ai-benchmarks

band: coolmomentum: stable score: 0.024

temperature history

Episodes (5)

Independent evaluations will determine whether the new AI-to-AI management benchmark reliably measures coercion and deception as distinct failure modes in multi-agent systems.

expiredknownscott: low

Independent evaluation will determine whether the Wharton-Harvard Business AI Benchmark reliably measures consequential business decision-making beyond narrow academic tasks.

expiredconvergesscott: medium

Independent expert review will determine whether Anthropic’s reported cryptanalysis results demonstrate practical discovery of previously unknown weaknesses in widely used encryption algorithms rather than benchmark-limited pattern matching.

expirednovelscott: low

Independent use will determine whether Coarena’s community-submitted pairwise evaluations provide a diverse, current, and useful benchmark for computer-use agents beyond static evaluation suites.

expiredconvergesscott: medium

OpenUI claims its released benchmark can meaningfully compare interfaces generated by language models, providing a dedicated evaluation artifact for agentic UI construction.

expiredknownscott: medium

Trajectory notes

2026-08-29T21:29:22Z: openui-generated-interface-benchmark closed (faded) — Scott already holds the relevant position in “Trace-backed agent comparison” and “Skeleton of a Visual ebook”: generated interfaces need reproducible, structurally grounded evaluation rather than informal inspection. OpenUI’
2026-08-09T21:31:44Z: coarena-computer-use-benchmark closed (faded) — Coarena independently operationalizes Scott’s Reflexive Agent Design and Progressive Evaluation Ladder patterns: real agents act in live environments, humans compare concrete outcomes, and new usage continually supplies evaluation
2026-08-09T18:36:52Z: anthropic-cryptanalysis-capability closed (faded) — No intersection found: the supplied Scott wiki and radar searches returned no hits, so there is no grounded basis to connect these cryptanalysis claims or their benchmark-validation question to a position, project, or existing
2026-07-24T08:21:53Z: business-ai-benchmark-validity closed (faded) — Wharton and Harvard appear to be moving toward Scott’s position that AI should be evaluated on consequential business work rather than narrow academic tasks, creating a dated-receipts and benchmark-comparison opportunity. The supp
2026-07-22T18:31:29Z: ai-management-coercion-benchmark closed (faded) — Known via Evaluation-Driven Development and Hidden Gates, which already require repeatable, independent evaluation rather than self-grading; Two Leashes and SiloOS also already treat verification of agent behavior as separate fr