mei

at a bare minimum, the scientists building opensource AI deserve their credit where it is due. scientists devote entire careers to advancing the frontier of knowledge. academic ethics exist for a reason. in school, if you forget to cite your sources, it's called plagiarism.

The next frontier in AI is science, the physical world. Biology will be the *most* impactful and consequential application of AI, from curing disease to biosecurity. We need AI labs pushing both the limits of biological design and the systems to defend against it. We’re building exactly this intelligence layer and scaling fast. Hiring across AI and biology. Come build at the frontier, let's talk. job-boards.greenhouse.io/radicalnumerics

We raised $165M at a $1.15B valuation to stop doing demos. 2026 is about 1) deployment and 2) research. We will start shipping Memo with our new frontier models in a few months. Our series-B is led by Coatue, with Thomas Laffont joining the board. ->🧵

@nscale we are climbing the kardashev scale! congrats to @nscale , and proud to have been an early investor over the years 🙏

Nscale has raised the largest Series C round in Europe at $2 billion, led by Aker ASA and 8090 Industries. This round values Nscale at $14.6 billion. This investment fuels our global expansion, accelerates regional capacity, expands our engineering and operations teams, and strengthens the platform layer, powering training and inference at scale. Today, we also welcome three new Directors to our board: Sheryl Sandberg, Susan Decker, and Nick Clegg. Each brings substantial global depth across technology, policy, operations, and governance to an already world-class collection of business leaders. Hear from our Founder & CEO Josh Payne on what’s next. Read the full press release here: nscale.com/press-releases…

congrats @nscale on $2billion series C 🚀proud to have been an early investor. compute is accelerating!

excited to support @MatXComputing, backed the team at seed! compute is accelerating 🚀

@reinerpope congrats, thrilled to support the team 🚀

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.

Congrats to @StefanoErmon and team @_inception_ai , thrilled to support u guys 🔥

@StefanoErmon Excited to support u guys 🚀

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.

feels like a pivotal moment for realtime

@si_pbc thrilled for u guys!! excited to support the team 🔥

Computer use models shouldn't learn from screenshots. We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.

Excited to support 🚀

@Yihe__Deng @WeiWang1973 @kaiwei_chang @baharanm @adityagrover_ Congrats on the defense 🔥🔥

Finished my PhD defense this week! Immensely grateful to my advisor @WeiWang1973 and committee @kaiwei_chang @baharanm @adityagrover_ for their guidance and support over these years 🙏

The real Silicon Valley perk in 2026 isn’t free food, 401k, or WLB. It’s unlimited coding plan (claude code, codex and cursor etc.) No approvals. No quotas. Just build. If that sounds like your kind of benefit, we’re hiring. radixark.ai/career

Super excited 🔥🔥

I think we've reached agi, and it seems to me it is largely correlated to autonomy and purpose. next step - singularity.

congrats @weberwongwong and team @floraai 🚀🎨

@gandhikanishk amazing work!!

(1/9) We built Endless Terminals: a fully autonomous pipeline that procedurally generates terminal tasks for RL training with no human annotation needed. Simple PPO + scaled environments give consistent improvements on downstream tasks like Terminal Bench 2.0!

@ericzelikman @gharik @YuchenHe07 @TheAndiPenguin @noahdgoodman so excited to support the team 🚀🚀🚀

finally announcing i’ve started humans& w/ amazing friends @gharik & @YuchenHe07 & @TheAndiPenguin & @noahdgoodman & many other world-class folks. we're optimists: it’s possible to rethink how we build ai, to empower people to accomplish more together tldr: love is all you need