然后是刘威，前IBM沃森研究中心研究科学家，担任AI Lab计算机视觉中心总监。
随着Anthropic与美国国防部就其技术可能被用于大规模监控以及开发自主武器的问题发生争执，近期其服务的使用量明显上升。五角大楼已将Anthropic认定为供应链风险，对一家美国公司采取前所未有的行动，可能对其业务带来深远影响。Anthropic称，自1月以来Claude的免费用户数量增长逾60%，付费订阅用户自去年10月以来增加逾一倍。
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Mosiuoa Lekota was hailed as a "patriot and freedom fighter" by the South African president
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Now back to reality, LLMs are never that good, they're never near that hypothetical "I'm feeling lucky", and this has to do with how they're fundamentally designed, I never so far asked GPT about something that I'm specialized at, and it gave me a sufficient answer that I would expect from someone who is as much as expert as me in that given field. People tend to think that GPT (and other LLMs) is doing so well, but only when it comes to things that they themselves do not understand that well (Gell-Mann Amnesia2), even when it sounds confident, it may be approximating, averaging, exaggerate (Peters 2025) or confidently (Sun 2025) reproducing a mistake. There is no guarantee whatsoever that the answer it gives is the best one, the contested one, or even a correct one, only that it is a plausible one. And that distinction matters, because intellect isn’t built on plausibility but on understanding why something might be wrong, who disagrees with it, what assumptions are being smuggled in, and what breaks when those assumptions fail