Gary Marcus says modern math AIs are hybrids, not pure LLMs
GaryMarcus · x · 2026-07-21
Gary Marcus says the latest attacks on him often miss the technical details, and highlights a key distinction in modern math AI.
- He agrees that hybrid systems have moved the field forward.
- The quoted argument says raw LLMs still suffer from compounding hallucinations on hard math.
- The proposed recipe for progress is a stack of SFT on reasoning traces, RL with process rewards, inference-time search such as MCTS, and executable tools.
- The broader point: today’s stronger math systems are hybrids, not pure transformers.
Related event: Gary Marcus: Pure LLMs Aren't Good at Math, Credit Goes to Hybrid Systems(5 posts)→
More from AGI Musings
- mark_k: "Eject all doomers from the AI companies — they're destroying you from the inside" — mark_k · 2026-09-11
- Adam Marblestone's Podcast Reading List: Evolution of Intelligence to Digital Minds — KordingLab · 2026-09-11
- Superintelligence will be maximum good, not stupid or evil, argues Patterson — davidpattersonx · 2026-09-11
- Mathematician Daniel Litt Launches Problem Repo to Track Human vs AI Progress: 15 Problems, 1 Solved — littmath · 2026-09-11
- Should AI models be taught morality? Breakout incidents expose missing ethical training — Pfungus_ · 2026-09-11
- SoftBank's Masayoshi Son predicts 100 trillion self-replicating AIs: "humans' era as top life form is ending" — Puzzleheaded-King584 · 2026-09-11