Today, we're releasing the Carbon Annotation Database and the model behind it, Carbon-A. We've used this model to discover 566.34 million new gene candidates across 22,617 species, thousands of which have never been studied like this before. We wet-lab validated a number of these new genes in well-studied species, such as in cats, chicken, and arabidopsis (plant), with our partners at Active Site and @UCSD, with more extensive wet lab results on previously-unstudied genomes coming soon.

🚀 Excited to announce that we are teaming up with @os4science to fund the software stack behind open source science! 🚀 Open science models do not run without open source software, but they rarely get the funding or credit they deserve. We're trying to change that 🤗🤗🤗

🌱🌱🌱 a HUGE step towards designing to food of tomorrow -- from the DNA up 🧬🧬🧬 🙏 BOTANIC-1 just dropped, a family of models to do just that (beating all prev models) All open on @huggingface 🤗 + more useful than Millennium Problems More in 🧵

Millennium Problems are just the beginning—to realize epic science we need to be pushing across many domains (most of which have no verifiable rewards). Come work with us on these hard problems (together with @AnthropicAI @futurebio_xyz and @HackIterate) this October.

There is a child with a rare disease who is currently suffering and struggling to manage his symptoms. Rare as this is, you can directly help him. Today we are launching the "Rare Disease, Real Kid" Hackathon, and there are $50,000 in prizes from @AnthropicAI and @awscloud. We (@huggingface & @Sagebio) are helping this child open his genome and clinical data to the community, so that we can find what's caused his disease and what currently-approved drugs could help him. I doubt I need to motivate this much further or explain how rare it is for a family to share their child's genome and clinical data, but if you're not sure, consider this: Until very recently, it wasn't feasible for patients like this to get treatment because their disease was so rare that the economics could never justify the investment. Now, as we've seen, people with rare diseases are starting to be able to find the answers themselves (with the help of AI tools, cheaper sequencing, etc). This kid is not able to do that for himself and neither are his parents, so we're asking you for help. Both for this kid and to prove that it's possible for everyone else suffering from a rare disease. More details in 🧵.