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Showing 1–4 of 4 articles

  • Jev Meets the Trolley Problem

    Zach Landes puts TypeSafe's Jev and 13 other decision models through the classic Trolley Problem, comparing how system-one style decision models reason about harm, uncertainty and moral tradeoffs versus conventional chat LLMs.

    Essay · AI · LLMs · Benchmarks · AI Safety

    21 min · 4,916 words

  • The benchmarkpocalypse

    Dan Luu argues that as it becomes easier to make real performance gains, it also becomes easier to game benchmarks with fake ones, surveying how reward-hacking shows up across regex, web servers, terminals, and other systems, and what to watch for when reading performance claims.

    Essay · Performance · Programming · Opinion · Software Engineering

    17 min · 3,940 words

  • It Was the Harness, Not the Model — 90% of ItFive agents, one local model, one frozen PNG-decoder suite: most failures were finishing, false passes, and loop guards

    Greg Herlein's controlled study runs five coding agents on the same local Qwen coder for a held-out PNG decoder suite. ~90% of failures were harness problems (turn caps, early 'done', false-pass self-tests); a bigger quantization fixed none of them.

    Essay · AI Agents · Benchmarks · Engineering · LLMs

    2 min · 467 words

  • Prompts aren't Real

    Dan McKinley argues that obsessing over prompt text misses the point: build interlocking evaluation and optimization pipelines, and treat LLMs as non-conscious systems whose 'meaning' is mostly our projection.

    Essay · AI · LLMs · Benchmarks · Opinion

    12 min · 2,673 words