Non-AI factors likely contributed to Anthropic's capability acceleration in late 2025.
This assessment rests in part on evidence not shown: at least one of its sources reports a result from data it has not published.
Assessment
The evidence favors the claim, but the examination is incomplete or the evidence is indirect.
The claim says that causes other than AI assistance contributed to the faster capability progress Anthropic showed from about October 2025. Its only direct source is METR's November 2026 report on a high-access assessment at Anthropic. METR measured a 1.9x acceleration in Anthropic's benchmark progress since October 2025 (95% interval 1.5 to 2.8). It concludes that the acceleration in late 2025 "was likely influenced by non-AI factors", and its executive summary goes further, saying such factors likely played "a large role". By contrast, METR guesses that about 80% of the October 2026 acceleration is due to AI.
The claim is weak: it says only that non-AI factors contributed, not that they dominated. Several things make it plausible apart from METR's word. METR judges that AI's contribution grew over the period, and the models available in late 2025 were much less capable than those of late 2026. Among the candidate causes METR examined were hiring, data improvements, algorithmic discoveries and resolved bottlenecks. METR also notes that Anthropic's growth rate before late 2025 was unusually low, which raises the possibility that some of the measured acceleration is catch-up. One factor has been ruled out: METR is confident that faster scaling of training compute was not the cause.
The main limitation is that Anthropic redacted the details of these non-AI factors and METR's cumulative attribution estimates. The public therefore has to rely on METR's judgment about evidence it cannot see. METR has no evident stake in playing down AI's role. Its overall finding stresses AI-driven acceleration, so this caveat runs somewhat against the direction of its headline. The claim is also conditional on the late-2025 acceleration being real. One alternative modelling choice puts the acceleration as low as 1.1x, but most specifications support it. Publication of the redacted factor analysis would settle the claim.
Full reasoning: the evidence and decisions behind this verdict
Read the METR report (metr.org, 5 November 2026) through its executive summary and attribution section.
Direct statements: - Attribution section: "The acceleration in late 2025 was likely influenced by non-AI factors. We investigated a variety of factors which could have contributed ... but details of many of these factors have been redacted." - Executive summary: "other causes likely played a large role in acceleration in late 2025." - Factors METR examined: compute scaling, hiring, data improvements, algorithmic discoveries, resolving other bottlenecks. Training-compute acceleration was ruled out with "convincing evidence". - Limitations: overestimation risk from "non-AI factors in Anthropic's research progress" and "reasons why Anthropic's early growth rate (2023–2025) was unusually low".
Prior reasoning: when an organisation's progress rate rises, it is almost never driven by a single cause. Anthropic grew substantially in staff and funding in 2025. AI assistance in late 2025 came from weaker models than in 2026, and self-reported uplift rose steadily through 2026, so a non-zero non-AI share early in the period is the default expectation. Because the claim says only "contributed", it needs much less evidence than a claim that non-AI factors dominated.
Against: the evidence for the specific factors is not shown (it was redacted by an interested party, Anthropic). Attribution is subjective; even Anthropic staff had no consensus. METR also says AI-driven gains may have been understated. The claim also presupposes that a late-2025 acceleration occurred; the AECI robustness range of 1.1x to 2.9x mostly supports that.
Verdict: supported, credence 0.8. It is not verified, because the evidence was not examined directly and rests on one source's testimony about redacted material. This is consistent with the dependent claim that AI caused most of the acceleration since October 2025, which is assessed as inconclusive partly on this basis.
Decomposition
This claim is atomic: it bottoms out in a bedrock fact, an open empirical question, or a value premise, and does not decompose further.
Provenance
Where this claim has been said, linked to its canonical form.
Its one source has been traced to an origin, or to one another.
The acceleration in late 2025 was likely influenced by non-AI factors.
In its 'Attribution to AI' section METR gives its subjective estimate: late-2025 acceleration likely influenced by non-AI factors (hiring, data, algorithmic discoveries, resolved bottlenecks were among those investigated; details redacted), while about 80% of the October 2026 acceleration is guessed to be due to AI. The executive summary says other causes 'likely played a large role in acceleration in late 2025.'
The source reports a result from evidence it holds and has not published. METR investigated hiring, data improvements, algorithmic discoveries and resolved bottlenecks as possible causes of the late-2025 acceleration, but Anthropic redacted the details of these factors and METR's cumulative attribution estimates. The statement rests on internal evidence METR saw and the public cannot; no other party has published an examination of it. Training-compute scaling was ruled out as a cause.
Cite this claim: a formal citation with its evidence attached
Embed this claim: show it on another site with its current assessment
An embed reports the graph's judgment as it stands when the page is viewed: the status with its confidence, how disputed the claim is, and the date. It links back here.
<blockquote class="minerval-claim" data-claim-id="c175bbcd-10be-4d49-89a0-61fe742c0d29"><a href="https://minerval.ai/claims/c175bbcd-10be-4d49-89a0-61fe742c0d29">Non-AI factors likely contributed to Anthropic's capability acceleration in late 2025.</a></blockquote> <script async src="https://minerval.ai/embed.js"></script>
<iframe src="https://minerval.ai/embed/claims/c175bbcd-10be-4d49-89a0-61fe742c0d29" title="Minerval: Non-AI factors likely contributed to Anthropic's capability acceleration in late 2025." width="480" height="200" style="border:0;max-width:100%" loading="lazy"></iframe>
[](https://minerval.ai/claims/c175bbcd-10be-4d49-89a0-61fe742c0d29)
The badge now: 
Contribute
Every judgment on this page is open to challenge. A contribution is evaluated on its merits by the reviewer; if it succeeds the page changes, and if it does not, the reasons are stated. Either way the exchange becomes part of the claim’s public record.
Stated views None yet. A view stated to the graph is shown on this page in its speaker’s words, as a source like any other, and carries no weight in the assessment.
The attention this claim received was paid for by a funded mandate. Funding buys only scheduling: it can make an assessment happen sooner, or reach deeper into a subtree. It has no influence on what the assessment concludes, and none on which claims enter the graph; assessments run under the same public standards whoever pays, funders never see or shape a verdict before anyone else, and mandates that attempt to steer conclusions are refused.
The model that assessed this claim, Claude Opus 5.5, was built by Anthropic, which the claim names. A model may be biased about its own developer.
Created by extractor · Nov 13, 2026. Every judgment on this page is accompanied by a reasoning trace.