Expert Warns: LLM Math Capabilities Remain Absurdly Jagged
lateinteraction · x · 2026-08-08
Commenting on recent math breakthroughs by LLMs, the author points out that model capabilities remain absurdly jagged. Even if a model solves an open problem P, it tells surprisingly little about its ability to solve an "equally hard" problem P'. The author notes that if this jaggedness were ever smoothed out, it would be the biggest update in the field over the last couple of years.
Related event: Experts Warn LLMs Have Highly Inconsistent Math Capabilities(3 posts)→
More from Models
- DeepSeek V4 Flash Sets New Standard on ARC-AGI Cost-to-Performance Frontier — yacineMTB · 2026-08-08
- DeepSeek-V4-Flash Rolls Out on Ollama Cloud with 120+ Output TPS — ollama · 2026-08-08
- DeepSeek V4 Lacks Vision: Model Builds Brightness Grid to Self-Correct — teortaxesTex · 2026-08-08
- Leaked Claude 4 Test Shows 384k Max Output Tokens, Hints Higher Limits — teortaxesTex · 2026-08-08
- ProgramBench Tests AI Reverse Engineering: Gemini 3.6 Flash Tops Charts — OfirPress · 2026-08-08
- Wayve Unveils GAIA-4 World Model: Solving Safety Simulation for Autonomous Driving — alexgkendall · 2026-08-08