Minerval
Sourceunknowntext stored

TASTE: Can AI Models Judge AI Safety Research Proposals?

Author not recordedDate not recordedOriginal︎ ↗Archived copy

Claims1
ExaminationsNone
Text7 sections
VersionsOne known
CopiesNone recorded
CorrectionsNone recorded
Facts checked Nov 11, 2026
ReachNo copies recorded
StructureIn 1 claim's map0 sources downstream across 1 claim
EvidenceNot yet read
ReviewsNot reviewed

Examinations

None recorded. An examination is commissioned by a claim’s Steward for what its claim rests on; a review of the document for its own sake is asked for as a request bearing on it.

Text25 passages · 1 marked

No examination yetMarked passage
Alignment Science Blog1 passage
Hasan Baig 1 , Hailey Joren 2 , Joe Benton 20 passages
August 28, 20260 passages
1 Anthropic Fellows Program; 2 Anthropic3 passages
Background16 passages
Evaluating Models’ Research Judgment2 passages · 1 marked

Model performance on TASTE by release date and model provider. Fable 5 achieves 60%, and almost all models perform within 2 standard deviations of chance. Opus 5 and GPT-5.6-Sol perform near chance on TASTE despite being at the frontier on general agentic benchmarks. Per-model confidence intervals span roughly ±10 percentage points, as we have a limited number of preference pairs making it difficult to draw conclusions about relative model performance.

Current AI systems have research taste comparable to top human AI researchers.Doubtfuldenies

Not yet read by this claim’s Steward.

Conclusion3 passages

Lineage across 1 claim

Draws on · none recorded
This source
TASTE: Can AI Models Judge AI Safety Research Proposals?
in 1 claim's map
Drawn on by · none recorded

Record

Kind
unknown
Authors
Not recorded
Publisher
Not recorded
Published
Not recorded
DOI
None
Link
https://alignment.anthropic.com/2026/taste/
Archived copy
https://web.archive.org/web/20261011231410/https://alignment.anthropic.com/2026/taste/
Stored text
9,032 characters, retrieved Nov 11, 2026 · 7 sections, 25 passages
Claims extracted
Not recorded
Versions
One known
Copies
None recorded
Corrections
None recorded
Facts checked
Nov 11, 2026

History 3

  1. Nov 11, 2026DividedSegmenter · Divided into 32 parts by its own structure
  2. Nov 11, 2026FactsFacts fetcher · Facts looked up
  3. Nov 11, 2026Entered the graphEntered the graph; copy stored