Well if we use vague metrics like those, then anybody can claim anything. "more than 1/20 tokens wrong" what does wrong mean? One view is that a computer program is never wrong, it does exactly what the code says. Another view is that if the AI ends up at a verifiably incorrect answer (for example if you prompted it with a math question), then all the tokens it gave out were wrong. But then humans can be wrong too. Are humans 1/20 neurons wrong on average?

For comparison, Moore's law uses well defined metrics like computations per second. That's what made it a useful concept.