Let's say this is true. If quantum computers could fact check chatgpt, then why would I bother asking chatgpt when I could just ask the quantum computer?
It's not true. I think whoever wrote this is muddling quantum computers (a kind of specialised hardware, not ready for production) with quantum logic (a kind of maths which can be implemented on existing hardware). (And also muddling quantum logic with fuzzy logic.)
Quantum logic allows non-binary (true/false) outcomes, so it can give results a little like the last line says (gradations of correct, partial correct). Although that description sounds more like a description of fuzzy logic than quantum logic.
Both are kinds of nonaristotelean logic (don't have binary true/false states), but fuzzy logic is more about gradation ("this statement is 61.3% true"), whereas quantum logic is more like "this statement is both true and false".
The near-future of AI is in combining Deep Neural Nets (like ChatGPT) with logic engines. DNNs are good at recombining data to form new output; logic engines are better at truth-seeking. DNNs alone are prone to hallucination; they generate content but don't anchor that to the facts. This could maybe be partially fixed using DNN techniques, but it's something logic engines just do better.
To answer your question, you'd need the DNN to generate naturalistic language.
Let's say this is true. If quantum computers could fact check chatgpt, then why would I bother asking chatgpt when I could just ask the quantum computer?
It's not true. I think whoever wrote this is muddling quantum computers (a kind of specialised hardware, not ready for production) with quantum logic (a kind of maths which can be implemented on existing hardware). (And also muddling quantum logic with fuzzy logic.)
Quantum logic allows non-binary (true/false) outcomes, so it can give results a little like the last line says (gradations of correct, partial correct). Although that description sounds more like a description of fuzzy logic than quantum logic.
Both are kinds of nonaristotelean logic (don't have binary true/false states), but fuzzy logic is more about gradation ("this statement is 61.3% true"), whereas quantum logic is more like "this statement is both true and false".
The near-future of AI is in combining Deep Neural Nets (like ChatGPT) with logic engines. DNNs are good at recombining data to form new output; logic engines are better at truth-seeking. DNNs alone are prone to hallucination; they generate content but don't anchor that to the facts. This could maybe be partially fixed using DNN techniques, but it's something logic engines just do better.
To answer your question, you'd need the DNN to generate naturalistic language.
A tech tool to evaluate whether another program is accurate may be more accurate but less legible to a layman.