> You're again reverting to the only reason people like these is because they're stupid.

No, clearly I did not.

FYI, it's tedious and annoying for me to respond to someone who consistently misunderstands my posts. And I'm seeing a pattern in your misunderstandings. They send a message that undermines the points you're trying to make.

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orangedog an hour ago | parent [-]

> people are simultaneously much more easily impressed and often lack the skill to properly evaluate the output they're getting

This is why people who praise these models do? You're saying they aren't capable of evaluating their own experiences. Once again, not giving any positive reason as to why people could feel the way they do about these models. The pattern is you are engaging in the binary thinking you are complaining about.

Your sentiment is pretty clear.

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palmotea an hour ago | parent [-]

> This is why people who praise these models do? You're saying they aren't capable of evaluating their own experiences. Once again, not giving any positive reason as to why people could feel the way they do about these models. The pattern is you are engaging in the binary thinking you are complaining about.

> Your sentiment is pretty clear.

See, this one of the frustrating things about your responses: I make some statement about some subset, and you generalize it to the universe (of AI fans) and object. The thing you're objecting to is your own misunderstanding.

	▲	orangedog an hour ago \| parent [-]
		Well, yeah, when you are asked why people talk about these models on HN and your answers are: myopia, funded support, taking things personally, and pedantry and then you double down on it suggesting that another reason is these people aren't capable of evaluating what they are seeing, then you are only painting those people with a negative brush. Do yo believe there are positive reasons people are adopting these models? Because there is nothing in your responses that suggest you do. I, as somebody who rarely uses these models but understands why people might, don't see any attempt at being unbiased.