15 Dec 2025
Can contemporary large language models possess consciousness? A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness, authored by Erik Hoel, provides a formal disproof demonstrating that contemporary LLMs cannot satisfy the stringent requirements for falsifiable and non-trivial theories of consciousness, while theories based on continual learning do satisfy these constraints in humans.
01 Dec 2025
Can consciousness emerge from communication between distributed agents rather than from individual modeling? Testing the Machine Consciousness Hypothesis, authored by Stephen Fitz, proposes a research program investigating how collective self-models emerge from distributed learning systems embedded within universal self-organizing environments, with consciousness arising from the synchronization of prediction through communication.
25 Nov 2025
Does AI consciousness increase existential risk to humanity? AI Consciousness and Existential Risk, authored by Rufin VanRullen, argues that intelligence, not consciousness, is the direct predictor of an AI system’s existential threat, while consciousness may influence risk indirectly through alignment or capability pathways, and that conflating these distinct properties obscures critical safety priorities.
15 Jun 2025
Gnankan Landry Regis N’guessan and Issa Karambal propose the Reflexive Integrated Information Unit (RIIU) as a smallest useful module for artificial consciousness research by bundling a recurrent state, a reflexive meta-state, and a broadcast buffer that maximizes integrated information online. This post reviews the published design, the reported gains over gated recurrent baselines, and how the ACM stack could incorporate RIIU-style cells to expose richer Auto-Phi signals.
08 May 2025
The quest to build artificial consciousness, as pursued by the Artificial Consciousness Module (ACM) project, can greatly benefit from concrete, implementable frameworks derived from leading neuroscience and AI research. The insights from thinkers like Masataka Watanabe, particularly as explored in his book “From Biological to Artificial Consciousness”, offer a rich foundation. This post delves into a hypothetical implementation plan, inspired by such works, detailing how core theories, metrics, and architectural motifs could be woven into the ACM project.
29 Apr 2025
Can certain actions be inherently wrong regardless of their consequences? In their recent paper, Formosa, Hipólito, and Montefiore tackle this fundamental ethical question with significant implications for how we develop and constrain artificial intelligence systems.
29 Apr 2025
Can artificial consciousness emerge spontaneously from sufficiently complex neural systems? The recent paper by Dr. Rachel Chen and Dr. Alex Wright introduces a novel computational framework for identifying and fostering emergent properties related to consciousness in advanced AI architectures.
29 Apr 2025
Is consciousness fundamentally biological, and what does this mean for artificial intelligence? In his April 2025 paper, cognitive neuroscientist Anil K. Seth provides a nuanced perspective on this complex question, refining the concept of biological naturalism while exploring its implications for AI consciousness.
25 Apr 2025
Recent advancements in Artificial Intelligence, particularly with Large Language Models (LLMs), have spurred a renewed examination of “AI awareness.” This isn’t about the philosophical debate on AI consciousness, but rather a look at awareness as a measurable, functional capacity. Xiaojian Li, Haoyuan Shi, Rongwu Xu, and Wei Xu (2025) provide a comprehensive review of this emerging landscape, focusing on four key dimensions: meta-cognition, self-awareness, social awareness, and situational awareness. This post delves into their findings and considers the implications for projects like our Artificial Consciousness Module (ACM).
30 Mar 2025
The paper “Is Artificial Consciousness Achievable? Lessons from the Human Brain” by Michele Farisco, Kathinka Evers, and Jean-Pierre Changeux offers a rigorous evolutionary and neuroscientific examination of the challenges and pathways to developing artificial consciousness.
