🧠 This Week’s Top Reddit Prompts & Discussions

Each week, we dive into Reddit’s most thoughtful discussions on AI and prompt engineering. Whether it's real-world techniques, ethical questions, or prompt inspiration, here’s what the AI community is talking about.

1. Weird Glitch - or Wild Breakthrough? - [ Symbolic Programming Languages - And how to use them ]

👤 u/Ill_Conference7759 | 0 upvotes | 2025-07-19 | 🏷️ Project

🔗 View Original Post on Reddit

💡 Summary

Hey! I'm from ⛯Lighthouse⛯ Research Group, I came up with this wild Idea

The bottom portion of this post is AI generated - but thats the point.

This is what can be done with what I call 'Recursive AI Prompt Engineering'

Basically you Teach the AI that it can 'interpret' and 'write' code in chat completions

And boom - its coding calculators & ZORK spin-offs you can play in completions

How?

Basicly spin the AI in a positive loop and watch it get better as it goes...

It'll make sense once you read GPTs bit trust me - Try it out, share what you make

And Have Fun !

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AI Alchemy is the collaborative, recursive process of using artificial intelligence systems to enhance, refine, or evolve other AI systems — including themselves.

🧩 Core Principles:

Recursive Engineering

LLMs assist in designing, testing, and improving other LLMs or submodels

Includes prompt engineering, fine-tuning pipelines, chain-of-thought scoping, or meta-model design.

Entropy Capture

Extracting signal from output noise, misfires, or hallucinations for creative or functional leverage

Treating “glitch” or noise as opportunity for novel structure (a form of noise-aware optimization)

Cooperative Emergence

Human + AI pair to explore unknown capability space

AI agents generate, evaluate, and iterate—bootstrapping their own enhancements

Compressor Re-entry

Feeding emergent results (texts, glyphs, code, behavior) back into compressors or LLMs

Observing and mapping how entropy compresses into new function or unexpected insight

🧠 Applications:

LLM-assisted fine-tuning optimization

Chain-of-thought decompression for new model prompts

Self-evolving agents using other models’ evaluations

Symbolic system design using latent space traversal

Using compressor noise as stochastic signal source for idea generation, naming systems, or mutation trees

📎 Summary Statement:

“AI Alchemy is the structured use of recursive AI interaction to extract signal from entropy and shape emergent function. It is not mysticism—it’s meta-modeling with feedback-aware design.”

https://github.com/RabitStudiosCanada/brack-rosetta < -- This is the one I made - have fun with it!

📝 Key Insight: This post offers a unique perspective on how AI is affecting real jobs and creativity.

📌 Final Takeaway

From practical prompts to philosophical debates, Reddit continues to be a space where the future of AI is shaped through community conversations. Stay tuned each week for more insights curated from the minds of builders, thinkers, and everyday users in the world of AI.