AI硬件应该要承载3方面的功能：1.及时的交流，随时在线；2.依托场景理解的主动式服务，这一点是目前在手机端做不到的；3.持续的协作服务，比如健康管理，感知睡眠、心跳、血压、血氧等，这一点手机端是做不到的，但像戒指这一类AI入口级硬件是有机会的。
Последние новости
。谷歌浏览器【最新下载地址】对此有专业解读
Екатерина Графская (Редактор отдела «Наука и техника»)
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.
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