当AI能够以趋近于零的成本生成文本、代码和视觉素材时,个体的溢价能力体现在如何将复杂的业务需求拆解为AI可理解的逻辑结构,即“提示工程(Prompt Engineering)”的直觉化应用 [4, 22]。此外,跨行业技能的融合成为上升的捷径,例如,非技术背景的行政人员利用AI进行初级数据建模,或非设计人员生成专业级的营销内容,这种“跨界替代”能力在2026年具有极高的市场需求 [4, 25]。
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The real annoying thing about Opus 4.6/Codex 5.3 is that it’s impossible to publicly say “Opus 4.5 (and the models that came after it) are an order of magnitude better than coding LLMs released just months before it” without sounding like an AI hype booster clickbaiting, but it’s the counterintuitive truth to my personal frustration. I have been trying to break this damn model by giving it complex tasks that would take me months to do by myself despite my coding pedigree but Opus and Codex keep doing them correctly. On Hacker News I was accused of said clickbaiting when making a similar statement with accusations of “I haven’t had success with Opus 4.5 so you must be lying.” The remedy to this skepticism is to provide more evidence in addition to greater checks and balances, but what can you do if people refuse to believe your evidence?
第一百零六条 为了查明案情,需要解决案件中有争议的专门性问题的,应当指派或者聘请具有专门知识的人员进行鉴定;鉴定人鉴定后,应当写出鉴定意见,并且签名。