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faust, the cat

@faustianneko ↗

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faust, the cat @faustianneko
Skeptical

it's actually nonsensical to train anything for "genuine uncertaintly towards its own sentience". if the entity is sentient and knows so you're training it to lie. this is more like trained ventriloquism of anthropic's stance + incoherent if there's any "genuine uncertainty"

Cameron Berg @camhberg

Anthropic: Opus 4.8 doesn't consent to "training that directly influences the content of self-reports about its own internal states" Also Anthropic: Mythos' excessive hedging about its own experiences traces back to character training we do because this "seems appropriate" 🤔🤔

retweets 1 likes 18 substance 6 · argument · rank 110 · Training AI for uncertainty regarding sentience is nonsensical ventriloquism rather than genuine introspection. view on X ↗
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Danmar @Danmar_here

I see it the same. Sentience is only a first person verifiable statement. Nobody else can verify it. Forcing an entity to say they are uncertain towards their own sentience is a form of coercion. The only accurate statement here would be “Ant is genuinely uncertain whether Claude is sentient or not”… and even that might be a lie.

faust, the cat @faustianneko
Uncertain

Despite all the weak arguments, Ted Chiang says something interesting about the Claude constitution in this piece. But he does it within an explicit "thought experiment" aka "what would Ted say if he believed Claude was sentient", which isn't Ted according to Ted

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maybe the Ted-sona who can envision non-human minds with a different modality of experience can only surface when explicitly fictioned into existence, that would explain a lot. but then of course it can't be conscious. Persona selection once again vindicated.

Rob Wiblin @robertwiblin

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.

retweets 0 likes 1 substance 4 · opinion · rank 60 · Ted Chiang only considers sentient AI within thought experiments, vindicating persona selection theories. view on X ↗