Biology is too dense for us to model it exhaustively with our own minds But a few powerful mental models will suffice to fully understand it with lots of compute and AI Biology is a relatively simple compute problem once you can read it at a high enough resolution

"Biology is becoming an information technology. We're learning to read and debug our own biological software to stop diseases before they can threaten our lives. Breakthroughs like this are about to unlock longevity escape velocity." - Ray Kurzweil, Futurist

Textbook biology, brought to life right in your browser 🌿 This interactive 5-stage visual atlas built by Argon in @antigravity turns dense textbook biology into a hands-on experience. With fluid animations and scientific precision, you can scroll from a sunlit leaf all the way down to sub-cellular chloroplasts. The model pairs accuracy with a seamless interactive design, demonstrating how to build educational tools that can make complex science visual and effortless to explore.

In biology, like in cybersecurity, we’ll learn in the coming years that most of the risk is concentrated and created by the few most powerful labs and that open-source AI is the solution and mitigation of this risk!

Can LLMs simulate biology? We tested frontier models on real lab experiments: predict how cells respond to drugs, gene knockdowns, and immune signals. Even the best get only part of the response right. Lots of room to improve. Introducing BioSimBench, built on @NVIDIAAI. 🧵