“The results were dismal: None of the AIs scored higher than 5% overall.”
Our reading, the sentence that was checked:
On the 2025 USAMO, none of the leading reasoning LLMs tested scored higher than 5% overall.
Assessment: Supported Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Reports of LLMs mastering math have been greatly exaggerated, paragraph 1.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-reports-of-llms-mastering-math-have-552698-a1
We recorded 11 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-28. The source may have been edited after 2025-04-05. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Observation
- Deadline, as the speaker wrote it
- None stated. This site does not add one.
- Deadline state when assessed
- No horizon
- Deadline state on 2026-10-29
- No horizon (the release’s reference date)
Conditions
- USAMO 2025 problems (qualifier, stated by the speaker)
- proofs evaluated by experts (qualifier, stated by the speaker)
From the speaker
- None of the AIs
- higher than 5% overall
- USAMO
- proofs output by all these models were evaluated by experts
Our interpretation
- The claim concerns the six named models in the original March 2025 evaluation.
- Overall means the aggregate expert-assigned points, averaged across evaluation runs and divided by the maximum possible points. It does not mean the percentage of problems completely solved.
- Later models and later evaluations are outside this claim.
Counts as supported if: Every named model received an aggregate average score no greater than 5% of the available points in the original evaluation.
Counts as contradicted if: At least one named model received an aggregate average score greater than 5% in that evaluation.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
Outcome: Supported
The dated evidence matches what the claim committed to, under the criteria frozen before grading.
Scored on a plain reading. The speaker named no measure for this claim, so it was judged on the reading an informed reader would take, stated below under our interpretation. Both reviews had to find that reading fair.
- Evidence as of
- Deadline state when assessed
- No horizon
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
The original evaluation's highest average total was 2.0 points out of 42, approximately 4.76%. All six models Marcus named were therefore below his 5% threshold.
Limitations
- This describes the original evaluation with its particular prompts, sampling procedure and expert grading.
- It does not establish a ceiling on these models under other methods or on subsequently released models.
Evidence (1 item)
Supports the claim: Petrov et al., ETH Zurich and INSAIT; arXiv,
four runs
Why it matters here: Table 1 reports average totals of 2.0, 1.8, 1.5, 1.2, 1.2 and 0.9 points for the six named models, against a maximum of 42. The highest reported total therefore corresponds to approximately 4.76%, below 5%.
- Publisher
- Petrov et al., ETH Zurich and INSAIT; arXiv
- Kind of source
- Preprint, not peer reviewed
- Arithmetic
- 100 × max(2.0, 1.8, 1.5, 1.2, 1.2, 0.9) / 42 (inputs: Table 1 displayed totals: R1 2.0; Flash-Thinking 1.8; Claude 3.7 1.5; QwQ 1.2; o1-pro 1.2; o3-mini 0.9; Maximum total: 42 points; Approximately 4.76%, calculated from the displayed totals. Their rounding does not put the maximum above 5%.)
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Reports of LLMs mastering math have been greatly exaggerated
The results were dismal: None of the AIs scored higher than 5% overall.
- Where
- paragraph 1
- Published
- 2025-04-05
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-reports-of-llms-mastering-math-have-552698-a1: Current. Outcome: Supported. Evidence as of 2026-10-28. Public date not recorded.
Recorded events
Assessment publishedBy this site
First assessment published after both reviews and the final-text check passed.
About assessment marcus-reports-of-llms-mastering-math-have-552698-a1.