Kru

A breakthrough in real-time video generation. As a research preview developed with @NVIDIA and shared at @NVIDIAGTC this week, we trained a new real-time video model running on Vera Rubin. HD videos generate instantly, with time-to-first-frame under 100ms. Unlocking an entirely new creative paradigm and bolstering the foundations of our General World Model, GWM-1. Real-time generation opens a fundamentally different design space for video models and world simulation. We're investing in co-designing our models alongside advances in hardware to keep pushing this frontier.

@runwayml @nvidia @NVIDIAGTC Need this, now!

@sama @boneGPT

@boneGPT We are not shutting it down, quite the opposite! I think you will love what the team is building.

imagine paying 6.5 BILLION DOLLARS to hire Jony Ive only to pivot away from hardware without launching a single product gotta know when to fold em but damn 6.5 BILLION

@elonmusk Very Optimustic!

Matter, Energy & Intelligence

Mo has a point but he’s missing the bigger picture. If agentic behaviour means executing actions from instructions, then what @garrytan shared is the future. Critiquing the blueprint during its infancy says more about the critic than the concept. The most valuable perspective on how to instruct an artificial entity doesn’t come from observers. It comes from those who’ve navigated human economic complexity across many roles, industries, and failure modes. @garrytan’s unfair advantage is @ycombinator, decades of pattern recognition across thousands of companies. But what makes it genuinely rare is his willingness to articulate how he thinks about those roles as institutions. That’s not trivial. That’s a gift. Respect those who’ve built something far greater than themselves.

Couple of years ago, I would have taken aspirin and gotten back to work. What is equivalent to aspirin for Claude? API Error: 529 {"type":"error","error":{"type":"overloaded_error","message":"Overloaded. @claudeai are you ok?

First time I opened the code, it actually looks good. Manually working until Claude is up! API Error: 500 {"type":"error","error":{"type":"api_error","message":"Internal server error"},"request_id": @claudeai

@varunram easy, find the outlet that celebrates artisan beers and then find the decent actual coffee shop in town.

I don’t know how they do it but all the Aussies in San Francisco know each other, need to investigate the Aussie mafia

@MattWallace888 @grok Thank God

What happened to Andrew Tate? @grok

@chhddavid Why give such power to masses? if you think it can really disrupt markets, may as well keep it to yourself and conquer

THIS IS INSANE!! some 22/yo kid disrupting the entire vibe coding industry.

@sama Autonomous weapon systems powered by GPT. Has OpenAI agreed to it?

I'd like to answer questions about our work with the DoW and our thinking over the past few days. Please AMA.

Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting started on what diffusion can do for language.

@karpathy Was Raspberry Pi considered? if yes, why did you lean towards Mac mini? Tooling?

Bought a new Mac mini to properly tinker with claws over the weekend. The apple store person told me they are selling like hotcakes and everyone is confused :) I'm definitely a bit sus'd to run OpenClaw specifically - giving my private data/keys to 400K lines of vibe coded monster that is being actively attacked at scale is not very appealing at all. Already seeing reports of exposed instances, RCE vulnerabilities, supply chain poisoning, malicious or compromised skills in the registry, it feels like a complete wild west and a security nightmare. But I do love the concept and I think that just like LLM agents were a new layer on top of LLMs, Claws are now a new layer on top of LLM agents, taking the orchestration, scheduling, context, tool calls and a kind of persistence to a next level. Looking around, and given that the high level idea is clear, there are a lot of smaller Claws starting to pop out. For example, on a quick skim NanoClaw looks really interesting in that the core engine is ~4000 lines of code (fits into both my head and that of AI agents, so it feels manageable, auditable, flexible, etc.) and runs everything in containers by default. I also love their approach to configurability - it's not done via config files it's done via skills! For example, /add-telegram instructs your AI agent how to modify the actual code to integrate Telegram. I haven't come across this yet and it slightly blew my mind earlier today as a new, AI-enabled approach to preventing config mess and if-then-else monsters. Basically - the implied new meta is to write the most maximally forkable repo and then have skills that fork it into any desired more exotic configuration. Very cool. Anyway there are many others - e.g. nanobot, zeroclaw, ironclaw, picoclaw (lol @ prefixes). There are also cloud-hosted alternatives but tbh I don't love these because it feels much harder to tinker with. In particular, local setup allows easy connection to home automation gadgets on the local network. And I don't know, there is something aesthetically pleasing about there being a physical device 'possessed' by a little ghost of a personal digital house elf. Not 100% sure what my setup ends up looking like just yet but Claws are an awesome, exciting new layer of the AI stack.

@tweetsbycolin @clerk Thanks Colin, excellent work by the team and once again thanks for the transparency.

@krutosh @clerk No, the particular query was written November 2024 It was the change in statistics over time (and the risk of that change) that we failed to monitor effectively

The postmortem for our incident yesterday has been published, including the root cause analysis and our planned remediations. We are deeply sorry for the disruption this incident caused to your team, your business, and your users. We understand that you depend on Clerk to be available, and we failed to meet that expectation yesterday, and too many times in recent months. This is unacceptable, and we will be bringing increased attention to proactively adding monitors, redundancies, and failovers to our overall system. While we've added many throughout the past year, recent events have made it clear that we are not moving fast enough. Thank you for your patience and continued partnership. clerk.com/blog/2026-02-1…

Everything is relatable to how we humans have always operated. Humans are non-deterministic actors too. The key difference is the fear of consequences that keeps them grounded, this usually comes from many aspects of our society like culture, religion, parenting as well as basic survival instincts. Agents has none of those things to ground them, and markdown files are too primitive to reinforce something fundamentally important.

Were building autonomous AI agents but cant measure their autonomy. 👉 thats the problem. We ship agents that make decisions we dont understand, then act surprised when they do unexpected things. The autonomy gap is too real, it's scary.

@omarsar0 heartbeat loop is the moat

There isn’t a single use case that I have seen done with OpenClaw that I can’t do with Claude Code. What am I missing? I don’t use Telegram for real work but is there anything else?

@theo They are fine with API key, makes total sense tbh

Kind of crazy watching Anthropic’s good will crumble in real time

Drop 13/14: The 30B and 105B models, benchmarks, and HF links will all come. But today it is a drop about people. About how our team of just 15 folks gave it their all to do what many doubted as not doable - ie train usefully large, globally competitive models from scratch in India. This team of 15 has now firmly launched @sarvam into its second innings. Yes, we can! @_mohit_singla @anand_404 @kediaharshit9 @AashaySachdeva @sumanthd17 @ArpitDwivedi100 @HarveenChadha @rkal4 @sushil_khyalia @ManavSinghal157 @sohampetkar missing in the pictuere - @selfawareatom @AnnaUpreti Anand @MeghMakwan33973 Utkarsh

@mignano from consumer to creators, I always trust the process of evolution. 😅

The evolution of entertainment: Books Radio Television Video games Social media YouTube Netflix TikTok Claude Code