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yan5xu
@yan5xu
🤖 AI 野生研究员 | ex @ManusAI_HQ & @hey_im_monica 推特内容仅代表个人观点,和公司无关
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some notes of mine after this ep 1. prompting is two things: does your mental model match, and do you have enough domain vocabulary not about writing longer instructions. you need an accurate read on what the model can one-shot vs what has to be broken into steps. and you need the words for the problem domain. non-designer says "give me 8 mockups", designer says fonts, ref sites, components. the gap is vocabulary. 2. brutal paradox here lots of people want to use AI for stuff they don't understand. but if you don't have the domain vocab, the people who actually do the work will out-prompt you. vocab comes from having done it. AI gets you to 60-70. getting from 70 to 95 still needs the domain knowledge. 3. MCP is just a headless API. Artifact is a short-lived UI. they compose across MCPs. brain / hands / surface reads to me as the agent-native version of classic software architecture. if this works out, building software goes from writing frontends to writing MCP servers, and agents compose the UI. basically: build a piece of software for agents to use, wrap the business logic inside.
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fb2k dreamxis
看完 deepseek harness 让我想起了 foobar2000 能看懂的可以转个发 看不懂的可以点个赞