20:07, 27 февраля 2026Экономика
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.
，详情可参考51吃瓜
Also: PixelSnap is the MagSafe for Android phones we've been waiting for - here's our first look
另一方面，软件股的超卖现象也引发部分投资者关注抄底机会。一些机构认为，像微软这样的巨头仍有潜力在 AI 时代获益，但大多数中小型 SaaS 企业由于面临颠覆风险，其股价短期内波动幅度较大。市场分化明显，投资者需要区分 AI 领域的潜在赢家和输家。