Capability-threshold governance of the kind Park et al. 2026 propose presumes reliable measurement of what AI systems can do, but Mullens & Shen 2026 show that foundation is shaky: "half of the hardest GPQA items contain chemically or logically indefensible answers," and "answering the persona question requires evaluation infrastructure the field does not yet possess."
Park et al.'s cited text explicitly proposes 'AI capability-threshold governance,' which directly implies measuring AI capability, and Mullens & Shen state verbatim both quoted phrases, showing benchmark validity limitations and missing evaluation infrastructure that make that measurement foundation shaky.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 04:46
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
- 01
“These findings provide quantitative foundations for AI capability-threshold governance.”
Full-text passage · p. 1 · evidence E1
These findings provide quantitative foundations for AI capability-threshold governance. Keywords:human–AI symbiosis, deskilling, dynamical systems, critical threshold, antifragility, technology dependency, AI governance arXiv:2603.24391v1 [cs.CY] 25 Mar 2026
Passage read from arxiv.org, which may be a preprint rather than the published version.
- 02
“forensic examination of model divergence identified that half of the hardest GPQA items contain chemically or logically indefensible answers”
Abstract · no page number · evidence E4