Danu

@karpathy @trq212 It’s interesting that agents are really bad writing a good formatted docx but they are really good at building html with descent ui. I guess it’s because the amount of good data used during the training. It’s important to know what agents are good at.

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral x.com/zan2434/status… There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

@trq212 Finally all my workflows running on Openclaw is now fully replaced just within Claude code ..

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

@bcherny @big_duca It sounds like Claude can’t replace the great engineers. But what happens to non great engineers, is it better to run the devs using Claude code? I am delegating many decisions and even I am getting recommendations from Claude code for feature improvements.

@big_duca Someone has to prompt the Claudes, talk to customers, coordinate with other teams, decide what to build next. Engineering is changing and great engineers are more important than ever.

The thing I don’t get is: Claude Code is writing 100% of Claude code now. But Anthropic has 100+ open dev positions on their jobs page. ?

@virattt Awesome! Using bun as the runtime and the cli interfaces does make it look like a CC! I want to understand a bit further. What’s the difference compared to a Claude code equipped with the same mcp tools and financial analysis skills?

I’ve been building Dexter for 2 months now. It’s like Claude Code, but for finance. What Dexter can do: • find undervalued stocks • analyze them in detail • build investment thesis All of the code is open source. Bonus: Dexter can also run on local LLMs.

@sama Definitely a life changing tech for me. I can chat with ChatGPT whole day to ask anything I am interested in. The most interesting part of this tech is besides of the model’s performance itself, the usability of the model can be defined by users. That level of freedom is amazing.

If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly deprecating old models that users depended on in their workflows was a mistake). This is something we’ve been closely tracking for the past year or so but still hasn’t gotten much mainstream attention (other than when we released an update to GPT-4o that was too sycophantic). (This is just my current thinking, and not yet an official OpenAI position.) People have used technology including AI in self-destructive ways; if a user is in a mentally fragile state and prone to delusion, we do not want the AI to reinforce that. Most users can keep a clear line between reality and fiction or role-play, but a small percentage cannot. We value user freedom as a core principle, but we also feel responsible in how we introduce new technology with new risks. Encouraging delusion in a user that is having trouble telling the difference between reality and fiction is an extreme case and it’s pretty clear what to do, but the concerns that worry me most are more subtle. There are going to be a lot of edge cases, and generally we plan to follow the principle of “treat adult users like adults”, which in some cases will include pushing back on users to ensure they are getting what they really want. A lot of people effectively use ChatGPT as a sort of therapist or life coach, even if they wouldn’t describe it that way. This can be really good! A lot of people are getting value from it already today. If people are getting good advice, leveling up toward their own goals, and their life satisfaction is increasing over years, we will be proud of making something genuinely helpful, even if they use and rely on ChatGPT a lot. If, on the other hand, users have a relationship with ChatGPT where they think they feel better after talking but they’re unknowingly nudged away from their longer term well-being (however they define it), that’s bad. It’s also bad, for example, if a user wants to use ChatGPT less and feels like they cannot. I can imagine a future where a lot of people really trust ChatGPT’s advice for their most important decisions. Although that could be great, it makes me uneasy. But I expect that it is coming to some degree, and soon billions of people may be talking to an AI in this way. So we (we as in society, but also we as in OpenAI) have to figure out how to make it a big net positive. There are several reasons I think we have a good shot at getting this right. We have much better tech to help us measure how we are doing than previous generations of technology had. For example, our product can talk to users to get a sense for how they are doing with their short- and long-term goals, we can explain sophisticated and nuanced issues to our models, and much more.

@elonmusk @ezdubs_bot english to Korean

Wise words from a true genius

@MKBHD At the user’s perspective, AI itself is not important. It’s like we don’t care about what kind of protocol and underlying hardware is being used between computers to communicate each other. What is important is what can be done for user’s convenience. I think apple really tackles

Google: "We use AI to surface a summarization of a webpage in Chrome" Apple: “Safari uses machine learning to automatically detect relavent information and highlight it for you as you browse”

@elonmusk Operation CWAL

Master Plan 3, the path to a fully sustainable energy future for Earth will be presented on March 1. The future is bright!

@elonmusk Twitter is far better in terms of productivity. Anger makes me work harder but I don’t want to do anything when I am depressed.

Instagram makes people depressed & Twitter makes people angry. Which is better?

@SnippetsLab No problem. Thanks!

@BL2qaMHiIcDrLk5 Thanks again, and that’s definitely not normal. I’ll investigate.

@SnippetsLab Searching through the Alfred Workflow is too slow. ibb.co/fdR0qyw - this search took 2.8 secs. ibb.co/JpbqMsS - this search took 10 secs! ibb.co/42gYFwC - I don't have much data for the query "stg". The in app search is fast.

@SnippetsLab Of course! I have 76 snippets in total. please let me know if I can help solving problems. Thank you.

@BL2qaMHiIcDrLk5 Thanks for letting me know—May I know how many snippets do you have in total?