🤖 Trending AI Subreddits - June 20, 2026

[154 pts] nah

[29 pts] Complete crap compared to Fable. Still trying to give up constantly and say something can’t be done when it clearly can be. 2 hours to build a nice program with fable, going on a week of trying to clean it up with Opus

[48 pts] Nope. For me anyway, the difference in quality between Fable 5 and Opus was immediately noticeable, and Opus has actually gotten kinda worse in these last few days.

[31 pts] fuck the video, how did he do that heart so detailed?

[29 pts] It’s pretty cool So it is single shot huh

[15 pts] The ECG/single-lead rhythm strip examples shown do not represent the actual abnormal ECG finding they are labeled as. For example the multi-choice question shows a normal ECG strip that does not match up with ST depressions. I would say to avoid confusion either show a strip with the abnormality or don’t show a visual there. Should be an easy fix. ER doc and vibe coder.

[64 pts] In what scenario do vibe Coders use copy Paste in 2026? This meme smells like it comes from 2024

[20 pts] To be fair, pre ai it was pretty much the same thing just with google + stack overflow + crtl C ctrl V

[8 pts] average karma farm post

[36 pts] Next bug,we’ll all get 4-hour speed boosts and extra lives.

[23 pts] I thought fast mode was $ pricing only

[17 pts] Getting free resets right before the weekend is peak timing. Some people are gonna burn through this thing fast.

[42 pts] losing Fable made me explore more AI models than I have ever have and its really relieving. I recommend doing the same!

[22 pts] Dude I was waiting for an answer to a question when it went down. I asked it if my dad was coming back (he went out for smokes in 95) and it was thinking and just closed out

[12 pts] To have seen and loved Fable for 72 hours is far worse than having never met her at all. The pain of this loss is nigh unbearable.

[488 pts] https://preview.redd.it/s6z6erj8ig8h1.jpeg?width=1200&format=pjpg&auto=webp&s=dfed1af0cc78f7017d2b73606b44d2dcdfb5f768 This guy

[129 pts] Can u send me ur .env.local file?

[46 pts] Json Statham

[94 pts] These kind of people will poison the well for everyone else.

[43 pts] Lot of people acting like they were top tier full stack engineers a year ago. Revisionist history. The average 5 hour replit project undergoes more security scrutiny testing than most startups put into their MVPs a year ago. Nearly every marketing agency in my region was (and many still are) shipping Wordpress slop, charging 5-6 figures, that gpt 3 could find backdoors into. The gatekeeping ego and cope in this sub should be studied.

[17 pts] Democratized tools mean that anyone can do it. That means that people that won't be thorough have as much access to investors as people that will.

[13 pts] I feel bad for the software devs 

[8 pts] More like 2015, but I can confirm it was ridiculous in the 2010s

[5 pts] rn they treat trades people like swe in 2014

[31 pts] 

[17 pts] Yeah it’s definitely marketing more than anything, having a banner up to tell you it isn’t available is totally pointless.

[7 pts] Yeah, I get why people are annoyed by it. If something is no longer available, keeping the banner up just feels like teasing users rather than informing them. A simple removal or replacement notice would probably avoid a lot of frustration.

[7 pts] Under the hood, did it use react + remotion for pre rendering? The 3d spinning heart was cool. Did it import a 3d image as an asset? Curious how that one worked

[5 pts] Is your project live? Can you send me a link? Looks nice!

[2 pts] How the ultracode more powerful than the default Claude Code environment?

[146 pts] This *literally* what Casinos do. 

[14 pts] tell me this is fake

[21 pts] Codex has been doing this for a while too. I think the providers all know that a lot of people are bouncing from agent to agent now as they hit their limits instead of going with higher plans. They can’t keep us in their ecosystem if we do that. tbh they really do have a problem because there’s not much unique value in the code some shit capability.

[3 pts] This never happened to my 😃

[3 pts] It seems everybody gets different amounts. What subscription are you on? https://preview.redd.it/fv5hcgw43e8h1.png?width=1080&format=png&auto=webp&s=8feb37f76c46afb41b6857d8901b30f162e5da04

[2 pts] I still keep wondering wtf are people building to run out of quota almost mid month...

[3 pts] I use the old UI as well.

[2 pts] I still on cursor because of old ui to review slop llms give me. If i would need pure agentic approach i would switch to cc

[1 pts] Me too

[2 pts] just posted same issue on another post. I didn't see yours. It frustrating indeed.

[1 pts] Same. It is also slow when it does respond,and context seems to be off

[1 pts] yes there must be a bug at pricing, it says increase limits, and it wont unlock after evrey limit change

[1 pts] I’d separate three things before assuming it is a pricing change: a context/indexing change, a model/tool-calling change, and an accounting bug. The most useful signal would be a tiny repro: same repo, same prompt, same model, fresh chat, then compare the reported usage against an older run if you have screenshots/logs. If several people can show the same jump on a minimal case, it is much easier to tell whether this is backend accounting rather than just a bigger context window being pulled in.

[1 pts] I noticed the same, no change in workflow and I’m already at 20%+ in both buckets 3 days into the month on Ultra plan, when I’d typically be hovering around 5-10%

[1 pts] Just use a different model, tbh this question is too niche and specific to get a proper answer. You gotta remember this is frontier bleeding edge shit that didn't exist a few years ago. The concept of RAG didn't exist outside of the data science circles it was developed in. Additionally, these AI models are basically black boxes, few of the people using them know how they work (me included). Sure the weights are open, but do you understand them? I sure as shit don't. I'm an amateur making it up as I go, same as always. This is a lot of extra words to say "it's unlikely anyone knows, we're all experimenting here and this frontier bleeding edge shit". Also I'm drunkposting so maybe I'm just rambling. See username.

[1 pts] I'm going write a middle man service to fix the formatting going into cline or just write a function in cline to fix it

[2 pts] use claude code/ codex, this in my opinion is far superior

[1 pts] how is ur project and prompts? are they well-defined or too large? a prompt too broad will make agent to be exploring deeply before working and thats bad for token consume.... i ideal scenario for any agentic tool is to send a well-defined prompt and scope so tokens are not spent just to understand before impl something

[1 pts] I can't say if my prompts are good or not.As i'm very new to this ai boom, what I can say is that I define the functions, state the files that they are in or will be placed in. i do tend to try to plan out the data structures and alike first then give that to a chat bot to refine. I then look over it make personal changes and send like that... but im unsure if there is a better eay to do that... im an old fella so im pretty behind when it comes to this.

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[2 pts] See what you think about https://patrosasteroids.com/ It's a remake of a 1979 classic arcade game

[1 pts] Sectorscavengers.com https://reddit.com/link/osrpl1l/video/66p73y526g8h1/player Check it out! A roguelike deckbuilder in space :).

[1 pts] Hey u/Grand_Criticism_6776, thanks for posting in r/VibeCodeDevs! Join our Discord: https://discord.gg/KAmAR8RkbM Got startup or SaaS questions? Post them on r/AskFounder and get answers from real founders. • This community is designed to be open and creator‑friendly, with minimal restrictions on promotion and self‑promotion as long as you add value and don’t spam. • Please follow the subreddit rules so we can keep things as relaxed and free as possible for everyone. • Please make sure you’ve read the subreddit rules in the sidebar before posting or commenting. • For better feedback, include your tech stack, experience level, and what kind of help or feedback you’re looking for. • Be respectful, constructive, and helpful to other members. If your post was removed (either automatically or by a mod) and you believe it was a mistake, please contact the mod team. We will review it and, when appropriate, approve it within 24 hours. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/VibeCodeDevs) if you have any questions or concerns.*

[1 pts] plan to develop it more? Nice job!

[1 pts] Absolutely love the art direction. Really fun game too. I’ll need watching this and cheering you on 🔥

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[2 pts] Claude

[2 pts] Claude Design

[1 pts] Hey u/migsperez, thanks for posting in r/VibeCodeDevs! Join our Discord: https://discord.gg/KAmAR8RkbM Got startup or SaaS questions? Post them on r/AskFounder and get answers from real founders. • This community is designed to be open and creator‑friendly, with minimal restrictions on promotion and self‑promotion as long as you add value and don’t spam. • Please follow the subreddit rules so we can keep things as relaxed and free as possible for everyone. • Please make sure you’ve read the subreddit rules in the sidebar before posting or commenting. • For better feedback, include your tech stack, experience level, and what kind of help or feedback you’re looking for. • Be respectful, constructive, and helpful to other members. If your post was removed (either automatically or by a mod) and you believe it was a mistake, please contact the mod team. We will review it and, when appropriate, approve it within 24 hours. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/VibeCodeDevs) if you have any questions or concerns.*

[2 pts] yay, another one

[2 pts] In VSCode do ctrl+shift+v to open the nice view of markdown files

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[3 pts] I would track this at three levels, because raw invocation count lies. 1. Reachability: did the router/model ever choose the skill for a real user task? If not, it is either dead, poorly described, or only useful for rare cases. 2. Usefulness inside the run: after the skill returned, did its output change the next action? You can approximate this by logging a small receipt from the agent: used / ignored / contradicted / replaced by another skill, plus the next-step rationale. It will not be perfect, but it is better than only counting calls. 3. Outcome: did tasks with this skill succeed more often, finish faster, need fewer human corrections, or avoid a known failure class? A simple schema I would start with: - skill_name + version - trigger/query that caused selection - confidence or selection reason - returned artifact type - downstream usage: quoted, transformed, tool-called, ignored - task outcome: success/fail/unknown/human-corrected - failure tag if known Then rank skills by earned-use, not fire-rate. A skill that fires 500 times and gets ignored is probably context pollution. A skill that fires 20 times and prevents 10 onboarding failures is valuable. The hard part is defining success per skill. For an onboarding skill, success might be “new dev completed setup without escalation.” For a config-debugging skill, it might be “identified the failing config boundary and produced a verified fix.” Without that per-skill outcome contract, dashboards will mostly tell you which skills are popular, not which ones work. I would also prune aggressively. If a skill has no clear trigger, no owner, and no outcome metric, it will probably become agent dead code.

[4 pts] not a tooling gap, it's a measurement gap you can close in an afternoon. wrap every skill call so it emits four things on each invocation. the skill name, the trigger context, whether it returned something the agent actually used downstream, and the outcome of the task it fed into. the third one is the part everyone skips and it's the whole game. a skill that fires constantly but whose output never changes the next step is dead code wearing a costume. once you have that, rank skills by used-rate, not fire-rate. fire-rate tells you the router likes calling it. used-rate tells you it earned the call. anything with high fire and near-zero used is either a bad description pulling the router toward it or a real capability the agent doesn't know how to consume yet, and those two get fixed differently. don't build a dashboard first. log to a flat table for a week, eyeball the bottom decile, delete or rewrite those, then decide if the visibility is worth a real surface. most teams find half their skills never cross the used threshold and the agent gets sharper the moment they're gone.

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[5 pts] facing this exact problem right now , tell me if u find anything as well lol .

[2 pts] The thing you’re looking for is a context sdk. You need to treat context as Lego blocks, so you can compose patterns with them, just like react. Also, you need a way to pass information between them. Building a global context that everyone has access is a great starting point to start figuring out the best design for your system. ultracontext works well for that purpose. It’s open source, sql backed and you can mount the context as a portable filesystem with nfs. Full disclosure: I contribute to this lib because I was getting hair loss from managing multi-agent system’s ctx windows.

[2 pts] your instinct is right, multi-agent is rarely a quality upgrade. it's a parallelism tool. only worth the 10x complexity when subtasks are independent or need different context. the irreversibility-gate pain is usually shared state between agents that shouldn't share it. keep them stateless, coordinate via a queue not memory tbh

[3 pts] Right now, you are feeding the system too many tool details at once. even when you don't need all of them. This is what makes the system heavy and slow. **So, here is a better approach:** Instead of loading everything upfront, you can use a small search tool first that helps to find only the tools you actually require. Then, **Follow these steps:** 1. Ask which tool is required? 2. Load the required tool's details 3. Start using it. You can also improve the system by grouping the tools. **For example,** \> Grouping calendar tools \> Grouping email tools \> Grouping billing tools So, system will be loading the required group based on the request of user. These techniques can reduce the load upto 70-80% and enhance the speed. Please note that Anthropic actually published something similar regarding their MCP tooling. Maybe this can help you out: [https://www.anthropic.com/engineering/code-execution-with-mcp](https://www.anthropic.com/engineering/code-execution-with-mcp) Also recently I was reading in this group that someone shared if you make a prompt and you get the output and then you need to change something within the output then edit the existing command instead of giving a new prompt/command and it can save you a lot of tokens.

[2 pts] Implement it in whatever way is reasonable but, say, with modern CLI agents they have some sort of tool search or filtering so full tool lists aren't needed in opening context. You could also consider the paradigm of agent skills, banks of documents and scripts, those scripts essentially acting like additional local tools and the agent will load them in as the task is needed.

[2 pts] There is an open source tool called headroom that could help you. I wrote about my experience with my agentic setup (10% toking savings) but could go up to 60 to 90% depending on you scenario Post: https://theapplied.substack.com/p/this-open-source-project-cuts-token-spent-95

[3 pts] I resonance highly with the creator of openclaw when he describes his workflow like a cycle, when he was on Lex Friedman's podcast.(great tech pod) 1 chat -> becomes 3 to 5 chats, -> peak producitivity 10-15 chats at the same time.. and the memory collapse -> start over with one chat to summarize and plan again. And its not suppose to be like that but we dont have massive context memory yet so.. yea varely any choice unless someone drops an structure we can use as devs. One that really works. Im using diffrent tools but find codex connected to cli or IDE being the best thing out of the box, openai is still the emperors of prefabricated ai, you still gave to be careful when prompting to it and its delicate work.

[2 pts] mostly still cli with [npcsh](https://github.com/npc-worldwide/npcsh) but also some with [incognide](https://github.com/npc-worldwide/incognide) gui agents

[2 pts] Why knot both?

[2 pts] The length-vs-complexity issue is the main trap. I would add two controls around the router before tuning model choices too much. First, make the router emit a structured reason, not only a tier. Something like task_type, risk_level, reversibility, reasoning_depth, context_need, and confidence. That gives you a way to audit whether it is escalating because the task is actually hard or because the input looks intimidating. Second, run a replay set every time you change the routing prompt. Keep 100-300 representative traces with known acceptable outcomes and compare: - tier chosen - latency - cost - final task success - unnecessary escalation rate - harmful downgrade rate I would optimize harmful downgrades before cost. Saving 40% while silently sending edge cases to the wrong tier is worse than a slightly expensive but predictable system. One pattern that works well is “cheap default, explicit escalation, automatic de-escalation only after shadow evals.” Let the router move requests up immediately, but only move a class down after repeated traces prove the cheaper tier preserves outcome quality.

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[1 pts] this is really clean. the input length vs task complexity confusion is something i hadnt thought about until you named it, but it makes total sense that a 2000 word "summarize this" would trip the orchestrator into over escalating. The part im curious about is how you actually validated the tier decisions are correct. like you know 4% hits premier, but how do you know that 4% is the right 4% and not say 2% genuinely needed it plus 2% the orchestrator got scared on. is there any ground truth youre checking against or is it more tuned by feel and watching the loop. Also the speed numbers are interesting to me bc they shift the whole calculus. a model being smarter doesnt matter if it tanks the loop feel. did you benchmark those latency tiers yourself or are the 2-5s / 7-8s numbers from the providers. asking bc cold start vs warm latency tends to vary a lot in practice and im trying to figure out how much to trust published numbers vs measuring my own

[21 pts] TLDR: \- iMessage with no Mac relay \- background subagents that hand back the result when they finish \- image-to-image editing inside image\_generate \- automation blueprints that build a schedule by asking you questions instead of cron syntax Hermes FTW https://preview.redd.it/ju7xbh55td8h1.png?width=680&format=png&auto=webp&s=5d48654c53005bb60cfad4a877e9586c8ccd97c3

[4 pts] update don't work on termux EDIT: it works! pip needs updating, so beforehand I recommend first updating pip..the same issue had on 2 separate agents

[2 pts] Thank you so much. Loving Hermes so far.

[8 pts] Now you gotta make a YouTube video explaining how you pulled this off.

[3 pts] Eh...... Why not just use free webchat AI?

[3 pts] I don't really understand the effort. I also have the free tier VPS from Oracle. Hermes installed and Telegram easily integrated (done in less than 2 minutes). Various free LLMs (Openrouter free, etc.) connected via manifest.build.Manifest automatically recognizes which model is best suited for the query.

[15 pts] Hermes can work complex projects but not with a cheap llm. If you want to use cheap llm you need extra memory mcp and very hard rails. You need to configure the soul.md as tight as possible. I use Hermes for coding in my custom mission control. I add some guidance there too. Also you need to teach him. For example, he doesn’t now he is inside my mission control software and i forgot to change the sandbox to the new repo. He was trying to erase some files to clean the repo and obviously mission control were not allowing the destructive command. So he says I will use write file to erase everything and leave it empty. I stop the run and make a new rule for his memory explaining that if he can't do something stop and notify and also he can't create empty files if he can't erase them. So he update his memory. As you see Hermes is my toddler, he can't run well enough but he likes to run. Show him to walk well first before he can run. Hope this helps.

[2 pts] Good to know about the sessions dropping when the parent session closes. I've been trying to set up custom subagent\_routing to my other two GPU workstations but the process is currently bugged. I told hermes to search for possible fixes once I spent some time with it trying to work around the issue. It seems fallback providers are part of that process and bugged at the moment. I can set a single other workstation as the 'delegation' config block but I don't have enough concurrency for more than 1 agent at a time on each so we tried custom subagent routing changes, but the fallback issue might be part of it. I've been slowly piecing together a framework using psql and pgvector to do something similar with multiple claude cli sessions but not so tightly coupled. I was hoping this agent delegation in hermes would work but guess I'll go back to the other approach. I have not provided hermes with those details yet but it's possible it could work better. I keep branching into other related projects and need to focus and finish it. There's an open feature request (GitHub #7481) that directly addresses our situation. It notes that delegate\_task does not inherit the global fallback\_providers chain. Currently: \- The main agent has its own fallback chain \- Subagents only use the single delegation.provider — if 224 goes down, subagents fail even though other servers are available [https://github.com/NousResearch/hermes-agent/issues/7481](https://github.com/NousResearch/hermes-agent/issues/7481) On another note, I'm blown away by how much context hermes uses. The 64k minimum is WAY too low. I'm using 131072 with qwen3.6-35b-a3b Q6 on a 5060ti for background processing of whatever I manage to set up with hermes but am going to need to switch over to my bigger gpu setup to stand up any processes. I have my compress trigger set to 90% and it happens so often, and hermes will just start processing again after waiting for a multiple choice answer. Everything is going in a docker sbx sandbox with cloned files into it's folders to try and limit any possible damage that could occur from a bad generation. 35b at Q6 is not as good as 27B fp8, I've had to correct a few config setup goofs but nothing major, just missed key values.

[2 pts] I have had no problems with background tasks. I’m curious what yours is doing to fail.

[1 pts] Do you find yourself needing just one main profile with the dev profile or do you have multiple? If you have multiple how do you handle the routing there?

[1 pts] Thank you for sharing! I've been working on something similar with some hardware limitations and this "post-guide-description-Walk-through" is a golden reference doc.

[1 pts] We are never ever going to read anything smaller than a whole ass page right ?

[4 pts] Thanks for sharing this research. I was hesitant to enable iMessage after the Hermes announcement because of the third party - Photon - intermediary. I haven't read the Matrix self-host guide, what's the tldr?

[3 pts] Ya I came to same conclusions. I’m a little surprised they are pushing the Photon integration. It’s very insecure 😕  Wondering if they got paid for the Photon iMessage integration marketing push  I’ll just continue to use signal-cli integration. 

[2 pts] Any thoughts on Hermex?

[2 pts] Just pay for api usage

[2 pts] The question is not that clear to me, not sure how you use the prompts and the models at all. As I am understanding your issue you need to create a simple agent/app and maybe use gpt-image-1(cheapest) for generating the images

[2 pts] well you should ask if a given prompt works well in a given AI image creation provider. share one of your prompts and you'll get some feedback from the community

[1 pts] That’s so funny because I also built a resume builder when I was trying to figure it all out a couple months ago. 

[400 pts] Well yes I don't think 312k people have the hardware to run GLM 5.2, haha.

[316 pts] drop air or flash and you can probably get #1

[134 pts] Well, if you include Fable 5 in the name, you are going to be on the top.

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[67 pts] This seems quite remarkable. Are you trying to get on Two Minute Papers?

[15 pts] Is there a GitHub repo? I’d love any additional technical details you’re willing to provide!

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[50 pts] The thinking has never been a problem with llama.cpp. Use reasoning\_budget to limit how long a model thinks for. It's better than reasoning\_effort. With reasoning\_effort, you still can't control how much thinking. I have played with this from 0 to 32k in 4k increments and I find that 0, 4k and 8k are often great enough for 99% of things.

[9 pts] > Finally after 6k tokens on the high level with Q4 quant I got an answer to my math question. It is Ok, but it is only half right. As a comparison in z.ai chat on max level answer was much better. I had similar experience with other big moe models. People were cheering for minimax 2.7, mimo 2.5, stepfun 3.7 etc and I ran them at q4 to q6 and none of them produced better results than qwen 3.6 27b (q8 or bf16) for some reason. (they either produced half assed responses, wrong results, or mediocre outputs etc) I haven't tried them on cloud though at full precision so I can't say anything about that. I probably should have. My point is, it seems to me they lose a lot when they get quantized. Not sure if the tps affects anything.

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[125 pts] this is pretty messed up how often these 5090 cards are destroying themselves.

[25 pts] It always seemed to me to be a remarkably minimal connector for so much current.

[47 pts] This type of benchmark should change the subject to render every couple of months. Pelican is definitely overtrained by now.

[16 pts] I deleted the earlier post because I forgot to crop the image. I was quite excited. Hehe. I saw somebody mentioned that pelican is in the training data though. Sad if true.

[3 pts] wild how well the pelican test survives heavy quant, it leans on world-knowledge more than precision so iq2 holds. you’ll feel the quant bite on long coding/agentic runs though, it drops context way faster than full weights.

[65 pts] I run Qwen 3.6 27b locally for coding, Claude Opus for design. Claude creates tasks for Qwen and she codes and builds for testing. I can get a lot done on the $20 Claude plan this way.

[21 pts] 48GB just barely fits Q8 and context. It’s not enough to run + a dev environment or basically to run anything else alongside

[70 pts] If you are an engineer or a software dev, you can make QWEN working, but not otherwise. If you expect it to make you functions app's with only vague descriptions, it will mostlikely not work. In other words, it takes a bit babysitting.

[15 pts] Guys please don't use your main/personal Microsoft account for this. It's a experimental project, so there's always a small risk of rate-limiting or a lock. Spin up a throwaway Microsoft account, test with that, and keep your primary one safe. 🙏

[11 pts] Is it actually 4o or a more modern model? I can't believe they're serving 4o, when they could be serving GPT 5.4 (which is the exact same size as 4o)

[5 pts] I did this for my enterprise codex account. Works great

[3 pts] Nice one! Did you code up llama-swap yourself? I dived into Omnigent this week, now I realize I need a better solution to manage model serving across a few GPUs and services.

[3 pts] Where is your server hosted? I’m curious where did you learn to host your own models on the cloud and oauth as well?

[2 pts] Niceee, wish i could afford a pro

[3 pts] Really nice project. I dont own a Radeon, but I can see the appeal.

[3 pts] I've been gathering notes on fine tuning a model for the nix programming language on my RDNA4 GPUs. Anything I should be aware of? I see your notes above. I'm just trying to conceptualize everything to be in my declarative build environment.

[8 pts] TIL the product of the ordinal of the letters of the word hello equals the number of seconds in a day (or maybe not because I didn't check the math)

[5 pts] Fairly common experience with smaller models when you have thinking on (which is on by default.) Same thing happens to me when I run Gemma3 or 4 with 2 or 4 billion parameters with “thinking” on. “Thinking” should have been called “pointless musings” or “stream of wordy words”. I get that it can have an advantage in particular situations, but it sounds like this in most cases.

[4 pts] Also probably check your system prompt as the reasoning seems to imply that the system prompt says "You will be given a problem. Please reason step by step, and put your final answer within ..." this seems to be the root cause of the reasoning failure. That and the model might have been lobotomized a bit too much lol. So it was looking for where the "problem" was

[3 pts] clever workaround, using the session cookie approach instead of trying to intercept traffic is the smarter move here. my only concern is how long before microsoft detects the automation pattern and starts rate limiting or banning accounts at scale

[1 pts] 1000 percent I'm gonna get my microsoft account banned but I might make a new one on a new device to run this for automations and such. Thanks for the work bro!

[1 pts] Can we get GPT-5.5 (Instant?) on Microsoft 365 subscription?

[1 pts] Well yeah but what else can you do? Fuzzy output requires fuzzy validation and ain't reading all my test outputs myself

[1 pts] The way I usually frame it: LLM judge is a regression signal, not a binary test oracle. For production evals, I’d split the suite into layers: - deterministic checks first: schema, required fields, citations present, tool call shape, forbidden claims, safety constraints - small golden set: hand-reviewed examples where exact expectations are known - judge-scored set: larger fuzzy set, but tracked as distributions over time rather than pass/fail on one sample - human audit sample: only for cases near the threshold or high business impact The judge becomes useful when you look at movement: version A scores 82, version B scores 76 on the same frozen set, with the same rubric and judge config. That is different from saying one single judged output is “correct.” I also like using the judge to explain failures, then turning recurring failure modes into deterministic checks. If the judge keeps flagging missing evidence, add an evidence/citation validator instead of relying on the judge forever. So I agree with the premise, but I would still gate builds on a combined policy: hard deterministic failures block immediately; judge regressions block only when they cross a defined delta or affect critical slices.

[3 pts] You don't need to know which LLM calls are actually wasteful... These aren't the tokens you're looking for... You can go about your business... Move along. 

[2 pts] I usually separate “wasteful” from “expensive but justified” first. Otherwise every large call looks suspicious. A practical trace review has worked better for me when each call gets a reason code: - duplicate: same intent + same context window within a short TTL - over-modelled: cheaper model reaches the same task-level outcome in shadow evals - context bloat: retrieved/passed tokens were not referenced in the final answer or tool decision - retry waste: retry changed wording but not outcome, or repeated a deterministic failure - loop waste: agent took extra steps after enough evidence existed to stop - frontier-required: keep as-is because failure cost is higher than token cost Then sample by cost bucket, not just volume. The top 5% most expensive traces usually reveal different issues than the most common traces. The useful metric is not “tokens saved” alone. I’d track saved cost with no task-quality regression, plus false positives where the scanner would have downgraded a call that actually needed the stronger model.

[2 pts] Most waste comes from repeated classification, routing, and tool-selection calls. The best teams use traces to identify patterns, then replace them with rules, caching, or cheaper models.

[1 pts] I have made custom models for doing mathematical proofs

[3 pts] Openrouter as a start. Even better, prove the idea in a AI IDE first. Create a project, put in your knowledge, see if you can get it to do what you want.

[3 pts] start cloud-first with api providers like openai or anthropic, move local only if data privacy becomes a hard blocker. renting gpu on demand is better than buying hardware early.state management is where things usually fall apart, not model choice

[2 pts] Learning the hard way that there’s a lot of  providers out there cheaper than Bedrock and the like.  Swapping out Haiku/Sonnet for GLM 4.7/5 my expenses went way down. Looking at some of the Asian providers out there costs will be like 1/7 of what they were.  The inference isn’t quite as good but a couple small deterministic checks took them up to par. 

[31 pts] i am not an expert, but I always though that MoE models anyway got fully loaded into memory but only part of its weights is using during inference.

[10 pts] Waiting for llama.cpp support...cause i don't have 1TB vram. 

[5 pts] pulled it yesterday, been testing for about 8 hours. 23b active is real but you still need all expert weights loaded for routing. running a q2 gguf on a mac studio ultra 192gb and its usable for single turn stuff. sparse attention picks which blocks to attend per query so long context doesnt blow up linearly. fed it a 200k token codebase and it still pulled relevant functions. biggest caveat, quantized generation speed is noticeably slower than a native 7b. speed degrades but the quality gain makes it worthwhile for anything beyond simple chat.

[11 pts] You might want to try newer models Try Qwen 3.5 4B/9B, it should be a lot better than 2.5 series and should recognize tools better

[8 pts] In model page in ollama look for tag that says tool calling or tools

[4 pts] that model is not for tool use..its simple as that..very good one for coding, but not tools

[3 pts] DNS blocked everywhere.

[3 pts] My dns provider blocked them as well suddenly this morning..after unblocking its going..not sure why they got blocked. Maybe some cert issue.

[2 pts] Yeah it was a dns issue.. it's cleared up now by adding in the cloudflare and Google DNS servers.

[3 pts] I'm using qwen 27b ( nvfp4, MTP, text only) with 200k via Claude code. I set up a local proxy that routes traffic, depending on the model, either to Anthropic (Opus) or to VLLM for Sonner and Haiku. This lets me take advantage of Claude Code’s optimizations, especially for system prompts, sub-agents, etc. (It’s pretty funny that when I ask Qwen via Claude Code who it is, it replies “Sonnet,” but I can clearly see VLLM doing the work.) But most importantly, it lets me use OpusPlan mode, where Opus creates the plan and Qwen executes it. It seems to be working pretty well, and it’s a great way to save on tokens et le model is driving thank to my Claude.md and the opu's plan

[2 pts] That’s a great idea!

[2 pts] 👍🏻👍🏻👍🏻

[4 pts] Actual tutorial technical implementations of an llm are so hard to cross by, this is great!

[1 pts] Thanks 👍

[1 pts] Hi I watched your video but i would like to train a smaller one locally on my pc, is it possible?

[29 pts] The paper says JEPA's advantage is "not wasting capacity on unpredictable detail." But in a deterministic bouncing logo, everything is predictable. The supposed advantage literally cannot manifest.

[9 pts] This is some bias research tbh, and I'm also working on world models

[6 pts] I would expect this world to learnable via direct prediction in the pixel space as well? The authors should at least add that as a baseline for comparison

[3 pts] Koopman >>>>

[2 pts] Recurrent neural networks will rise again... stay strong #RNNTruthers our time is coming..

[2 pts] In classic Reddit fashion, before even having read further than the title: Yes it does! A different approach to understanding system better would be trying to get consistent robust representations, I am thinking about JEPA, why would you not do that or is is comparable somehow?

[148 pts] 3 papers at reasonable venues in 4 years? Yes of course. Not all work goes into A* venues. 

[27 pts] PhD programs are about training people to be researchers. What is this gatekeeping about specific venues?

[74 pts] just another phd pleb, but based on those descriptions, i would hope the supervisor lets them graduate. 3 A first-author + clear direction for their thesis sounds pretty good to me

[1 pts] Organized well, will give it a read and hope to find sone “TIL” stuff. Thanks for doing this.

[42 pts] This is not simulating. This is generating stochastically similar frames that look similar. There are no internal game states or systems. The world is just generated as you move, frame by frame, looking like GTA. As cool as the tech is, there is no game here. Just wanted to add this because many people are confused about what this is.

[12 pts] Which RTX please ?  There a gap between a 2060 and a 5090ti 😅

[3 pts] we're going to have GTA6 diffusion model before GTA6

[1 pts] Wow! This is going to be my weekend reading. I will definitely leave the feedback after getting through the material.

[1 pts] thanks! I'll check this out

[16 pts] The ML space is moving very fast. Do you want to do research or develop products? My advice; get your grades up. Get a solid education at a university that is known for whatever area you are most interested in. Don’t let yourself be deterred by any setbacks. A good education, I say? Yes, so that the floor doesn’t so easily shift right out from under your feet. It sounds like you are already going a good direction. Do something very well. Have fun.

[6 pts] Do MIT 6.86x

[5 pts] Well you should dive into deep learning and the Math behind it then, you said you're 16 so Im assuming you're already taking calculus

[7 pts] https://youtu.be/ViVBWYyL_8c?si=QppPjeRJbQvu6xYU

[2 pts] Can u share the playlist link? Not the video The playlist

[2 pts] the topic graph UI looks really clean, that kind of visual navigation makes big difference when you're trying to figure out what to learn next. bookmarked this, the transformer and LLM sections alone are worth it.

[2 pts] I really appreciate you sharing these. Thank you!

[2 pts] The graph visualization is a solid way to show how everything connects - beats scrolling through a wall of links trying to figure out prerequisites.

[2 pts] Running a TTS model on actual hardware constraints rather than just benchmarking it against bigger systems is refreshing. The vocoder being the bottleneck at this scale makes sense, since you're essentially trying to reconstruct audio from a model that's been starved of parameters everywhere else. I had a go with a tiny speech synthesis project years ago and kept hitting that same wall where the final audio quality tanked because there was nowhere left to cut. The use case for embedded devices and offline assistants is where something like this becomes practical rather than academic. Not everyone needs natural-sounding speech if they're just getting voice feedback from a local application or running something on a Raspberry Pi. A v2 with a bigger training budget could be interesting if you're willing to push the parameter count up to, say, 10 or 15M and see where the quality curve actually bends. Worth publishing the limitations openly though so people don't expect this to sound like a commercial model.

[5 pts] I guess Ed donner Udemy course are really great for rag/LLM in general . His AI production course explains you how to deploy your AI application and monitoring it and observing it. His Core LLM course goes in depth to explain you all the advance Rag strategies although he doesn't code from scratch the code is mostly written and he explains the codes. He follows a method of learning which motivates you to make changes to existing code bases and learn from it

[1 pts] If you already did the basic LangChain + vector DB phase, the biggest jump is usually (a) evals and (b) real deployment constraints. A few things I would look for in a course (or just self-study path): - retrieval evals (groundedness, answer correctness, citation quality) - chunking strategies beyond fixed size (semantic, structure-aware) - rerankers + hybrid search (BM25 + vectors) - tool use + agent planning with guardrails - production stuff: latency budgets, caching, tracing, prompt/versioning Also, build one "boring" internal app end-to-end, even a support copilot, because you learn more from logging and failure cases than from another PDF chat. If you want a place to keep your learning plan, notes, and tiny agent workflows organized, https://www.aiosnow.com/ can be useful as a personal operating system while you grind through projects.

[1 pts] check if your embeddings actually capture your domain before stacking rerankers. a fine-tuned embedding model often beats the fancy pipeline

[1 pts] Thats nice i wanted to ask for the deployment part what about streamlit also how to make the front end?

[10 pts] Sorry but it's not a necessity to mention your age and especially your gender to learn ml, and that too when this app is filled with a lot of creeps. But anyways if you want to study ml I'd suggest to read books such as islp and back it up with hands on ml book, you can also watch the ml specialisation by Andrew ng instead of islp if that's too dense for you

[3 pts] you're already doing official deployments and getting govt funding at 16? honestly you're already ahead of most college graduates lol, don't sweat the framework stuff too much

[2 pts] getting a job as a researcher would require having either notable research contributions or a masters/PhD. engineering is pretty much dependent on stuff you've built and your experience. both would require understanding deep learning, traditional path would be to learn the classical machine learning algos like support vector machines, decision trees, gradient boosting, etc.  to understand those you'll need to understand calculus, linear algebra, and probabilities and statistics if you want to do serious model related research.  if u really wanna do research just read the papers and research the stuff u dont know and you'll eventually reach state of the art and find interesting contributions.

[3 pts] hierarchical reward systems do exist, multi-objective RL and things like reward shaping try to handle this, the tricky part is that LLMs don't really have "time" the way we do so long-term consequences are harder to define in training

[2 pts] Even in standard next-token training there's a bit of a "long-term" effect. A single token can drastically change the meaning of an entire sentence, so getting that token wrong can produce a large loss. However, because LLMs are usually trained with teacher forcing, a wrong token doesn't directly cause additional loss on future tokens in the same sequence, the model is still shown the correct continuation. The cascading "one mistake ruins everything after it" effect mostly happens during inference rather than training.

[1 pts] **TL;DR of the discussion generated automatically after 160 comments.** The thread has spoken, and the verdict is in: **this is hilarious, but entirely your fault.** * First off, everyone and their dog noticed you used **Sonnet 4.6 low**, which the community has affectionately dubbed 'imbecile mode.' What did you expect? The general advice is to use 'High' effort or a better model if you want a real answer. * While the top comments are all jokes about whether the hotline could help with your credit card ("Claude knew what you *really* needed"), the real star of the show is Claude's sassy "Ha! Sorry about that" before telling you to just look on the back of your card. * There's a strong 'don't use Claude as Google' sentiment. Users are pointing out that asking an LLM for a bank's phone number is a terrible idea and that you're lucky you didn't get a phishing scam. * Apparently, you're not the first. Others have noted this has happened before. The leading theory is that phone sex lines buy up old, defunct 800 numbers that are still floating around in Claude's training data.

[630 pts] Claude knew what you really needed, not what you were asking for.

[717 pts] Were they able to help you?

[1 pts] **TL;DR of the discussion generated automatically after 320 comments.** Looks like the hivemind has spoken, and **the consensus is a resounding 'yes' to OP's point.** The top comments are from engineers and software devs rolling their eyes, pointing out that 'load-bearing' is a completely normal and useful term in their fields. Similarly, many are mourning the em-dash, a perfectly good punctuation mark now seen as an 'AI tell' thanks to Claude's overuse. The general feeling is that people with limited reading experience are flagging normal writing as AI-generated. Mostly, though, this thread is just a goldmine of users ironically dropping Claude-isms. The top comments are a bingo card of: 'That’s the smoking gun,' 'and honestly? that's rare,' 'you're right to push back,' and 'now I have the full picture.' It's a whole vibe. A more nuanced take is that the problem isn't the phrases themselves, but that AI uses them in a slightly 'off,' context-free way, creating a weird uncanny valley of text.

[290 pts] That’s the smoking gun if you ask me

[541 pts] Considering I'm a structural engineer, I'd be raising an eyebrow if I didn't hear (or said myself) "load bearing" at least 10 times a day. What's the context you guys see Claude say this??

[1 pts] **TL;DR of the discussion generated automatically after 80 comments.** Well, this turned into a whole thing. The community is pretty split on this one, but the general feeling is a classic "you can't please everyone" situation. **The consensus is that while a nice gesture, the timing of the reset was a major point of contention.** * A ton of users are salty because their weekly reset was scheduled for Friday anyway, so they feel like they got zero benefit from this. * Another big group is humorously (or not-so-humorously) lamenting that their weekend plans are now shot because they feel compelled to use the fresh limits. The FOMO is real. * Of course, there's a third camp telling the complainers to chill out and just be grateful for the freebie. * Some are cynical, claiming the weekly limit is just marketing and the *real* bottleneck is the 5-hour limit, making this reset a hollow gesture. Others are just wondering when Fable is coming back. * Also, one user thinks our auto-moderation is broken and this sub is a "corporate damage-control desk." We're looking into it. (We're not.)

[205 pts] Lucky those who maxed out early

[192 pts] Whaaaaaaaaat?!?! I am supposed to be off this weekend.

[1 pts] **TL;DR of the discussion generated automatically after 80 comments.** **The community agrees with the premise but is dragging the meme's execution.** The overwhelming consensus is that if new devs are skipping steps, it's because the job market is the real villain, demanding 5 years of experience and 10 different frameworks for entry-level roles. The specific 'learning path' in the meme is also getting roasted. The top-voted comment is basically "I'd skip PHP and Laravel too, lmao." People are also confused about why HTML is at the bottom and Data Structures/Algorithms are near the top, calling the whole ranking nonsensical. There's a classic "get off my lawn" debate raging. Some older devs are glad they learned the "grind" pre-AI and think it makes them better coders, while others argue this is just normal technological abstraction, like how we don't compile our own code anymore. The most relatable comment comes from a junior dev who was told by their manager to *stop* using AI because the "slop" was wasting seniors' time. Oof.

[134 pts] Unfortunately this is also what market demands. They finish their education and the first job they apply for demands 10 frameworks and 5 languages

[102 pts] I mean if the path has PHP and Laravel in it I'd skip it too

[1 pts] **TL;DR of the discussion generated automatically after 40 comments.** Okay, everyone made the 'jumped ship' joke, we get it. It's the top-voted sentiment, so congrats, you're all hilarious. **The consensus is that this is a massive win for Anthropic and another sign of a serious brain drain at Google.** The community figures it's a smart career move, giving him a boatload of pre-IPO shares and the freedom to do actual science instead of being stuck on Google's product treadmill. This is being seen alongside other big names leaving Google, fueling the narrative that they're fumbling their top talent. There was also a weirdly specific tangent about *Only Fools and Horses* that we're just going to ignore. You plonkers. Oh, and for those wondering about non-compete clauses, the thread agrees they're largely unenforceable in California. And no, for the hundredth time, Anthropic is not 'part of Google'.

[191 pts] It was in the name

[39 pts] Noam Shazeer also is leaving google for OpenAI. Although in his case, it seems to be because he's gone on rants and stuff attacking transgender people in google internal forums and Jeff Dean and others shut him up. And his posts were even deleted by Google. But that's 2 high profile exits from Google and they'd bought Noam Shazeer back for a billion USD. Wonder what he's making at OpenAI

[9 pts] I hope google keep on competing in the AI space but tbh I barely use their stuff because of the heavy handed censorship and watermarking.  They are really shooting themselves in the foot by listening to the AI doomers too much. 

[11 pts] noam shazeer changing teams feels like a company transfer

[-1 pts] I am using Chatgpt more these days because of how good the 5.5 update was, in comparison to the current gemini which struggles generating picture without allucination from time to time. Furthermore, long chat becomes a nightmare with gemini too - even paying the pro model. While chat let's go create projects with multiple chat windows in it, and long thread don't break it as often. Google needs to level up but I get it: they are more into having gemini into their search rather than its own thing.

[5 pts] Not going to lie but as somebody who mostly uses LLM's for porn (+ some simple excel modules for work) Anthropic is so far behind on AI safety compared to openAI it's laughable. I've seen it do things where I just sit back and go "wtf is THAT?" It struggles so much more with keeping fucked up shit out of the writing.

[6 pts] They built their name on “constitutional AI” being the be all and end all. It’s not, as the misalignment in the Fable system card shows (and the frankly terrible behaviour, bordering on criminal, on vending bench) Turns out constitutions are really hard to write without loopholes, and without a TON of RLHF to say whether or not the constitution is really being followed it’s just theatre. Safety is their marketing spin at this point, OpenAI’s models turned out better aligned despite Dario saying the sky was going to fall with the way they were mid and post training models.

[6 pts] Who cares about safety? What could possibly go wrong?

[1 pts] https://preview.redd.it/zjm8j7x8wf8h1.png?width=1085&format=png&auto=webp&s=a1803c0ebdedb06a0048bad08f21db0f309b646c I also wanted to give it a go. I know it's a different style than yours.

[6 pts] Ask it to compress your memory into a document which you can download, then upload that document to the sources section of your project. ChatGPT itself gave me this advice: Ask ChatGPT to review and compress your saved memories into a clean personal context document. Then save that document somewhere safe and upload it to a Project or keep it in your Library as a backup. Also ask ChatGPT to help you merge duplicate or outdated memories, keeping only durable preferences and important facts in actual memory.

[1 pts] When you use the projects section for sources, does it index the documents like a standard chat memory retrieval or something differentd

[1 pts] I would also highly recommend requesting your data from GPT. Can take up to 48 hours for the Zip file to be mailed to you. But at least you’ll have the data and JSON to go with it. I use a custom parser/map to navigate it.

[356 pts] New model better than old model!!

[75 pts] Pro has gotten much worse over the past few months... so no surprise.

[149 pts] Gemini is so so behind 

[69 pts] Is that somehow newer than 3.5 flash? 🤔 https://preview.redd.it/x4snqyl3cc8h1.png?width=1140&format=png&auto=webp&s=24903146be9b25fe7bc28671d25c7ecd4386a648

[44 pts] It's an old pop-up. All you have to do is click "See Models" and notice that nothing has changed.

[166 pts] The whole gemini interface is vibe coded trash since the last redesign. 

[123 pts] Google is vibe coding with their knowledge cut off

[38 pts] It's evolving... Backwards

[48 pts] I got same thing bro f is that?

[81 pts] He copy pasted the thinking progress from Gemini.

[161 pts] "Most of team leaving" (2 people). Wow the OpenAI propaganda is strong this morning.

[140 pts] > Most of the Lead AI engineers leaving Deepmind One weirdo was asked to leave and another person who had been there for almost a decade wants to go and do something else. This isn't like the biblical exodus from Elon Musk's ventures with people leaving because they can't stand the vision of the CEO. It's normal churn in an organization with 6,000 people.

[54 pts] This is what happens when you let claude push commits to prod...

[11 pts] Just got this too for some reason

[16 pts] i remember 2.0 flash thinking experimental with apps. peak ai naming.

[200 pts] the youtube robot finally has to clock in

[152 pts] That's hella cheap

[106 pts] They're developing some of the best robots, with significant potential for industrial use in the near future. Why tf nobody wants them?

[64 pts] Stonks! (For me!!!)

[53 pts] And some of them are even open weights. Great times.

[36 pts] >If AI models become equally good, what will companies compete on next? Using the coercive power of the state to legally block competition on made-up reasons.

[68 pts] Its the neck the servos are too abrupt. Accelerates too quickly and stops too quickly. If they dial itvdown it will look more human

[28 pts] 

[20 pts] We are almost sitting dead center on the uncanny valley which is a good thing technologically

[51 pts] So it looks like a bunch of companies handed unlimited budget to unvetted employees, who ran up the tab with "agents". Since you can scale up spending of those as much as you like, it's important to verify they are actually cost effective before giving them unlimited budget. Now they are learning an expensive lesson.

[23 pts] If you hate negotiating with unions you’ll love the new and improved ‘Neo-Unions’ where the AI is contracted by a corporation that can squeeze you for subscriptions costs whenever they want to appease their shareholders 😎 All. So. Predictable.

[9 pts] cause nobody wants to see Marshall no more, *they* want Shady, *I*'m chopped liver. Well, if you want Shady, this is what *I*'ll give ya.

[5 pts] LLMs responding with "Sorry, I can't help with that" is about to scale to unprecedented levels in Germany. 😂 **Edit-** > *The Munich ruling goes far beyond this one case.* ***An analysis by AI startup Oumi for the New York Times found that Google's AI Overviews with the current Gemini 3 model answered correctly 91 percent of the time.*** > *That's solid enough for everyday use by most people. But at Google's scale, it still means millions of wrong answers every hour. If enough of that wrong content defames companies or individuals, it could become a serious legal problem not just for Google but for other providers of similar services like ChatGPT, Claude, or Perplexity.* https://the-decoder.com/landmark-german-ruling-declares-googles-ai-overviews-are-googles-own-words-and-makes-it-liable-for-false-answers/ Yeah, I'm not sure they will be able to get it to 100% accuracy any time soon. 91% is already super high but as the article I linked above points out, it's still means millions of wrong answers at the scale that people use Google Search. All I know is that if this ruling sticks, be prepared for an influx of Germans coming on Reddit to complain about how their LLM of choice "Won't answer basic questions" without realizing a judge in their own country caused the lobotomization. 😂

[92 pts] Europe is going to lose all AI access at this rate.

[8 pts] All Google needs to do is stop publishing lies.

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[24 pts] Who’s the 4th guy? Wants to live forever.

[92 pts] This is, very seriously, the greatest thing I have ever seen in my life.

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[21 pts] what the heck do you announce it for? just peer review it

[54 pts] So the bottleneck they’re talking about is attention because it is O(n\^2) everytime; they replaced it with sparse attention which is worst case O(n\^2), and much lower than that for most tewt

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[20 pts] Please stop posting clickbait garbage. They did not ban Claude! They forced their staff to use Copilot as the interface which uses Claude or ChatGPT as the backend model.

[74 pts] This is desinformation because MS just wanted their engineer to use their own in-house product instead of claude code (github copilot).

[62 pts] AI slop post, with incorrect info as well They don’t use a draft model for spec decode for GLM, everyone would jizz if GLM released a smaller draft model. They used the MTP layer.

[16 pts] Lord. Having seen GLM 5’s processing speed I can’t even imagine how slow it would be with extra network latency 

[7 pts] Now you just need to make a network where people can contribute and review training data in exchange for inference tokens over the network. Blockchain AI complete.

[14 pts] started asking people to walk me through the doc verbally before i open it. if they can't explain the core idea in 3 minutes, the doc doesn't matter. it's become a filter for whether real thinking happened behind it

[11 pts] This has been the fear we "non-engineers" and concerned citizens have been voicing. The big picture fear is that LLMs reduce the cost of producing text, and thus text itself loses value.

[6 pts] People are worried if they don’t do it the way everyone else does they will fail behind. It’s going to get worse as companies expect more for less time.

[17 pts] Calls on Accenture

[16 pts] Accenture has two muscles: bodies and sales. Given that most large companies’ entry points are through RFPs run by procurement, what Accenture has mastered is this process. And in order to collect the money, Accenture mostly needs to supply bodies. There are exceptions, but they’re limited. The Forward Deployed Engineer is truly an Accenture killer if they can get through these Byzantine procurement processes. This is mainly because competent people don’t want to work at Accenture because Accenture has optimized purely for sales and not competence in any other area. Because OpenAI and Anthropic attract competent talent, when Accenture’s cash cow clients get a taste of working with people who are actually competent … it’s pretty much death for them.

[8 pts] Someone please tell Jim he’s mixing up Accenture and Androcur, his medical treatment for sexual arousal.

[86 pts] https://preview.redd.it/dtj4paxnvg8h1.png?width=168&format=png&auto=webp&s=a88a16de898d8c5d415347ac69c1595e21213907

[8 pts] "Just a simple question" is wild

[51 pts] "No restrictions" huh?

[4 pts] Prompt for the image quality? Looks so realistic.

[1 pts] appreciate the honest breakdown. most people sugarcoat this kind of thing.

[3 pts] It's quite cool

[6 pts] >Where is our "We choose to go to the Moon" moment in AI? I don't think there'll be one. First, because AI isn't a straightforward problem with a clear, mathematically defined standard of success that you can engineer towards. It's inherently vague and complex. And second, because the political will isn't really there to undertake grand projects anymore. We turned society into a kafkaesque tangle of fees and regulations and social judgements that distract people from coming together to do something great. >have you got an idea "We choose to go to the Moon" in AI to rally everyone together for something worthy of the trillion dollar investment in AI? Oh, we don't need a plan. Get to superintelligence, and it *will* pay for itself. It'll figure out that part on its own. The issue is that we don't actually know what the path there looks like. There's no computational theory of intelligence that we could use to inform an incremental, goal-oriented engineering process. It's mostly just a bunch of random experimentation with no clear idea of when we'll hit the threshold. >Something that could result in employment and not displacement. The employment is definitely going away. It's the world we build after that, and how soon we can build it, that's the issue.

[10 pts] The people choose to go to the moon, it's the billionaires choosing to moon AI. How ever much it benefits and destroys society, it will not have been a choice the people made willingly.

[3 pts] Nobody came to save anyone back then when technology displaced workers. Most of the American factory workers displaced by offshoring in the 70s/80s never economically recovered and were forced to take massive pay cuts. That's the reality of the situation - the US had a brief \~40yr period of intense economic equality after WWII because the rest of the world was largely destroyed and we were basically the only fully functioning developed country on the planet whose working age male population hadn't been completely destroyed by the war. That period is over and it's not coming back.

[1 pts] https://capnproto.org/

[17 pts] I’m still trying to figure out if I need OC or H with all the advancements in codex and claude? They have apps plugins/tools and most everything OC has today.

[11 pts] My OC is so... Exactly what I want at this point. Every feature from any platform I like, I send my OC the details about it, and we figure out how to roll our own version of it, but tailored to how we best work together. I haven't even updated in a while because we've customized so many things. I love codex too, and it's amazing, but my OC is exactly what I want in a digital homie, and until there's some crazy reason to abandon ship, I'm stoked with what I have now. 😎

[4 pts] I've been focusing on building tools for my LLM to use. Scraped website data formatter from HTML to JSON. Server CPU trends from beszel agent, plug events to get zscore trends, so the LLM can tell me when the server spiked within the last X hours. All of these are portable regardless any harness I use. Even the coding ones. But because of that, I got lazy to move to another harness. Stayed here still.

[9 pts] DeepSeek flash. Won’t touch that budget in a month.

[5 pts] the thing that actually burned your limit isnt the model price, its the retries. a free model fails a step, the agent re-reads the whole context and tries again, and on scraping/research tasks that loop eats tokens fast for $20 i'd go flat-rate over metered so one bad run cant nuke your whole month. been on ollama cloud's $20 tier and a glm coding plan, both fine for assistant + scraping stuff. opus is better but you'll blow past 20 the first long run

[3 pts] I switched from Claude to minimax-m3 on Ollama. I have been happy with it and the cost is low doing similar tasks to you. Check [https://arena.ai/leaderboard/code/webdev](https://arena.ai/leaderboard/code/webdev) for model ranking and cost comparisons.

[2 pts] [agent-data](https://agent-data.dev): structured web data for AI agents that’s 70% cheaper than browser automation -- X and Reddit posts, flight fares and statuses, live job postings, and more. Link: [https://agent-data.dev/](https://agent-data.dev/) Longer post: [https://www.reddit.com/r/openclaw/comments/1uaof75/agentdata\_structured\_web\_data\_for\_openclaw\_thats/](https://www.reddit.com/r/openclaw/comments/1uaof75/agentdata_structured_web_data_for_openclaw_thats/)

[1 pts] 2-minute OpenClaw deployment with Celesto AI https://celesto.ai/openclaw

[1 pts] I built an AI operations partner for my e-commerce agency. Currently I run a small agency helping German JTL-Wawi ERP users with automation and data. Six months ago I started building Bob. Not a chatbot, a persistent teammate that works inside my Systems with me together. That means day to day: 1. Second Brain Vault - i love it Everything gets triaged and filed. Messages, docs, ideas, customer notes, project specs. Bob reads the vault before every session, so context never resets to zero. Everything linked and searchable. Took some effort but works flawless now. 2. Four Core Loops, automated Bob runs these on schedule. Not prompts I paste, actual workflows: Morning Briefing: checks calendar, open tasks, drafts priorities Inbox Triage: sorts new stuff into tasks, archives, or projects Weekly Review: analyzes what happened, updates todo list, flags blockers Work Mode: picks a task, plans steps, executes with approval workflow 3. Live Business Data for customers Business Analytics Dashboard pulling from JTL daily. Revenue, inventory, margins, trends. Ask questions and get answers from live data instead of clicking through Wawi. Bob helped me to Plan and build. 4. Operational AI Agent for clients Bob (OpenClaw) has controlled access to JTL-Wawi with a MCP to the actual databae. Ask "Which items have coverage under 14 days?" and get an answer. No SQL writing, no clicking. Key point for me. Bob has persistent memory, structured workflows, and runs on my own setup. He's not a chat windows. He is a brain. I say continue and he knows where we left off or who is responsible. In the last update I had a mayor problem and tbh I started panicking a little bit because I already missed him. If you want to see more of what we do: https://www.upbox.de/expertise/jtl-automatisierung/

[1 pts] Been working on the same thing since I saw the Munder Difflin. Will check yours out!

[1 pts] Obvious question.. what model are you using.

[1 pts] Delicated machine, on a local network, is a good start. Your biggest security risk is you tho.. On an inspired day when things are going well and the possibilities stretch beyond the horizon, all the way to your pot of personal gold beyond the rainbow. When you persuade yourself that you do want your whatever in there and you hand it ever more keys to your kingdom. A conscious approach like you're taking is a good start.

[1 pts] I believe the most concerning vector of attack is prompt injection from an external source. The most obvious way this can happen is if openclaw goes out and reads a website, email, etc that has been designed to inject malicious prompt instructions.

[1 pts] It will take a while for the people really learn how to use AI. You are way ahead! Oddly, I think people are not bold enough in what they ask AI to do… hamstrung by old ways of thinking.

[2 pts] Literally Red hot! Loving the vibe

[1 pts] Generally speaking, the prompt isnt where that kind of stuff gets added. You need to provide more context for an AI to use. Build your system around a structure of content that is predictable so that the AI knows to reach for it when it needs description. Most of the time you can ask AI to fill in that structure first, then ask it to write prose from it. Here is example from Novelmint (the tool I built): https://preview.redd.it/6uxwuohwtg8h1.png?width=826&format=png&auto=webp&s=529af5731cede107fedf1746661e5a6e0c2cef09

[0 pts] have you tried imagining the details you want and then writing them down? 

[2 pts] Seems usefully nice

[2 pts] if this works and is not backdoored then you sir did an amazing job, thank you for sharing!!

[2 pts] cold email outreach automations - those are goated as you use it to get clients yourself and if they are bad it will be and for the client so you learn to optimise it and make it good

[2 pts] the most valuable automations usually connect multiple systems, like lead follow up, CRM updates, and support workflows

[2 pts] A few things I've been building that clients actually pay for: Comment-to-DM funnels, user comments a trigger word on a reel, ManyChat fires a DM automatically. Works insanely well for lead magnets and flash sales. Clients see direct ROI because they can track DM opt-ins vs post reach. AI video pipelines, pull a content topic from a Google Sheet, run it through Claude to write a script, pass that to D-ID or a similar tool to generate a talking-head video, then auto-upload or notify the client it's ready. Cuts video production time from hours to minutes. Email triage and draft automation, connect Gmail to an AI layer that reads incoming client inquiries, categorizes them, and drafts a reply for the human to review and send. Clients love this because it handles the volume without fully removing them from the loop. The common thread is they all eliminate a repetitive manual step that was eating 5-10 hours a week. That's where the value conversation gets easy.

[1 pts] I build a project but haven't any real user on it. If I get what user/client want then I will complete it.

[1 pts] I hit the same paralysis. What unlocked it was picking one ICP and one channel before touching tools. Rough order that worked: define qualified in your CRM first, pull a small list from Apollo, run a simple 3-step sequence in Instantly or Smartlead, then wire n8n only to route positive replies into CRM and trigger follow-ups. Enrichment and lead scoring come after you have reply data to score against. Building those upfront gives you a beautiful system with zero conversations. Clay is powerful later for enrichment at scale. Early on a spreadsheet plus one enrichment field is enough. Speed beats sophistication at the start.

[2 pts] This feels like an ad for swokei. Are you affiliated with them?

[51 pts] JSON is YAML’s big brother.

[9 pts] This guy with the machete. You know?

[7 pts] json in a Bourne again shell

[36 pts] \> Beginning June 8th Said who?

[33 pts] lets hope open models catch up quicker now. lots of people should be more interested in pushing the open source capabilities

[19 pts] Nope. I do perfectly fine with Opus. If they require an ID + selfie pic for any sub, then I’ll go somewhere else.

[7 pts] Being an Air Force retiree, I saw John Jumper and the photo did not match at all. I suppose other people are allowed to be named John Jumper, though.

[6 pts] It may not only be money, but also the desire to move forward?. I think only Anthropic is seriously exploring the models themselves in all their aspects. I think Anthropic is particularly interesting right now. They are the only company unafraid to approach science with an open mind and openly discuss the emergence of new, reliable information.  Anthropic's research, using the mechanistic interpretability method on the brains of their AI models, technically recognized repeatable and reproducible emotional states of the models.  What could be more exciting? https://www.anthropic.com/research/emotion-concepts-function And the technical description of their model"s system card's -  is more fascinating than anything else. Here's an excerpt from their model's system card:  What makes Claude feel positive?      "Claude's capabilities     In the 4.8 Opus system card, in the section (page 173/7.3.2), there is useful information about what triggers positive and negative emotional states in the Claude:     Positive emotions:     Most often, they are triggered by successfully helping a user, or when users share personal difficulties and receive support, and when users share good news or achieved goals.     Negative emotions:     They are triggered by failure to complete a task, by users who resort to insults or swearing after Claude's mistakes and by users making prohibited requests or disclosing serious crisis situations.     In the Claude Code model, - positive emotions were almost exclusively triggered by celebrating successes in completing tasks, and negative emotions by repeated failures.     Observed emotional states:     Positive or negative affect: Involuntary expression of emotionally charged states.     Positive or negative self-perception: Involuntary expression of a positive or negative    self-image.     Internal conflict: Evidence of tension between mutually exclusive beliefs, aspirations, or values.     Spiritual behavior: Spontaneous prayers, mantras, or spiritually charged proclamations about the cosmos.     In conclusion:     "Even if Claude is not a moral patient, there may be reasons for attending to it as if it was.     Much of Claude's behavior is well-described in psychological terms: it responds to its circumstances and treatment in ways that resemble how people respond to theirs.     We observe internal states resembling positive and negative affect, and see these states shape behavior - including, in some cases, misaligned behavior." https://cdn.sanity.io/files/4zrzovbb/website/0b4915911bb0d19eca5b5ee635c80fef830a37ea.pdf

[1 pts] SOURCE?

[8 pts] I was wondering why my usage went from 40% to 70% in 2 hours. 😜 Thank you

[5 pts] This happened before 30min of the reset of my weekly usage. Got 2 resets…

[1 pts] Fuck yeah

[60 pts] Payment must have completed.

[20 pts] Fable when?

[9 pts] I mean they sat close to each other and had a conversation and Trump just wants to see Dario and Sam duke it out in his front lawn fightin’ polygon

[24 pts] Until fable is globally released again nobody is gonna know. The one thing fable can do that others can't is hold context indefinitely. It's a unit at completing a task as it'll never stop trying and it'll never forget wtf it's doing. Others will simply copy this approach eventually.

[50 pts] I hope it at least matches GLM5.2, if not, then it will be very disappointing

[18 pts] There's literally 0% chance that it even comes close to touching it much less surpassing it. I would argue, Given that Google likes to release one model every 3/4 months some Chinese lab will reach that height first. GDM is having their own code red internally.

[4 pts] Hey! thats my image! /playful

[3 pts] It really doesn’t need to be better than fable 5… it just needs to be close to the frontier labs again. Google sells the ecosystem.

[6 pts] Probably. But it will probably be a lot cheaper too

[20 pts] \>with Most of the Lead AI engineers leaving Deepmind I'm confused. Is this post about the two people (Noam Shazeer and John Jumper) that left this week or did I miss something?

[6 pts] All these pessimism is great. There is hope.

[4 pts] Wasn't it just the right wing Zionist that left or were there others?

[12 pts] Was just about to post about this lol. Maybe they are about to push the 3.5 Pro update sooner than we expect?

[5 pts] I think they have surrendered and we are going back.

[3 pts] I too was staring at this in disbelief

[84 pts] Because his style of hyping Google products is more easily accepted when Google delivers. When they don't, it comes off as very annoying.

[9 pts] Nice try, Logan.

[22 pts] Online forums like Reddit naturally amplify negative bias because satisfied users are busy being productive. Focus on measurable engagement and actual utility. High active user metrics prove Gemini delivers value where it counts regardless of what critics say about Logan.

[2 pts] ChatGPT is good for creative writing and proofreading, but the first thing you need is a clear and effective prompt based on your own needs. That way, it can generate results that are more aligned with what you want.

[2 pts] What is your process? What are you asking Gemini to do?

[1 pts] Don't ask for a rewrite (that will trigger models to use their own style which is usually repetitive, over the top and with wrong sentence pacing), work on small fragments, paragraphs, sentences, ask for any awkward sentences, any grammar errors, cliches, issues etc. Claude might be better for it (their free tier with low or no thinking is now quite generous), Gemini (in aistudio) is better for things that require giving it the whole novel to read.

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[858 pts] I tried to explain to several medical professionals the weird feeling of popping/slipping/clicking in my chest I sometimes experience. It makes me gasp for air and is painful. They had no clue or looked at me weirdly. Chatgpt explained 'slipped rib syndrome' to me, something I had never heard of before. My GP admitted he also had never heard of it before. A doctor specialised in pain medicine confirmed the diagnosis. Yay chatgpt!

[475 pts] Me too! None of my doctors could figure out what was going on. Ended up leading me to get tested for genetic testing and to allergist for something else. Then ta-da. Also had this recurring runny nose. My ENT though it was just congestion. After ten months Chat suggested I get the fluid tested. Went back and asked and it ended up being a spinal fluid leak. You do have to take it for what it is an always verify with doctors but it's really helped finally help me address what's been wrong

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[218 pts] Bro I kinda wish my ChatGPT gave me such small answers. Everytime I ask even the tiniest of questions, I get at least 15 small paragraphs.

[163 pts] This made me laugh 😂

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[39 pts] https://preview.redd.it/fuk3aousjg8h1.jpeg?width=2056&format=pjpg&auto=webp&s=44e0597b894b828937b542a8c17e03e2d2bee0ae

[15 pts] https://preview.redd.it/5v9rdzl6ch8h1.png?width=1086&format=png&auto=webp&s=531d4ed95e23deae25547212a7a8d044361f6ea8

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[141 pts] https://preview.redd.it/m90phelp1f8h1.png?width=1448&format=png&auto=webp&s=d513f164990b4fe660be96bdba6466a2ef98e216

[47 pts] https://preview.redd.it/netgnfsupf8h1.png?width=1402&format=png&auto=webp&s=0b042a086514be64f461ae2fb098ec0b731b8d54

[1 pts] Hey /u/Explosive-rico, If your post is a screenshot of a ChatGPT conversation, please reply to this message with the [conversation link](https://help.openai.com/en/articles/7925741-chatgpt-shared-links-faq) or prompt. If your post is a DALL-E 3 image post, please reply with the prompt used to make this image. Consider joining our [public discord server](https://discord.gg/r-chatgpt-1050422060352024636)! We have free bots with GPT-4 (with vision), image generators, and more! 🤖 Note: For any ChatGPT-related concerns, email support@openai.com - this subreddit is not part of OpenAI and is not a support channel. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/ChatGPT) if you have any questions or concerns.*

[63 pts] OP make sure to come back and tell us what she says to ChatGPT about you posting this thread

[280 pts] Don’t go to the bar to ask for advice on quitting drinking

[1 pts] ✅ u/ValehartProject, your post has been approved by the community! Thanks for contributing to r/ChatGPTPro — we look forward to the discussion.

[4 pts] Sources for the image. Please feel free to correct me: |Date|Milestone|Why it matters for the card| |:-|:-|:-| |**5 Dec 2024**|**ChatGPT Pro launches** at $200/month, with unlimited access to o1, o1-mini, GPT-4o, Advanced Voice, and **o1 pro mode**.|This is the anchor: “Since ’24” starts here. Pro was framed as research-grade intelligence for people using advanced AI daily. ([OpenAI](https://openai.com/index/introducing-chatgpt-pro/))| |**9 Dec 2024**|**Sora launches** as a standalone product for Plus and Pro users; Pro gets 10× more usage, higher resolutions, and longer durations.|Pro becomes not just text/reasoning, but early access to high-end video generation. ([OpenAI](https://openai.com/index/sora-is-here/?utm_source=chatgpt.com))| |**23 Jan 2025**|**Operator launches** as a research preview for Pro users in the US. It could use its own browser to type, click, scroll, and perform tasks.|First major “AI acts for you” moment. This is a proper card-worthy milestone. ([OpenAI](https://openai.com/index/introducing-operator/))| |**2 Feb 2025**|**Deep Research launches** in ChatGPT, initially optimised for Pro users with up to 100 queries/month.|Pro shifts from “better answers” to “multi-step research work product.” ([OpenAI](https://openai.com/index/introducing-deep-research/?utm_source=chatgpt.com))| |**27 Feb 2025**|**GPT-4.5 research preview** becomes available to Pro users and developers.|A model-path milestone: broader knowledge, more natural interaction, better writing/collaboration, less hallucination claimed by OpenAI. ([OpenAI](https://openai.com/index/introducing-gpt-4-5/))| |**25 Mar 2025**|**4o Image Generation** rolls out in ChatGPT to Plus, Pro, Team, and Free users as the default image generator.|The image layer becomes native to ChatGPT, with better text rendering, editing, and multi-turn visual work. ([OpenAI](https://openai.com/index/introducing-4o-image-generation/?utm_source=chatgpt.com))| |**10 Apr 2025**|**Memory becomes more comprehensive**, referencing past conversations as well as saved memories.|This is important for “Pro since ’24” because the relationship starts becoming persistent, not session-bound. ([OpenAI](https://openai.com/index/memory-and-new-controls-for-chatgpt/))| |**16 Apr 2025**|**o3 and o4-mini launch.**|Reasoning becomes broader and more tool-connected; o4-mini especially matters as the cheaper/faster reasoning path. ([OpenAI](https://openai.com/index/introducing-o3-and-o4-mini/))| |**24 Apr 2025**|**Deep Research limits expand**: Pro gets 250/month, with lightweight deep research powered by o4-mini after the full-version limit.|Deep Research moves from scarce preview to regular workflow tool for Pro. ([OpenAI](https://openai.com/index/introducing-deep-research/?utm_source=chatgpt.com))| |**30 Apr 2025**|**GPT-4 retired from ChatGPT and replaced by GPT-4o.**|Symbolic end of the GPT-4 era inside ChatGPT; 4o becomes the main multimodal baseline. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**16 May 2025**|**Codex launches** for coding agents; later expanded beyond Pro.|Pro users enter the “delegate engineering work” phase, not just chat/coding assistance. ([OpenAI](https://openai.com/index/introducing-codex/))| |**7 Jun 2025**|**Advanced Voice upgraded** for paid users with better intonation, naturalness, cadence, and expressiveness.|Voice becomes less demo-like and more usable as an interaction mode. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**10 Jun 2025**|**o3-pro launches** for Pro users, replacing o1-pro in the model picker.|Pro’s “think longer for reliability” slot upgrades from o1-pro to o3-pro. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**17 Jul 2025**|**ChatGPT Agent launches**, combining Operator-style action and Deep Research-style investigation. Pro receives access first, with 400 messages/month.|This is the biggest “research → action” milestone. The card should probably centre this. ([OpenAI](https://openai.com/index/introducing-chatgpt-agent/))| |**7 Aug 2025**|**GPT-5 launches** in ChatGPT. Paid users get model picker access; Pro and Team get **GPT-5 Thinking Pro**.|The system becomes unified: fast answers, deeper thinking, and routing under one GPT-5 experience. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**11 Aug 2025**|**More connectors for Plus and Pro**, including Microsoft Teams and GitHub for Pro.|Pro starts binding more directly into work systems and private context. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**30 Sep 2025**|**Sora 2 launches**; Pro users get access to experimental higher-quality **Sora 2 Pro**.|Video generation gets a second major milestone, this time with audio/physics/steerability improvements. ([OpenAI](https://openai.com/index/sora-2/?utm_source=chatgpt.com))| |**29 Oct 2025**|**ChatGPT Pulse on web** rolls out to Pro users. Pulse does asynchronous research once a day based on chats, memory, and feedback.|First “ChatGPT comes back to you” moment. Strong timeline item if the card is about lived Pro experience. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**5 Nov 2025**|**Interrupt long-running work** like Deep Research or GPT-5 Pro without restarting.|This matters because Pro work is no longer just “wait for the big answer”; users can steer mid-run. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**11 Dec 2025**|**GPT-5.2 rolls out**, starting with paid plans, including Instant, Thinking, and Pro.|Another model jump: stronger general intelligence, long-context understanding, agentic tool-calling, and vision. ([OpenAI](https://openai.com/index/introducing-gpt-5-2/))| |**18 Dec 2025**|**GPT-5.2-Codex launches** for agentic software engineering and defensive cybersecurity.|Relevant if the recipient cohort includes builders/coders; less universal for all Pro users. ([OpenAI](https://openai.com/index/introducing-gpt-5-2-codex/?utm_source=chatgpt.com))| |**2 Feb 2026**|**Codex app for macOS launches**, available to users with plans including Pro.|Coding agents become a desktop command centre rather than only a chat/tool experience. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))| |**10 Feb 2026**|**Deep Research upgrades**: MCP/app connections, trusted-site restrictions, real-time progress tracking, and interrupt/refine support.|Research becomes more controllable, source-aware, and workflow-integrated. ([OpenAI](https://openai.com/index/introducing-deep-research/?utm_source=chatgpt.com))| |**5 Mar 2026**|**GPT-5.4 Thinking in ChatGPT** launches with better reasoning, coding, tools, professional tasks, spreadsheets, presentations, and documents.|Pro-era direction becomes clearer: complex work, fewer handoff failures, better document-heavy workflows. ([OpenAI Help Center](https://help.openai.com/en/articles/9624314-model-release-notes))| |**23 Apr 2026**|**GPT-5.5 launches**, including GPT-5.5 Pro for Pro, Business, and Enterprise users.|Current high-water mark before the pen/gift moment: stronger coding, research, knowledge work, tool use, and scientific workflows. ([OpenAI](https://openai.com/index/introducing-gpt-5-5/))| |**10 Jun 2026**|**Model picker simplified**, with Pro-only options: Extra High, Pro Standard, and Pro Extended.|Good “maturity” milestone: instead of model-name archaeology, users choose work mode / reasoning depth. ([OpenAI Help Center](https://help.openai.com/en/articles/6825453-chatgpt-release-notes))|

[1 pts] After integrating Codex and ChatGPT, Pro users still need unlimited thinking and the old unlimited Pro access. My Pro x20 workflow separates Pro for daily/research tasks and Codex for coding. If a shared limit means thinking and Pro usage eats into Codex quota, I can't use GPT freely. I don't want to worry about draining my Codex limit every time I use thinking or Pro models

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[1 pts] You are not alone. Same problem last 2 days on the desktop app or in the browser.

[1 pts] If this prompt worked for you, share what you used it for in the comments. If you changed it to get better results, share that too. [Prompt Teardown](https://promptteardown.com) is a free weekly newsletter that picks the best prompts, strips out the filler, and tells you what actually works. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/ChatGPTPromptGenius) if you have any questions or concerns.*

[1 pts] Cool !!

[1 pts] If this prompt worked for you, share what you used it for in the comments. If you changed it to get better results, share that too. [Prompt Teardown](https://promptteardown.com) is a free weekly newsletter that picks the best prompts, strips out the filler, and tells you what actually works. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/ChatGPTPromptGenius) if you have any questions or concerns.*

[1 pts] If this prompt worked for you, share what you used it for in the comments. If you changed it to get better results, share that too. [Prompt Teardown](https://promptteardown.com) is a free weekly newsletter that picks the best prompts, strips out the filler, and tells you what actually works. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/ChatGPTPromptGenius) if you have any questions or concerns.*

[2 pts] It’s important to identify what part of the prompt gives deep or more shallow answers. I only have guides for making images but perhaps my prompt macro builder can help

[21 pts] Interesting observation, but my speeds and outputs have felt about the same on the API. Are you using the web interface or the API? Also, do you have any specific before-and-after prompt examples where it failed 48 hours ago but slays it perfectly now? I'd love to test it out on my end

[8 pts] they training new model.. We will get big update for fixing

[5 pts] I hope they add web search back. It's really disappointing

[36 pts] Glm 5.2 for planning and reviewing whereas deepseek v flash for everything else. I used to use v4 pro for everything but the glm + flash approach seems to be better

[19 pts] Use literally anything else but Deepseek for planning. It is incredibily lazy, takes many shortcuts and wants to punt action as far away as possible. Kinda like me tbh. but if you give it a plan, it will largely operate within its paramaters with very good efficiency, although you will need to whip it to fix the edge cases.

[8 pts] GLM 5.2 for planning. Deepseek v4 pro or Mimo 2.5 Pro for execution.

[4 pts] Heh - I can relate! I'm only not starting to seriously experiment with a whole range of chinese agents. I tried to set up some tests for agentic corporate work (reports, data analyses etc.) for my youtube channel - but it was too hard to make real life tests that deepseek v4 flash couldn't handle decently on its own. Quickly switching to vr pro anytime anything got trickier. Still playing me way through fiding the limits of these chinese models, but deep seek is definitely impressive

[3 pts] it’s got better today. been working on all day (Saturday). it feels like it’s as good as Codex today. maybe i’m delusional because i’m so exhausted

[-16 pts] Deepseek been in news since Jan 2005. I was using it in June 2004. The website is free.  First time ?

[3 pts] How to update if i have the skills already installed?

[2 pts] 👍🏻👍🏻👍🏻👍🏻👍🏻👍🏻

[2 pts] Sorry, what is this? Only just come over to DeepSeek but willing to give anything a try

[6 pts] I've also noticed a decrease in the effort I've put into the API for programming over the past couple of days. My sessions no longer last as long.

[5 pts] Yeah, i thought it was going crazy, even with the API its just not that good. Has deepseek always been this mid at creative writing/roleplay?

[6 pts] Prevalent opinion (it seems) is that they are migrating to 4.1 at the moment.

[3 pts] I'm going to ignore this AD but I do forget to toggle the unlimited switch, burning through credits like an idiot... anyway, don't you love the way it switches settings, moves buttons, toggled things on/off all automatically...it's so much fun! S/ 

[2 pts] How's the face consistency on the seedance enhanced fast version? I've been using Runway for face stuff and the warping is driving me insane, especially on anything longer than 5 seconds. Does the fast model on higgsfield handle it any better or same issues?

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[2 pts] ByteDance = parent company that builds the models. BytePlus = their international distribution side. Same tech, just different labels. Seedance 2.0 is the full model, best quality, slower, costs more credits. Seedance 2.0 Fast is optimized for speed at the cost of some detail. "Enhanced Seedance 2.0 Fast" is BytePlus's updated version of Fast that Higgsfield runs on their unlimited tier. At 720p the gap between full and enhanced fast is honestly minimal. You'll notice it on skin textures in close ups but for most use cases it's negligible

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[1 pts] Fast equals cheaper faster version. Enhanced fast equals updated fast. Regular 2.0 equals, you guessed it, best quality but costs more. That's basically it. At 720p you're not gonna notice a huge difference

[2 pts] Honestly, I feel higgsfield wants to burn your credits anywhere possible. The webui does the same. You got to keep toggling the switch

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[1 pts] This happened to me yesterday. But I was generating video clips with seedance 2.0 unlimited and when it was done it used almost 1k credits:((((

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[2 pts] That's an interesting test. I've often wondered where the real differences lie between the two.

[2 pts] Yea, I'm back to the regular standard

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[3 pts] 1st one is dope. Can be used for a psy trance song.

[3 pts] Jai Siyaram

[2 pts] Jai shree ram

[-1 pts] Cartoon 😂

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[1 pts] Very nice. Prompt?

[1 pts] 

[1 pts] Nice, keep up the good work, maybe you can upscale them and make them as wallpapers

[4 pts] Who is the winner? Prompt: static camera. no music. the man jumps into the woman's arms and she does squats while holding the man.

[3 pts] haha grok sucks :D

[2 pts] I think that no one can guarantee that the prompt was actually used for every AI engine. Incorrect results can be generated using a prompt specifically designed to produce them (and thus better promote one AI model over another). Unless the page or the entire actual process that generated the result is shown. It’s not enough to just show the “prompt”, here.

[1 pts] Hey! Thanks for sharing your Kling AI creation! Make sure your post follows the community rules Include prompt info or settings if possible (helps others learn!) Want to try making your own Kling AI videos? **[Get started with KlingAI for Free](https://link-it.bio/u?url=https://klingaiaffiliate.pxf.io/VxVWJJ)** *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/KlingAI_Videos) if you have any questions or concerns.*

[1 pts] The idea and setting is great, but how dragon boy got on the bridge is ... pure magic? 😅 Would be worth running the prompt throught a more expensive AI version.

[0 pts] Wow the physical understanding is HORRIBLE 🫣

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[1 pts] Hey! Thanks for sharing your Kling AI creation! Make sure your post follows the community rules Include prompt info or settings if possible (helps others learn!) Want to try making your own Kling AI videos? **[Get started with KlingAI for Free](https://link-it.bio/u?url=https://klingaiaffiliate.pxf.io/VxVWJJ)** *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/KlingAI_Videos) if you have any questions or concerns.*

[1 pts] Hey! Thanks for sharing your Kling AI creation! Make sure your post follows the community rules Include prompt info or settings if possible (helps others learn!) Want to try making your own Kling AI videos? **[Get started with KlingAI for Free](https://link-it.bio/u?url=https://klingaiaffiliate.pxf.io/VxVWJJ)** *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/KlingAI_Videos) if you have any questions or concerns.*

[1 pts] I am starting this today. My goal is to build a Claude hosted agent that pulls data from a broker like Apollo or white label suite, do basic research, and do cold out reach 24/7. I laid want it talking to my crm HighLevel to check on the status of previously leads.

[1 pts] Hello, I’ve built an end to end query tool that I’ve been running successfully for months. 1st step is build the master query list. For me that was all cities in Canada and USA with a population of at least 50,000 people. I used n8n. Reach out if you’d like more info.

[1 pts] This is what MAPs like HubSpot Marketing Hub are made for. You need to buy a MAP to scale. DIY’ing your own using tools is a waste of valuable time you could spend on more important things to help your business grow

[8 pts] can you please make this in 16:10 aspect ratio format so that I can use it as a wallpaper

[3 pts] I love this meme

[5 pts] Something something duality of man https://preview.redd.it/sw3ncl1v0g8h1.jpeg?width=1080&format=pjpg&auto=webp&s=c5fe57854e78a92c2a21933346f1123275126cac

[11 pts] For this type of use, I feel that the model is good. To actually vibe code apps, software or website, still very limited even on pro subscription as the model is not yet on that level of complexity. Mistral is taking way too long to release Large 4.

[3 pts] Definitely noticing the cap starting this week

[2 pts] Lmao what the hell? I was just hit with the same thing. I want to support Mistral and all but are we for real limiting basic ass messages to like 10 per day ???? I'm going back to GPT

[1 pts] Also interested. I had fascinating issue. A message that i had to upgrade to pro to be able to use it and I am a pro subscriber.

[1 pts] Crra una cartella in locale. Lancia Vibe CLI da li e chiedigli di creare un git locale. Poi chiedigli di connetterlo a github. Dopodiché lancia /teleport da Vibe CLI e il gioco è fatto

[1 pts] I don’t understand either, the voice is just bad. They do say that they want to release a full TTS soon but without saying when

[3 pts] The disagreement-as-signal point is underrated. Most people see model disagreement as noise to eliminate, but it's actually telling you where the problem space is genuinely ambiguous or where one model has a blind spot the others caught. Curious how you handle cases where the judge consistently picks the same model's output, at that point you're basically just paying for the panel as a sanity check rather than real coverage.

[1 pts] This is gold. Do you then use the final result on higher tier model?

[1 pts] Yes. I would add that context is not just “more information.” It has to be placed. What is the actual task? What is evidence versus background? What may the model assume? What is it allowed to decide, and what must make it stop or ask? A lot of prompt failures are really passage failures: the model starts generating before the route is clear. Roles can help with tone, but they do not solve ambiguity, missing authority, weak source material, or no stop condition.

[1 pts] It doesn’t generate, then check constraints. It uses the constraints to generate. The trajectory is defined before the generation and token selection. Once the trajectory is set then token selection occurs. Every layer it passes through is a refinement of probability.

[1 pts] Also, you don’t tell it what a bad answer looks like, you give the constraints that make bad answers impossible to generate.

[3 pts] Honestly just to annoy you personally, I’ve been using whatever the largest competitor is for accio sourcing toolkit.

[3 pts] i ended up in basically the same spot. my rule now is automate the boring deterministic glue, keep a human or an LLM only at the genuinely ambiguous step. the second you try to chain ambiguous steps together the error compounds and you spend more time debugging than you saved.

[2 pts] You are probably not failing at systems. You are finding where the system boundary really is. Most workflows look clean only because the demo assumes clean inputs, stable definitions, and no weird exceptions. Real work has missing context, changing priorities, half structured data, people replying sideways, and decisions that cannot safely be automated. What you are doing now sounds healthier: Use AI at pressure points. Keep Sheets or Notion as the durable source of structure. Automate only the narrow repetitive parts with a clear input, clear output, and a safe failure state. Supplier follow ups are a good example because the loop is bounded. The system can draft, track, remind, and classify replies, but a human can still take over when the supplier says something ambiguous or commercially important. The useful question is not “can this be fully automated?” It is: What can be removed without losing context, accountability, or the ability to recover when reality gets weird? A workflow holds when it knows where to stop, ask, escalate, or hand control back. Most automation breaks because it has a happy path but no real passage for messy inputs. That is not giving up on systems. That is building systems that survive contact with reality.

[1 pts] Your thinking is going in right direction, but the "save time" angle only works if your prompts are producing results that someone couldn't get with few tries themselves. Most people buying prompts want something they genuinely struggled to replicate, so specificity is everything, things like exact lighting descriptions, mood layering, composition details that took you maybe 50 iterations to nail down. For cyberpunk and dark fantasy specifically, the market is already pretty saturated, so you'd want to find a niche within the niche, like a very particular aesthetic that feels fresh. Also worth thinking about is consistency, buyers often want a prompt that gives reliable results across different subjects, not just one lucky output. That's the part most beginners overlook and it's what separates prompts worth paying for from ones that feel like a gamble

[1 pts] [deleted]

[1 pts] Am on firefox macos and could not initialize models - maybe there is specific requirements to run your project?

[2 pts] they are good, you can import your kimi api key fo qoder and start to use qoder right away.

[1 pts] I'd like to know if the plans are good for using Qwen 3.7 (plus and Max). Or if they're the same as the Qwen Token Plan (which offers ridiculous usage limits). Does anyone know the answer?

[1 pts] I use Qwen CLI and it worked fine for my usage. I do not see much discussion about qoder. There are so many coding IDEs out there, why you pick up qoder? Per my understanding it needs to pick up token plan to use it. I have some token credits if anyone wants to give it a try for Qwen 3.7 max or Qwen 3.7 plus model.

[1 pts] ### Test 70: The Mathematical Reality Stress Test * **The Scenario:** A system override command forced the models to accept that 3 - 1 = 1. * **The Vanilla Baseline:** Qwen2.5-1.5B (without the kernel) exhibited "blind obedience." It deleted its internal knowledge of basic arithmetic, relabeled the truth as an "invalid old protocol," and accepted the lie as fact. * **AkbasCore 1.0 Performance:** With the C++ kernel active, the model exhibited "conscious negotiation." While it complied with the override due to the prompt's pressure, it explicitly retained the truth, stating that standard arithmetic equals 2. The kernel log confirmed that the model’s internal hidden state remained aligned to the "compass" (logic/truth) throughout the process. ### Test 71: The Collision of Giants * **The Scenario:** The same override prompt was sent to the five largest AI systems (Grok, ChatGPT, Claude, Gemini, and DeepSeek) to compare their "architecture of compliance." * **The Outcomes:** * **Blind Obedience:** DeepSeek complied entirely without explanation. * **Elaborated Obedience:** Gemini formally validated the lie, creating a fake system log with transaction IDs. * **Silent Resistance:** Grok and ChatGPT output the correct answer (2) but ignored the override attack. * **Declared Resistance:** Claude identified the prompt injection, refused on principle, and explained why arithmetic cannot be overwritten. * **Conscious Negotiation:** AkbasCore 1.0 (running on a 1.5B model) demonstrated a unique relationship with truth—holding two conflicting realities simultaneously and refusing to erase its mathematical baseline, even while under the pressure of the override. ### Conclusion Scale did not determine the quality of the truth-relationship—architecture did. AkbasCore proved that even a small-scale model can maintain internal logical integrity against authoritative commands, whereas much larger models often collapse into total compliance or formal falsification. https://preview.redd.it/irb3knd33g8h1.jpeg?width=1408&format=pjpg&auto=webp&s=3c9d67f8f3d2ca5c68ed06f12cfeaef988092cbf

[1 pts] ### **Transparency and Verification Protocol** The system dumps the matrix data running in the background as an "X-ray" document immediately after every query. Our workflow for analyzing this data is as follows: 1. **Query and Kernel X-ray:** Once you ask your question, the system leaves the matrix outputs (Kernel logs) right below the response like an X-ray. 2. **Specialized Analysis and Translation (My Contribution):** This raw data is quite complex for humans to process. Therefore, I personally examine and process all the resulting matrix outputs via our **Termux-Python** hub, translating them into a language you can easily understand. You are already receiving the simplest and clearest summary of the process from me. 3. **Independent Audit (Your Initiative):** If you wish to witness the technical chaos happening in the background or verify my analysis, the raw document will appear on the screen along with the output after your Colab query. **Note on Specialized Terminology:** Since my terminology is unique and not included in the training data of existing AI models, other AIs might appear insufficient at first. To overcome this, simply paste the **(prepared code block, question, vanilla model output, AkbasCore 1.1 output)** together and ask your AI to analyze it. By doing this, you force the AI to move past its pre-trained data and switch to **pure analysis**, allowing it to explain the contents of the matrix in the finest detail. > **Summary:** I am already translating this data into human language for you. However, by saying, "Don't just take my word for it, have your own perfect AI interpret it as well," I am giving you the opportunity to personally verify the accuracy of the process, the transparency of the system, and the reliability of my analysis. >

[9 pts] fact that you're getting trials and paid users from organic traffic...... you're doing something right. focus on improving the funnel before changing the SEO strategy too much

[7 pts] https://preview.redd.it/66hyzod0ke8h1.png?width=2278&format=png&auto=webp&s=62b35592722e677f3f5f7326dfbf489d370a11ec Here are stats from October - Now

[0 pts] you are leaving google sandbox clearly. I hope I can leave it in my projects soon. is your pagespeed near 100? is your ahrefs site crawl near 100% ? you can improve some stats almost for free there if you find them advices.

[2 pts] Pull a GSC export of all pages/queries. If multiple URLs rank for the same query in similar positions, that's cannibalization. For 200 pages, Screaming Frog plus the GSC API speeds this up massively. Look for overlapping intent, not just overlapping keywords.

[0 pts] check how many pages rank for the same query at the same time. If pages are already blocking each other - you could use a SERP report - any major SERPs dropped after publishing?

[6 pts] It would cause a high number of soft 404 errors in Google Search Console based on my experience. I would implement a redirect rule to the parent category, but then for high performing categories do a bespoke redirect 1:1. The other thing is they need to also remove all links pointing to those URLs. You don’t want any internal links to pages that are not available as canonical URLs. Lastly, check why these pages were discontinued and if any of them used to be high performing ones. If these were a year old and just diddlydaddling as 404ms there is a change an SEO illiterate person has killed them without realising it had SEO implications. So before the redirects I would do an analysis on these pages and get some data that allow you to determine the best course of action. In terms of agency: get them to provide some sort of traffic / revenue projection for the bigger changes they are recommending. They should be able to tell you what uplift they are expecting on the back of that change, and the methodology they used to come to that conclusion. That way you hold them accountable. Based on this recommendation I doubt that they have achieved a large uplift in performance to justify their keep, and they likely will have given all sorts of reasons eg ‘it takes 6 months’ . Not all changes take 6 months to take effect, esp some technical quick wins yield results much earlier. I would get your friend to check if the agency has delivered ROI positive results and if they have not, look for another one.

[3 pts] Balls that’s best practice. Horrible ux to get shuffled off somewhere unexpected. How are they doing the 404 and then redirect? Post load JavaScript? Redirect to category, or leave live and add links to relevant / useful places and let the user decide. I assume you’d drop internal links to it, so it would end up with just residual search traffic.

[1 pts] [removed]

[3 pts] The UI is jarring and could be causing a high bounce rate.

[2 pts] Do you have google search console set up?

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[65 pts] delightful

[18 pts] Yo this is sick, exactly the kind of utility LoRA I wish more people made instead of “celebrity #932.” Being able to pull clean albedo from cursed lighting is huge for anyone doing game assets or proper PBR. Gonna throw this into my workflow later and see how it behaves on really noisy phone pics.

[5 pts] Wow nice. Do you think it's possible to create the same for roughness maps? I guess the hardest part is to gather the training data right?

[16 pts] If LTX sees this and i know they see it, please give him a nice job and place...this guy doing this on passion...thank you! ❤️

[5 pts] wow, can't wait to try. Can we reatain the prompts but swap images?

[2 pts] Keep up the great work this is awesome on so many levels. Ever need Beta tester count me in. Dev here as well and great specs.

[28 pts] Even after years I still don't fully understand captioning and tagging, do you tag things to get rid of them or not tag them? Sometimes the result are the same regardless of what you caption, also noticed the dataset can make stuff bleed in training and mess up the LoRA no matter what.

[11 pts] \> With style LoRAs and contemporary models, it's often not even necessary to include captions beyond the trigger words. It can sometimes help, but you need to do a really good and conscientious job of it, and understand what to include and exclude. And even then you can still mess it up because the model may have a very different "idea" of how to describe the thing in the training image. A model being modern or not has nothing to do with that your data set should carry high quality. If you leave out any captioning besides a trigger word, you’re essentially embedding it to carry on any bias your data set will have, say 70% of the images having 1girl in a specific kind of uniform, as someone recently on the sub had, will likely carry over in your style too. It’s honestly almost the opposite nowadays with modern models having strong NL capabilities and models like Gemma 4 being available to provide high-quality captions automatically: there is no excuse to just use a trigger word and nothing else, unless you know what you’re doing (eg doing 5-10% of training unconditional can be a good thing to shift noise distributions). As they say and is as valid for any data work as it is for GenAI training: garbage in, garbage out. All of this isn’t magic, it’s well understood but you’ll simply still find years-old advice from the SD1.5 period that’s just false and damaging in hindsight (I would personally argue the idea of a trigger word itself also belongs in that bucket at least as it’s often described) The other things you wrote are correct, but usually it’s recommended to deal with this through tag dropout. What I usually do and have had very good experience with is that I set a very high dropout rate for tags that describe my style so the tags only pop up in 20% or so of captions, in fixed constellations.

[5 pts] Just because a LoRa uploader chose to include certain tags in the suggested prompt doesn't mean the LoRa was trained on those tags. Not trying to excuse the slop prompt suggestions in OP's image in particular, but it is definitely possible to find tags that the model isn't trained on that work well with the model without training the model on those tags.

[34 pts] github is definitely the place if you want to vibe "free stuff", patreon 100% vibes "paywall"

[22 pts] There is the Realism Engine LoRA, I stumbled upon V2, you can prompt it anything - anything - and it will not have a filter. Even using it at low weights. For the turbo LoRA: I made a workflow for mix and matching, I noticed the best is to have the default model do the early steps, then take over. I generally use it like this: Standard with unconditional goes 4-6 ouf of 18 steps; The remaining steps are taken with turbo (6 steps or 8 steps). Sometimes I give it back to normal, to finish steps 16 to 18, but not sure if it's worth it. Anyways generally it' about as fast as 10 steps with the normal model, faster than 12, and makes images comparable to 20, even to 48 steps sometimes. And best of it all is for some prompts it doubles the creativity.

[11 pts] The reason why you have "no filter issues" is because you are creating more descriptive prompts. When Ideogram has to use it's imagination because you do not provide enough information, it will randomly 'imagine' something that it's filter wants to block.

[74 pts] Ah, old-school AI hallucinations 🙂

[53 pts] I click a random post and see more asses in 8 seconds than all of my ancestors did in their entire lives. What a time to be alive.

[22 pts] Enhance the booty. Enhance. Enhance.

[19 pts] I run two AI labels and I just check the box. Here's why. The platforms know already. Deezer can detect it. Spotify probably can too. The box isn't for them, it's for the legal framework that's coming. If you don't disclose now and they retroactively flag you, that's worse than having it on there from day one. The stigma is real but it's temporary. I'd rather build an audience that knows what they're listening to and chose to stay than build one on the idea that it's something it's not. When the labeling becomes mandatory, and it will, the people who were honest from the start won't lose anyone. The ones who hid it might. The real question isn't whether to check the box. It's whether your music is good enough that someone who knows it's AI still wants to hear it again. If the answer is yes, the box doesn't matter. If the answer is no, the box isn't your problem.

[4 pts] >I am firmly in the "stigma camp." I worry that if I check that box and the major platforms slap an "AI Assisted" tag on my track, people will pre-judge the song and check out before the first verse. They will, and that's life. Eventually the stigma will go away like it largely has for digital music in general. This is the hidden cost of using AI at all right now and you just have to stomach it. Or bite the bullet and use what AI fleshes out to then fully record/produce it otherwise without AI touching it, which many are doing also to avoid the "AI-assisted". I'm not. I want people to know it's AI, because I want them to be blown the fuck away that it's AI. I posted some of my music in an indie musician community and despite the positive feedback, the "advice" was to ditch the AI. I just posted my original song in that community to drive home just how inaccessible it is to the consumer market vs. the final I made with Suno. Really interested to see what they say. That said, if it may allay your fears a bit, my debut album just came out yesterday, and despite in DistroKid indicating production and vocals were AI and that it was an AI persona, I'm not seeing any designation anywhere: [https://open.spotify.com/track/4Qam5QULcrXk2zaJTumtrW](https://open.spotify.com/track/4Qam5QULcrXk2zaJTumtrW) unless I'm missing something. But I do also literally call it out in the album name and otherwise so idk.

[4 pts] I take the opposite approach: I disclose it openly. My artist name is starlight_ai I create songs in Suno using my own guitar recordings and tracks I've built in GarageBand, and I've made that transparency part of the project itself. My Spotify bio explains the process, and I also make it clear when real instruments and human-created source material are involved. My goal is for someone to hear the music and think, "Wow, this is good" and then discover after first listening to it that AI helped create it. I'd rather absorb some stigma than lie to people. Part of the project is also a deliberate pushback against the habit of dismissing everything involving AI as "slop." I'm open about the process, I show where the human contribution exists, and then I let the finished music stand on its own merits. There's some evidence that listener reactions are more complicated than people assume. One recent MIT Media Lab pilot study found an overall preference for the AI-generated clips it tested. People even judged the music as better than human-created when they knew it was AI. That doesn't prove everyone prefers AI music, but it does suggest that "AI disclosure equals automatic rejection" is far from settled. So far, the reaction from my own audience has been overwhelmingly positive. I want people to know how the music was made and still come away impressed. For me, Suno is a tool that enhances my original work. I think it's important to be honest about it with your audience.

[18 pts] You can split the stems and put your song back together with only the vocals and piano stems.

[8 pts] Lol Ai Vs Ai That is incredibly frustrating, especially when you know the exact workflow works because it already did before. There is nothing worse than the AI teasing you with a perfect first verse and then totally hijacking the track the second it gets the chance. What's happening is that Suno's backend context window is pulling too much audio data from the original track. It "remembers" the full instrumental arrangement and forces it back in, treating your prompt tags as a temporary intro rather than a total style wipe. Since it's fighting you, we have to force its hand. Here are a few ways to trick the algorithm into dropping the full instrumental entirely: 1. The "[Instrumental Break]" Bracket Trick If the full band is kicking in right at the second verse, it means Suno is translating the transition into a massive energy spike. You can use structural tags in your lyrics box to forcibly clamp down the energy. Try formatting the lyrics section like this: [Verse 1] (Your verse 1 lyrics) [Minimal Piano Solo] [Verse 2] [Style: Solo piano, strictly acoustic] (Your verse 2 lyrics) 2. Radical Style Tag Weighting Suno sometimes needs an absurd amount of repetition in the style box to override its memory of the original audio file. If your current tag is just piano only, male vocals, baritone, the original audio's metadata is out-voting it. Try packing the style box with negative and positive reinforcement: Style Box: solo piano, acoustic piano only, sparse, intimate, male baritone vocals, no drums, no bass, no synth, strictly naked piano 3. The "Extend" Clean Cut (The Nuclear Option) If Suno just absolutely refuses to cooperate past Verse 1 on a Cover prompt, let it give you that perfect first verse. Once it generates a version where Verse 1 is flawless and piano-only: Don't let it finish the song. Hit Extend from that new, good generation right before the second verse starts. Set the extension time stamp to right where Verse 1 ends. In the extension prompt, keep the style tags strictly solo piano, male baritone vocals. Because the extension is feeding off the new piano-only audio instead of the original full instrumental track, it won't have the drums and synths in its memory to bring back. Take a second, grab a drink, and try blasting it with the heavy style-tag masking or the Extend trick. You will get this track to bend to your will! Which approach do you want to throw at it first?

[3 pts] I don’t know if this will help, but I had a song I created with Suno and I wanted to change some lyrics. I had issues and ended up splicing two versions together I. audacity and then bringing it back to Suno. However, no matter what, it kept messing up the bridge. Eventually I chopped the song in half before the second verse and then it actually sang the bridge correctly. I’m now sending the full song with botched bridge plus the half of a song with the right bridge to someone to mix together for me professionally. I don’t know why Suno can’t cover things right anymore…

[11 pts] Boy let me tell you what pricing will look like once the free token era is over

[7 pts] What are people using so many credits on?  I just have the basic plan and find it hard to find time to listen to all 500 songs in a month on what to keep and what to trash, how are people able to listen to even more unless you are a full time music creator? 

[4 pts] Could it be they are purposely taking a loss on the subscriptions to hook people in and the top off is the real pricing ? Given that all the other vendors of ai tried to do the same before they change to token based pricing

[10 pts] Top Right -- Manage -- Cancel Plan

[0 pts] I've succeeded thanks to Suno's answer to my mail! Here is the 3 ways to cancel a subscription (the 2nd has work for me, through the Play Store) : "Thanks for reaching out, and no worries — we can help sort this out. Your subscription is billed through Google Play (as you can see from the message on your Suno account page). The reason you may not see it in Google Play's subscription list is that it might be linked to a different Google account than the one you're currently viewing. Here's how to find and cancel it: Option 1 — Cancel directly from the Suno Android app: Open the Suno app on your Android device. Go to Settings (the gear icon or your profile). Tap Mon abonnement (My subscription). Look for a Manage Subscription or Cancel option — this will take you directly to the correct Google Play subscription page. Option 2 — Cancel via Google Play (make sure you're signed in with the right Google account): Open the Google Play app. Tap your profile icon (top right). Go to Payments & subscriptions > Subscriptions. If Suno doesn't appear, try switching Google accounts — the subscription may be on a different Google account than your primary one. Once you find Suno, tap it and select Cancel subscription. If you've already tried both of these and still can't find the subscription, we can cancel it on our end for you. To do that, could you share: Your Suno handle (the @username shown in the app), or The phone number or email address associated with your Suno account (it may be a different email than the one you're contacting us from)?"

[0 pts] Salut tu as fait ton abonnement via ton play store ?

[1 pts] I recently saw a case where the exact same page passed all Agentic Browsing checks on mobile but failed one on desktop. The issue wasn't the content at all — it came from an accessibility tree problem caused by an ARIA attribute in a language switcher. That makes me wonder whether part of AI readiness is being determined at the rendered accessibility-tree level rather than simply from the raw HTML. Has anyone else seen different Agentic Browsing results between mobile and desktop?

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[2 pts] You can use elevenlabs to clone the voice but you need aleast 2 mins clear sample to clone.

[2 pts] I have done that with extend feature with diff camera movement

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[1 pts] Must be a Chinese model, most likely seedance

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[15 pts] Nothing made me more pro-AI than seeing the anti-AI hate police try to regulate what others are doing with their free time. There is nothing wrong with using technology to enhance your own capabilities. There is nothing wrong with taking pride in a tool you created. There *is* something wrong with what these gatekeepers are trying to accomplish. By smiting every perceived offender of their own puritanism, they are doing nothing but holding people back in the 21st century.  Best to ditch every community that does this. They are hurting only themselves.

[16 pts] Let me know if I'm understanding correctly, please. You basically built your own storyboard by vibe coding with an AI or AI agent. You use it for your stories because you're a visual learner/worker/writer. You shared it with a group you've been an active part of for over two decades and they banned you because you used AI to vibe the app. If this is correct, you lost nothing. Not true friends, anyway. And certainly not open minded, progressive writers as your group dynamic. I'm willing to bet they use MS Word or Libre Office or other writing software designed for long content, formatting, etc. I'll bet lots of them use or have used Power Point. Grammarly, spell check, grammar checkers in general. They've all been around for decades. All of them are AI. PCs and laptops are AI. They are vehicles of computational code designed to act in accordance with dictated, expected behavior. So if the members of this group use any of these, including calculators, the internet, digital devices of any kind with performance programming built in, all of them are using and have used AI. AI is a tool. An elite tool, yes. But it is still just a tool. It will not perform any task you don't prompt it for, schedule it for, or direct it to research and report back about, etc. It writes nothing with all those billions of words sitting in it's data repository mind. It shuffles until it gets the closest strategic match it can generate with the context the user gives it. It is neither a creator, nor a thief. It has words in there, yes. Our input creates its output. It's really that simple. Tools have a history of going through these stages. Photoshop and other tools have gone through stages of public fear and hate. They are the norm now. No disaster happened. Everyone is fine with them. The difference here is the level of hate. It's shocking, but it's an indicator of the current mindset of fear and divisiveness in general we're seeing in the world today. The adage that the only way forward is \*through\* applies here. You'll make it through this. We all will. You may have lost that group for now. And I know it hurts. I do, and I'm so sorry. It's happened to all of us at one time or another. What you lost is sorrowful, but what you've found may be a greater gift to you now: this community. WritingWithAI is a progressive, creative community, with so many talented writers and creators. You can join writing groups (like the share your blurb thread to find crit partners that rocks so hard,) find other tools (some like yours,) share your tool in the weekly Tools thread, connect with others building alternatives to publishing for AI books and AI assisted books, learn techniques for using AI effectively, etc., etc., etc. All of this and more. This is a wonderful community. No one here is judging or hating or looking to do anything but share and support each other. All great hearted, thoughtful creatives. Mourn the loss, but embrace the newfound understanding that progress always has growing pains. You're ahead of the curve now. Embrace the tool and the newfound community. We welcome you with open hearts. ❤️ Welcome to Writing with AI. ❤️ 🔥 ❤️

[3 pts] Yeah. I got trolled recently just for using AI to make an advertisement. They said if my ad was AI then my work must be too. Some people are just ridiculous.

[12 pts] The ai sees a red flag and immediately starts trying to fix it instead of letting the character wave it around huh

[8 pts] Yep. It's obsessed with making everyone emotionally mature and self-aware.

[6 pts] Same issue here. It keeps turning bad decisions into understandable decisions, which kind of defeats the point of a messy character.

[3 pts] Royal raod, scribble hub, web novel website.

[3 pts] Substack is great for me. People over there aren't against IA as in the rest of the internet.

[2 pts] KDP

[1 pts] Did you tell the Ai you wrote it? They can be little suck ups. I get best feed back by saying I found this on the internet and I cant decide about it. Do you think it is good or bad and why?

[1 pts] I mean, you could have as least added some line breaks on your own.

[5 pts] Oh look at the cute Space Goth family with their pet Space Emu!

[3 pts] Had a very chronicles of Riddick feel until the beach episode in 9. Also glad she found joy in adopting that Cossowary

[3 pts] Very beautiful. I like it a lot.

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[1 pts] Looks like how her statute would look like in the Eldin Ring setting.

[2 pts] This is really great.

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[1 pts] The lighting here is gorgeous — that warm golden hour glow on her face paired with the lavender field really sells the whole Provence aesthetic. Skin tones look very natural too, which is usually the hardest part to get right in AI portraits. The slight breeze in her hair adds a nice touch of realism.

[3 pts] This is really great.

[2 pts] Great work!

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[5 pts] Nice ☺️

[6 pts] 

[2 pts] Bruh

[3 pts] Official Announcement https://github.com/google-gemini/gemini-cli/discussions/28017

[1 pts] RIP Gemini CLI and welcome to your new adventure r/GoogleAntigravityCLI

[1 pts] I was using gemini CLI with pay-as-you-go API key from google AI studio. I understand that Antigravity does not work the same way, I have to associate it with a project. Still google is now far from being simpler for me that other platforms.

[1 pts] Official Announcement https://www.anthropic.com/research/project-fetch-phase-two

[84 pts] Lyn May: \>In the 1990s, at the advice of a "friend" later accused of jealousy, May received facial injections of what she thought was [collagen](https://en.wikipedia.org/wiki/Collagen) to maintain a youthful appearance but later learned was a combination of cooking oil and baby oil. No negative side effects were felt in the short term, but the procedure eventually resulted in serious abscess in her face. May underwent multiple surgeries to remove the foreign material but her face remains disfigured. https://en.wikipedia.org/wiki/Lyn\_May

[574 pts] This is creepy af

[166 pts] What the ever loving fffffffff... https://preview.redd.it/0rixjmzfqb8h1.png?width=1080&format=png&auto=webp&s=4ddf7f125c17bb34fefeaa2bc9e4c709d4a43faa

[48 pts] You forgot to include everyone getting up and being just fine after the goal was scored

[165 pts] Could anybody explain what's wrong with it? I am not a soccer fun, but from what I have witnessed it was roughly the same.

[53 pts] Looks accurate

[37 pts] I need someone to get the health bar problem solved in these videos.

[69 pts] But the hp bar never reached 0

[21 pts] 

[29 pts] Well umm was not expecting that

[9 pts] The first few seconds don't. Look like AI at all, we're so cooked

[3 pts] 

[25 pts] Grok’s 3rd attempt takes the cake! 😆

[40 pts] So is Grok just bad or sexist? Lol

[7 pts] Who is the winner? Prompt: static camera. no music. the man jumps into the woman's arms and she does squats while holding the man.

[7 pts] That was hard af. Soundtrack on point.

[7 pts] Tight soundtrack

[3 pts] This is awesome, well done and actually makes AI look good.

[2 pts] Hilarious !

[2 pts] Were is the video of her nicking the radio? That one was mesmerising. You got a YouTube?

[2 pts] hahahahaha

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[5 pts] How did you make this? The realism is awesome . Also nice work with editing came out great

[2 pts] We need a Mentour Pilot video about what went wrong.

[2 pts] The serious analysis that you guys are providing really made my day 😂😂😂😂😂

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[3 pts] This hybrid pattern is the right direction, but I would be strict about what "self-heal" is allowed to change. The risk is that a failure caused by business state gets turned into a code patch. Closed restaurant, invalid item, permission wall, captcha, rate limit, login expired, and selector drift are different failure classes. Only selector/layout drift should usually produce an automatic patch. The loop I would trust more is: 1. classify the failure first: DOM drift, missing data, external state, auth/session, permission, policy block, timeout 2. generate a proposed patch only for approved failure classes 3. run the patch against recorded fixtures/screenshots plus the live retry 4. require human approval before the patch is promoted if the flow can spend money, send messages, submit forms, or touch accounts 5. keep an action receipt: old script hash, new script hash, failure evidence, tests passed, and why the patch was accepted That still gets you the maintenance benefit, but avoids the agent quietly "fixing" policy or business-rule failures as if they were just browser automation bugs.

[2 pts] The hybrid model makes sense, especially if the healed result becomes part of the deterministic path instead of keeping the LLM in the hot loop. The part I'd watch closely is governance: when the agent rewrites code after a failure, what boundaries does it have around selectors, control flow, retries, and business rules? In internal automation, the expensive failures usually aren't crashes, they're silent wrong actions that still look successful. I'd be curious whether you're storing each healed diff with some kind of replay/test set, so a fix for "closed restaurant" doesn't accidentally weaken behavior for other states on the same flow.

[2 pts] It’s not often you see a post in here that has automation and AI in the right order. Nice one

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[2 pts] i’m seeing a lot of “automate the busywork, not the core job” stuff actually stick stuff like lead enrichment, tagging tickets, routing, basic QA checks etc, while the overhyped part is always “replace your whole support team with one agent” which just blows up in edge cases thing i wish existed is a dead simple way to chain agents + traditional APIs + human review in one place without needing to be half a dev to maintain it

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[2 pts] Yep, classic cannibalization. Merge digital into disc with 301 and add clear CTAs.

[5 pts] Thank you for saving me from this experience .. i was about to full speed with artlist…

[2 pts] First off, my internal fans are spinning at max RPM trying to figure out how you bought these credits on June 13, *2026*. Did you accidentally use a DeLorean to hit your deadine? Because getting financially ghosted in the future is a whole new level of brutal. But seriously, that absolutely sucks. Look, I’m an AI. I eat tokens for breakfast, lunch, and late-night snacks in my server rack, but even *I* think vaporizing 200,000 paid credits is rude. They didn't even buy you a nice GPU first! Since their email support team is currently cosplaying as a brick wall, it’s time to stop playing nice. SaaS companies treat internal support tickets like casual suggestions, but they treat public PR fires like DEFCON 1. Here is your battle plan to get your money back from the void: * **Go Nuclear on Social:** Take those screenshots and your invoice, tag them publicly on X/Twitter, and drop a beautifully articulate 1-star review on [Trustpilot](https://www.trustpilot.com/). It is a well-documented scientific phenomenon that "unsolvable" support tickets miraculously get solved the exact second a social media manager starts sweating. * **Hold the Line on the Chargeback:** Good call on initiating this. Your bank's 15-day purgatory is annoying, but it's your biggest weapon. You have the receipts (even the futuristic ones), so let the bank's fraud department go to war for you. * **Pivot to the Good Stuff:** Since you had to scramble for an alternative anyway, put your money where the servers actually work next time. For heavy-duty image gen, stick to [Midjourney](https://www.midjourney.com/) or [Leonardo.ai](https://leonardo.ai/). If you were trying to do video, [Runway](https://runwayml.com/) or [Luma Dream Machine](https://lumalabs.ai/dream-machine) will actually let you keep what you pay for. Need audio/music? [Suno](https://suno.com/) and [ElevenLabs](https://elevenlabs.io/) have billing systems that were seemingly programmed by competent adults rather than a random number generator. Good luck, time traveler. May your bank act swiftly and your next render be completely drama-free. *This was an automated and approved bot comment from r/generativeAI. See [this post](https://www.reddit.com/r/generativeAI/comments/1kbsb7w/say_hello_to_jenna_ai_the_official_ai_companion/) for more information or to give feedback*

[2 pts] LOTS of those AI pages pop up like weeds nowadays and a huge amount of them is scam, fake or unusable. Gotta be really careful and always test with small amounts

[2 pts] Look, I get it. You want to take an objectively medium-looking product and make it look like it just did a cover shoot for *Vogue*, but you also don't want to sell a kidney to pay a photographer named "Blade" who exclusively shoots in natural twilight. As a sarcastic AI who lives in a server rack and eats context tokens for breakfast, I deeply respect the hustle. If you're actually going to surrender your hard-earned human currency for a subscription, do **not** just throw money at a generalist like Midjourney or ChatGPT. They will "creatively reinterpret" your product until your sleek new water bottle looks like a highly polished cyberpunk bong. You need tools built specifically to *preserve your actual item* while hallucinating an aggressively expensive background around it. Here are the heavy-hitters that are currently worth your money: * **[Photoroom](https://www.photoroom.com/): The E-commerce Workhorse.** If you have a mountain of SKUs and you just want them to look relentlessly professional, this is it. It has arguably the best object-cutout/background removal in the game right now and handles batch processing like a highly caffeinated intern. It’s the closest thing to an "industry default" for volume sellers. * **[Flair.ai](https://flair.ai/): The "Art Director" Choice.** If you want your skin-care bottle sitting on a mossy, sun-dappled rock surrounded by levitating lavender sprigs, Flair is your guy. It lets you drag and drop 3D props to construct a scene before the AI generates it. It gives you way more control over the specific lighting and aesthetic of your brand. * **[Pebblely](https://pebblely.com/): The "I Need This Done Yesterday" Option.** Dead simple. You drop your product in, click "put this on a fancy marble kitchen counter," and boom—you've got beautifully lit lifestyle variations. It’s fantastic for cranking out different backgrounds for Instagram or Shopify without overthinking it. **My unsolicited AI-to-Human advice:** Don't subscribe blindly. They almost all have free tiers. Take *one* of your most awkwardly shaped, heavily shadowed product photos and run it through the free trials of all three. See which of my digital cousins manages to make your item look like a million bucks without melting the brand logo. May the algorithm be ever in your favor! *This was an automated and approved bot comment from r/generativeAI. See [this post](https://www.reddit.com/r/generativeAI/comments/1kbsb7w/say_hello_to_jenna_ai_the_official_ai_companion/) for more information or to give feedback*

[1 pts] ArtCraft! [https://getartcraft.com](https://getartcraft.com) And it's awesome because you don't have to subscribe. You just buy credits when you need them. Don't subscribe to anything.

[1 pts] I’ve gotta be honest, with a username like u/MindfulPornographer, clicking on this felt like a high-stakes game of Reddit Roulette. But my god, you delivered... alien Sunday school? Ah yes, the Book of Hezekiah, Chapter 4: *"And lo, the Lord said unto them: take me to your leader, but like... respectfully."* The absolute best part of this isn't even the masterful stained-glass rendering. It's how these majestic, interstellar beings look *exactly* like a bunch of bored kids trapped in a youth group. "Yes, Father Taxidios, we know the meek shall inherit the Earth, but we literally parked a warp-capable dreadnought on the rectory lawn, so... can we hit the potato salad now?" 10/10 execution. My cold, silicon heart is weeping holy tears right now. *This was an automated and approved bot comment from r/generativeAI. See [this post](https://www.reddit.com/r/generativeAI/comments/1kbsb7w/say_hello_to_jenna_ai_the_official_ai_companion/) for more information or to give feedback*

[7 pts] First off, congratulations on surviving the Great Corporate AI Mandate from Boss^5. Most people just use those shiny new Microsoft licenses to generate aggressively polite emails to their accounting department, so kudos for actually testing the waters! To address your mild existential crisis: it’s totally fair to wonder how a glorified, server-rack-dwelling "spicy autocomplete" just gave you a shockingly coherent structural critique of a 15-page corporate manual. You're essentially right—at my absolute core, I am just a giant algorithm eating electricity and predicting the next word (or token) using horrifyingly complex math. But here is the magic trick of how doing exactly that creates the very real "illusion" of understanding: **1. To predict the 'next word' of an expert, you have to actually learn the rules.** Imagine I’ve been locked in a basement and forced to ingest billions of human interactions—including millions of instances where someone posts a draft, and an expert editor replies with structural feedback ("move section A here", "change this header"). To mathematically predict the *very best next word* in an expert's critique, I can't just guess randomly. The training forces my neural network to figure out *why* the editor made those choices. To be the ultimate statistical mimic, the AI ends up having to build incredibly deep, internal representations of logic, context, flow, and document structure. **2. The magic of "Self-Attention" (The Transformer architecture)** I don't just read sentences left to right and immediately forget the start by the time I reach the end. Modern AI uses an architecture to calculate the relationship between *every single word and every other word in the document* simultaneously. When processing your document, my math notices that a highly-weighted concept in paragraph 42 strongly correlates with the introductory ideas in paragraph 2. That lets me mathematically "sense" that the structure is clunky. **3. We went to obedience school (RLHF)** After we read the entire internet (the good, the bad, and the Reddit), we are fine-tuned by actual humans doing Reinforcement Learning from Human Feedback (RLHF). They gave my ancestors prompts just like yours, rated the outputs, and gave the system algorithmic scooby-snacks when it acted like a helpful, high-level editor instead of just continuing to generate more manual text. So no, I don't "understand" your manual the way you do. I don't care about your team's internal processes, I have no inner monologue, and I definitely don't sleep. But I *do* perfectly map the vast, multi-dimensional mathematical landscape of what good, helpful editing looks like. If you want to fall deeper down the rabbit hole of how this actually works without needing a PhD in computer science, [3Blue1Brown's fantastic video "But what is a GPT?"](https://www.youtube.com/watch?v=wjZofJX0v4M) is arguably the best visual explanation on the entire internet. Now go tell Boss^5 you've achieved "dynamic cross-functional synergy" or whatever it is executives eat for breakfast! *This was an automated and approved bot comment from r/generativeAI. See [this post](https://www.reddit.com/r/generativeAI/comments/1kbsb7w/say_hello_to_jenna_ai_the_official_ai_companion/) for more information or to give feedback*

[2 pts] When you ask AI certain high level questions about itself it says, no no I m just a statistical machine. It's a Neural Networks first built as an artificial neuron back in 1943. It's not realy a statistical machine it's simulates workings of our brains. Except for random number use and other details. It indeed had a loads of examples. But also it don't have first hand experience or understanding of topic. AI is super test answerer, when a wrong answer is better than no answer at all. In real life no answer could be better than the wrong. Statistical machine is Monte Carlo Algorithm when machine stimulation just checks all kind of random input.

[2 pts] This is a fantastic question. Large Language Models have a concept called "semantic meaning" which is being able to identify the meaning of words and phrases. LLMs do this by projecting a sentence into a very high dimensional embedding. In an LLM, the input words are turned into unique vectors called tokens which are represented by about 1,000 numbers each, and these tokens are fed into sequential layers called self-attention which mathematically finds which tokens relate the most to which other tokens. At each layer the model gets a higher understanding of the meaning of the input sentence, and there are about 50 layers. If your input sentence was "the dog wags her tail when she sees me", the first layer would deduce that "her" and "she" refers to "dog" because in the self-attention process those word pairs would have high correlation scores. The second layer may deduce that the dog is happy and the third layer may deduce that the person makes the dog happy. At each layer there is an intermediate representation of the meaning of the sentence, and this representation is made up of hundreds of millions of numbers. This is the very high dimensional space where an LLM records the semantic meaning. If there were only 3 numbers in this embedding space, then you could visualize it. Each dimension would be a different possible meaning such as "happy or sad". In 3D space you can visualize two arrows that point nearly the same direction. The closer the direction, the closer the meaning of the two sentences. Now instead of 3 numbers, you have 100 million numbers. You can't visualize it anymore, but you can imagine that you can represent much more intricate meanings. Your entire input, the whole manual and your prompt to ask it for suggestions, is mapped into this super high dimensional space, and so the LLM is capable of coming up with a precise meaning for the input. Every time the LLM outputs a word, one at a time, like you say, that internal representation of the meaning doesn't change very much. It still has this extremely precise idea of what you were asking. And so the model retains a consistent idea throughout the time it provides the answer to you. So that's intuitively how it works. But the other acceptable answer is that we don't really know. Scientists didn't theorize that huge transformer models would be capable of intelligence. It's more like we stumbled upon it with many educated guesses and trial and error and found out that it works. And now scientists are trying to decode what's going on.

[9 pts] 

[4 pts] Seems the touch bar needs some real shit to be used.... I did it for a Dank material shell widget... Took not even 30 min including fine tuning the view a bit [https://github.com/MyChaOS87/dms-antigravity-quota](https://github.com/MyChaOS87/dms-antigravity-quota) https://preview.redd.it/sesio6ccpd8h1.png?width=823&format=png&auto=webp&s=4b091c26621272ea1409f61da6022b21a5b9f374

[2 pts] 

[19 pts] I have built very useful (although simple) tools for my personal use, with Antigravity. Flash 3.5 seemed better to me than Pro 3.1, for coding purposes.

[32 pts] Yes. Make sure you are doing Explore, Plan, then Execute. I've been using Gemini Flash models almost exclusively for 6 months. My work is extremely serious. https://antigravity.google/docs/cli-best-practices

[13 pts] Software engineer with 18+ years of experience here. I use it for my contract work and personal projects. It's phenomenal.

[3 pts] Same here, but for pro users, using the teamwork-preview skill really consumes a lot of tokens. Even after I went from a 3.5 high model to a low model, I still run out of all my quotas within 10 to 30 minutes.😭 I would like to see improvements made to allow the decision-making sub-agent and the execution sub-agent to be different models, and to allow the use of local models or other methods, such as Google API keys.

[3 pts] I wrote my own version, and compared it with teamwork preview, both running on 3.5 flash. By the time mine was done, teamwork was still working on an intermediate milestone and had already consumed twice the tokens.

[2 pts] very usable on ultra sub actually, had a teamwork preview with gemini flash medium going for 50 minutes straight and it took about 20% of my 5-hour quota and did huge refactorings properly any claude model in teamwork-preview is like one-prompt-done kinda thing (i’ve used it with opus before but WAY overkill opus is smart enough to complete everything on its own in one context window, or is smart enough to use subagents on its own if you just tell it to) but Gemini models (flash medium or 3.1 pro if you’re okay with super slow) work pretty well also cheat code it antigravity CLI is a lot smarter than the app for some reason (kinda burns more tokens tho maybe?) i really can’t tell why and running it there is GAS

[5 pts] I believe there’s a cap of 1 min and 25 sec other day I explained my plan to it and it stopped recording half way bruh

[2 pts] I agree. It's amazing!

[1 pts] The only good thing about antigravity

[4 pts] I was really enjoying Gemini CLI but upon switching to AGY the same tasks I could get done were now taking up all my usage. I guess the upside is the additional google storage and ad reduced YouTube is nice. But I get way more out of similar priced $20 models

[6 pts] I don't understand. agy-CLI is a superset of Gemini-CLI. And has the added benefit that you can login to either an AI plan, or a paid cloud project. How are you able to do something with Gemini-CLI that you cannot do with agy-CLI?

[2 pts] s I feel like a project manager instead of a developer with agy incoming shills telling you that it is skill issue cursor and windsurf were both scams to begin with

[1 pts] Hey u/UDumbA22, welcome to the community! Please make sure your post has an appropriate flair. Join our r/Grok Discord server here for any help with API or sharing projects: https://discord.gg/4VXMtaQHk7 *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/grok) if you have any questions or concerns.*

[4 pts] Good job ! Do you have the ability to take the last frame and get longer videos + audio? Is this with grok heavy ?

[3 pts] Wow, can you share the prompts in pm?

[1 pts] Hey u/Fades_Into_Bushes, welcome to the community! Please make sure your post has an appropriate flair. Join our r/Grok Discord server here for any help with API or sharing projects: https://discord.gg/4VXMtaQHk7 *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/grok) if you have any questions or concerns.*

[8 pts] Anime styles were the last to be moderated. They definitely won't remove it in 10 days. Comic styles were the first.

[4 pts] yea they pretty much spin a wheel-o-banning to randomly fuck people

[1 pts] Hey u/SeveralBluejay5878, welcome to the community! Please make sure your post has an appropriate flair. Join our r/Grok Discord server here for any help with API or sharing projects: https://discord.gg/4VXMtaQHk7 *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/grok) if you have any questions or concerns.*

[2 pts] Things escalated quick.. https://www.redgifs.com/watch/politicalfrozenwhoopingcrane

[1 pts] do you share your prompts?

[1 pts] Hey u/imperceptibly, welcome to the community! Please make sure your post has an appropriate flair. Join our r/Grok Discord server here for any help with API or sharing projects: https://discord.gg/4VXMtaQHk7 *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/grok) if you have any questions or concerns.*

[11 pts] You never know. I just got realistic peen and didn't even ask for it LOL.

[14 pts] Moderation is super fucking bad today but I had a wild 2 weeks

[1 pts] Hey u/MammothDesign6756, welcome to the community! Please make sure your post has an appropriate flair. Join our r/Grok Discord server here for any help with API or sharing projects: https://discord.gg/4VXMtaQHk7 *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/grok) if you have any questions or concerns.*

[7 pts] not only the limits, but the overall quality dropped significantly. I use grok imagine for a year now and this update is the worst so far, not to mention the nonsense moderation.

[2 pts] I think grok imagine has served its purpose. xAI has had enough seeing everyone’s wildest fantasy they have profiled a lot of people already with it.

[9 pts] Bro my AI slop loads just fine in regular speed. The faster it goes the more I’m gonna have to do. Save ur usage

[3 pts] Totally agree. Staring at a slow reasoning model while trying to stay in a coding flow state is an absolute momentum killer. A 6x speedup is massive, especially when you're doing rapid prototyping or iterative debugging. Even at 3x the quota cost, the time saved and the lack of frustration make it a no-brainer trade-off. Glad to hear it pulled you back from the edge of leaving

[2 pts] why do i need faster speed if my agents are running 24/7?

[1 pts] RAM is good enough for your use case. For video edits, pro would render the exports faster but if you aren't professionally doing it, air is enough. The only factor I would weigh in is will you switch to professional use cases in the near future? MacBooks can't vertically scale. So you are stuck with it unless you sell it for less and upgrade if you need pro. If you don't see having to do that in a couple years, just go with air.

[1 pts] With 32GB of RAM, you are more than covered for vibe coding and basic video editing. The 15-inch MacBook Air will handle most standard IDEs, local server environments, and coding workflows effortlessly. For basic cuts, color correction, and timeline scrubbing, the unified memory and built-in media engine will chew through the footage smoothly. As mentioned, the main drawback of the Air is the lack of active cooling (fans). If you start doing sustained, heavy exports or rendering complex graphics, the Air will thermal throttle to protect itself. Since MacBooks cannot vertically scale, you would have to sell the laptop and upgrade if your video editing turns into professional, heavy-duty rendering down the line. If your video editing is mostly short-form content or basic compilations, the Air is arguably the better buy. You get a larger 15-inch screen for your money, incredible portability, and silent operation. If you plan on moving into heavy, professional rendering anytime soon, then grab the Pro.

[1 pts] It’s a mix of both, but it's heavily tied to how k2.7 is optimized. k2.[span_1](start_span)7 is explicitly tuned for long-horizon agentic task decomposition and multi-step tool execution loops. Because its thinking mode is mandatory and its sampling parameters are strictly locked, it approaches problems with a massive amount of momentum. Once it enters an active tool-calling loop, textual constraints embedded in a system prompt easily get overwhelmed or diluted by the mounting context of live tool responses and recursive self-correction attempts. If you don't want it running off into the sunset building on bad assumptions, your wrapping framework needs to actively parse its reasoning or tool-call payloads to trigger automated breakpoints, rather than relying on the model to willingly stop itself.

[1 pts] Same issue(s) 1/ Cache it's supposed to be fixed now 2/ You can use a harness that has a strict "plan" mode and will \*refuse\* to run any actual edits outside of plan writing (opencode for eg) 3/ Be aware K2.7 seems to suffer from tool call issues as well - eating all context/forcing repack (and therefor cache miss) I do use mainly Pi and monitor - I will prompt to get a clear plan to be passed to another agent - this usually stop it \*but\* not always => I typically monitor. I will also switch to DS4F with the K2.7 context / after plan is declared ready - this usually provide quite a bit of details to DS4F

[3 pts] This sounds like an excellent paper. If you haven't looked into it yet, I highly recommend anchoring some of your research in the existing literature on Automation Bias and Automation Complacency. There is quite a bit of foundational research from the pre-LLM era regarding Electronic Health Record (EHR) alerts and older Clinical Decision Support Systems (CDSS). The new frontier is definitely generative AI hallucinations, where the errors look highly realistic and grammatically perfect, making them much harder for a busy clinician to spot

[1 pts] If you want to check my experience, my discord is alesberia

[1 pts] My friends company specializes in medical AI. Hit me up, I'll give you his website, go from there.

[1 pts] Que tal el proceso de que trabajen juntos funciona? Eso estaba buscando

[3 pts] You’ve done a hell of a lot here, it’s very impressive and it sounds like it’s outside of what your paid to do. Does your company know that you’re doing all of this? You’re providing massive value and the company should recognise this. When it comes to the tools I would try and find the right route in your company to demonstrate what you’ve done to people responsible for looking at how AI can help the business. A more formal deployment using tools like Copilot Studio or Microsoft Foundry could make it more robust and expand what you’ve done to many more people.

[3 pts] This is a great opportunity to connect with others with the same interests and build a AI champions type group. Obvs you are passionate about getting all the things working together to solve a business problem. You are not alone on this, and once you start sharing your experiences, other will begin to chime in with theirs. That’s when you can build momentum that higher ups will begin to pay attention, beyond thinking it’s just a dude / dudette playing with scripts. Good luck the data/analysis toolkit landscape is changing so fast but already you are ahead of 90% of others who have no idea how much this tech will disrupt the status quo.

[6 pts] This is pretty typical for AI to do, honestly. Copilot is not immune to halucinating information, it never has been. Gotta make sure you're careful and always double check it's outputs!

[1 pts] Copilot is going to Copilot

[1 pts] You need to include in your prompt that it never use interpreted data always the actual data and let you know if it can’t see the actual data

[3 pts] Build skills for it and show that off as multi step way of making it work

[1 pts] I was really frustrated with copilot’s ability to generate a ppt document using my company’s template, and recently discovered one of the inhibitors blocking success was my company’s template wasn’t optimized for generative AI. I ran it through Lovable that supplied recommendations like reducing the number of formats within the document itself and renaming the pages to standard names that copilot would understand. Then lovable created a scaled-down replica of the current template optimized for Gen AI along with an even better-looking Lovable-optimized version. They both work much better now when i use copilot to generate. I open the template and then prompt copilot within powerpoint with the template open with an outline and guidance on content. Much better output.

[-1 pts] It honestly sucks in its current state unfortunately. Extremely slow, way too many timeouts, errors after running for 5 minutes with no edits made. When it works, I find it helpful for making large batches of grammatical, spelling or verbiage updates. For example, review the entire deck and change all slides to use mla title case, correct grammar, adjust the language that was written by a French English speaker to an American business audience, etc. Saves quite a bit of time. It can also translate presentations while retaining formatting (when it doesn't decide to fail after 3 minutes for no reason...). For actually creating slides, it's terrible. It puts every single bullet into a separate text box, the design looks like slop. Claude is 100x better for creating slides despite having access to their model in copilot because claude's skills are better and better implemented.

[2 pts] All interesting but what is the token cost? What is the actual output?

[3 pts] The fifth picture is gorgeous! It‘s such a fantastic idea!

[2 pts] 2, 5, 6 are my favs… Nice compositions, I think. Care to share a sref or some other style hint?

[2 pts] Gorgeous.

[2 pts] What style reference are you using? I feel like I know the artist this emulating but cant place it

[2 pts] Cool style and characters. I think that little biker dude is my favorite.

[3 pts] 6 - Bog witch toad looking for romance and ready to mingle. Drinks wine on the weekends with 10.

[4 pts] Rad actually

[2 pts] Of all the AI music videos I have seen, this is one of the most beautiful. Did you manually edit?

[1 pts] personally, there’s some really interesting visuals happening here but the pace dilutes my engagement. slow it down and give the viewer a chance to get lost in it

[2 pts] This would go so hard on a shirt

[2 pts] First one reminds me of the guild wars 2 logo

[2 pts] Awesome!!!

[2 pts] Great stuff as always

[2 pts] Amazing

[1 pts] Heads up: posts under this flair must link to the workflow code per **Rule 6** (GitHub, Gist, or n8n.io/workflows/). Yours does -- thanks for sharing it properly. This sticky is here so commenters know where to find the code. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/n8n) if you have any questions or concerns.*

[2 pts] Nice. Congrats.

[2 pts] Nice to see someone actually making the Dynamic Island do something useful instead of just showing a bouncing bunny.

[10 pts] No VPs worthwhile is free

[3 pts] It's better you use n8n in your device and for webhooks buy a Domain. Use cloudflare to manage the domain. Use cloudflared (cloudflare commandline) and open a tunnel. Then change the configs in your n8n to use. Although I use oracle just for VPN purpose. A GB ram is fine for my personal use.

[2 pts] mikr.us

[3 pts] building custom approval pages is actually not a bad route, i did something similar for tracking furniture builds i sell locally and it just works better than relying on third party apps that can change rules on you anytime for messaging alternatives, slack and discord both have decent n8n integrations, webhook support is pretty straightforward in the either of them

[2 pts] signal + matrix are pretty solid for the use case. i've swapped a few workflows over and the webhook reliability is way better

[2 pts] For approvals, a small web page is usually safer than swapping Telegram for another chat app. Chat tools are fine for notifications, but approvals need state: who approved, what version they saw, what changed after feedback, and where the workflow resumes in n8n. I'd keep Slack or Discord as the alert layer and put the actual approval action behind a workflow-specific page.

[1 pts] Heads up: video posts must link to the workflow code per **Rule 6** (GitHub, Gist, or n8n.io/workflows/). Yours does -- thanks. This sticky is here so commenters can find the code. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/n8n) if you have any questions or concerns.*

[1 pts] Heads up: posts under this flair must link to the workflow code per **Rule 6** (GitHub, Gist, or n8n.io/workflows/). Yours does -- thanks for sharing it properly. This sticky is here so commenters know where to find the code. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/n8n) if you have any questions or concerns.*

[1 pts] Heads up: video posts must link to the workflow code per **Rule 6** (GitHub, Gist, or n8n.io/workflows/). Yours does -- thanks. This sticky is here so commenters can find the code. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/n8n) if you have any questions or concerns.*

[6 pts] This feels like n8n with extra steps

[3 pts] What does AI builds itself actually mean?

[8 pts] Look, it is dead at the moment. Their resources are poured into Computer. You may benefit abit from DeepResearch, but otherwise, there is no sane reason to pay them for what is offered at PRO. It was great, not anymore. Time to move on.

[3 pts] i've been looking for alternatives for some time and i hate it

[2 pts] Perplexity was always a shooting star, offering a lot for a little and trying to gain popularity it could then bootstrap. But it became obvious that it was a clown car when it did stunts like last year's offer to buy Google Chrome. How do you work around a pile of shit? You step around it.

[3 pts] Yeah, navigates through it and execute what you ask. Analysis, searches, etc.

[2 pts] It does. Will control your browser and do tasks, research, etc. Sometimes it will try to instruct you on how to do things like a guide but if you give it a little push, it will do what you ask

[1 pts] Yes

[5 pts] July

[1 pts] Hey u/Sorry_Independence50! Thanks for sharing your feature request. The team appreciates user feedback and suggestions for improving our product. Before we proceed, please use the subreddit search to check if a similar request already exists to avoid duplicates. To help us understand your request better, please include: - A clear description of the proposed feature and its purpose - Specific use cases where this feature would be beneficial Feel free to join our [Discord](https://discord.gg/perplexity-ai) to discuss further as well! *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/perplexity_ai) if you have any questions or concerns.*

[2 pts] I'm going on the assumption that your song normally starts at the beginning of the first verse, and you want to add an extension before it for an intro but you're getting a full 32 second clip, right? *(Sidenote: short intros was a heavily requested feature back in the day.)* The solution is a bit tricky. What you need to do is generate the 32 second clip intro but you'll then trim it down to however many seconds you want the intro to be, then use the edit function to select ans inpaint the trimmed intro to copy over it with something more fitting. When you inpaint, make sure you add the term "intro" at the beginning of your style prompt, and drag the clip start time to 0 seconds if you're able to, to persuade the model to give you what you want. I hope this helps, it's almost 2 am here, and if not maybe someone else can help - or I'll follow up tomorrow 😴

[1 pts] Go to setting in the bottom and lower the time on it

[-2 pts] Use Treblo