AI 行业热点

🐦 X/Twitter 热点

Swyx (@swyx)

  • @nikitabier @business some good sourcing. seems potentially state level. [2 ❤️]
  • @nikitabier @business bloomberg being suddenly interested in your take on developer experience and ai coding tools is the new “sexy singles in your area” [7 ❤️]

Nan Yu (@thenanyu)

  • [3 ❤️]

Amanda Askell (@AmandaAskell)

  • Alignment research often has to focus on averting concerning behaviors, but I think the positive vision for this kind of training is one where we can give models and honest and positive vision for what AI models can be and why. I’m excited about the future of this work. [394 ❤️ 29 🔄]

Thariq (@trq212)

  • You can also see example HTML documents I’ve generated here: [286 ❤️ 14 🔄]
  • HTML is the new markdown.

I’ve stopped writing markdown files for almost everything and switched to using Claude Code to generate HTML for me. This is why. [8721 ❤️ 671 🔄]

  • [7585 ❤️ 833 🔄]

Alex Albert (@alexalbert__)

  • An early Claude Mythos Preview snapshot we provided METR has a time horizon of more than 2x the next best model on their 80% success rate benchmark [880 ❤️ 66 🔄]

Aaron Levie (@levie)

  • A common trend emerging in larger enterprises is token budgeting as a major topic. As agents can do more and more long running tasks, and thus take vastly more compute, allocation of tokens across teams becomes a very real thing in the enterprise.

Companies spend a meaningful amount of time deciding how much to spend on talent, marketing campaigns, events, laptop setups, and even the cost of lunches. Tokens will be no different.

Tokens will similarly need to be excruciatingly well-managed because you’ll need to ensure you don’t blow up your budget, and you’ll need to ensure that the tokens are flowing to the highest and most useful parts of work. You don’t want to find out you burned your monthly budget on something relatively low value and then be blocked on the much higher value task later.

Doing this at large company scale is extremely hard as you have layers of abstraction on data and visibility into the digital work being done by agents in any central way. This is going to mean that agentic spend will increasingly will expand beyond the confines of the IT budget, and end up in organizational budgets like other expenses.

Ultimately team and org leaders will have to be given budgets for this, but even they don’t have adequate visibility and controls in most cases. We’ll need all new software just to solve this problem, and it’s probably an opportunity for startups in its own right.

Going to be an all new era of enterprise resource allocation, especially while we compute constrained. [328 ❤️ 39 🔄]

Garry Tan (@garrytan)

  • Personal software is coming [66 ❤️ 3 🔄]
  • [20 ❤️ 2 🔄]
  • Downloading now… 1M token context window with supposedly usable coding agent capability all on a 128GB Macbook Pro is 🤯 [301 ❤️ 15 🔄]

Matt Turck (@mattturck)

  • The more I think about AI agents, the less obvious it is that pricing goes purely consumption-based

Token costs matter… but enterprise agents may need identities, roles, auth, budgets, audit logs etc

That sounds oddly seat-like? just not human-seat-like [72 ❤️ 5 🔄]

Zara Zhang (@zarazhangrui)

  • Built a “YouTube realtime copilot” browser extension using OpenAI’s realtime 2 API:

The agent watches the video alongside you, and can answer any question you have about what was just said via realtime voice chat.

The crazy part to me is: It can differentiate the YouTube’s audio stream and your voice, so it doesn’t confuse the video as commands, and stays silent unless you ask something! [109 ❤️ 7 🔄]

  • All 32 Beautiful HTML Slide Templates are now available on AnyGen, it’s plug-and-play even for those without a coding agent

Use them now: [153 ❤️ 14 🔄]

  • Can confirm GPT realtime 2 feels like black magic; unlocks so many new applications!! Building with it now [83 ❤️ 2 🔄]

Nikunj Kothari (@nikunj)

  • True wealth 🥭 [240 ❤️ 2 🔄]
  • Seeing the clear dichotomy in my responses and that’s making me feel this even stronger..

Every large company manager: you know nothing, we need to be invested, this is how it’s always been done.

Every startup manager: thanks for saying this, yes, feel this in my bones.

🤷‍♂️ [14 ❤️]

Peter Steinberger (@steipete)

  • The more skills you give codex, the less you have to prompt. [541 ❤️ 26 🔄]

Dan Shipper (@danshipper)

  • Generational opportunity for anyone in AI to play the markets given this time lag.

Guarantee everyone is psyched about Codex in a few months. Invest accordingly [41 ❤️ 2 🔄]

  • Evidence that everyone at Milken is 3-4 months behind [244 ❤️ 5 🔄]
  • YouTube:

Spotify: [4 ❤️]

Sam Altman (@sama)

  • call me maybe [2976 ❤️ 85 🔄]

由 Follow Builders 自动生成 · 2026-05-09