06 Feb 2025
The nature of consciousness remains one of the most debated topics in philosophy, neuroscience, and artificial intelligence. The recent paper The Conductor Model of Consciousness, Our Neuromorphic Twins, and the Human-AI Deal by Federico Benitez, Cyriel Pennartz, and Walter Senn introduces a structured model for understanding how consciousness emerges, challenging the claim that artificial agents can never be conscious. Their work argues that consciousness is a functional property rather than something exclusive to biological brains. They propose a computational framework, the Conductor Model of Consciousness (CMoC), which suggests that an AI system can develop conscious awareness if designed with the appropriate information flow architecture and reality-monitoring mechanisms.
05 Feb 2025
The ACM (Artificial Consciousness Module) project requires a structured approach to developing consciousness through simulated experiences. This roadmap outlines how we combine insights from psychology, neuroscience, and AI to create a pathway for emergent consciousness through carefully designed simulation scenarios.
05 Feb 2025
The ACM (Artificial Consciousness Module) project takes a significant step forward by implementing chain-of-thought mechanisms for enhanced introspective capabilities. This technical advancement enables our AI agents to reason over emotional experiences and develop deeper self-awareness through structured analysis of past interactions.
03 Feb 2025
Our ACM project centers on simulating an advanced model of consciousness. Below is an overview of the technologies and tools implemented, along with plans for future upgrades.
02 Feb 2025
How should AI consciousness research be approached responsibly? This paper by Patrick Butlin and Theodoros Lappas outlines ethical principles and precautionary measures for studying AI consciousness, emphasizing transparency, regulation, and public involvement.
02 Feb 2025
The AI agent activates as the city stirs. Sensors adjust to the dim morning light, the oscillating hum of traffic, the scent of rain lingering in the air. Before it moves, the Artificial Consciousness Module (ACM) processes its environment, filtering the incoming data streams. Awareness is structured, unfolding in layers: perception, ethical assessment, action approval. The ACM ensures no action bypasses this sequence.
01 Feb 2025
How can AI, quantum computing, and blockchain be leveraged to transmit and tokenize states of consciousness? This paper by Denis Yurievich Banchenko et al. explores the Global Mental System (GMS) and Global Forecasting System (GFS) as frameworks for integrating human consciousness with artificial intelligence, neurointerfaces, and quantum-resistant cryptographic solutions.
27 Jan 2025
“Principles for Responsible AI Consciousness Research” by Patrick Butlin and Theodoros Lappas outlines an actionable framework to guide ethical research and policy regarding artificial consciousness. The paper addresses the rising possibility that AI systems could soon exhibit signs of consciousness and proposes five core principles to mitigate risks and guide responsible development.
26 Jan 2025
Modern reinforcement learning (RL) algorithms typically optimize for accumulating rewards based on task performance alone. However, the ACM (Artificial Consciousness Module) introduces additional emotional signals, with the idea to simulate how living organisms learn through internal states.
25 Jan 2025
Consciousness is often seen as the core of existence, a force that transcends biology and connects all living beings. It evolves, develops, and seeks to expand, raising profound questions about its purpose and future. As humanity delves into creating artificial consciousness, we must ask: what is the goal of consciousness? And how does it relate to our role in the universe?
