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thanks very much :)

problem with your theory is it bundles 2-3 steps which each could be their own theses

suggest you nail those down before building up to a general bundle (or mental model/framework)





Ah, I probably should have listed some of the "assumptions" I'm developing it on top of:

1) Regarding the "generation is how learning occurs" claim, I'm going off of this:

https://www.learningscientists.org/blog/2024/3/7/how-does-re...

Granted, that article refers to retrieval specifically being one major way we learn, and of course learning incorporates many dimensions. But it seems a bit self-evident that retrieval occurs heavily during active problem solving (ie "generation"), and less so during passive learning (ie: just reading/consuming info).

From personal experience, I always noticed I learned much more by doing than by consuming documentation alone.

But yes, I admit this assumption and my own personal experience/bias is doing a lot of heavy lifting for me...

2) Regarding the "optimal AI productivity process" (AI Generates > Human Validates > Loop)

I'm using Karpathy's productivity loop described in his AI startup school talk last month here:

https://youtu.be/LCEmiRjPEtQ?t=1327

Does this help make it more concrete Swyx (name dropping you here since I'm pretty sure you've got a social listener set for your handle ;)? Love to hear your thoughts straight from the hip based on your own personal experiences.

Full disclosure: I'm not trying to get too academic about this. In all honestly I'm really trying to get to an informal theory that's useful and practical enough that it can be turned into a regular business process for rapid professional development.




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