Credit: Timothy Beck Werth / Mashable
Our cartoonist on the north London derby and some uncomfortable truths for the interim Spurs manager
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Зеленскому стали чаще желать смерти02:42
GSK awarded Emma Walmsley a near-50% pay rise to £15.6m in her final year as chief executive of Britain’s second-biggest drugmaker.
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cmake: Don't use tabs in CMakeLists.txt
We propose sycophancy leads to less discovery and overconfidence through a simple mechanism: When AI systems generate responses that tend toward agreement, they sample examples that coincide with users’ stated hypotheses rather than from the true distribution of possibilities. If users treat this biased sample as new evidence, each subsequent example increases confidence, even though the examples provide no new information about reality. Critically, this account requires no confirmation bias or motivated reasoning on the user’s part. A rational Bayesian reasoner will be misled if they assume the AI is sampling from the true distribution when it is not. This insight distinguishes our mechanism from the existing literature on humans’ tendency to seek confirming evidence; sycophantic AI can distort belief through its sampling strategy, independent of users’ bias. We formalize this mechanism and test it experimentally using a rule discovery task.，推荐阅读电影获取更多信息