I agree with most of this, but it also... kinda feels like a semantic argument? Like "Don't call LLMs AI" is like saying "Don't call electric vehicles cars." Yeah, it's way different, but what we call AI isn't the problem. The problem, as you point out, is how we use them. And it feels like almost everyone is using them wrong.
I appreciate the analogy, but I disagree that it's just a semantic argument.
The distinction between LLMs and true AI is crucial because it defines the fundamental limitations of the tool. Your car analogy doesn't quite fit:
An EV is a car because it serves the same function (transportation) and obeys the same physical rules (gravity, friction). An LLM is not intelligence; it is a statistical simulation of language produced by intelligence.
The core problem: The current approach (LLM) is fundamentally designed to be a simulation, a highly trained autocomplete machine. You cannot upgrade a simulation concept into an original.
If we want real general intelligence, we need a completely different conceptual and architectural approach
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I agree with most of this, but it also... kinda feels like a semantic argument? Like "Don't call LLMs AI" is like saying "Don't call electric vehicles cars." Yeah, it's way different, but what we call AI isn't the problem. The problem, as you point out, is how we use them. And it feels like almost everyone is using them wrong.
I appreciate the analogy, but I disagree that it's just a semantic argument.
The distinction between LLMs and true AI is crucial because it defines the fundamental limitations of the tool. Your car analogy doesn't quite fit:
An EV is a car because it serves the same function (transportation) and obeys the same physical rules (gravity, friction). An LLM is not intelligence; it is a statistical simulation of language produced by intelligence.
The core problem: The current approach (LLM) is fundamentally designed to be a simulation, a highly trained autocomplete machine. You cannot upgrade a simulation concept into an original.
If we want real general intelligence, we need a completely different conceptual and architectural approach