Google DeepMind formally verifies Signal’s encryption mathematically
Google DeepMind has announced AlphaProof Code, a system designed to transform software security specifications and implementation details into machine-checkable mathematical proof obligations. The team applied the new system to the cryptographic core of the Signal messaging protocol, generating and checking millions of lines of Lean language proofs over the course of several weeks.
Axiom Math transforms Stacks Project into programmatic proofs
On November 5, 2026, TechCrunch published a detailed technical report on Axiom Math’s success in converting the 7,654-page Stacks Project reference in algebraic geometry into approximately 16 million lines of code in the Lean proof assistant. The achievement highlights the role of formal verification in preventing AI mathematical hallucinations.
Robinhood CEO expects software to be mathematically proven soon
Vlad Tenev, CEO of Robinhood and chairman of Harmonic AI, predicted that all code will undergo formal verification through mathematical proof in just two years instead of relying solely on traditional testing. This prediction follows Harmonic’s launch of the Aristotle system, capable of mathematically verifying C code and Verilog chip designs.
Claude model proves the security of 123 software libraries
Anthropic announced that its Claude artificial intelligence model has successfully written machine-checked mathematical proofs establishing that the compiled code for approximately 123 open-source libraries cannot crash under specific conditions. During this large-scale process in cooperation with Theorem, the model discovered hundreds of software bugs and errors that remained hidden for years despite trillions of prior tests.