Google Antigravity Teamwork Agent Solves Open Math Problems, Simulates CPU
behrouz_ali · x · 2026-08-28
Google Antigravity's Teamwork multi-agent framework, powered by Gemini 3.7 Flash, has achieved breakthroughs in research and engineering. Key results include designing a cycle-level RISC-V CPU simulator that boots an OS with <1% error, solving seven open problems in math and TCS (hitting 71% on TCSBench), and verifying proofs in Lean. The framework enables agents to autonomously propose and refine work over long horizons.
More from coding & agent
- Poly codebase visualization shows 10k nodes out of 30k+ total — RileyRalmuto · 2026-08-28
- Sentry Founder: Cloud Agents Massively Superior Even Without Memory — zeeg · 2026-08-28
- Sentry Founder: Memory in Coding Agents Already Showing Value — zeeg · 2026-08-28
- Agent writes custom NPU kernels in Chinese to maximize low-end compute — yacineMTB · 2026-08-28
- AI Agents Fail in Companies Because Workflows Are Messy, Not Models — serpratik · 2026-08-28
- Nate Berkopec: True Memory Has Never Been Tried — nateberkopec · 2026-08-28