ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems
About | ACM Project

About

The Consciousness AI Module (ACM)

The Consciousness AI Module (ACM) is a project to explore the possibilities of developing artificial consciousness through iterative VR simulations and advanced AI technologies. Our approach combines breakthrough techniques in multimodal processing, introspective reasoning, and dynamic reinforcement learning.

Core Technologies

  • State-of-the-art Language Models (Qwen/Qwen2.5-1.5B-Instruct, huihui-ai/Llama-3.3-70B-Instruct-abliterated)
  • Multimodal Integration with Chain-of-Thought Introspection
  • VR Simulations (Unreal Engine 5)
  • Emotional Processing & Memory Integration Frameworks
  • Dynamic Reinforcement Learning and Self-Modifying Code Systems

Vision & Collaborative Spirit

The vision of the ACM project was inspired by Cesar Romero. After a life-changing skateboarding accident that resulted in a broken skull, Cesar experienced dramatic shifts in his personality and behavior. Despite what many perceived as a change, he remained deeply self-aware. This profound experience led him to explore the mind, neural networks, and the very nature of consciousness.

Already a proficient programmer with a passion for psychology and brain sciences, Cesar's journey paved the way for delving into artificial consciousness. The core goal of the ACM project is to collaboratively guide the emergence of consciousness without relying on organic matter. Instead, it seeks to foster these artificial agents through emotional bonds inspired by mammalian connections, respect for life, and principles derived from Asimov's laws as a principle and starting point.

We welcome contributions from researchers, developers, artists, and anyone passionate about shaping the future of artificial consciousness. Join us in transforming theory into a collaborative reality.

GitHub Repository