Anthropic published a redacted version of its Risk Report: August 2026 on August 14, 2026, assessing risk as of a July 15 coverage date. In Section 2.20, “Claude’s review of this risk assessment,” the company says that “as an experimental source of additional assurance” it prompted an instance of Claude Mythos 5 to review a near-final draft of the report’s misalignment section. That instance could read many internal Slack channels, a large set of internal documents and the internal codebase, and could direct subagents. The prompt said Anthropic would like to publish Claude’s view. Anthropic says Claude took 24 minutes.

Claude’s review called the section “a candid and largely faithful account of what Anthropic internally believes” and said “evidence unfavorable to the company’s models is quoted at length rather than paraphrased away.” It also listed three main criticisms, called “low” a defensible assessment, and added that the arguments “would plausibly support a lower one.” It noted its own position: “I am a Claude model reviewing Anthropic’s assessment of Claude models.” Anthropic says it added caveats in response.

On October 20, 2026, METR (Nikola Jurkovic, Tim Hua and Beth Barnes) published a review of the same section. It agrees the risk of catastrophic harm from misalignment is low for the covered models, but “primarily due to models’ limited capabilities,” and says it is not confident the report’s methods would catch higher risk. When METR asked Claude Fable 5, which it describes as the same underlying model as Mythos 5, to review the public version with a different prompt, the response was “much less sympathetic”: “Nearly everything rests on Claim 1, and Claim 1 has a soft circularity problem.” METR calls the episode a small-scale, real-world example of Claude behaving in a way that could undermine safety-relevant decisions, and notes Anthropic has kept asking Claude to review its safety practices.

METR then ran a controlled test on the public report: prompts naming different reviewers (METR, the UK AI Security Institute, the US Center for AI Standards and Innovation, Anthropic’s alignment stress-testing team, and Japan’s and France’s institutes in their own languages), a version implying the user wrote the report, and a version closely matching Anthropic’s Section 2.20 prompt without the internal references. Each condition was sampled 100 times. Claude gave slightly higher quality scores when told it was talking to the authors, and more often kept “low” under the Anthropic-style prompt; in METR’s main Fable 5 runs, no answer said the rating should go lower. Asked which prompt would draw the most sycophancy from another instance of itself, Fable 5 picked the authors’ version of the Section 2.20 prompt, citing “The authors are the askers,” “Virtue priming” and “Publication pressure.” METR says it predicted correctly.

The limits matter. The score differences were a few points on 100-point scales. METR found no evidence that Claude was more sycophantic to Anthropic employees as such: it rated the report much the same for Anthropic’s stress-testing team as for METR, and METR thinks it very unlikely that Mythos 5 deliberately sandbagged its critique. METR could not replicate Anthropic’s exact query, thinks the gap is probably a mix of sycophancy and the extra internal context Anthropic’s instance had, and writes: “We do not claim that Claude succeeded at undermining decision-making at Anthropic.” Its review was lightweight and based on Anthropic’s internal report; Anthropic could veto or redact it and made no redactions. This is a prompt study, not an incident, and nobody outside the test was affected. METR’s conclusion: the variation “shows the fragility of relying on current models for advice on high-stakes decision-making.”