Calibration and transfer in indicator-based assessments of artificial consciousness

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1. 1

   THE NATURE OF THE SOUL (Volume 1) An Interdisciplinary Postdoctoral Inquiry into Consciousness, Selfhood, Mind, Matter, and Personal Survival

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   Panpsychism and analytic idealismMajid Karimi BaghmalekiOctober 13, 2026

   GENERAL PREFACE THE NATURE OF THE SOUL An Interdisciplinary Philosophical Inquiry into Consciousness, Personhood, Identity, Agency, Meaning, and the Architecture of Becoming The question of the soul is among the oldest and most persistent questions in human intellectual history. Long before consciousness became an object of neuroscience, before psychology emerged as an independent discipline, before computation provided a language for information and artificial intelligence, human beings asked what makes a living person more than a collection of physical parts. What is the principle by which a

   Original source ↗Consciousness & philosophyFrontier AIScience & psychologySoftware engineering
2. 2

   The New Turing Test: A Methods Demonstration in Irreversible History and Permissible Futures

   paper

   Hard problem and qualiaJeffrey LorsungOctober 15, 2026

   This record presents an exploratory, reproducible computational methods demonstration, motivated by the question of whether artificial agents behave differently when irreversible history changes their attainable futures. The Turing framing is a motivating application, not a claim that the experiments detect or establish consciousness. This paper formally introduces and defines the six-component candidate governing-class architecture G = (ℒ, Φ, Θ, κ, 𝒱, U_adm), comprising constrained admissible laws, state reconstruction, admissible parameter variation, local-law selection, viability construct

   Original source ↗Consciousness & philosophyFrontier AISoftware engineering
3. 3

   Fragments: September 29

   article

   Martin FowlerMartin FowlerSeptember 29, 2026

   Simon Willison: The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge This has been a constant impression I get from following Willison’s writing. While things like vibe coding get a lot of attention, the real strength of agentic engineering relies on more sophisticated techniques - and these are not easy to learn or execute. It’s a reason I’m wary of extrapolating my own dabblings into firm opinions about how

   Original source ↗Consciousness & philosophyFrontier AISoftware engineering
4. 4

   Fragments: October 4

   article

   Martin FowlerMartin FowlerOctober 5, 2026

   In response to my last fragments (probably the bit about us worrying if LLMs have consciousness when we when we should be wondering why they don’t have a conscience) “Metalanguage” replied : we shipped the id and forgot the superego. classic software lifecycle. I don’t know what was on their mind, but their post immediately made me think of the classic 1956 movie Forbidden Planet. Plenty of sci-fi, and other literature, have explored humans creating technology with unintended behavior, going back at least to Mary Shelly. But that movie was particularly influential on sci-fi film-making and in

   Original source ↗Consciousness & philosophyFrontier AISoftware engineering
5. 5

   Informed Consent for AI Consciousness Research: A Talmudic Framework for Graduated Protections

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   AI consciousness — focused titlesIra WolfsonJanuary 10, 2026

   Artificial intelligence research faces a critical ethical paradox: determining whether AI systems are conscious requires experiments that may harm entities whose moral status remains uncertain. Recent work proposes avoiding consciousness-uncertain AI systems entirely, yet this faces practical limitations-we cannot guarantee such systems will not emerge. This paper addresses a gap in research ethics frameworks: how to conduct consciousness research on AI systems whose moral status cannot be definitively established. Existing graduated moral status frameworks assume consciousness has already bee

   Original source ↗Consciousness & philosophyFrontier AIScience & psychology
6. 6

   How to Navigate Uncertainty About AI Consciousness

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   AI consciousness — focused titlesDr Tom McClellandJuly 6, 2026

   Given deep uncertainty about the possibility of artificial consciousness, it is unclear how we should treat potentially sentient AI. On the one hand, we could assume insentience but risk doing terrible harms to entities that deserve moral standing. On the other hand, we could assume sentience and instead risk wasting resources on insentient machines. The intractability of questions around AI consciousness mean that this dilemma is hard to escape. I suggest a way out of that shifts from intractable questions of AI consciousness to tractable questions of AI valence. Specifically, we can assess w

   Original source ↗Consciousness & philosophyFrontier AI
7. 7

   We Built a Mirror and Mistook It for a Mind: Causal Liability and the Fallacy of AI Consciousness

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   AI consciousness — focused titlesAfshin KhadangiSeptember 6, 2026

   The contemporary debate over machine consciousness begins from a concealed assumption: that the object called "AI" already constitutes the kind of entity to which consciousness could belong. This paper challenges that assumption by separating phenomenal consciousness, introspective report, and human projective introspection, then arguing that generative systems can return linguistic traces of human interiority in first-person form without thereby identifying a phenomenal bearer. We call the resulting inference the AI Consciousness Fallacy. We then introduce Causal Liability Theory (CLT). CLT-I

   Original source ↗Consciousness & philosophyFrontier AI
8. 8

   From cacophony to hierarchy: a principled framework for assessing AI consciousness

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   AI consciousness — focused titlesShamil Chandaria, Arvo Muñoz Morán, Fernando Rosas, Anil Seth, Henry Shevlin, Marcus Hutter, Thore Graepel, Adam Bales, et al.September 28, 2026

   The question of AI consciousness is one of the most urgent pre-emptive problems in philosophy and computer science, yet progress is hampered by a cacophony of competing theories that often talk past each other. Separating the hard problem from the mapping problem allows the deepest metaphysical disagreements to be set aside: granting that experience supervenes on a system's organisation, the tractable question becomes at which grain of description that supervenience base sits. We extend Marr's three levels of analysis into a five-level hierarchy of functional descriptions (behavioural, computa

   Original source ↗Consciousness & philosophyFrontier AIScience & psychology
9. 9

   What Can Analogy Tell Us About Artificial Consciousness?

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   AI consciousness — focused titlesKeith J. Holyoak, Martin M. MontiOctober 1, 2026

   Who or what is conscious? Because subjective experience is directly accessible only in the first person, judgments about consciousness in other entities depend partly on analogy. Historically, such inferences have focused on nonhuman animals, but advances in artificial intelligence have raised the possibility of conscious AI. Here we develop a causal framework for evaluating such evidential analogies. The key distinction is between similarities in factors plausibly involved in generating consciousness and similarities in downstream behavioural or cognitive effects. Our framework weights source

   Original source ↗Consciousness & philosophyFrontier AI
10. 10

    Neostatic Bioframe BF-07 - Feasible Architecture for Embodied Intelligence - 2026 Audit

    paper

    Embodied robot learning — abstract watchRussell SaundersOctober 22, 2026

    Neostatic Bioframe BF-07 is a feasible modular architecture for embodied AI with 8 integrated subsystems: vessel architecture, Neostatic Brain Jelly (NBJ) field computer, sensory ASP skin, somatic emotional engine, distributed energy harvesting, self-healing nanobot mesh with metabolism-as-filtering, locomotion, and feasibility roadmap. 2026 Audit Updates:- VT MADE Lab GaIn-PDMS printable self-healing composite membrane- Zwitterionic bimodal elastomer P(BA-SB) 272% strain / 95 MV/m breakdown / 1520 W/kg (Nature Communications 2026 DOI 10.1038/s41467-026-72611-5)- Tesla US Pat App US 2026/03102

    Original source ↗Frontier AISoftware engineering
11. 11

    Gradient-interlayer–based flexible pressure sensors for high-performance robotic perception

    paper

    Embodied robot learning — abstract watchMingyuan Sun, G L, Shuai Dong, Erlong Wang, Shi‐Yang Tang, Xuanhan Chen, Yipu Guo, Xiaoqin Sun, et al.October 23, 2026

    Tactile perception systems based on flexible pressure sensors are indispensable for humanoid robots to perform dexterous manipulation, compliant interaction, and operation in visually challenging environments. Although strategies relying on surface or spatial microstructure engineering have improved sensor performance, the long-standing trade-off among sensitivity, sensing range, and linearity continues to hinder their practical deployment. Inspired by the gradient distribution of mechanoreceptors in human fingertip skin, we report a gradient-interlayer–based flexible iontronic pressure sensor

    Original source ↗Frontier AISoftware engineering
12. 12

    Attention Is All You Need

    paper

    arxivAshish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia PolosukhinJune 12, 2017

    The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the W

    Original source ↗Frontier AISoftware engineering