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Google / Gemini

AI at Google and DeepMind: the Gemini models, the Veo video models, research results and the product family.

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Nov 14

Saturday
  1. Advancing science & engineering with Antigravity’s /teamwork

    Over the past several weeks, teams across Google and academic partner institutions have tackled open problems in math, science, and complex systems engineering that had remained open for years. We are making these agentic tools available in Antigravity’s /teamwork (alongside /boost and other agents) so that researchers and developers can apply them to their own work.

Nov 13

Friday
  1. llm-gemini 0.37

    Release: llm-gemini 0.37 Google launched Gemini 4 Hydrogen today - the lowest cost member of the Gemini 4 family. It's actually not too far off the price of its much bigger siblings, Carbon and Argon. I'm finding Gemini 4's pricing really confusing.

  2. OpenAI’s data suggests that frontier models are hiding their thoughts because developers optimize for capability and compute

    OpenAI's safety team systematically investigated why the chains of thought in frontier models like GPT-6 Astra are increasingly evading oversight. Four training steps drive the erosion, including architecture choices and reinforcement learning. The analysis shows that the loss of transparency is not a law of nature but also reflects tradeoffs around capability and cost.

Nov 12

Thursday
  1. 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.

Nov 11

Wednesday
  1. Gemini 4 Carbon is now available

    Today, we’re making Gemini 4 Carbon available to developers, enterprises, scientists, and consumers. Carbon is our strongest model with frontier performance in cybersecurity capabilities and long-horizon agentic workflows across complex knowledge work, software engineering, and scientific reasoning.

  2. NVIDIA Expands Open Source Commitment With OpenShell Contribution and New AI Infrastructure

    Kubernetes, the open source system that manages how applications run across thousands of AI factories, has become the foundation for AI, and the demands on it are only growing. To help meet them, NVIDIA is deepening its commitment to open source at KubeCon + CloudNativeCon, the flagship conference for the Kubernetes and cloud-native communities.

Nov 10

Tuesday