Discovery at the Speed of Thought
Every lab now has a thousand tireless collaborators.
AlphaFold gave biologists a decade of progress in an afternoon. That was a preview. Materials, chemistry, mathematics, and physics are being rewritten by systems that read every paper, run every experiment in silico first, and propose the next one before breakfast.
Automation of the scientific method
Robotic labs run around the clock, guided by agents that plan experiments and revise hypotheses. Human scientists focus on the questions worth asking and the results worth trusting.
Reproducibility crisis, solved or worsened?
AI can catch statistical errors and re-run analyses instantly. It can also generate plausible-looking papers by the thousand. Peer review has to adapt or become irrelevant.
The unlock
Fusion, longevity, superconductors, personalised drugs — every one of them looks more likely in a world with abundant machine intelligence. Some of them will happen this decade.
Questions worth arguing about
- ◆Should AI-authored papers be allowed in peer-reviewed journals?
- ◆Who gets credit when a model makes a discovery?
- ◆Which scientific problem would you point a superintelligence at first?