Antigravity formalizes historic math conjectures in Lean

Formal verification in Lean 4 is the ultimate antidote to LLM hallucinations, and Antigravity proves that autonomous multi-agent orchestration can scale rigorous mathematics far beyond manual human limits. Grounding generative models in deterministic proof kernels provides the missing link for deploying autonomous coding agents on mission-critical logic.

• –Eliminating hallucinations: The strict Lean 4 compiler acts as an unyielding falsifier, enabling agents to hypothesize, test, and discard faulty steps without corrupting the broader proof tree.
• –Million-line scale: Producing 1.8 million lines of verified Lean 4 code across thousands of subagent tasks demonstrates that structured context partitioning prevents cascading errors in long-horizon reasoning.
• –Catching human errors: Detecting and closing a subtle gap in an informal human proof of the Bochner–Riesz conjecture signals a transition where AI serves as an active co-discoverer rather than a mere assistant.
• –Blueprint for reliable systems: The same multi-agent generator-critic-falsifier topology applies directly to low-level systems programming, security audits, and formal software verification.