@swyx: ## On Loopcraft One might argue the entire game of the next century is to be able to stack loops as effectively as poss…

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ai-agents loops scale lessons opinion

Summary

A conceptual discussion on the importance of stacking loops in AI agent design, drawing parallels to Sutton's Bitter Lesson and advocating for scalable systems over manual fixes.

## On Loopcraft One might argue the entire game of the next century is to be able to stack loops as effectively as possible. In the early days of each phase, it will be valuable to know when to go **DOWN** a loop when things go wrong (for reliability)… but it will probably be more valuable to know how to go **UP** a loop as models improve (for leverage). If you don’t figure out how to do this, don’t be salty when you lose to those that do.
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On Loopcraft

One might argue the entire game of the next century is to be able to stack loops as effectively as possible.

In the early days of each phase, it will be valuable to know when to go DOWN a loop when things go wrong (for reliability)…

but it will probably be more valuable to know how to go UP a loop as models improve (for leverage).

If you don’t figure out how to do this, don’t be salty when you lose to those that do.

Latent.Space (@latentspacepod): [AINews] Loopcraft: The Art of Stacking Loops

@RichardSSutton has his “Bitter Lesson” for models. We now have the Salty Lesson for agents:

Don’t fix things yourself, as you have done historically.

Instead focus on systems that scale with more agents, like goals and

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