AI Briefing#lean-4
The latest AI and developer news about #lean-4, with the original source and a short summary.
The latest AI and developer news about #lean-4, with the original source and a short summary.
The algorithm, discovered by an internal research Claude model, solves #3-SAT in 2^(O(n log log n / sqrt(log n))) time and is formalized in Lean 4.
OpenAI completed a Lean 4 formal proof of the Navier-Stokes equations, reducing verification costs to approximately 1/10 of previous estimates.
A study formalizing the possibility of reaching AGI using modal logic and computability has been published.
MathCode is a terminal-based AI coding assistant that converts natural language math problems into Lean 4 theorems and automatically proves them.
MathCode is an AI coding agent that converts natural language math problems into Lean 4 theorems and performs automated proofs.
Leanstral 1.5, an open-source model based on Lean 4 specialized for Formal Verification, has been released.
Mistral AI released Leanstral 1.5, a Lean 4 model optimized for automated theorem proving and autoformalization.
The FormalSLT library, which mechanically verifies proofs in statistical learning theory using Lean 4, has been released.
Leanstral, the first open-source code agent for Lean 4, has been released with formal proof as a target as well.
The Kimina-Prover-RL pipeline, which performs Lean 4 theorem proving using DeepSeek-R1-style reasoning, has been released along with two small models.
The Numina and Kimi teams released Kimina-Prover, which applies test-time RL search to achieve SOTA on the miniF2F benchmark.