It works the other way too! People don't know that 3 or 2 bits can still be good because they've read the hivemind's opinion that <4bit is unusable trash and they've never experimented themselves. The reality is a lot more nuanced than that, especially for models as large as 284B.
It also depends on your inference setup too. Like I had looping problems on an IQ3_S quant that were actually down to problems with the harness and the inference engine itself, not the quant. So, nowadays when I see people make those types of claims, I think there's potentially some truth to them that the quant is the problem, but I've experienced that other parts of the stack can be equally as responsible for that and it might not actually be the quant.