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Reading up on GPT-5.1

6 deep · digging since nov 19, 25

  • news.ycombinator.com favicon
    Where the goblins came from

    OpenAI traced GPT-5.1's goblin metaphor habit to reinforcement learning rewards that favored creature metaphors in Nerdy personality training.

  • openai.com favicon
    Where the goblins came from

    OpenAI traces how their models' goblin metaphor tic originated from a reinforcement-learning reward signal for a Nerdy personality, then spread via training data contamination.

  • news.ycombinator.com favicon
    The highest quality codebase

    Iterating a prompt 200 times to improve codebase quality with Claude produces exponentially worse code, introducing bloat and bugs.

  • quesma.com favicon
    Nano Banana Pro: raw intelligence with tool use - Quesma Blog

    Google's Nano Banana Pro uses tool integration for factually accurate infographics and maps, but still has blind spots like circuit diagrams.

  • shumer.dev favicon
    My Gemini 3 Review — matt shumer

    Gemini 3 excels at creative writing and complex reasoning over GPT-5.1, delivering high-quality output with speed and a direct, non-verbose personality.

  • cookbook.openai.com favicon
    Build a coding agent with GPT 5.1

    OpenAI demonstrates building a GPT-5.1 coding agent that scaffolds NextJS/shadcn apps using shell, web search, apply_patch, and Context7 MCP tools via the Agents SDK and Responses API.