Technology
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
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Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
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7: crypto related posts, unless essential, are disallowed
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I don't care. It doesn't matter, so I didn't check. Your reading comprehension is still, in fact, the issue, since you didn't understand that the "learned" vs "programmed" distinction I had referred to is completely relevant to your post.
That's what learning is. The fact that it can construct syntactically and semantically correct, relevant responses in perfect English means that it has a highly developed inner model of many things we would consider to be abstract concepts (like the syntax of the English language).
This is wrong. It is obvious and irrefutable that it models sophisticated approximations of abstract concepts. Humans are literally no different. Humans who consider themselves to understand a concept can obviously misunderstand some aspect of the concept in some contexts. The fact that these models are not as robust as that of a human's doesn't mean what you're saying it means.
This is a meaningless point, you're thinking at the wrong level of abstraction. This argument is equivalent to "a computer cannot convey meaningful information to a human because it simply activates and deactivates bits according to simple rules." Your statement about an implementation detail says literally nothing about the emergent behavior we're talking about.