AI Compendium · Part VI — AI Across the Domains of Knowledge
Where AI meets science and society. Parts IV and V deal with how AI works and is built; this part shows what it is already transforming — mathematics, physics, chemistry, biology, and applied domains (including Brazilian opportunities).
🎨 Figure
F-VI.0— AI crossing the fields of knowledge. Brief: an aerial view of "islands" of knowledge (mathematics, physics, chemistry, biology, law, finance, education) linked by AI bridges to a central core; each island with a symbol-icon. Compendium palette.
The connecting thread: where AI shines first
AI advances fastest where there is cheap verification and data — which is why mathematics and structural biology are among the domains closest to "superhuman." The same lever principle (Part V): data + verification.
Map of the part
| Doc | Domain |
|---|---|
01-mathematics.kmd |
Formal proof (Lean/Coq), RLVR with a verifier, the domain closest to superhuman |
02-physics-and-chemistry.kmd |
Neural simulators, climate, materials, molecular generation |
03-life-sciences.kmd |
AlphaFold, protein design, DNA at scale, drug discovery |
04-applied-domains.kmd |
Law, finance and education — focused on Brazilian opportunities |
How this part talks to the rest
- Applies the types (Part IV: GNN, diffusion, RL) and the levers (Part V) to
real problems in each science.
- Reinforces the central thesis: * partnership with a labhospitalfirm
(proprietary data) is worth more than any GPU.*