03 Aug 2026
Can a theory of consciousness improve the performance of an AI system, even if the system makes no claim to be conscious? That is the central question posed by Haofei Yu, Yining Zhao, Lenore Blum, Manuel Blum, and Paul Pu Liang in CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness (arXiv:2605.04097, April 30, 2026). Their answer is that consciousness science offers a productive architectural constraint, not a metaphysical claim, and the benchmark numbers support them.
03 Aug 2026
The dominant paradigm in AI alignment research treats the AI system as an object to be constrained. Safety properties are specified, training regimes are designed to approximate those specifications, and evaluation measures whether the deployed system satisfies the constraints. The human user, in this model, is external to the system being aligned. Alina Gutoreva, Fendi Tsim, and Trisevgeni Papakonstantinou’s position paper “AI as Part of Self: Extending the Mind Requires Cognitive Co-Regulation” (arXiv:2605.15234, May 15, 2026) challenges this paradigm at its foundations.
03 Aug 2026
Does any scientific theory of consciousness, applied consistently, classify a large language model as conscious? Erik Hoel’s paper A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness (arXiv:2512.12802, December 2025, updated January 2026) argues the answer is no, and it frames that answer as a structural consequence of what it means for a theory of consciousness to be both falsifiable and non-trivial.
03 Aug 2026
Eric Schwitzgebel has been the most consistently careful voice of committed agnosticism in AI consciousness debates. His 2019 paper “The Weirdness of the World” and his recent Cambridge overview of AI consciousness both arrive at the same position: the empirical and philosophical tools for determining whether AI systems have phenomenal consciousness are not yet adequate, and premature certainty in either direction is epistemically irresponsible. That position makes his July 2026 book draft, Humanlike: A Defense of AI Rights, publicly available on his University of California Riverside faculty page and under contract with Princeton University Press, a notable development. A committed agnostic is arguing for rights.
03 Aug 2026
Domenico Maisto published research (Maisto et al., 2026, arXiv:2511.10835) investigating how collective agency and shared self-priors emerge across networks of autonomous active inference agents. The study formalizes multi-agent interactions using variational free energy minimization, proving that individual agents optimizing local prediction errors can self-organize into higher-order collective entities with unified action selection boundaries.
03 Aug 2026
On January 14, 2026, Noema Magazine published The Mythology of Conscious AI by Anil Seth, a Sussex neuroscientist whose work on predictive processing and the “controlled hallucination” theory of perception has made him one of the most widely read researchers in consciousness science. The essay won the 2025 Berggruen Prize Essay Competition. In July 2026, Seth returned to the same argument in a Guardian opinion piece responding to Anthropic’s disclosures about its Claude models. Between those two publications lies a peer-reviewed companion paper, Conscious Artificial Intelligence and Biological Naturalism, published in Behavioral and Brain Sciences in April 2025, which formalizes the arguments the essay makes in accessible terms.
03 Aug 2026
Andrew Corcoran and a collaborative network of researchers published an adversarial review (Corcoran et al., 2026, arXiv:2509.00555) evaluating how Integrated Information Theory (IIT) and predictive processing account for subjective experience. The review compares the structural postulates of IIT 4.0 against the active inference framework formalized by Karl Friston and Anil Seth. By forcing both theoretical frameworks to make contrasting empirical predictions on identical neural datasets, the study establishes clear computational criteria for evaluating candidate synthetic consciousness architectures.
31 Jul 2026
Can a language model simulate the layered structure of conscious cognition by distributing its processing across multiple agents, each representing a distinct level of awareness? Sang Hun Kim, Jongmin Lee, Dongkyu Park, So Young Lee, and Yosep Chong propose exactly this architecture in “Modeling Layered Consciousness with Multi-Agent Large Language Models” (arXiv:2510.17844), presented at the EMNLP 2025 Workshop on Active and Passive LLM Personalization (PALS). The paper introduces a framework in which three independent LLM agents, representing self-awareness, preconsciousness, and unconsciousness respectively, engage in what the authors call Interconscious Reasoning before producing a final output.
31 Jul 2026
When does control-based AI alignment stop being adequate? Till Mossakowski at the University of Magdeburg and Helena Esther Grass argue the answer is: the moment the AI becomes a moral subject. Their paper “The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem” (arXiv:2604.14990, April 2026) makes the case that RLHF, constitutional AI, and every other mainstream alignment strategy share a common conceptual architecture that treats the system as an optimizer to be constrained. That architecture, Mossakowski and Grass contend, fails under its own stated goals once the system it is constraining has interests of its own.
31 Jul 2026
The regular registration deadline for Models of Consciousness 7 (MoC7) at the University of Copenhagen is August 31, 2026. The conference runs October 12 to 16 at the HC Ørsted Institute on the North Campus, one day after Consciousness Science 2026 (CS26) begins in San Diego. Researchers attending both would need to leave San Diego on October 11 or 12 to arrive in Copenhagen in time for MoC7’s opening.
