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They mentioned multiple times in previous blog posts that they do not cherry pick examples.

Would you appreciate more if their model generated cats with 5 legs in 99% of cases, and they cherry picked that 1 in 100 image where it has 4 legs? Do you think doing that would make them more caring and professional?

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I doubt their models are that bad for simple and common things like cats, probably takes just a handful of tries at most for something like getting the correct number of limbs. They could just mention the number of tries on the side like a little bubble showing up to show “Rendered in 5 attempts” or something along those lines. I wouldn’t think less of the tech personally.
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That's an interesting observation, and that's also my feeling: Everything is now expected to move so fast, dropping quality bar to 80% or below is not uncommon.

Not like this is the fault of the AI progress, we could use AI to go beyond the quality what we used to deliver, too. It's just the pace expectations that are now "in the room" ?

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People who make things often have an unrealistic expectation of how much users care about quality (and don't realize how much users actually care about price).

We've seen this play out over and over again, in many different sectors. The whole shtick of the old (Bellhead) telecom world was quality at the (literal) expense of price, which didn't work out well for them. Same for CD versus pirated mp3s, DVD versus pirated videos (and, to a lesser extend, theaters versus bootleg cam releases), native texting / GSM calls versus WhatsApp and similar, mainstream newspapers and media versus blogging and social media, traditional electrical appliances versus Chinese-made, and so on.

Because of the innovator's dilemma, In many cases, the cheaper, lower-quality product later surpasses the quality of its more expensive counterpart.

AI is just one more example of this happening. It lets you make more things which otherwise would be far too expensive to make, even if that often means a lower quality product.

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It could be that they've been using AI so long that they're unaware of the problem.
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