Cade Gordon

Excited to announce our new work! 🧬 Some highlights are: - sequences likelihoods predict zero-shot fitness capabilities - a new method to calculate pLM likelihood in O(1) instead of O(L) forward passes - providing a causal between training data and outputs - suggesting a new…

🎓🤖 We’re thrilled to welcome @CadeGordonML to the 2025 class of Hertz Fellows! Cade’s AI research is advancing biomedical discovery. A future PhD student at @Stanford, he joins a growing community shaping the future of #science and #tech! 🔗 bit.ly/4daXZLO

Introducing the next generation: Claude Opus 4 and Claude Sonnet 4. Claude Opus 4 is our most powerful model yet, and the world’s best coding model. Claude Sonnet 4 is a significant upgrade from its predecessor, delivering superior coding and reasoning.

Excited to share that I'll be joining @Anthropic to work on pretraining science! I've chosen to defer my Stanford PhD, where I'm honored to be supported by the Hertz Fellowship. There's something special about the science, this place, and these people. Looking forward to joining…

Many agents (Claude Code, Codex CLI) interact with the terminal to do valuable tasks, but do they currently work well enough to deploy en masse? We’re excited to introduce Terminal-Bench: An evaluation environment and benchmark for AI agents on real-world terminal tasks. Tl;dr…

👏 Meet the 2025 Hertz Fellows—19 rising leaders in science and tech advancing breakthroughs in robotics, energy, medicine & more. 🔗Learn more: bit.ly/2025HertzFello…

Documenting and sharing research in real-time is underrated in discussions about open science. @jainhiya_ and I think software can help change problem selection, collaboration, and funding. We write about how and why we should create real-time, open lab notebooks.

Chinese policy on clinical trial approvals liberalized massively in the mid 2010s. A decade later the effects of this move are perceptible in where our drugs come from.

Arrived in Singapore for ICLR—excited to see old & new friends! I’ll also be at the: - Thursday 3:30-5pm main conference poster session, presenting work led by @CadeGordonML on the subtleties of using protein LM likelihoods for fitness prediction (see 🔗👇) - GEM workshop…

A simple idea to build the @UCBerkeley startup alumni network has grown beyond my wildest dreams into #AccelScholars, a tight-knit community of the most ambitious, talented, kind-hearted people, whose individual stories we’ve been fortunate to support for the past eight years

the IGI wrote a bit about our (in progress) work on building statistical tools for genome mining and discovery! check it out below ⬇️ 🔍

🧪 Introducing POPPER: an AI agent that automates hypothesis validation by sequentially designing and executing falsification experiments with statistical rigor. 🔥POPPER matched PhD-level scientists on complex bio hypothesis validation - while reducing time by 10-fold! 🧵👇