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AI / Model

2026-05 3 posts

  1. Long-Context Evaluation — NIAH and Lost in the Middle

    NIAH limits, the Lost in the Middle effect, alternative benchmarks, and measured recall across four reasoning-effort modes

    AI·Model #10

  2. 10 OpenAI Models Through Quick Benchmarks — The Model Isn't as Smart as You Pay

    19 configurations of 10 OpenAI models, 30 runs each on three reasoning problems. gpt-5-nano on minimal scored 4.4%; o1 scored 47.8%, below gpt-4o at 66.7%.

    AI·Model #6

  3. Experimenting with the GPT-5 Responses API Web Search Tool

    In the GPT-5 Responses API, web search worked with gpt-5 but returned a 400 error on gpt-5-chat-latest. Plus notes on search_context_size and verbosity.

    AI·Model #4

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