Lots of people on Lemmy really dislike AI’s current implementations and use cases.

I’m trying to understand what people would want to be happening right now.

Destroy gen AI? Implement laws? Hoping all companies use it for altruistic purposes to help all of mankind?

Thanks for the discourse. Please keep it civil, but happy to be your punching bag.

  • justOnePersistentKbinPlease@fedia.io
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    11 hours ago

    They have to pay for every copyrighted material used in the entire models whenever the AI is queried.

    They are only allowed to use data that people opt into providing.

    • A Wild Mimic appears!@lemmy.dbzer0.com
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      4 hours ago

      I would make a case for creation of datasets by a international institution like the UNESCO. The used data would be representative for world culture, and creation of the datasets would have to be sponsored by whoever wants to create models out of it, so that licencing fees can be paid to creators. If you wanted to make your mark on global culture, you would have an incentive to offer training data to UNESCO.

      I know, that would be idealistic and fair to everyone. No way this would fly in our age.

    • venusaur@lemmy.worldOP
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      4 hours ago

      This definitely relates to moral concerns. Are there other examples like this of a company that is allowed to profit off of other people’s content without paying or citing them?

    • Bob Robertson IX @discuss.tchncs.de
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      10 hours ago

      There’s no way that’s even feasible. Instead, AI models trained on pubically available data should be considered part of the public domain. So, any images that anyone can go and look at without a barrier in the way, would be fair game, but the model would be owned by the public.

      • BlameTheAntifa@lemmy.world
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        10 hours ago

        Careful, that might require a nuanced discussion that reveals the inherent evil of capitalism and neoliberalism. Better off just ensuring that wealthy corporations can monopolize the technology and abuse artists by paying them next-to-nothing for their stolen work rather than nothing at all.