For many people, including me, the real promise of AI is massively accelerated scientific discovery. Chatbots, vibe coding, video generation: these things are magical, but what I really want is superhuman medicine, radical life extension, humanity blossoming out into the universe. Understanding the universe. Is this the path we’re on?

Recently Leap had the opportunity to get involved in LongHack, a day of talks followed by a hackathon weekend, organised by London Longevity. Mo Elzek kindly invited me to present something about AI for science – an invitation which I accepted, hoping to meet some longevity researchers who might be able to use our discovery engine to advance their work on understanding aging. Lots of people asked for slides, which you can find here (bit hard to make sense of without my pontificating) – but it's an important enough topic that I thought I’d write up my notes.

In [...]

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Outline:

(01:23) The Scientific Method

(02:17) Literature Review

(03:54) Knowledge Graphs

(05:53) Hypothesis Generation

(07:53) Robotic Labs

(09:10) Machine Learning for Science

(11:45) Machine Learning + Interpretability

(15:05) AI Scientists

(17:40) What now?

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Narrated by TYPE III AUDIO.

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