How Do AI Math-Solving Systems Work? A Reddit Deep-Dive into Lean Verification Loops
tough-dance · reddit · 2026-09-05
A Reddit user attempts to reverse-engineer the general architecture of new math-solving systems (often built around a model called Aster) and crowdsources implementation ideas.
- Known design: the model generates statements in Lean, submits them to the Lean compiler, and successful compilations are accumulated as 'facts'; the proof is done when the full document compiles
- Open question: papers run to hundreds of pages, far beyond a context window, suggesting proofs are built piece by piece with some fact-management layer assembling them
- The poster wants to build a janky version to test a higher-dimensional geometry question and wonders if meaningful work requires massive hardware
More from coding & agent
- Google GenAI SDK for Kotlin hits 1.0: idiomatic multiplatform access to Gemini — rseroter · 2026-09-05
- Cross-Model Code Review: Having Claude and Copilot CLI Battle Over Refactoring — DanWahlin · 2026-09-05
- Developer Uses Claude Code to Ship a Working F-Zero X Port to 3DS at Near 60fps — killermike523 · 2026-09-05
- Coinbase's x402 protocol replaces 700+ API keys with a single wallet signature for AI agents — kleffew94 · 2026-09-05
- Dev observes GPT-6 Astra skips read/write tool calls, uses bash for everything — lucasmeijer · 2026-09-05
- Astra's touted persistence under scrutiny: no revolutionary leap yet, users say — Benata · 2026-09-05