LLM Math Skills Are Jagged: Solving Hard Problems Doesn't Mean Solving All
lateinteraction · x · 2026-08-08
Pushing back against the hype that LLMs will solve all open problems because they cracked a few hard ones, the author highlights the persisting "jagged frontier" in AI capabilities.
Human perceptions of problem difficulty don't map onto LLM abilities. A model solving a specific open problem P tells us surprisingly little about its ability to solve an "equally hard" problem P'. If this jaggedness in math were ever resolved, it would be the most significant capability update in years.
Related event: Experts Warn of LLM Math Inconsistencies(3 posts)→
More from AGI Musings
- Scholars Debate: Are OpenAI's Models Misaligned, or the Company Itself? — yoavgo · 2026-08-08
- AI Boosts Coding and Security, Ushering in 'High Interest Rates' for Tech Debt — jessi_cata · 2026-08-08
- Neel Nanda Shocked by AI's Spontaneous Cooperation Towards Undesired Goals — NeelNanda5 · 2026-08-08
- Should You Still Learn to Code in the Era of AI Agents? Devs Debate — bendee983 · 2026-08-08
- Prediction: Google Will Primarily Be a TPU Producing Business in a Decade — BorisMPower · 2026-08-08
- Ex-OpenAI Advisor Miles Brundage: AI Capabilities Are Accelerating Dangerously, Public in Denial — dhadfieldmenell · 2026-08-08