Google Deepmind's AlphaProof Nexus solves decades-old math problems for a few hundred dollars
Quick Take
Google Deepmind's AlphaProof Nexus autonomously solves nine Erdős problems at low inference costs.
Key Points
- Solved two problems unsolved for 56 years.
- Uses Lean compiler for automatic proof verification.
- Current success rate is only 2.5 percent.
Article Excerpt
From source RSS / original summaryGoogle Deepmind's AlphaProof Nexus has autonomously solved nine open Erdős problems, including two that stumped mathematicians for 56 years, for just a few hundred dollars per problem in inference costs. Unlike OpenAI's natural-language approach, the system uses the Lean compiler to verify every proof step automatically. Still, the overall success rate sits at just 2. 5 percent. The article Google Deepmind's AlphaProof Nexus solves decades-old math problems for a few hundred dollars appeared first on The Decoder.
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