▲四家钢铁企业近十年毛利率走势图，来源：Wind
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。WPS官方版本下载对此有专业解读
。关于这个话题，电影提供了深入分析
人工智能进一步降低创业门槛，为社会注入更多创新活力。“目前，初创企业发展仍面临法律、技术、服务等瓶颈。需进一步完善法律法规，明确权益保障机制。”罗卫红代表建议，“可以探索设立备案制，允许以‘个人+AI资产’作为轻资产备案，享受政策扶持并降低合规成本。”，更多细节参见PDF资料
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