this post was submitted on 23 Feb 2024
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Privacy

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Reddit said in a filing to the Securities and Exchange Commission that its users’ posts are “a valuable source of conversation data and knowledge” that has been and will continue to be an important mechanism for training AI and large language models. The filing also states that the company believes “we are in the early stages of monetizing our user base,” and proceeds to say that it will continue to sell users’ content to companies that want to train LLMs and that it will also begin “increased use of artificial intelligence in our advertising solutions.”

The long-awaited S-1 filing reveals much of what Reddit users knew and feared: That many of the changes the company has made over the last year in the leadup to an IPO are focused on exerting control over the site, sanitizing parts of the platform, and monetizing user data.

Posting here because of the privacy implications of all this, but I wonder if at some point there should be an "Enshittification" community :-)

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[–] [email protected] 12 points 8 months ago (3 children)

Some AI models already argue when people point out inaccuracies, just like on Reddit.

[–] [email protected] 4 points 8 months ago

This is a human thing and not so much a reddit thing. People been arguing on the internet since the inception of message boards.

[–] [email protected] 15 points 8 months ago (1 children)

Makes me wonder how that technology is going to track. Reddit isn't bad for finding niche answers to niche questions, but if you import the data wholesale then you'll have a hard time separating the signal from the noise, even if you sort by using vote counts as relevance.

Reddit is valuable because people can do a search for a niche topic and find the answer on that forum. And the answer was written by a human. It's not valuable because it can amalgamate an approximation of those answers that might be 90% true and 10% dead wrong.

[–] [email protected] 4 points 8 months ago

As someone with expertise in some niche fields:

They're almost always wrong about everything, and when someone tries to correct them, with sources, they get downvoted.

[–] [email protected] 7 points 8 months ago

Guess what data they're trained on...