The bigger picture goal here is to explore using prompts to generate new prompts
I see this as the same as a reasoning loop. This is the approach I use to quickly code up pseudo reasoning loops on local projects. Someone had asked in another thread "how can I get the LLM to generate a whole book", well, just like this. If it can keep prompting itself to ask "what would chapter N be?" until "THE END", then you get your book.
The last commit is from April 2023, should this post maybe have a (2023) tag? Two years is eons in this space.
I love this! My take on it for MCP: https://github.com/kordless/EvolveMCP
This is kind of like a self generating agentic context.. cool. I think regular agents, especially adversarial agents, are easier to get focused on most types of problems though.
Still clever.
I feel that often getting LLMs to do things like mathematical problems or citation is much harder than simply writing software to achieve that same task.
Trying to save state in a non-deterministic system, not the best idea. Those things need to be externalised.
Excellent fun. Now just to create a prompt to show iterated LLMs are turing complete.
LLM quine when?
Should definitely get a date tag.
"Foundational AI companies love this one trick"
It's part of why they love agents and tools like cursor -> turns a problem that could've been one prompt and a few hundred tokens into dozens of prompts and thousands of tokens ;)