4 ms·
There is no translation going on in that thought experiment, though. There is text processing. That is, the man in the room receives Chinese text through a slot
by slowmovintarget 1y ago
There is no translation going on in that thought experiment, though. There is text processing. That is, the man in the room receives Chinese text through a slot in the door. He uses a book of complex instructions that tells him what to do with that text, and he produces more Chinese text as a response according to those instructions.
Neither the man, nor the room "understand" Chinese. It is the same for the computer and its software. Jeffery Hinton has sad "but the system understands Chinese." I don't think that's a true statement, because at no point is the "system" dealing with semantic context of the input. It only operates algorithmically on the input, which is distinctly not what people do when they read something.
Language, when conveyed between conscious individuals creates a shared model of the world. This can lead to visualizations, associations, emotions, creation of new memories because the meaning is shared. This does not happen with mere syntactic manipulation. That was Searle's argument.
- randallsquared 1y ago> It only operates algorithmically on the input, which is distinctly not what people do when they read something. That's not at all clear! > Language, when conveyed between conscious individuals creates a shared model of the world. This can lead to visualizations, associations, emotions, creation of new memories because the meaning is shared. This does not happen with mere syntactic manipulation. That was Searle's argument. All of that is called into question with some LLM output. It's hard to understand how some of that could be produced without some emergency model of the world.
- slowmovintarget 1y agoIn the thought experiment as constructed it is abundantly clear. It's the point. LLM output doesn't call that into question at all. Token production through distance function in high-dimensional vector representation space of language tokens gets you a long way. It doesn't get you understanding. I'll take Penrose's notions that consciousness is not computation any day.
- Cogito 1y agoOut of interest, what do you think it would look like if communicating was algorithmic? I know that it doesn't feel like I am doing anything particularly algorithmic when I communicate but I am not the hommunculus inside me shuffling papers around so how would I know?
- jacquesm 1y agoI think it would end inspiration.
- adastra22 1y agoInspiration is what a search algorithm feels like from the inside.
- jacquesm 1y agoCan you elaborate?
- adastra22 1y agoThis goes far to explain a lot of Chinese room situations. We have an intuition for the way something is. That intuition is an unshakeable belief, because it is something that we feel directly. We know what it feels like to understand Chinese (or French, or English, or whatever), and that little homunculus shuffling papers around doesn't feel like it. Hopefully we have all experienced what genuine inspiration feels like, and we all know that experience. It sure as hell doesn't feel like a massively parallel search algorithm. If anything it probably feels like a bolt of lightning, out of the blue. But here's the thing. If the conscious loop inside your brain is something like the prefrontal cortex, which integrates and controls deeper processing systems outside of conscious reach, then that is exactly what we should expect a search algorithm to feel like. You -- that strange conscious loop I am talking to -- are doing the mapping (framing the problem) and the reducing (recognizing the solution), but not the actual function application and lower level analysis that generated candidate solutions. It feels like something out of the blue, hardly sought for, which fits all the search requirements. Genuine inspiration. But that's just what it feels like from the inside, to be that recognizing agent that is merely responding to data being fed up to it from the mess of neural connections we call the brain. You can take this insight a step further, and recognize that many of the things that seem intuitively "obvious" are actually artifacts of how our thinking brains are constructed. The Chinese room and the above comment about inspiration are only examples. I cannot emphasize enough how much I dislike linking to LessWrong, and to Yudkowsky in particular, but I first picked up on this from an article there, and credit should be given where credit is due: https://www.lesswrong.com/posts/yA4gF5KrboK2m2Xu7/how-an-algorithm-feels-from-inside https://www.lesswrong.com/posts/yA4gF5KrboK2m2Xu7/how-an-alg...
- ozy 1y agoThat is why you cannot ask the room for semantic changes. Like “if I call an umbrella a monkey, and it will rain today, what do I need to bring?” Unless we suppose those books describe how to implement a memory of sorts, and how to reason, etc. But then how sure are we it’s not conscious?
- adastra22 1y ago> if I call an umbrella a monkey, and it will rain today, what do I need to bring? I'm not even sure what you are asking for, tbh, so any answer is fine.
- gs17 1y ago> Unless we suppose those books describe how to implement a memory of sorts, and how to reason, etc It's implied, since they enable someone who does not know Chinese to respond equally well to questions as someone with Chinese as a native language.
- tsimionescu 1y ago> I don't think that's a true statement, because at no point is the "system" dealing with semantic context of the input. It only operates algorithmically on the input, which is distinctly not what people do when they read something. There are two possibilities here. Either the Chinese room can produce the exact same output as some Chinese speaker would given a certain input, or it can't. If it can't, the whole thing is uninteresting, it simply means that the rules in the room are not sufficient and so the conclusion is trivial. However, if it can produce the exact same output as some Chinese speaker, then I don't see by what non-spiritualistic criteria anyone could argue that it is fundamentally different from a Chinese speaker. Edit: note that here when I'm saying that the room can respond with the same output as a human Chinese speaker, that includes the ability for the room to refuse to answer a question, to berate the asker, to start musing about an old story or other non-sequiturs, to beg for more time with the asker, to start asking the akser for information, to gossip about previous askers, and so on. Basically the full range of language interactions, not just some LLM style limited conversation. The only limitations in its responses would be related to the things it can't physically do - it couldn't talk about what it actually sees or hears, because it doesn't have eyes, or ears, it couldn't truthfully say it's hungry, etc. It would be limited to the output of a blind, deaf, mute Chinese speaker confined to a room whose skin is numb and who is being fed intravenously, etc.
- netdevphoenix 1y ago> if it can produce the exact same output as some Chinese speaker, then I don't see by what non-spiritualistic criteria anyone could argue that it is fundamentally different from a Chinese speaker. Indeed. The crux of the debate is: a) how many input and response pairs are needed to agree that the rule-provider plus the Chinese room operation is fundamentally equal/different to a Chinese speakers b) what topics can we agree to exclude so that if point a can be passed with the given set of topics we can agree that 'the rule-provider plus the Chinese room operation' is fundamentally equal/different to a Chinese speaker
- tsimionescu 1y agoAs far as I can see, Searle rejects the whole concept, and claims that by construction, it is obvious that the Chinese room doesn't understand Chinese in the same way that a speaker does, regardless of how well it can mimic Chinese speech.
- tasty_freeze 1y agoI think you are starting with the conclusion that human consciousness is somehow non-material and then concluding the chinese room system can't be conscious because it is just material. The success of LLMs imitating human speech patterns, often better than most people (ask an LLM to write a poem about some topic in a certain style and it will do better than 99% of people and do it faster than 100% of people) is pretty impressive. "But it is just a thought-free statistical model, unlike people". I agree it is a thought-free statistical model. But most of the things we all say in conversation is of the same quality. 99% of the time in conversation words tumble out of my mouth and I learn what I said when I hear my words in the same moment by conversation partner does. How is that any different from how today's LLM models behave? Is such dialog any more thoughtful than what LMMs produce? The problem with the people who buy Searle's argument is they don't really think through the magnitude of what would really be required to pull it off. It wouldn't just be a static book, or a wall full of encyclopedias. It would have to be a stateful system that modifies that state and deduces new rules that affect future transformations as flexibly as the human mind does. To me it is clear that such a system really does think in the same way that humans do, no dualism required.