Reading up on GPT-5.1
6 deep · digging since nov 19, 25
- 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.
- 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.
- The highest quality codebase
Iterating a prompt 200 times to improve codebase quality with Claude produces exponentially worse code, introducing bloat and bugs.
- 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.
- 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.
- 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.