PROTEIN DESIGN COMPETITION ROUND 2 The long awaited results are here -- and they don’t disappoint! 📈 We doubled the number of proteins we tested in our lab from 200 to 400! 🧬 Out of those 400 proteins, 378 expressed (95% expression rate!) 🚀 Out of those 378 expressed

made a map that lets you discover wikipedia pages around the world 🗺️📌

🚨 Excited to announce the release of the DL4Proteins notebook series! 🌟 Learn AI for protein design with hands-on Colab tutorials inspired by the groundbreaking work of 2024 Chemistry Nobel Laureates David Baker, Demis Hassabis, & John Jumper. github.com/Graylab/DL4Pro…

🚀 Collaborative, AI-Ready datasets would revolutionize life sciences and catalyze progress. Government funding plays a critical role in making this a reality. 📖 Read our policy memo here: buff.ly/4hbH78p

Thrilled to share our latest publication in Nature: nature.com/articles/s4158…. This work reflects a fantastic collaboration—special thanks to David Baker and Timothy Jenkins. Hoping it sparks attention to this neglected health issue and drives solutions in the years ahead!

Just now: Arc Institute and NVIDIA release Evo 2, the largest AI model for biology. It is fully open-source. Evo 2 can predict which mutations in a gene are likely to be pathogenic, or even design entire eukaryotic genomes. We covered it in Asimov Press! Check it out 🔻

IBBIS is hiring for four key roles! Shape the future of our growing organization and our international biosecurity projects. Apply by April 13! ibbis.bio/about/careers/

🚨 New in Immunity ! EVE-Vax, an AI model that anticipates future viral evolution and designs antigens to proactively test vaccines + therapeutics—before variants even emerge. We envision this work will help make future-proofed vaccines and therapeutics. 👇 (1/7)

Gavi-funded vaccines have saved more than 18.8 million lives over the past 25 years. Here are 25 more facts and figures that celebrate Gavi's past achievements, and a look at what lies ahead.

Turns out that filtering out biohazard knowledge works well as a safeguard for open weight models, especially when combined with circuit breakers and latent adversarial training. It's also cheap (<1% of training FLOPs) and doesn't degrade off-target capabilities substantially!

So basically, the defintion of biodesign is the idea that like, there’s an unresolved tension between "bio" and "design" sides over whether it belongs more to the lineage of design theory where (design) experts like Paola Antonelli frame it as an aesthetic practice continuous

Excited to launch our 1st Antibody Developability AI competition today on Hugging Face ! Show off your model’s ability to predict developability of Abs - most common request we get from biopharmas! And win $60K in prizes😄 Excited to do more of these at Ginkgo Bioworks ! Link 👇

Latest genomic AI models report near-perfect prediction of pathogenic variants (e.g. AUROC>0.97 for Evo2). We ran extensive independent evals and found these figures are true, but very misleading. A breakdown of our new preprint: 🧵

1/ OPT OBSERVATORY I’ve spent the past year creating *the most in-depth public resource* on how the US retains international students after they graduate. Today, IFP is releasing never-before-seen data we obtained from ICE via FOIA. Check it out: optobservatory.org

Even before MMitchell recently raised this discussion, I've had conversation after conversation with students & new grads struggling with this exact dilemma. I want to help! Here's a live thread of AI-related opportunities for those looking to do good & make (enough) money: