AlphaProof Code verifies Signal encryption mathematically
Google DeepMind: Introducing AlphaProof Code: a breakthrough in verifying complex software at depth
AlphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.
Google DeepMind developed AlphaProof Code, an AI framework that uses multiple language models working together to mathematically prove that software code is correct and secure. The breakthrough involves AI agents formally verifying a widely deployed cryptographic protocol at the implementation level rather than just the design level, completing verification work in four weeks that historically takes expert teams years. Formal verification is the highest security standard because it mathematically proves code runs without flaws, which is critical for cryptographic protocols that protect digital communications for billions of people. The system combines human expertise with AI agents to decide what to prove and then generate the mathematical proofs, with humans reviewing only the small portion of the codebase that needs additional scrutiny.
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Anthropic releases new Mythos and Fable models amid RSI concerns
Anthropic says the new models "show improvements in areas like coding, reasoning, and vision," as well as in communicating more clearly with users.
Also reported by The Verge, SiliconANGLE and MarkTechPost
Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens
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Also reported by SiliconANGLE
Google releases Gemini 4 Carbon with agent ‘swarm’ feature
Google is rolling out its latest AI model, Gemini 4 Carbon, to the general public after releasing it to a select group of "cybersecurity defenders" two weeks ago. Google claims Carbon is its "strongest model" yet, and capable of competing with the very best systems from Anthropic and OpenAI. Google says Gemini 4 Carbon "pushes the frontier even further" than Argon, referring to the company's other frontier model that launched only last month. The company said Argon will likely
Gemini 4 Carbon is now available
The latest version aims to deliver improved performance while reducing the computational resources and energy required for AI operations.
NVIDIA launches GR00T 2 and Isaac Lab 3.0 at CoRL
A range of developers, including RLWRLD, Skild AI, and Flexion, are already using NVIDIA’s latest technology. | Source: NVIDIA NVIDIA Corp. today introduced GR00T 2, its updated open frontier world action model, and Isaac Lab 3.0, the latest version of its open-source robot learning framework. The company made these announcements at the Conference on Robot Learning, or CoRL, in Austin, Texas. NVIDIA also gave a look at how its partners, like Ambi Robotics, Bosch Research, Dexmate, Dyna Rob
Meta releases Muse Ember, a new lightweight model for agent execution
At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna.
Also reported by SiliconANGLE and MarkTechPost