[danielmarkbruce]

This is nonsense. It's not a cop-out to say "use the latest, most capable model before complaining". Anyone remotely close to this field knows model size matters, amount of training data matters, quality of training data matters, and several other variables matter. Even if someone knows zero about it, just using 3.5 v 4 is enough to see they are two different things. Like a lizard v a human.

[hospitalhusband]

It's still fundamentally the same, hallucinates just the same, and anthropomorphizes itself as a confident, knowledgeable, intelligent being just the same. A newer, better, faster, more capable car still isn't an airplane, even if it go fast enough to spend several seconds in the air.

[danielmarkbruce]

Sure, and 40 year olds have the same capabilities as 4 year olds, because "same architecture" or "fundamentally the same". And putting random weights inside the GPT-4 model architecture should behave "fundamentally the same" as the trained GPT-4 weights, because it's "same architecture". Forget this "training" stuff.

[hospitalhusband]

It's not a person, it's a machine. And it's one that will still produce hallucinations that embarrassingly prove that it has no notion of intelligence, and do so confidently. That it does so less than it's sibling is entirely irrelevant.

[danielmarkbruce]

Nope, wrong. The number of errors and the magnitude of each is very relevant.

[hospitalhusband]

Black box hallucination engines do what they do https://news.ycombinator.com/item?id=36134249