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Cake day: June 19th, 2023

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  • I only have a limited and basic understanding of Machine Learning, but doesn’t training models basically work like: “you, machine, spit out several versions of stuff and I, programmer, give you a way of evaluating how ‘good’ they are, so over time you ‘learn’ to generate better stuff”? Theoretically giving a newer model the output of a previous one should improve on the result, if the new model has a way of evaluating “improved”.

    If I feed a ML model with pictures of eldritch beings and tell them that “this is what a human face looks like” I don’t think it’s surprising that quality deteriorates. What am I missing?


  • Just wanted to point out that the Pinterest examples are conflating two distinct issues: low-quality results polluting our searches (in that they are visibly AI-generated) and images that are not “true” but very convincing,

    The first one (search results quality) should theoretically be Google’s main job, except that they’ve never been great at it with images. Better quality results should get closer to the top as the algorithm and some manual editing do their job; crappy images (including bad AI ones) should move towards the bottom.

    The latter issue (“reality” of the result) is the one I find more concerning. As AI-generated results get better and harder to tell from reality, how would we know that the search results for anything isn’t a convincing spoof just coughed up by an AI? But I’m not sure this is a search-engine or even an Internet-specific issue. The internet is clearly more efficient in spreading information quickly, but any video seen on TV or image quoted in a scientific article has to be viewed much more skeptically now.