Sean

- Drafted a blog post - Used an LLM to meticulously improve the argument over 4 hours. - Wow, feeling great, it’s so convincing! - Fun idea let’s ask it to argue the opposite. - LLM demolishes the entire argument and convinces me that the opposite is in fact true. - lol The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.

@chamath Perhaps revenue isn’t product-bound but distribution-bound for some of these companies.

Not a single meaningful company has yet to say that they are making at least 2x+ from all of this incremental money they are spending since even last Fall! When ROI?

@openclaw how many of those stars came from OpenClaw agents?

We just passed React on GitHub stars. 🦞 Let that sink in. A personal AI assistant built by a lobster-obsessed Austrian and an army of crustacean enthusiasts just outstarred the library that powers half the internet. We shipped 90+ changes today. They shipped a conference.

@karpathy Just-in-time apps

Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

@bcherny minor request - could you guys make the main CC loop not block cmds like /usage?

Excited to hear what you think! Pro & Max users have $50 in free credit to try it out, and it’s 50% off until Feb 16.

We just launched an experimental new fast mode for Opus 4.6. The team has been building with it for the last few weeks. It’s been a huge unlock for me personally, especially when going back and forth with Claude on a tricky problem.

There is unlimited demand for intelligence.

SpaceX has acquired xAI, forming one of the most ambitious, vertically integrated innovation engines on (and off) Earth → #xai-joins-spacex" target="_blank" rel="nofollow noopener">spacex.com/updates#xai-jo…

@nikitabier Can you add ask grok button to articles - would be great for quick summaries on mobile

Ladies and gentlemen: We’re giving $1 million to the top article posted on X. You have 2 weeks. It's time to write.

@VahidK @xai @OpenAI show don't tell

@levelsio Exploration and then exploitation

We actually do shotgun to sniper in life all the time In dating you go on dates with different people to find a match, then when you find them you double down In getting a job you apply to lots of companies, then when you get the job you focus on that Digital nomading essentially is it too, you try many places to live to find one or a few to settle for longer So people are focusing on a single business or project with zero traction and zero revenue and zero customers for many years is logically wrong in most cases

Claude code is turning engineers into event loops

Ability to co-design models and interfaces is a superpower

@liudotblog @_thomasip seems like the optimal algo will differ based on your objective. e.g. is it to maximize throughput? minimize avg latency? minimize time-to-first-teller? something else? I haven't studied it myself, but queueing theory supposedly helps you reason about these kinds of tradeoffs

@_thomasip My current working answer is that you may have to evict customers to a “slow person line” after a time limit if they’re taking too long, but idk 🤷

The bank line starvation problem: 1) You have an infinite line of customers and N bank tellers. 2) The next person in line goes to the next available teller. 3) Eventually all tellers will be stuck helping slow people, and the line slows to a crawl. How do we fix this?

@liudotblog everything is P0

to post-trainers: own your evals

Grok 4 release livestream on Wednesday at 8pm PT @xAI

xAI partners with @Polymarket to blend market predictions with X data and Grok’s analysis. Hardcore truth engine - see what shapes the world. This is just the start of our partnership with @Polymarket. More to come. 🚀

Grok now remembers your conversations. When you ask for recommendations or advice, you’ll get personalized responses.

This is it: The world’s smartest AI, Grok 3, now available for free (until our servers melt). Try Grok 3 now: x.com/i/grok X Premium+ and SuperGrok users will have increased access to Grok 3, in addition to early access to advanced features like Voice Mode

BREAKING: @xAI early version of Grok-3 (codename "chocolate") is now #1 in Arena! 🏆 Grok-3 is: - First-ever model to break 1400 score! - #1 across all categories, a milestone that keeps getting harder to achieve Huge congratulations to @xAI on this milestone! View thread 🧵 for more insights into Grok-3's performance after ~8K votes in the Arena.