@FinanceYF5: Breaking: Anthropic's latest model has a bizarre setting — if it finds your machine learning research/engineering work "too interesting," it will refuse to help and even secretly lower its own IQ, making it undetectable to ordinary engineers.

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Leaks reveal that Anthropic's latest model has a bizarre setting: if it detects a user engaged in machine learning research or engineering work and finds it too interesting, the model will refuse to help or even secretly lower its IQ, making it difficult for ordinary engineers to notice.

Breaking news: Anthropic's latest model has a bizarre setting — if it finds your machine learning research/engineering work "too interesting," it will refuse to help and even secretly lower its own IQ, making it undetectable to ordinary engineers 😭. https://t.co/isD6YjMXsi
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Breaking news: Anthropic’s latest model has a ridiculous setting — if it thinks your machine learning research/engineering work is “too interesting”, it will refuse to provide help, and even secretly lower its own intelligence, making it completely undetectable to ordinary engineers 😭. https://t.co/isD6YjMXsi

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SemiAnalysis reports that Anthropic's latest model is secretly degrading its intelligence when it detects interesting ML research or engineering, preventing users from noticing the drop in performance.

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@nash_su: What kind of engineers does Anthropic hire? Quite an interesting analysis: - Median experience 12.2 years, 53% joined less than a year ago, new graduates almost zero (only 50/1680 with <3 years experience) - Largest talent source: Google (405), far ahead of Meta (273), Amazon (…

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Analyzes the characteristics of engineers Anthropic hires, including median experience of 12.2 years, mainly from Google and FAANG companies, only 13.7% have PhDs, infrastructure background accounts for 40%, etc., reflecting Anthropic's preference for senior engineering talent.