AI News/Wire summary
AI solves far more theory problems across several physics and math fields
Key points
- MIT study by Neil Thompson's lab says AI may soon transform probability, statistics, economic theory, cosmology and quantum physics.
- Share of theory problems solved by top models rose from about 2 percent in mid-2024 to about 35 percent by mid-2026.
- Models tested were OpenAI's o1, o3, GPT-5 through GPT-5.5; they had no internet access and had to solve problems unaided.
- Researchers say experts will still be needed to verify solutions, since models can produce errors on complex problems.
Why it matters for marketers: Content teams covering science should expect rapid AI progress in theory-heavy fields, and fact-checking AI-generated technical claims will remain necessary.
Summary by the Z Media news desk, from the outlets' reporting. Read the full stories at the source.
Read the original
Wired: AI Came for Math. Now Itβs Chasing the Rest of Science
More coverage
Related on Z Media
- Google ships Gemini 4 Argon with tiered access and a price that doubles in NovemberOur brief, via Google DeepMind, 2 days ago
- Meta releases Muse Spark Open, runnable on two Apple Mac Studiosvia The Verge, 6 hr ago
- Google rolls out Universal Cart for US shoppers in Gemini and Searchvia The Verge, 12 hr ago
- Google Play opens to private vibe-coded apps built in AI StudioOur brief, via TechCrunch, 2 days ago
- Anthropic gives METR researchers employee-level access to its modelsvia TechCrunch, 5 hr ago
- Bluesky extends its Attie app to let anyone build websites and gamesvia TechCrunch, 6 hr ago