2011
The erasure of Luigi Mangione (substack.evancarroll.com)
submitted 2 years ago* (last edited 2 years ago) by to c/technology@lemmy.world
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Right now, on Stack Overflow, Luigi Magione’s account has been renamed. Despite having fruitfully contributed to the network he is stripped of his name and his account is now known as “user4616250”.

This appears to violate the creative commons license under which Stack Overflow content is posted.

When the author asked about this:

As of yet, Stack Exchange has not replied to the above post, but they did promptly and within hours gave me a year-long ban for merely raising the question. Of course, they did draft a letter which credited the action to other events that occurred weeks before where I merely upvoted contributions from Luigi and bountied a few of his questions.

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[–] -5 points 2 years ago (8 children)

And yet the synthetic training data works, and models trained on it continue scoring higher on the benchmarks than ones trained on raw Internet data. Claim what you want about it, the results speak louder.

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  • [–] 1 point 2 years ago (3 children)

    The results aren't worth the expense. So-called "AI" is the biggest bubble since the great recession.

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  • [–] 1 point 2 years ago (2 children)

    Nah, I'm still giving that one to the blockchain. LLMs are going to be useful for a while, but Ethereum still hasn't figured out a real use, and they're the only ones that haven't given up and moved fully into coin gambling.

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  • [–] 1 point 2 years ago (3 children)

    This is the peak, though. They require new data to get better but most of the available new data is adulterated with AI slop. Once they start eating themselves it's over.

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  • [–] 2 points 2 years ago (2 children)

    You are speaking of "model collapse", I take it? That doesn't happen in the real world with properly generated and curated synthetic data. Model collapse has only been demonstrated in highly artificial circumstances where many generations of model were "bred" exclusively on the outputs of previous generations, without the sort of curation and blend of additional new data that real-world models are trained with.

    There is no sign that we are at "the peak" of AI development yet.

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