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As an alternative to Loquebantur's comment, Searle's is trivially reversed: he has no way to demonstrate that he has "semantic" capabilities. On the first hand
by mcguire 4y ago
As an alternative to Loquebantur's comment, Searle's is trivially reversed: he has no way to demonstrate that he has "semantic" capabilities.
On the first hand, all communication is purely syntactic; letters, words, gestures, and every other formulation of communication is the transfer of symbols, which cannot carry semantic information. They can point to it, they can imply it, but you'll have to dance pretty hard to actually prove the transfer of semantic information. If you and I both have some semantic concept associated with the symbol "China" in our mental landscapes, neither I nor you, nor anyone, has any way determining whether that is the same semantic concept. In fact, it almost assuredly isn't, since those semantic concepts would have to be built from our unique personal histories, which are unique.
On the second, the fundamental assumption of semantic communication is that I feel like I have semantic shenanigans going on in my mental life and Searle sort of looks like me, so I should assume that he has semantic stuff going on. Not only is that not a particularly well-founded assumption, I can't even be sure I have semantic contents in my mental life. Introspection isn't exactly reliable, right?
On the third hand, you have a choice: if you do not agree with Penrose, et al, on the quantum nature of the magic of mind, then Searle's "biologically specific powers" are chemistry. Now, I never actually took a chemistry class, but I don't believe there is any chemical reaction that comes with a label of semantics. It's all physics anyway, which I know cannot introduce semantics.
If you do agree with Penrose (which I understand Searle does), the situation is not actually better. Quantum mechanical antics are random, right? Bell's Inequality and all? Being fundamentally, quantum mechanically, random is not in any sense better from a semantic standpoint than being syntactically deterministic.
So my bottom line is that I don't know if I have semantic contents, I absolutely don't know if Searle has semantic contents (and I'm not feeling generous), and I do not know of any way that he could prove to me that he does have "semantic contents". So, yeah.
You notice I only addressed the second paragraph from Searle. That is because the fundamental flaw in his Chinese Room "demonstration" is on obvious display in his final sentence, "The program enables the person in the room to pass the Turing Test for understanding Chinese but he does not understand a word of Chinese"; it is purely, straight up, dualistic. He is asserting that the person in the room has some magic property of "consciousness or intentionality" and that if the person in the room does not have the "semantic capability" of understanding Chinese, then it is impossible despite all evidence that anything in the scenario has the semantic capability of understanding Chinese.
You could put a native Chinese speaker in the room, reading and responding to the inputs, and he claims it would have "consciousness or intentionality"; you then replace her with me (who didn't exactly dazzle at Spanish and Latin) and even if I produce the same outputs in response to the inputs as she does, there is no "consciousness or intentionality". The difference is simply a magic, intangible, imperceptible soul.
Whoo. Went off on that one.
- chongli 4y agoOn the first hand, all communication is purely syntactic All formal communication is syntactic, but not all communication is formal, and not all experiences are acquired via communication. Take the word “pizza”. If you’ve ever seen, smelled, touched, or tasted pizza, then you’ve acquired semantic information about pizza that could not possibly be acquired by syntax alone. Same goes for informal communication such as eye contact, touch, hugs, kisses, handshakes, sex, etc. These are experiences people share that cannot be acquired through any other means. Why does this matter for the AI debate? Suppose I ask a master pizza chef for tips to improve my pizza recipe. This chef has presumably many years of pizza-making and tasting experience. The chef can make recommendations to improve the flavour of the pizzas I make at home that are informed by semantic contents; actual knowledge of what effect the ingredients and methods have on the taste. An AI can do none of that. It can only take the written words (syntactic inputs) of many pizza chefs and synthesize a model for pizza recipes. From that it can send me a bunch of words which, when followed, may or may not improve my pizza recipe. It has no knowledge whatsoever, not least of which is experience of making and eating pizza. It cannot tell a good recipe from a bad one, unless its training set was specifically labeled to do that. Furthermore, models in general are highly vulnerable to adversarial inputs which would make it trivial for someone to construct a bad pizza recipe that gets misclassified as a good one. Lastly, the model would be no help at all if I were to suggest a novel topping to add to the pizza. Whereas the pizza chef, if they had the experience of tasting that topping separately from pizza, would be able to imagine how it might taste on a pizza and make an informed recommendation. Furthermore, the pizza chef might even try that novel topping on a pizza and get back to me, something a language model could never do.
- MrScruff 4y agoThis is true. But if the AI was multimodal and we had some sensors that could measure the chemical composition of an object that it’s told is labelled ‘pizza’. Presumably that would count as semantic information?
- chongli 4y agoYes. But then it’s no longer an LLM. And it still runs into the issues of taste and preference which would have to be included in its training set. At some point we’re no longer talking about AIs, but androids that are built to simulate the complete range of human experiences. And this was Searle’s original argument. You can’t build intelligence by building strictly symbolic machines (computers). You have to endow them with semantic content by some other means.