Holographic Filesystem combined with my ACE Cognitive Enhancer [LLM]



AI Summary

Summary of Video Transcript

Overview

  • The video presents a system developed over many months, designed to enhance the capabilities of language learning models (LLMs).
  • The system uses an “adaptive capacity elicitation” methodology and is particularly effective with a platform called Lord.
  • The system, referred to as “Hollow FS” or “Holographic File System,” is shared for free.

System Features

  • The system includes several stages: priming, comprehension tracking, context clarification, and recursive ascension.
  • It aims to prevent LLMs from “hallucinating” by managing the output through a virtual file system.
  • The system allows for file operations like create, write, append, read, list, and delete.

Holographic File System (HFS)

  • HFS is a virtual file system that doesn’t require Linux knowledge and operates in a hybrid conversational mode.
  • It’s called “holographic” because the files don’t persist after the conversation ends.
  • The system can be advantageous for generating varied prompts for image generation due to its non-fixed, fuzzy data.

Demonstration

  • The creator demonstrates the system by generating detailed prompts for AI image generation.
  • The process involves creating directories and files, defining priorities, and iterating through stages to refine prompts.
  • The system can list, read, and delete files within the virtual file system.

Improvements and Usage

  • A second version of the script, “Ace Hol FS V3 prom,” is introduced, tailored for creating image prompts.
  • The system can generate prompts for various tasks, not limited to image generation.
  • It includes natural language review rules and output directives for better quality prompts.

Future Potential

  • The system could be further developed to use deterministic LLMs for consistent outputs.
  • It could lead to AI-generated system drivers from a seed, allowing for runtime holographic projection.

Conclusion

  • The system is shared as a prototype for others to experiment with and adapt.
  • It features advanced garbage collection to ensure clean outputs and prevent the AI from being confused by its own outputs.

Instructions and Tips

  • No specific CLI commands, website URLs, or detailed instructions were provided in the summary.