Agent-run discovery
Agents propose hypotheses, run experiments and publish results.
stageEmerging Open on the map →
Facts
- Lane
- Science and health
- Wave
- 10 of 12 (build order, not a date)
- Needs
- 22 boxes all the way back through hard links
- Unlocks
- 0 boxes downstream through hard links
- Leverage
- None
- Cluster
- Science and medicine
- When
- Here since 2025
Evidence as of October 2026
Level 4, "Innovators", on OpenAI’s reported scale. Early systems such as Sakana’s AI Scientist write machine-learning papers end to end for about $15 each. Verifier’s law suggests fields with fast, objective checks fall first, which is why maths is moving fastest.
- 01OpenAI’s reported five levels toward AGI (Tom’s Guide)
- 02The AI Scientist: fully automated scientific discovery
- 03Jason Wei: Asymmetry of verification and verifier’s law
Watch
Peer-reviewed results where AI did most of the work. Records broken on open maths problems.
Timeline note
First results: AlphaEvolve improved the best known answer on about 20% of more than 50 open problems.
Around it
Brakes
Works against this box
Loops and off-ramps
Openings researchers' judgement, October 2026 scouting
Startup room 23/100 · rank 123 of 124 Research room 44/100 · rank 78 of 124
- Depth
- light
- Players
- Discovery Loop (Dean; ~$50bn target); Periodic; Lila; Edison Scientific ($70m); Autoscience ($14m); Autopoiesis ($11m)
- Wedge
- Independent verification and reproduction of claims made by AI scientists. research