Ted Stinson

AI moves so fast that I thought this book was going to be a year too late. It turns out it's right on time. While I was writing, I kept having to change chapters from "someone should do this" to "someone has done this," and then go talk to the people who had done it. A good example is the chapter on virtual cells. I'd written that we needed large initiatives to build one. By the time I finished, I was writing about the ones that exist — the Chan Zuckerberg Initiative's is now the largest and best-funded push to model a human cell. The Eureka Machine is out today. It's about building a full-stack scientific superintelligence: a living map of human knowledge, a model of physical reality, high-fidelity simulations, autonomous labs, and an agent swarm of AI scientists on top. There's no better science to start with than the science of AI itself, because that's where the feedback loop is tightest. Then you expand the aperture to physics, chemistry, and especially pre-clinical biology. This will be the most meaningful application of AI, and one of the most important things humanity does. And it may be the last organic invention we need to make. After that, it starts inventing everything else for us to solve our most pressing problems. While writing, I couldn't let the idea go. Eight of us started @Recursive_SI to go build it. AI is going to massively accelerate science, and unlike most of what gets argued about right now, that isn't zero sum. I hope you all enjoy the book. I look forward to discussing it with you all.