Harvard physicist says AI could solve fundamental physics in 5 years as accuracy jumps 2% to 35%
AryHHAry · x · 2026-10-22
A long-form argument on AI's impact on theoretical physics:
- In early 2026, Harvard's Matthew Schwartz told the field's largest annual meeting that theoretical physics is "on the chopping block," predicting fundamental problems—including the quantum-general relativity reconciliation—would be solved within 5 years via AI, in a talk titled "10,000 Einsteins."
- An MIT study shows top AI models' solve rate on theoretical high-energy physics, gravity, cosmology and quantum problems jumped from 2% to 35% between mid-2024 and mid-2026, with no slowdown.
The author pushes back: the better AI gets at plausible-looking reasoning, the greater the need for boundaries between correct and merely plausible solutions, generalization and memorization, efficiency and thermodynamic violations. Theoretical physics produces exactly those bounds—not predictions, but the possibility space predictions must live in. Its strategic role in the AI era is as "architect of boundaries," using the physics language of stability, entropy, symmetry and information to build AI trust frameworks.
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