Раскрыты подробности о договорных матчах в российском футболе18:01
Commission aims to tackle poverty in county
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Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
“Agent经济学”能否成立，2026年将是关键验证窗口。如果企业开始愿意为AI Agent支付真金白银，而非仅仅将其视为“效率工具”或“成本中心”，那么中下游企业的估值修复将带来巨大的投资机会。反之，如果AI Agent始终停留在“试点项目”阶段，无法实现商业化落地，上游硬件股的估值压缩将远未结束。