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Most covered this week

Stories reported by the most independent outlets in the last 7 days.

  1. Nov 13

    Google releases Gemini 4 Hydrogen, a fast model that replaces 3.8 Flash and upgrades Search

    Google launched Gemini 4 Hydrogen on 12 November 2026 as its fast, cheaper tier. It reaches the Gemini API, the Gemini app and Search for all users, and replaces Gemini 3.8 Flash across Google's products.

    Models4 sources

  2. Nov 7

    US midterms hand data center limits a wide win, and the AI buildout faces delays

    Voters in the US midterms backed local data center restrictions and elected governors and senators who favor pauses. Analysts say this could slow AI infrastructure projects planned for 2028, though industry voices dispute the reading.

    Policy and safety3 sources

  3. Nov 12

    Google Labs launches Tabletop, an AI tool for building shared group planning spaces

    Google introduced Tabletop on 11 November 2026, a Labs experiment where groups prompt an AI to generate shared tools such as itineraries and polls. It is available by waitlist to US adults only.

    AI assistants2 sources

  4. Nov 11

    Google DeepMind releases Gemini Robotics 2.5 to robotics partners with new safety benchmark

    Google DeepMind says its Gemini Robotics 2.5 model lifts task success rates by 30% to 100% and reached 96% in a Mercedes-Benz factory pilot. It is limited to robotics partners for now.

    Models2 sources

  5. Nov 8

    OpenAI reportedly raises $11 billion at a $1.25 trillion valuation, short of its goal

    Bloomberg reports that OpenAI has secured $11 billion so far in a round valuing it at $1.25 trillion. The round is still open and falls well short of the $30 billion the company first sought.

    Business2 sources

  6. Nov 10

    Google DeepMind's AlphaProof Code verifies Signal protocol's real implementation with AI agents

    Google DeepMind says AI agents proved security properties of the code behind the Signal protocol in four weeks, using a new framework called AlphaProof Code. The company is open-sourcing the verification artifacts.

    Models