Today we're announcing $75M to build Solcoa One, our 500-tonne rare earth metallization plant in Nevada. At Solcoa, we believe rare earths are the foundation of America's next great industrial era. An era we intend to win on the merits, with superior American technology.

introducing free reader. a mac app i made for myself. one simple, clean place to read without any distraction kinda if someone rebuilt kindle from scratch but with AI everywhere. inspired heavily by codex. all in native swift no subscription. all local. free. enjoy

I left @A24 to start Osmo, a storytelling studio with a software factory. Today, we’re launching @osmo_studio to the public: an end-to-end editable video platform that turns Figma, code and reference videos into fully editable motion. We also raised a $5M seed to build it.

Introducing 100% free DeepSeek V4 Flash 07/31, for everyone! Get 6 free hours of the new V4 Flash *per day*, in every country 🌏 Try it now: freebuff.com

Met one of my favorite creators today during the open source ai march! He approved of my sign. @bijanbowen

Hardware companies deserve better.

Today, a single Nvidia Jetson AGX can run a GPT-3.5-class local model at the edge ($2K, if you can buy one). But who cares when you’re a hobbyist with decent networking? Great video on how cool bots can be made for less than $100 piped.video/S67z2aekBrI?si=Cy7T…

Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff

It’s official!!! I’m gonna be a published author!! Words cannot describe how grateful I have felt these last few months, this is an absolute dream come true ❤️ Skeeter Pete 🐕🐶 is gonna steal your hearts (unless you’re a cat person 🤭)

Sometimes I literally wonder if I’m dreaming and will wake up. Yesterday was one of those times as I got to speak on the same stage as @DemisHassabis twice in one week 😅🤯 Thanks so much @YCombinator for hosting and thanks Demis for humouring my questions on the Femi Paradox for the second time!

Current YC batch is very good. I am now much more broke.

Introducing Freebuff: the free coding agent 100% free, up to 10x as fast as Claude Code npm install -g freebuff

Every 60 seconds, someone on Sorce gets an interview. Still only the beginning...

We’re announcing Kos-1 Lite, a medical model that achieves SOTA on HealthBench Hard at 46.6%. As a medium sized language model (~100B), it achieves these results at a fraction of the serving cost of frontier trillion-parameter models.

Someone asked what's the most underappreciated quality in startup founders. I realized I could answer this by asking what's the most underappreciated aspect of startups. That's easy: how hard they are. So the most underappreciated quality in founders is sheer toughness.

An AI chip startup founded by two Google alumni has raised more than $500 million in a new round to compete with Nvidia bloomberg.com/news/articles/…

We’re building an LLM chip that delivers much higher throughput than any other chip while also achieving the lowest latency. We call it the MatX One. The MatX One chip is based on a splittable systolic array, which has the energy and area efficiency that large systolic arrays are famous for, while also getting high utilization on smaller matrices with flexible shapes. The chip combines the low latency of SRAM-first designs with the long-context support of HBM. These elements, plus a fresh take on numerics, deliver higher throughput on LLMs than any announced system, while simultaneously matching the latency of SRAM-first designs. Higher throughput and lower latency give you smarter and faster models for your subscription dollar. We’ve raised a $500M Series B to wrap up development and quickly scale manufacturing, with tapeout in under a year. The round was led by Jane Street, one of the most tech-savvy Wall Street firms, and Situational Awareness LP, whose founder @leopoldasch wrote the definitive memo on AGI. Participants include @sparkcapital, @danielgross and @natfriedman’s fund, @patrickc and @collision, @TriatomicCap, @HarpoonVentures, @karpathy, @dwarkesh_sp, and others. We’re also welcoming investors across the supply chain, including Marvell and Alchip. @MikeGunter_ and I started MatX because we felt that the best chip for LLMs should be designed from first principles with a deep understanding of what LLMs need and how they will evolve. We are willing to give up on small-model performance, low-volume workloads, and even ease of programming to deliver on such a chip. We’re now a 100-person team with people who think about everything from learning rate schedules, to Swing Modulo Scheduling, to guard/round/sticky bits, to blind-mated connections—all in the same building. If you’d like to help us architect, design, and deploy many generations of chips in large volume, consider joining us.

17,000 tokens per second!! Read that again! LLM is hard-wired directly into silicon. no HBM, no liquid cooling, just raw specialized hardware. 10x faster and 20x cheaper than a B200. the "waiting for the LLM to think" era is dead. Code generates at the speed of human thought. Transition from brute-force GPU clusters to actual AI appliances. taalas.com/the-path-to-ubiqu…

Free the intelligence! LAUNCHED🚀