Arthur Yau

36 posts

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Arthur Yau

Arthur Yau

@imitation_alpha

ML SWE @Google. Building AI agents, retrieval, and eval loops. Writing the AI Agent Stack series

Katılım Temmuz 2025
433 Takip Edilen34 Takipçiler
Arthur Yau
Arthur Yau@imitation_alpha·
10/ My current mental model: Building AI agents is becoming less like prompting a chatbot and more like designing a computer system. The key question is not only: “How smart is the model?” It is: “What architecture surrounds it?”
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Arthur Yau
Arthur Yau@imitation_alpha·
1/AI agents are not “LLMs with tools.” A better analogy: An AI agent is like a computer system. The LLM is the CPU. Context is RAM/cache. Memory is SSD/database. Tools are peripherals. The harness is the OS + motherboard. Once you see this, agent design becomes clearer.
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Kinton
Kinton@kintoncheung·
Someone should make an LLM that reads all contents from a Discord channel, and then respond to your Qs based on those msgs. there's lots of alpha and tips shared in Discord channels (ex: polymarket discord) but hard to read through all of them.
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