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On Monday 6/15, I'm hosting a workshop to kick off a reading group for classic essays: RSVP here.

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Letters for machine training

· 100 words

Part of my process in building Essay Architecture is writing thousands of words for machines. Basically, it’ll run hundreds of prompts, rollup the results, and point me to areas where the AI scores most diverge from my own. I read them in detail, and as I notice errors in its thinking, I’ll just write paragraph of prose to explain why it’s oversimplifying or over-converging. I then feed these notes back into AI, discuss, and then have it refine its own prompts based on its new understanding (which I then review, edit, and clarify). I’m noticing that instead of writing the prompts to determine how it should think, it’s better than I describe all the nuances and then let it determine how to implement.