Basically a deer with a human face. Despite probably being some sort of magical nature spirit, his interests are primarily in technology and politics and science fiction.

Spent many years on Reddit and then some time on kbin.social.

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Joined 5 months ago
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Cake day: March 3rd, 2024

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  • There was a politics subreddit I was on that had a “downvoting is not allowed” rule. There’s literally no way to tell who’s downvoting on Reddit, or even if downvoting is happening if it’s not enough to go below 0 or trigger the “controversial” indicator.

    I got permabanned from that subreddit when someone who’d said something offensive asked “why am I being downvoted???” And I tried to explain to them why that was the case. No trial, one million years dungeon, all modmail ignored. I guess they don’t get to enforce that rule often and so leapt at the opportunity to find an excuse.




  • There actually isn’t a downside to de-duplicating data sets, overfitting is simply a flaw. Generative models aren’t supposed to “memorize” stuff - if you really want a copy of an existing picture there are far easier and more reliable ways to accomplish that than giant GPU server farms. These models don’t derive any benefit from drilling on the same subset of data over and over. It makes them less creative.

    I want to normalize the notion that copyright isn’t an all-powerful fundamental law of physics like so many people seem to assume these days, and if I can get big companies like Meta to throw their resources behind me in that argument then all the better.


  • Remember when piracy communities thought that the media companies were wrong to sue switch manufacturers because of that?

    It baffles me that there’s such an anti-AI sentiment going around that it would cause even folks here to go “you know, maybe those litigious copyright cartels had the right idea after all.”

    We should be cheering that we’ve got Meta on the side of fair use for once.

    look up sample recover attacks.

    Look up “overfitting.” It’s a flaw in generative AI training that modern AI trainers have done a great deal to resolve, and even in the cases of overfitting it’s not all of the training data that gets “memorized.” Only the stuff that got hammered into the AI thousands of times in error.