Science is entering its Agentic Era Introducing the Scientific AI Ecosystem Map! 🗺️ We mapped the tools, models & agentic frameworks powering the new substrate for bio Built to help founders, researchers & builders navigate the explosion in scientific AI Let’s break it down🧵

There's a clock ticking and we need to create the society (meaning both DAOs and government laws) which allows AI to most easily 'uplift' (a scifi term) humanity.

8/N Btw, we are releasing GPT-5 soon, and we’re excited for you to try it. But just to be clear: the IMO gold LLM is an experimental research model. We don’t plan to release anything with this level of math capability for several months.

For many years the steady, difficult march of science was accustomed to a forward thinking government. The path ahead for these now unfunded advancements and scientists should lead them to @BioProtocol

Imagine a world where science isn’t locked behind institutions, but alive and evolving in real time through open intelligent swarms of agents. That’s what the BioAgents platform is about: a living blueprint for the scientific singularity on @BioProtocol 1/ follow the white rabbit 👇🐇

Introducing La-Proteina, a generative AI model that creates complete atomistic protein structures together with their amino acid sequences, scalable upto 800 residues. Built by @NVIDIA Research, in collaboration with @UniofOxford and @Mila_Quebec La-Proteina addresses a key challenge in protein design by generating both backbone and side-chain atoms in a single unified process. It uses a hybrid architecture that models alpha-carbon coordinates while encoding sequence and side-chain details in latent vectors for every residue. @DidiKieran @karsten_kreis @tomasgeffner @ArashVahdat

🚀 Exciting opportunity: Seeking a young scientist to operationalize the @BioProtocol x @ResearchHub collab! Part-time/remote 👀Scout studies/funding proposals on @ResearchHub relevant to BioDAOs & allocate $RSC from @BioProtocol treasury to fast-track science Invite, help and operationalise BioDAO scientists to publish papers, studies, or funding requests on @ResearchHub

🚀 Join the @moonXBT_ai airdrop! Complete tasks to earn your share of tokens 🌙✨ #moonXBT #Airdrop #Crypto

My response to AI 2027: The AI 2027 post is high quality, I encourage people to read it at I argue a misaligned AI will not be able to win nearly as easily as the AI 2027 scenario assumes, because it greatly underrates our ability to protect ourselves, especially given the (pretty magical) technologies that the authors admit will be available in 2029 in their scenario.

Just had the pleasure of being interviewed by @Nature on the rise of AI in digital pathology. With growing workloads and global shortages of pathologists, the field is turning to AI not as a luxury—but as a necessity. Full article: In the article, I discuss how recent advances in foundation models like UNI-2 and CONCH are redefining what’s possible in cancer diagnostics. Trained on hundreds of millions of pathology patches, these models go beyond classification: they enable molecular subtyping, caption generation, and even zero-shot inference. But while the hype is real, so are the challenges. Cross-site generalization, lack of external validation, and regulatory hurdles remain major barriers. We must invest in robust benchmarking, multi-institutional trials, and trustworthy model design to ensure AI truly supports—not replaces—clinical judgment. Digital pathology isn’t the future—it’s already here. Let’s make it safe, scalable, and equitable. @UHN_Research @PMResearch_UHN @VectorInst @UofT