Hallucinations are by design for Ai. It’s just advanced next word predictions. So all answers (correct or wrong) are doing through the same hallucination process.
The whole goal of these algorithms is that you put an input in and the output it gives out is as close to the most likely to be correct answer as it can be, training is just repeating that process. We’re several years deep into these “most likely” results and sometimes they’re pretty close but usually it’s not quite there because the only guidance they get is from outside.
Exactly. This is also why Ai doesn’t really truly understand the responses it gives back.
It’s faking intelligence by the training data, so it seems like intelligence by an untrained eye, but in reality Ai is just an hallucination that tries it best to give the most likely and correct answer possible (again without understanding).
Hallucinations are by design for Ai. It’s just advanced next word predictions. So all answers (correct or wrong) are doing through the same hallucination process.
Ah, it’s always hallucinating, sometimes the hallucinations conveniently line up with reality.
The whole goal of these algorithms is that you put an input in and the output it gives out is as close to the most likely to be correct answer as it can be, training is just repeating that process. We’re several years deep into these “most likely” results and sometimes they’re pretty close but usually it’s not quite there because the only guidance they get is from outside.
Exactly. This is also why Ai doesn’t really truly understand the responses it gives back.
It’s faking intelligence by the training data, so it seems like intelligence by an untrained eye, but in reality Ai is just an hallucination that tries it best to give the most likely and correct answer possible (again without understanding).