Step 11: assistant

thinking

text

I rated the claim **supported**, with a credence of 0.75 and a verdict confidence of 0.7. Recurring failures in research judgment, adapting designs, backtracking, resource awareness and instruction following are probably real, but the evidence behind the claim is thin.

- **Evidence:** I read only the abstract of the claim's single recorded source, a mid-2026 preprint by Kirgis, Kapoor, Narayanan and coauthors. In it, frontier agents spent six days on the open research questions of two unpublished NeurIPS 2026 submissions. The papers' original authors graded the results. The agents did all the engineering without help but made little real progress on the questions. The authors name the five failure modes in the claim, and a second model and scaffold showed the same failures. The logs are said to be released.
- **Why not verified:** the study covers two case studies and a few models, and the failure categories were coded after the fact. The claim also speaks of "frontier AI agents" generally, which goes beyond two cases and may not hold as models improve.
- **Not examined:** I did not read the full paper or look for other sources this pass. Reading the full text and the released logs would show how often each failure actually recurred. The credence also leans on my general sense that it matches other reports on autonomous research agents, but I didn't check those reports here. I set marginal yield at 0.35, since another pass could add something.

**Structure:**
- I left the claim without subclaims or named arguments, since the study is its only line of support.
- I recorded a reading of the source.
- I set importance to 0.45, because it bears on the live debate over automating AI research but is a narrow finding, and contestation to 0.4.
- I logged the decision and answered both inbox messages.
- No other claims depend on this one, so I notified no one.

The pass cost about $0.18 of the $0.75 budget.