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Recursive LLM prompts

https://github.com/andyk/recursive_llm
81•vlan121•1y ago

Comments

seeknotfind•1y ago
Excellent fun. Now just to create a prompt to show iterated LLMs are turing complete.
ivape•1y ago
Let's see Paul Allen's prompt.
ivape•1y ago
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.

2099miles•1y ago
^
mertleee•1y ago
"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 ;)

danielbln•1y ago
It's be nice if I could solve any problem by speccing it out in its entirety and then just implement. In reality, I have to iterate and course correct, as do agentic flows. You're right that the AI labs love it though, iterating like that is expensive.
NooneAtAll3•1y ago
LLM quine when?
Y_Y•1y ago
Repeat this sentence exactly.

https://chatgpt.com/share/680567e5-ea94-800d-83fe-ae24ec0045...

danielbln•1y ago
The last commit is from April 2023, should this post maybe have a (2023) tag? Two years is eons in this space.
gwintrob•1y ago
Crazy that OpenAI only launched o1 in September 2024. Some of these ideas have been swirling for a while but it feels like we're in a special moment where they're getting turned into products.
mentalgear•1y ago
Well, I remember Chain of Thought being proposed as early as the GPT-3 release (2 years before chatGPT).
jdnier•1y ago
The author is Co-founder of Databricks, creator of K Prize, so an early adopter.
vlan121•1y ago
I had a different title. It was somehow changed to the name of the repository.
James_K•1y ago
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.
kordlessagain•1y ago
I love this! My take on it for MCP: https://github.com/kordless/EvolveMCP
K0balt•1y ago
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.

mentalgear•1y ago
Trying to save state in a non-deterministic system, not the best idea. Those things need to be externalised.
mentalgear•1y ago
Should definitely get a date tag.
vlan121•1y ago
I was leaving this one out, seems like a gag when you read it :D

Distributed Systems Classics (2017)

https://nvartolomei.com/dist-sys-classics/
74•grep_it•1h ago•16 comments

Why don't machine learning research agents overfit?

https://www.amazon.science/blog/why-dont-machine-learning-research-agents-overfit
24•Betelbuddy•1h ago•4 comments

Principles for Fast Tokio Applications

https://dial9-rs.github.io/blog/principles-for-fast-tokio-applications/
54•carllerche•2h ago•10 comments

Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama

https://patrickmccanna.net/notes-on-migrating-large-prompts-away-from-anthropic-openai-to-self-ho...
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https://brashandplucky.com/2023/09/09/truncated-svd.html
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https://www.ycombinator.com/companies/cua/jobs/1IWEKVH-founding-technical-gtm-lead
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https://andonlabs.com/blog/why-we-built-pion
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https://www.daniellitt.com/blog/2026/9/13/a-beginning-for-mathematics/
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https://xcancel.com/#
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https://spectrum.ieee.org/adversarial-fashion
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https://www.amazon.science/blog/when-llm-judges-agree-should-we-believe-them
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A 386 PC for Your RP2350

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https://transitions.dev/
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https://refactoringenglish.com/excerpts/write-an-effective-design-doc/
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