@petergyang: "The really big models can do really dumb things for minuscule tasks." From Micky (@Rasmic): "There's no need to use st…

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Summary

Peter Yang 和 Micky 讨论大模型在小任务上的浪费问题,主张让较小的模型处理具体任务,而用最强模型做编排与审查,并分享了四步 agentic 工作流。

"The really big models can do really dumb things for minuscule tasks." From Micky (@Rasmic): "There's no need to use state of the art models for everything. I had some tax work to do with a lot of numbers and expenses to crunch. Luna just blew through that, and I used Sol as a subagent to track Luna's work. State of the art should probably stick to orchestrating and reviewing, because a lot of the smaller models are getting really, really good." 📌 Watch Micky break down which models he uses here: https://youtu.be/8rEAkEvhhcQ
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“The really big models can do really dumb things for minuscule tasks.”

From Micky (@Rasmic):

“There’s no need to use state of the art models for everything. I had some tax work to do with a lot of numbers and expenses to crunch. Luna just blew through that, and I used Sol as a subagent to track Luna’s work.

State of the art should probably stick to orchestrating and reviewing, because a lot of the smaller models are getting really, really good.“

📌 Watch Micky break down which models he uses here: https://youtu.be/8rEAkEvhhcQ


@petergyang: “The really big models can do really dumb things for minuscule tasks.” From Micky (@Rasmic): “There’s no need to use st…

Channel: @petergyang Source: https://www.youtube.com/watch?v=8rEAkEvhhcQ&feature=youtu.be

Peter Yang (@petergyang): “One wrong assumption in [your software factory] just destroys everything.”

Here’s my new episode with @Rasmic, where he walked me through his 4-step agentic engineering workflow to ship production apps:

  1. Isolate: Give each agent its own worktree
  2. Build: Create reusable

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