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Cake day: July 26th, 2024

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  • If you think about AI systems as effectively complex DSP problems and equations, then logically any system that takes inputs that are potentially the outputs can cause system feedback or recursive (destructive) loops. What scares AI companies is that, while most recursive loops are easy to detect immediately, “content loops” will be much harder to detect as the delay time between inputs is much larger compared to, say, audio or programming loops where feedback is obvious immediately.

    This is effectively the theory behind the practice of data poising, and it’s hard to say there’s no validity to it as most AI companies are terrified of data poisoning. If it didn’t work, companies wouldn’t be so adamantly vocal about their distaste for model poisoning conceptually. Also, a lot of time and money is spent trying to “detect” AI content for a reason – that reason is actually to help aid the detection of AI output which must be “valuable” to the companies to spend the resources on it.

    Conversely, AI makers have learned of ways to avoid this by simply having human semantic “grading” of the content done by third parties. This is why there are so many deals going on in Africa / SE Asia where these AI companies are hiring English speakers to effectively “wash” the input by giving it contextual “extra information” and rough validation scoring. This is an expensive solution, though, so they’re very much dependent on AI being the bees-knees of lucrative investment for this process to continue. I’d also argue, with the rate at which AI development has slowed down, the semantic grading of content being fed into the system also has diminishing returns. However, this is effectively a “survival of the fittest” style evolutionary simulation, where the AI is only interested in training off information it happens to find is “right” or “close enough” or whatever metric the grader finds. The feedback is less of a problem if the validity of the input can be assured or “cleaned up” to prevent unintended loops, basically.

    Now, “are the programs that claim to poison the datasets effective?” Hmm, that’s a difficult one to answer. Personally, I have some skepticism around these models as their origins are vague and most are not adopting an “open data” approach or even an open binary approach (freeware) for distribution. I understand that the concern from the makers is that publicly talking about how the sausage is made makes the software less effective, but it’s hard to validate that the people behind these models are providing the service as intended and that they aren’t doing anything with the data being sent to them for “protection.” There’s no assurances that they aren’t training models off the data artists send in themselves, for example, or any guarantees to how that data will be used for training. So it’s kind of a “miss” for me, unless there’s a project someone is aware of that is both open-source and open-data (I find that ‘open-source’ in the AI field is a hugely misleading moniker, as AI follows a “data is king” philosophy and the program that trains the models is inherently less important as a result.)




  • The age verification is really just an alternate means for these companies to try to find out which of us are real people or not with the intent to scrape AI training materials more “cleanly”. But it’s all moot in the long run, as it turns out that it will be easy for anyone who wants to break the law to pretend to be someone they aren’t.

    In a world where identity theft is more rampant than ever, you’d have to be some kind of numbskull to think that this will be effective at doing any of the intended affects. It’s literally a complete waste of time & money.








  • MoogleMaestro@lemmy.ziptoAnime@ani.social4/20: Where is Weed in Anime?
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    6 days ago

    I do think it’s bizarre we live in a society where smoking tobacco or drinking alcohol is “normal” yet weed is somehow a taboo subject.

    It’s especially funny since Japanese policy on weed was basically forced on Japan (and the rest of the world) by the United States with racially motivated trade policies that conveniently helped the alcohol business thrive in a post prohibition world.







  • Can’t blame them for wanting to make their own thing, and they did a pretty good job (even if the TV stations kind of fucked them over by putting them on some bad timeslots.) Overall, I’m glad the show exists.

    Art director for Mission Hill went on to work as a director for Disney (also one of the first women to work as a sole-director at Disney, coincidentally) and Bill Oakley / Josh Weinstein continued to work as writers, so I think it worked out for most parties involved in the production.