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