I’m not sure where you think I’m giving it too much credit, because as far as I read it we already totally agree lol.
You’re right, methods exist to diminish the effect of hallucinations. That’s what the scientific method is.
Current AI has no physical body and can’t run experiments to verify objective reality. It can’t fact check itself other than be told by the humans training it what is correct (and humans are fallible), and even then if it has gaps in what it knows it will fill it up with something probable - but which is likely going to be bullshit.
All my point was, is that to truly fix it would be to basically create an omniscient being, which cannot exist in our physical world. It will always have to make some assumptions - just like we do.
The fundamental difference is that the AI doesn’t know anything. It isn’t capable of understanding, it doesn’t learn in the same sense that humans learn. A LLM is a (complex!) digital machine that guesses the next most likely word based on essentially statistics, nothing more, nothing less.
It doesn’t know what it’s saying, nor does it understand the subject matter, or what a human is, or what a hallucination is or why it has them. They are fundamentally incapable of even perceiving the problem, because they do not perceive anything aside from text in and text out.
It doesn’t need to verify reality, it needs to be internally consistent and it’s not.
For example I was setting up logging pipeline and one of the filters didn’t work. There was seemingly nothing wrong with configuration itself and after some more tests with dummy data I was able to get it working, but it still didn’t work with the actual input data. So I have the working dummy example and the actual configuration to chatGPT and asked why the actual configuration doesn’t work. After some prompts going over what I had already tried it ended up giving me the exact same configuration I had presented as the problem. Humans wouldn’t (or at least shouldn’t) make that error because it would be internally inconsistent, the problem statement can’t be the solution.
But the AI doesn’t have internal consistency because it doesn’t really think. It’s not making sure what it’s saying is logical based on the information it knows, it’s not trying to make assumptions to solve a problem, it can’t even deduce that something true is actuality true. All it can do is predict what we would perceive as the answer.
Indeed. It doesn’t even trend towards consistency.
It’s much like the pattern-matching layer of human consciousness. Its function isn’t to filter for truth, its function is to match knowns and potentials to patterns in its environment.
AI has no notion of critical thinking. It is purely positive “thinking”, in a technical sense - it is positing based on what it “knows”, but there is no genuine concept of self, nor even of critical thinking, nor even a non-conceptual logic or consistency filter.
I’m not sure where you think I’m giving it too much credit, because as far as I read it we already totally agree lol. You’re right, methods exist to diminish the effect of hallucinations. That’s what the scientific method is. Current AI has no physical body and can’t run experiments to verify objective reality. It can’t fact check itself other than be told by the humans training it what is correct (and humans are fallible), and even then if it has gaps in what it knows it will fill it up with something probable - but which is likely going to be bullshit.
All my point was, is that to truly fix it would be to basically create an omniscient being, which cannot exist in our physical world. It will always have to make some assumptions - just like we do.
The fundamental difference is that the AI doesn’t know anything. It isn’t capable of understanding, it doesn’t learn in the same sense that humans learn. A LLM is a (complex!) digital machine that guesses the next most likely word based on essentially statistics, nothing more, nothing less.
It doesn’t know what it’s saying, nor does it understand the subject matter, or what a human is, or what a hallucination is or why it has them. They are fundamentally incapable of even perceiving the problem, because they do not perceive anything aside from text in and text out.
It doesn’t need to verify reality, it needs to be internally consistent and it’s not.
For example I was setting up logging pipeline and one of the filters didn’t work. There was seemingly nothing wrong with configuration itself and after some more tests with dummy data I was able to get it working, but it still didn’t work with the actual input data. So I have the working dummy example and the actual configuration to chatGPT and asked why the actual configuration doesn’t work. After some prompts going over what I had already tried it ended up giving me the exact same configuration I had presented as the problem. Humans wouldn’t (or at least shouldn’t) make that error because it would be internally inconsistent, the problem statement can’t be the solution.
But the AI doesn’t have internal consistency because it doesn’t really think. It’s not making sure what it’s saying is logical based on the information it knows, it’s not trying to make assumptions to solve a problem, it can’t even deduce that something true is actuality true. All it can do is predict what we would perceive as the answer.
Indeed. It doesn’t even trend towards consistency.
It’s much like the pattern-matching layer of human consciousness. Its function isn’t to filter for truth, its function is to match knowns and potentials to patterns in its environment.
AI has no notion of critical thinking. It is purely positive “thinking”, in a technical sense - it is positing based on what it “knows”, but there is no genuine concept of self, nor even of critical thinking, nor even a non-conceptual logic or consistency filter.