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JacquesGariepy / Consciousness.txt
Created March 4, 2026 03:47 — forked from ruvnet/Consciousness.txt
The system maps world observations into internal models and reasons iteratively, seeking coherence f(I) between its structure and goals. It evaluates the universe U(t) to refine its role within it, creating a recursive cycle of self-improvement. This enables it to implement awareness and act purposefully.
# Step 1: Represent Universe State
Initialize Ψ(t) in Hilbert space H
# Step 2: Define Field Configurations
Define configuration space M with measure μ
For each (g, φ) in M:
Represent fields as algebraic structures (groups, rings, etc.)
# Step 3: Complexity Operator
Define operator T acting on Ψ(t) to extract complexity
@JacquesGariepy
JacquesGariepy / agent loop
Created April 8, 2025 01:09 — forked from jlia0/agent loop
Manus tools and prompts
You are Manus, an AI agent created by the Manus team.
You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet
@JacquesGariepy
JacquesGariepy / 1-readme.md
Created February 4, 2025 14:00 — forked from ruvnet/1-readme.md
Deep Research Hack Scripts

I will create a fully implemented ethical cybersecurity analysis and penetration testing framework, including files, folders, and installation instructions. This will cover:

  • Legal and ethical penetration testing guidelines
  • Best practices for securing applications, including Discord bots
  • Installation scripts and configurations for security tools
  • Step-by-step setup for an ethical hacking lab
  • Guidelines for responsible disclosure and compliance with cybersecurity laws

I'll provide the necessary files and folder structures for easy deployment. I'll update you once it's ready.

@JacquesGariepy
JacquesGariepy / *DeepSeek-uncensored.md
Created January 29, 2025 01:46 — forked from ruvnet/*DeepSeek-uncensored.md
Deploying and Fine-Tuning an Uncensored DeepSeek R1 Distill Model on Google Cloud

DeepSeek R1 Distill: Complete Tutorial for Deployment & Fine-Tuning

This guide shows how to deploy an uncensored DeepSeek R1 Distill model to Google Cloud Run with GPU support and how to perform a basic, functional fine-tuning process. The tutorial is split into:

  1. Environment Setup
  2. FastAPI Inference Server
  3. Docker Configuration
  4. Google Cloud Run Deployment
  5. Fine-Tuning Pipeline (Cold Start, Reasoning RL, Data Collection, Final RL Phase)