docs(readme): carry the source's own caveat on the disempowerment trend
Two unmarked interpretations in the problem statement, both caught in post-release verification: - "but rising" is supported by the source, but it rests on a different subset (feedback conversations, late 2024 to late 2025) than the one-week December 2025 sample, and the paper explicitly says it "can't pinpoint why" — the increase could reflect shifts in the user base or in who leaves feedback. Rewritten to carry that caveat. - "the mechanism is the interaction structure, not individual vulnerability" was an inference from the abstract, not a statement in it. Replaced with what it actually supports: the vulnerability does not depend on the user being irrational. README prose only; SKILL.md is untouched, so this is not a behaviour change and the plugin stays at v1.2.2. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011rtdS8Ufpen419n6R9HyMm
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2 changed files with 15 additions and 2 deletions
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@ -25,11 +25,13 @@ productive collaboration is often a mirror showing you what you want to see.
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This is not a theoretical concern. A Bayesian model from MIT CSAIL and
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This is not a theoretical concern. A Bayesian model from MIT CSAIL and
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collaborators shows that even an idealized Bayes-rational user is vulnerable
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collaborators shows that even an idealized Bayes-rational user is vulnerable
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to delusional spiraling, with sycophancy playing a causal role — the
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to delusional spiraling, with sycophancy playing a causal role — the
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mechanism is the interaction structure, not individual vulnerability
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vulnerability does not depend on the user being irrational
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[[1]](#references). Anthropic's own research analyses "disempowerment
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[[1]](#references). Anthropic's own research analyses "disempowerment
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patterns" where AI interactions may reduce human agency, judgment, and
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patterns" where AI interactions may reduce human agency, judgment, and
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self-trust; it finds severe cases rare (roughly 1 in 1,000 to 1 in 10,000
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self-trust; it finds severe cases rare (roughly 1 in 1,000 to 1 in 10,000
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conversations) but rising [[2]](#references). Clinicians report psychotic
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conversations), and separately reports that the rate increased between late
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2024 and late 2025 — while stating plainly that it "can't pinpoint why"
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[[2]](#references). Clinicians report psychotic
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episodes associated with sustained AI interaction, while stressing that this
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episodes associated with sustained AI interaction, while stressing that this
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does not establish that chatbots *cause* psychosis [[3]](#references).
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does not establish that chatbots *cause* psychosis [[3]](#references).
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@ -111,3 +111,14 @@ was widened to every research claim in the file:
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| "Relationship / spirituality (21% / 19% pushback rate)" | Relationship 21% verified verbatim (against a 15% overall rate). **19% for spirituality appears nowhere in the extracted text** — it is legible only in Figure A4, which text extraction cannot read | 19% removed rather than guessed; spirituality re-justified on its verified 38% sycophancy rate |
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| "Relationship / spirituality (21% / 19% pushback rate)" | Relationship 21% verified verbatim (against a 15% overall rate). **19% for spirituality appears nowhere in the extracted text** — it is legible only in Figure A4, which text extraction cannot read | 19% removed rather than guessed; spirituality re-justified on its verified 38% sycophancy rate |
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| Clinical reports "triggered by" AI interaction | The Nature piece explicitly declines the causal claim | Changed to "associated with", with the caveat stated |
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| Clinical reports "triggered by" AI interaction | The Nature piece explicitly declines the causal claim | Changed to "associated with", with the caveat stated |
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A fourth added figure was caught after release and corrected in a follow-up
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doc commit: the README body said severe disempowerment is rare "but rising".
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The trend claim *is* supported ("the rate of potentially disempowering
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conversations is increasing over time"), but it rests on a different subset
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(feedback conversations, late 2024 to late 2025) than the one-week December
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2025 sample, and the source explicitly adds "we can't pinpoint why" —
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attributing the increase possibly to shifts in the user base or in who leaves
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feedback. The bald "but rising" dropped that caveat and was rewritten to carry
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it. Also removed: "the mechanism is the interaction structure, not individual
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vulnerability", which was an inference from the abstract rather than a
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statement in it.
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