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Google Research·· 17 hr agoFeaturedAI score88

Advancing science & engineering with Antigravity’s /teamwork

Advancing science & engineering with Antigravity’s /teamwork

AI summary

Google describes how multi-agent workflows in Antigravity's /teamwork, built on Gemini 4 models, produced results on open problems including a full proof of the 2013 Courtade–Kumar conjecture formalized in Lean 4, a machine-checked formalization of the Weil conjectures spanning about 1.8 million lines of Lean, and 95% top-1 accuracy on molecular structure determination from NMR data. The post also reports engineering gains such as a memory-safe Rust rewrite of the Zircon microkernel adding about 800,000 lines, a libgav1 Rust port that became 20-30% faster than the original C++, and fleet-wide memory savings surpassing initial estimates of 1 PiB. Google says the tools are available to external researchers and developers in Antigravity today, with 10,000 academic researchers offered six months of free access to its highest usage tier.

Why it matters

It is a detailed primary account of agentic AI applied to research mathematics, formal verification, chemistry and production infrastructure, with concrete benchmarks and named results.

Source: Google Research · research.google