Noam Chomsky Speaks on What ChatGPT Is Really Good For: 'Current work with Large Language Models (LLMs), including chatbots, provides tools for disinformation, defamation, and misleading the uninformed.'
Artificial intelligence is sweeping the world. It is transforming every walk of life and raising in the process major ethical concerns for society and the future of humanity. ChatGPT, which is dominating social media, is an AI-powered chatbot developed by OpenAI. It is a subset of machine learning and relies on what is called Large Language Models that can generate human-like responses.
As I understand them, the founders of AI–Alan Turing, Herbert Simon, Marvin Minsky, and others–regarded it as science, part of the then-emerging cognitive sciences, making use of new technologies and discoveries in the mathematical theory of computation to advance understanding. Over the years those concerns have faded and have largely been displaced by an engineering orientation. The earlier concerns are now commonly dismissed, sometimes condescendingly, as GOFAI–good old-fashioned AI.
Quite different questions arise when we turn to AI and science. Here caution is necessary because of exorbitant and reckless claims, often amplified in the media. To clarify the issues, let’s consider cases, some hypothetical, some real. This case differs from the others. First, it is real. Second, people don’t laugh; in fact, many are awed. Third, unlike the hypothetical cases, the actual results are far from what’s claimed.
It's as if a biologist were to say: “I have a great new theory of organisms. It lists many that exist and many that can’t possibly exist, and I can tell you nothing about the distinction.”Not Tom Jones–now referring to actual cases. Persisting in his radical departure from science, Tom Jones responds: “How do you know any of this until you’ve investigated all languages?” At this point the abandonment of normal science becomes even clearer.
Acquisition of language is such a process. The initial state is the biological endowment of the faculty of language, which obviously exists, even if it is, as some believe, a particular combination of other capacities. That’s highly unlikely for reasons long understood, but it’s not relevant to our concerns here, so we can put it aside. Plainly there is a biological endowment for the human faculty of language. The merest truism.
The internally coded system is accessed in use of knowledge . Performance includes the internal use of language in thought: reflection, planning, recollection, and a great deal more. Statistically speaking that is by far the overwhelming use of language. It is inaccessible to introspection, though we can learn a lot about it by the normal methods of science, from “outside,” metaphorically speaking.
Proceeding further with normal science, we find that the internal processes and elements of the language cannot be detected by inspection of observed phenomena. Often these elements do not even appear in speech , though their effects, often subtle, can be detected. That is yet another reason why restriction to observed phenomena, as in LLM approaches, sharply limits understanding of the internal processes that are the core objects of inquiry into the nature of language, its acquisition and use.
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