• Bluegrass_Addict@lemmy.ca
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    2 days ago

    yeah but this one will actually not work as expected, shoot someone in the eye then gaslight you telling you it’s your fault that you needed to buy more subscription credits for it to kinda work better

      • pageflight@piefed.social
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        2 days ago

        The foundation of the system is its visual model, which Cheng trained on a custom mosquito dataset. To do that, he relied on a DSLR camera with a high-magnification zoom lens, capturing detailed images of mosquitoes for training data.

        So, machine vision model. Cooler project, less clicky title.

        • terabyterex@lemmy.world
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          2 days ago

          vision models is what truly broke the barrier. neil degrasse tyson likes to teplace the word “ai” with the generic term “computing”. he made the point that before “ai” every advamcement in computing was just called computing. now we give this mystical reverence to this new tech and call it “ai”. whether you hype it or hate it, you give it yok much power.

          when adobe could remove an onject from a photo we said “cool tech” now its “ai”. there really are cool fun tools buy its hard yo find people online to have a down to earth conversation about them. there are people offline i talk to but it would be cool to coolaborayr more

      • Vipsu@lemmy.world
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        2 days ago

        Its unfortunate how big tech has hacked the word AI to mostly mean these LLM based chatbots or agents.

        Even when LLMs are like tiny subset of AI technologies out there.

        • REDACTED@infosec.pub
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          2 days ago

          I actually think DLSS5 isn’t that terrible and part of the reason it was so hated was because of “AI”. I see it similar to graphic mods or Ray reconstruction (DLSS 4.5), just another tech. Don’t like it? Don’t use it. Me, on the other hand, want to actually see this happen in real-time, one day. I imagine we could even see proper filters in the future (like this).