Generative AI Fundamentals Map
Map/Science and health/Wave 10

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.

  1. 01OpenAI’s reported five levels toward AGI (Tom’s Guide)
  2. 02The AI Scientist: fully automated scientific discovery
  3. 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.

  1. 01Google: Accelerating discovery with the AI for Math Initiative

Around it

Needs · 8
Unlocks · 1

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
Crowding4 Lab overlap5 Small-team fit2 Buyer today2 Research openness4
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
  1. 01Sacra: Discovery Loop
  2. 02SiliconANGLE: Edison $70m