Brian has been a very very helpful partner to Voyage! He combines a strong grasp of AI research with the ability to anticipate operational challenges and connect us with the right people at the right time. I’ve always appreciated that he trusts founder-led decisions and provides

giving our humans (and robots) a break at skildsgiving ‘25

Reflection will be at NeurIPS San Diego next week. Say hello to the team at the Reflection booth and come along to our panel on open AI ecosystems. You’ll hear from: Ioannis Antonoglou (Reflection) Joseph Spisak (Meta, Llama & PyTorch) Nathan Lambert (AI2, ATOM Project)

Our goal at Reflection AI is to train the best open models in the world. People like Behrooz Behrooz Ghorbani help make that a reality. Having previously pioneered reasoning models at OpenAI, Behrooz will now lead science of scaling at Reflection. Come find us at Neurips.

Honored to be named to the Forbes 30 under 30 list. Grateful to the founders who took a bet on me early, the Striker team, and everyone who’s helped along the way. Still so much to build.

Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at ricursive.com

Excited to announce that Azalia Mirhoseini and I are launching Ricursive Intelligence, a frontier AI lab creating a recursive self-improving loop between AI and the hardware that fuels it. Today, chip design takes 2-3 years and requires thousands of human experts. We will reduce that to weeks.

Thrilled to share that Anna Goldie and I are launching Ricursive Intelligence, a frontier lab enabling recursive self-improvement through AIs that design their own chips. Our vision for transforming chip design began with AlphaChip, an AI for layout optimization used to design four

Come meet some of the Reflection research team and our founders Ioannis Antonoglou and Misha Laskin at our NeurIPS booth.

Congratulations Anna Goldie Azalia Mirhoseini Stephanie Zhan on your new company and thank you for partnering with Sequoia! I grew up in a semiconductor / EDA family, and it's been exhilarating to see Anna and Azalia tackle one of the hardest, gnarliest, most valuable problems at the

At NeurIPS, my amazing students and their collaborators are presenting their work on weak-to-strong verification, efficient reasoning systems, model "grafting", model based kernel design, and more. I'm also giving the following talks : Workshop on ML for Systems, Title:

Excited to co-host this lunch tomorrow! We’ll be diving into the newest developments in linear attention: GLA, DeltaNet, GDN, KDA—and how they’re shaping frontier models. Lots of interesting ties to test-time learning and a really exciting future ahead. Sign up link below

An update: I have left Meta Superintelligence Labs and joined Reflection AI in NYC!! Today is my first day. I started in the Fundamental AI Research (FAIR) lab at Meta, then Facebook, over six (!) years ago as my first job out of the PhD. They were some formative years. The

Startup growth still surprises me. This year alone Linear will do more revenue than all the previous years put together. When things work, they really work.

I need to find someone who looks at me the way NVIDIA looks at Stephanie Zhan's portcos

Tune in w me Sequoia Capital and Deepak Pathak Skild AI about building the leading frontier lab for physical world intelligence!

The conversation between Deepak Pathak and Stephanie Zhan at the Fortune conference is one of the clearest deep dives I’ve seen on the frontier of embodied AI, and on the underlying principles that have quietly enabled Skild’s approach to scale: - Robots as continuous, self-supervised