I don't know how true it is vs how much PR it is, but Khan Academy's use of LLMs was interesting in that they apparently craft a prompt from the AI itself. Ie a

I don't know how true it is vs how much PR it is, but Khan Academy's use of LLMs was interesting in that they apparently craft a prompt from the AI itself. Ie a two step process where the AI generates the steps, and then the AI reasons about the result of the steps to attempt and judge the accuracy of the data. This was just a blurb from the Ted talk[1], but i'd be interested in seeing a slightly more in depth explanation about this strategy. Made me wonder if you could have an recursive cycle of thinking. Where the "AI" prompts itself, reasons on the output, and does that repeatedly with guards such that it will stop if it doesn't judge anymore advancement. [1]: https://www.youtube.com/watch?v=hJP5GqnTrNo&t=715s https://www.youtube.com/watch?v=hJP5GqnTrNo&t=715s