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 the pace of discovery, so humanity can proceed as quickly as possible to find cures for disease, solutions for climate change, and other species-accelerating technologies.”
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