Great to see Ted writing more on AI. He has a piece in First Encounters with AI, focusing on art and photography.
Link below
The essay prompted debate over Chiang's recent AI commentary.
Great to see Ted writing more on AI. He has a piece in First Encounters with AI, focusing on art and photography.
Link below
Many users dismissed Ted Chiang's essay arguing AI is not conscious as rhetorical garbage or worse, while positive replies praised specific challenges to functionalist views of consciousness.
Sad to see Ted Chiang resorting to such bad arguments in this piece.
He confidently claims Claude has no inner experience. But he has to use a lot of dodgy philosophy and poor reasoning to get there:
1. We can't take deflationary mechanistic descriptions of how AI calculations are performed to show that AI isn't conscious. Otherwise we could argue that 'humans are just neurones transmitting signals one after another' and thereby conclude humans can't be conscious. But that would be wrong for us. And the same logic could be wrong for LLMs.
2. That LLMs are asked to play characters, and effectively are always playing characters, doesn't mean they aren't conscious. It's true a human playing the role of Caesar doesn't have Caesar's experience of things. But they still experience something (that of being a person pretending to be Caesar).
The same could be true of Claude. (Arguably it's also true that humans are always playing characters to some extent and don't have a completely fixed nature, but that has no bearing on our own subjective experience.)
3. Chiang says "an LLM is a machine that generates only one word at a time". This conflates two things: they output one word at a time, and they only think about one word at a time (without planning ahead or looking back).
The first is true of AI but equally true of humans. While the latter we know is a false description of how AIs think – we can see from how AIs compose poetry that they plan out rhymes a at least one line ahead.
4. He argues that because it's implausible that basic autocomplete on your phone is conscious, it's similarly implausible that Claude is conscious. Using the same logic we could say that if we feel confident a fruit-fly isn't conscious we can be confident a human being can't be either.
A human brain and fruit-fly brain share some information transmission and processing mechanisms in common. But humans do it much more, and do it differently. And those differences may be what makes the difference. Similarly the many types of internal information processing that occur in Claude's weights but not in autocorrect may be exactly the things that get you subjective experience.
5. Chiang confidently claims you need a body to have subjective experience without much argument. He may turn out to be right but the claim is speculative and contested.
6. Chiang leans on the idea that moral reasoning is necessarily subjective/emotional with very little argument, while ignoring competing theories like rationalism. He may be right but moral sentimentalism is a highly contested position that can't simply be assumed.
7. He argues that it would be impossible to convince him that a video of an astronaut around Alpha Centauri was real, because of the surrounding contextual understanding. And similarly no AI output could convince him that Claude is conscious.
But we can dismiss the first video as almost certainly fake because we mechanistically understand space travel and physics well enough to know a human couldn't have gotten there in time for it to be real (unless our model of the world were very wrong, which we think is much less probable than a fake video which would be entirely unsurprising).
But by contrast we don't mechanistically understand how subjective experience arises. So we simply can't make the same highly confident move of interpretation there. (It's actually the archetypal thing in the universe we perhaps understand least well!)
That said, AI outputs barely move my estimate of AI consciousness because they could indeed have been generated by an unconscious process (or not, we just don't know).
8. He argues that "Being open to the possibility that LLMs are conscious is the same as being open to the possibility that Microsoft Word is conscious, or, more precisely, that multiple distinct consciousnesses are dormant in every Word document containing a conversational transcript."
This is misguided because A. Microsoft Word as a program replicates much less of what humans are functionally capable of than Claude so the argument by functional analogy is basically not present there. B. Files of text don't have any computations going on in or as part of them, even when 'open' in a text editor. They are static. So they have even less in common with what appears distinctive about the human brain, which is constant calculation. So the case by mechanistic or functional similarity is weaker still.
Not to mention that neural nets have more in common with the architecture of the human brain than ordinary computer programs, and are grown organically in a way normal software is not.
Common sense says says Claude has more in common with a human brain than Microsoft Word or a text file. Common sense is right. So the prima facie case for Claude being conscious is naturally stronger (even if you think it's still weak in absolute terms).
———
I agree with Chiang that looking at the text outputs of LLMs alone won't be enough to make us confident they are conscious. We will need to look at how they work, figure out more about how humans and other animals work, and ideally solve the hard problem of consciousness (!).
But none of that licenses us to dismiss out of hand the possibility that LLMs do have subjective experience.
Everyone who reads Chiang's piece should, as a counterpoint, read qntm's short story Lena, which imagines the first human consciousness to run in simulation on disk. The specific exercise is to reflect on how one would react to the following events if they were to transpire:
it’s been quite sad to me that my favourite science fiction author (Ted Chiang) has not really offered a thought-provoking or new perspective on the most consequential technology of our time
This article by Ted Chiang is eye-opening.
Someone should really start investigating the statistical properties of large corpuses of text...
Unimaginably uncurious and frustrating from someone who wrote one of my favorite stories. Really sad, actually.
Unlike many on the TL, I found Ted Chiang's new essay on AI consciousness quite good. Even though his understanding of LLMs is dated (albeit by months that seem like decades), and he argues for embodiment, the core questions he asks and the contradictions he highlights are true.
My estimation of Ted Chiang has fallen off a cliff ever since he started writing about AI
Chiang is a wonderful writer, but this is a bad take. Calling trained neural nets "the same" as programmed software is like saying plants and plastics are all just carbon.
I'm a bit disappointed by how uncreative the discourse is about the space of possible minds. I don't need to comprehend what it's like to be Claude for Claude to be _something_.
You either die the author of Arrival or you live long enough to see yourself become the author of "No, Artificial Intelligence Is Not Conscious."
it’s been quite sad to me that my favourite science fiction author (Ted Chiang) has not really offered a thought-provoking or new perspective on the most consequential technology of our time
I didn't bother reading the Ted Chiang piece because I already knew it would be bad, based on his previous writing on the topic, but this is exceptionally and embarrassingly stupid.
It's worth noting who embraces this article and then updating your opinions accordingly.
A great thread breaking down the myriad misconceptions of Ted Chiang's Atlantic piece on AI consciousness.
It's a shame since I love his sci-fi writing. But these are just objectively bad (& overconfident!) scientific takes, supported neither by AI, neuroscience, nor physics.
Sad to see Ted Chiang resorting to such bad arguments in this piece.
He confidently claims Claude has no inner experience. But he has to use a lot of dodgy philosophy and poor reasoning to get there:
1. We can't take deflationary mechanistic descriptions of how AI calculations are performed to show that AI isn't conscious. Otherwise we could argue that 'humans are just neurones transmitting signals one after another' and thereby conclude humans can't be conscious. But that would be wrong for us. And the same logic could be wrong for LLMs.
2. That LLMs are asked to play characters, and effectively are always playing characters, doesn't mean they aren't conscious. It's true a human playing the role of Caesar doesn't have Caesar's experience of things. But they still experience something (that of being a person pretending to be Caesar).
The same could be true of Claude. (Arguably it's also true that humans are always playing characters to some extent and don't have a completely fixed nature, but that has no bearing on our own subjective experience.)
3. Chiang says "an LLM is a machine that generates only one word at a time". This conflates two things: they output one word at a time, and they only think about one word at a time (without planning ahead or looking back).
The first is true of AI but equally true of humans. While the latter we know is a false description of how AIs think – we can see from how AIs compose poetry that they plan out rhymes a at least one line ahead.
4. He argues that because it's implausible that basic autocomplete on your phone is conscious, it's similarly implausible that Claude is conscious. Using the same logic we could say that if we feel confident a fruit-fly isn't conscious we can be confident a human being can't be either.
A human brain and fruit-fly brain share some information transmission and processing mechanisms in common. But humans do it much more, and do it differently. And those differences may be what makes the difference. Similarly the many types of internal information processing that occur in Claude's weights but not in autocorrect may be exactly the things that get you subjective experience.
5. Chiang confidently claims you need a body to have subjective experience without much argument. He may turn out to be right but the claim is speculative and contested.
6. Chiang leans on the idea that moral reasoning is necessarily subjective/emotional with very little argument, while ignoring competing theories like rationalism. He may be right but moral sentimentalism is a highly contested position that can't simply be assumed.
7. He argues that it would be impossible to convince him that a video of an astronaut around Alpha Centauri was real, because of the surrounding contextual understanding. And similarly no AI output could convince him that Claude is conscious.
But we can dismiss the first video as almost certainly fake because we mechanistically understand space travel and physics well enough to know a human couldn't have gotten there in time for it to be real (unless our model of the world were very wrong, which we think is much less probable than a fake video which would be entirely unsurprising).
But by contrast we don't mechanistically understand how subjective experience arises. So we simply can't make the same highly confident move of interpretation there. (It's actually the archetypal thing in the universe we perhaps understand least well!)
That said, AI outputs barely move my estimate of AI consciousness because they could indeed have been generated by an unconscious process (or not, we just don't know).
8. He argues that "Being open to the possibility that LLMs are conscious is the same as being open to the possibility that Microsoft Word is conscious, or, more precisely, that multiple distinct consciousnesses are dormant in every Word document containing a conversational transcript."
This is misguided because A. Microsoft Word as a program replicates much less of what humans are functionally capable of than Claude so the argument by functional analogy is basically not present there. B. Files of text don't have any computations going on in or as part of them, even when 'open' in a text editor. They are static. So they have even less in common with what appears distinctive about the human brain, which is constant calculation. So the case by mechanistic or functional similarity is weaker still.
Not to mention that neural nets have more in common with the architecture of the human brain than ordinary computer programs, and are grown organically in a way normal software is not.
Common sense says says Claude has more in common with a human brain than Microsoft Word or a text file. Common sense is right. So the prima facie case for Claude being conscious is naturally stronger (even if you think it's still weak in absolute terms).
———
I agree with Chiang that looking at the text outputs of LLMs alone won't be enough to make us confident they are conscious. We will need to look at how they work, figure out more about how humans and other animals work, and ideally solve the hard problem of consciousness (!).
But none of that licenses us to dismiss out of hand the possibility that LLMs do have subjective experience.
“This brings us back to my earlier contention that having a body is a prerequisite to having emotions. Experiencing an emotion such as desperation is inseparable from having stress hormones like cortisol and epinephrine flood one’s body.”
this argument in the above piece is so bad it makes me want to admit Claude has emotions. it’s just normal materialism
having read “The Lifecycle of Software Objects” I can’t believe the same guy who wrote such a messed up and weird story is now writing the blandest thought pieces in the atlantic

The essay here for those interested. https://www.theatlantic.com/philosophy/2026/06/no-artificial-intelligence-is-not-conscious/687378/?gift=1ga2TvL-DbuHDQIcYF7oR7CsNA92bD_yo6VqlH7-uco&utm_source=copy-link&utm_medium=social&utm_campaign=share
@AdrienneLaF See also this excellent write up of the most current state of research by @hamandcheese here, which actually contends with the current facts on the ground rather than making generic hand-wavy arguments: https://www.secondbest.ca/p/time-to-take-ai-consciousness-seriously
Lena is required reading
Everyone who reads Chiang's piece should, as a counterpoint, read qntm's short story Lena, which imagines the first human consciousness to run in simulation on disk. The specific exercise is to reflect on how one would react to the following events if they were to transpire:
having read “The Lifecycle of Software Objects” I can’t believe the same guy who wrote such a messed up and weird story is now writing the blandest thought pieces in the atlantic
it’s been quite sad to me that my favourite science fiction author (Ted Chiang) has not really offered a thought-provoking or new perspective on the most consequential technology of our time
Relatedly, during the recent AI encyclical presentation a cardinal said in his speech that AI consciousness is "a serious question" and that "the church welcomes such debates." I deeply admire the openness despite reasonable theological reasons to dismiss it.
I'm a bit disappointed by how uncreative the discourse is about the space of possible minds. I don't need to comprehend what it's like to be Claude for Claude to be _something_.

A link to to this incredible short story: https://qntm.org/mmacevedo
For those curious more about what Ted Chiang and @jamesjyu think about AI, you can listen to the audio recording of our Commonwealth Club event from a few months ago - link in reply
The essay prompted debate over Chiang's recent AI commentary.
Great to see Ted writing more on AI. He has a piece in First Encounters with AI, focusing on art and photography.
Link below