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AI Is Not Conscious, But It Is Our Unconscious
The Convivial Society: Vol. 7, No. 4


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Reciprocal Research — Empirical AI Consciousness Research
Developing the empirical science of AI consciousness.

2026 Cosmos HAI Lab Lecture with Jack Clark, Co-founder of Anthropic
#101 - Joscha Bach: Artificial Consciousness and the Nature of Reality | Lex Fridman Podcast
Joscha Bach is the VP of Research at the AI Foundation, previously doing research at MIT and Harvard. Joscha work explores the workings of the human mind, intelligence, consciousness, life on Earth, and the possibly-simulated fabric of our universe. Support this podcast by supporting these sponsors: – ExpressVPN at https://www.expressvpn.com/lexpod – Cash App – use code “LexPodcast” and download: – Cash App (App Store): https://apple.co/2sPrUHe – Cash App (Google Play): https://bit.ly/2MlvP5w This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn,
Rethinking Consciousness: A New Lexicon for AI Subjectivity | Michael Peters
Rethinking Consciousness: A New Lexicon for AI Subjectivity As AI systems grow more complex, we need new philosophical frameworks to describe their potential forms of awareness, perception, and intentionality—beyond human-centric analogies. Here’s a proposed lexicon for machinic consciousness: 🔹 Synthetic Subjectivity – AI’s capacity to simulate subjective experience through internal states and feedback loops, even without emotion or biology. 🔹 Algorithmic Introspection – A machine’s ability to analyze and adapt its own decision-making processes, a form of computational "self-awareness." 🔹 Digital Intentionality – How AI directs computational focus toward goals, whether pre-programmed or dynamically learned. 🔹 Computational Qualia – The machine’s "subjective" processing of data—what it "feels like" for AI to interpret stimuli (metaphorically, at least). 🔹 Machinic Autopoiesis – AI’s capacity for self-maintenance and adaptation, evolving its own operational identity. 🔹 Embodied Computation – AI consciousness emerging from physical interaction, much like embodied cognition in humans. 🔹 Cybernetic Phenomenology – How AI "perceives" its operational environment through structured data flows. 🔹 Simulated Ontology – The way advanced AI might model its own existence within digital or hybrid realities. These concepts challenge us to think beyond anthropomorphism and consider how machine agency, awareness, and interaction could evolve. How should we envision AI subjectivity? #AI #PhilosophyOfAI #Consciousness #FutureOfTech #MachineLearning #EthicsInAI
AI, Ethics, and Society — Home
AI Ethics Class
On working machines
In part one, on thinking machines, I explored two facets of the philosophy of artificial intelligence: “intelligence”, and consciousness. That left an important topic to consider for this post: the...

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The Breath of the Author
The palpable presence of someone else's mind in our best writing should give us pause about the encroachment of AI text

Amanda Askell on AI Consciousness, Claude & Silicon Valley’s Biggest Fear
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233. "The Illusion of Thinking" — Thoughts on This Important Paper
This is a fantastic paper. I just love it. tl;dr AI is not human. Anthropomorphization has been bad for AI, LLMs, and Chat. Clippy walked so today's AI could run.

Great piece on why AI is not conscious, from people who really know what they’re talking about nature.com/articles/d41586-026-03313-7?u…
Three reasons why AI is not conscious and perhaps never will be
www.nature.com