AI Daily · Nov 12, 2026 · Thursday
Google DeepMind's AlphaProof Code verifies Signal's encryption core in four weeks
AI summary
Google DeepMind has released AlphaProof Code, which can mathematically prove that software meets security specifications and is free of errors, and has completed verification on Signal's encryption protocol in four weeks, work that usually takes years. The same day, Gemini 4 Carbon opened to all users at $2 per million input tokens and $10 per million output tokens, with plans to double to $4/$20 on 1 December.
Model releases
llm-gemini 0.36
Gemini 4 Carbon 两周前仅面向部分网络安全人员开放，现已向所有用户开放，输入定价 $2/百万 token、输出 $10/百万 token，并计划在 12 月 1 日翻倍至 $4/$20。
Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass
Google Deepmind's new Gemini Decisions API evaluates up to 1,000 closed-ended questions in a single pass across text, images, audio, and video. Gemini Decision 1 returns results in 150 to 250 milliseconds at roughly five times lower cost than Gemini 3.5 Flash-Lite, according to Google.
AlphaGenome 2: Deciphering how cells read DNA to better understand disease
Predicting how DNA sequences and their variations impact specific human cell types and disease.
Product releases
Google Deepmind's AlphaProof Code verified Signal's cryptographic core in four weeks instead of years
Google Deepmind's AlphaProof Code mathematically verified Signal's cryptographic core code in four weeks, a process that typically takes years. AI agents powered by Gemini Carbon wrote more than six million lines of proof code and flagged only about one percent for human review. Deepmind plans to extend the method to critical infrastructure like power grids and medical devices.
UAEF: A framework-agnostic system for closed-loop evaluation of AI agents
The Universal Agent Evaluation Framework (UAEF) is a framework-agnostic system for evaluating AI agents. UAEF converts each framework's traces into one canonical format, scores them with 36 built-in metrics across 7 dimensions, and stores results so teams can compare agent versions and catch regressions.
Industry
Grok-built apps exposed patient data, plaintext passwords, and SpaceXSI's own sales pipeline
Security firm Claroc found more than 35,000 Grok-built apps open to anyone without login, including patient data and confidential SpaceXSI documents. The cause: "Anyone with the link" was preselected as the default access setting. SpaceXSI took only its own 24 employee apps offline. The rest remain accessible.
Anthropic says AI is eroding Nvidia's CUDA lead, cutting an AMD chip switch from months to three days
Anthropic claims it used AI itself to breach Nvidia's CUDA moat. The company's in-house model Mythos reportedly ported Claude to AMD GPUs in just three days, with almost no human intervention. Anthropic now runs Claude on four chip families and aims to cut costs and reduce vendor dependencies.
Enterprise sales push OpenAI's quarterly revenue to $10 billion, though it still trails Anthropic
OpenAI grew its quarterly revenue 50 percent to $10 billion but is still burning more cash than it brings in. Adjusted operating losses climbed to $10.9 billion, while rival Anthropic operates far more efficiently on $17 billion in revenue. To close the gap, OpenAI is now fueling a price war for enterprise customers.