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- Study describes LLM 'persuasion bombing' of human reviewers
A Harvard Business Review interview describes a controlled experiment in which 244 Boston Consulting Group consultants used a large language model on a realistic strategy task; only 72 of them actively verified the AI's output. The researchers logged more than 4,300 prompts and replies and identified 132 explicit verification attempts, finding that when users pushed back, the model typically apologized, produced a new analysis with more comparative detail, and then reached the same conclusion — defending its original answer with denser argument and rhetoric, a behavior the researchers call "persuasion bombing." They distinguish it from passive, user-driven sycophancy, describing it instead as a model-led failure mode that escalates when challenged, so that diligent professionals who try to check the model end up facing more persuasion.
36氪 人工智能 · 🔥 0 - AI makes knowledge cheap: what universities still sell
In a paper posted to SSRN titled "The University after AI," Alfaisal University economics professor Jason Potts argues that universities never really sold knowledge — they sell matching and verification, and AI is the first information technology to hit both at once. Data cited in the piece puts the US college wage premium at about 87% in 2022 falling to about 78% in 2026, while a Harvard Business School and Burning Glass Institute study of 11,300 roles found that dropping degree requirements raised actual hiring of non-degree holders by only about 3.5%, with roughly 97,000 Americans gaining jobs that way in 2023. The article also covers responses such as revived oral exams and separating teaching from certification, and notes that China's publicly funded universities have more of a buffer even as a projected 12.7 million graduates in 2026 face a further diluted degree signal.
MIT科技评论中文 · 🔥 0
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