Can we automate science? Sam Rodriques is already doing it.
Sign up for the Smarter Faster newsletter A weekly newsletter featuring the biggest ideas from the smartest people Notice: JavaScript is required for this content. Artificial intelligence is already doing some pretty amazing things — writing stories, solving problems, creating songs, generating art, and producing lifelike videos and images. But these are mere parlor tricks compared to a more profound potential ability: automating discovery itself. Many scientists are already excited about AI. In a Nature survey of 1,600 scientists published in September 2023, more than half of respondents expected AI tools to be “very important” or “essential,” citing faster data processing, expedited computation, and a reduction of research time and costs. But some people are working on an even more ambitious goal: AI models that could be transformed into “full stack” AI scientists, capable of not just formulating hypotheses but also conducting the experiments, analyzing data, and sharing possibly game-changing findings. The nonprofit FutureHouse is working to realize this vision. Its stated purpose is “to build AI systems that can scale scientific research and accelerate …