If someone told me an iPhone 4 is terrible but an iPhone 5 would definitely serve my needs, then when I get an iPhone 5 they say the same of the 6 you really want me to believe them a second time? Then a third time? Then a 4th? In the mean time my time and money is wasted?
The point being made by the original comment (with which I agree) was that many criteria-for-usefulness - primarily that of reliability or a lack of hallucination - have remained static; with successive generations of tools being (falsely) claimed to meet them, but then abandoned when the next hype-train comes along.
I certainly agree that _some_ aspects of AI models are indeed improving (often drastically!) over time (speed, price, supported formats, history/context, etc.) - but they still _all_ fall _drastically_ short on the key core requirement that is required in order to make them Actually Useful. "X is better than Y" does not imply "where Y failed to be useful, X now succeeds".