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Comment by haolez | Hacker News Reader

Well, these models were trained on data produced by artists. How far can they go into the future on their own?

As long as there is enough randomness to generate novel features, and there are still humans in the loop to select the ones with desirable mutant features to survive and guide the next-generation model's evolution... pretty far.

>still humans in the loop to select the ones with desirable mutant features

Sounds like a task for Mechanical Turk

So does it mean benefiting on the work of the artists without giving them credit?

Yes. Not only without giving them credit, but for the most part making them unemployable or reducing the value of their expertise to subsistence level.

This has never happened and will never happen. Jevon's paradox means they'll get more work.

The world is full of people who have been rendered unemployed or underemployed due to globalization and automation. Not only has it happened, it's happening now, and it will happen to knowledge workers and creatives.

The increased demand for the work AI can produce will create jobs filled by AI, so Jevon's paradox doesn't guarantee anything. If it did, cities like Detroit wouldn't be ruins now, as the boom of outsourcing and automation in manufacturing would simply have created more jobs as demand increased. But it turns out the market isn't an infinitely frictionless superfluid and the incentives for businesses change - when they can create value without human labor at all, they will seek to do so in all possible cases.

Detroit isn't all ruins, they rebuilt it. And it didn't get that way because of automation, which increases employment in manufacturing.

https://noahpinion.substack.com/p/american-workers-need-lots...

StableDiffusion is almost entirely not trained on "art" images. I daresay you could easily produce art assets from a model trained entirely on non-artistic images.

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