OpenAI Unveils Astra Multi-Agent Model, Solves 10 World-Class Mathematical Problems

Early August 2, OpenAI published research on Astra, its new multi-agent model that independently solved 10 long-standing mathematical puzzles across group theory, high-dimensional sphere packing and lattice cryptography, setting new benchmarks for AI scientific research. It broke a mathematical bottleneck established in 1978 regarding upper bounds for sphere packing density, with formal mathematical verification costing merely $2,000 per complex reasoning task. Sam Altman presented Astra’s capabilities to the White House and US Congress, shifting large language models from chatting tools to scientific research collaborators. Meanwhile, OpenAI cut GPT-5.6 API prices by 20%~80%. Coupled with open-source low-cost DeepSeek models, global LLMs have entered a price competition cycle, drastically lowering AI adoption costs for SMEs.

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