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Friday5 items

  1. dkundelModel releases
    AI score67

    English translation is being prepared.

    Quoted postOpenAI Developers · @OpenAIDevs

    GPT-6 Astra is our best model yet for computer use, software engineering, and visual understanding to date. Hear from the builders putting it to work: https://t.co/xZrolWBXXU

    #Industry news#OpenAI#Model releases

  2. markchen90Model releases
    AI score49

    English translation is being prepared.

    Quoted postOpenAI · @OpenAI

    This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast. https://t.co/gDd0IsewJw

    #Model releases#Agents#English text is being prepared.

Thursday9 items

  7. demishassabisModel releases
    AI score70

    English translation is being prepared.

    Quoted postLogan Kilpatrick · @OfficialLoganK

    Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks... This model has been a ton of fun to work with, excited to see what you all think! https://t.co/Cj07lCBtp8

    #Model releases#Google#DeepMind

Wednesday8 items

  5. Google DeepMindFirst-partyModel releases
    AI score81

    Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber

    Google DeepMind has released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, aimed at trusted defenders, calling them its most capable reasoning and coding models to date, with speed and cost comparable to 3.7 Flash. 3.8 Flash surpasses most larger frontier models on DeepSWE v1.1, scores 54.9% on HLE-Verified, and performs more reasoning steps and iteratively calls tools on complex tasks. 3.8 Flash Cyber reaches frontier-level performance on CyberGym, with an internal vulnerability-discovery benchmark success rate exceeding 70% across 20 programming languages, and a CWE-Bench patch pass@1 of 47.2%.

    #Model releases#Agents#English text is being prepared.

  6. lydiahallieModel releases
    AI score56

    English translation is being prepared.

    Quoted postClaudeDevs · @ClaudeDevs

    It’s ahead of both Fable 5 and Opus 5 across our agentic coding and computer use evals. On Terminal-Bench 4.0 in Claude Code, Fable 5.1 scores 55.8%. Fable 5 scores 42%, and Opus 5 scores 52.3% on the same setup. https://t.co/pFQ9wAFM8Y

    #Model releases#Evaluations / benchmarks#Agents

Tuesday2 items