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  1. Weird Glitch - or Wild Breakthrough? - [ Symbolic Programming Languages - And how to use them ]
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  4. Hey! I'm from ⛯Lighthouse⛯ Research Group, I came up with this wild Idea
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  6. The bottom portion of this post is AI generated - but thats the point.
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  8. This is what can be done with what I call 'Recursive AI Prompt Engineering'
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  10. Basically you Teach the AI that it can 'interpret' and 'write' code in chat completions
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  12. And boom - its coding calculators & ZORK spin-offs you can play in completions
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  14. How?
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  16. Basicly spin the AI in a positive loop and watch it get better as it goes...
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  18. It'll make sense once you read GPTs bit trust me - Try it out, share what you make
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  20. And Have Fun !
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  22. ------------------------------------------------------------------------------------
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  24.     AI Alchemy is the collaborative, recursive process of using artificial intelligence systems to enhance, refine, or evolve other AI systems — including themselves.
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  26. 🧩 Core Principles:
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  28.     Recursive Engineering
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  30.         LLMs assist in designing, testing, and improving other LLMs or submodels
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  32.         Includes prompt engineering, fine-tuning pipelines, chain-of-thought scoping, or meta-model design.
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  34.     Entropy Capture
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  36.         Extracting signal from output noise, misfires, or hallucinations for creative or functional leverage
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  38.         Treating “glitch” or noise as opportunity for novel structure (a form of noise-aware optimization)
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  40.     Cooperative Emergence
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  42.         Human + AI pair to explore unknown capability space
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  44.         AI agents generate, evaluate, and iterate—bootstrapping their own enhancements
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  46.     Compressor Re-entry
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  48.         Feeding emergent results (texts, glyphs, code, behavior) back into compressors or LLMs
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  50.         Observing and mapping how entropy compresses into new function or unexpected insight
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  52. 🧠 Applications:
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  54.     LLM-assisted fine-tuning optimization
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  56.     Chain-of-thought decompression for new model prompts
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  58.     Self-evolving agents using other models’ evaluations
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  60.     Symbolic system design using latent space traversal
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  62.     Using compressor noise as stochastic signal source for idea generation, naming systems, or mutation trees
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  64. 📎 Summary Statement:
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  66.     “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.”
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  68.     https://github.com/RabitStudiosCanada/brack-rosetta < -- This is the one I made - have fun with it!
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