We built an 8000 sqft. high-throughput wet-lab in 30 days, to solve molecular discovery - starting with pesticides.
Most teams in drug-discovery don’t receive target-organism verification until clinical trials. Pesticides allow us to rapidly validate our model in the target organism directly. With the help of our high-throughput lab, we were able to generate compounds that killed a $13 billion pest, the Fall Armyworm.
We believe that the bitter lesson is coming for biology.
1) Today we're announcing Atomwell, our state-of-the-art foundation model for predicting experimental outcomes, alongside scaling laws for molecular discovery.
We trained models from 800M to 9B parameters on ~80M experimental measurements, and found clean scaling laws in both
1) Today we're announcing Atomwell, our state-of-the-art foundation model for predicting experimental outcomes, alongside scaling laws for molecular discovery.
We trained models from 800M to 9B parameters on ~80M experimental measurements, and found clean scaling laws in both
I met an 18yo startup founder from India who dropped out of Caltech to build foundation models that synthesize better, safer pesticides.
Paul Graham himself tweeted about it.
Agency is the only moat. 99% of kids will never read a book and 1% are super-geniuses.
753 Followers 6K FollowingMTS @RadicalNumerics to study the natural world & alt realities 🔎🧬🔧 Ex-@StanfordAILab 🌲 Prog house + city pop, 3rd spaces, design / aesthetic, solarpunk 🌺
146K Followers 1K FollowingUniting caring with discovery to create medicines that make life better worldwide. Lilly’s official account (formerly LillyPad) https://t.co/oXewUD8FZI