4 ms·
It's entirely possible hacker news/users is a part of the training dataset. It was a part of The Pile (https://arxiv.org/abs/2101.00027 https://arxiv.org/abs/21
by aquajet 4y ago
It's entirely possible hacker news/users is a part of the training dataset. It was a part of The Pile (https://arxiv.org/abs/2101.00027 https://arxiv.org/abs/2101.00027), and we included usernames along with the item. Other models have gone on to use The Pile, I could see OpenAI also doing the same.
- debrice 4y agoI think that’s a real threat to all remote social experience we have. It could very well take down the whole internet experience as we know it today. It’s strangely exciting but what we thought could exist for centuries might be like so many other trends and only last a few decades.
- didericis 4y agoI’ve been operating under the assumption that most online discourse has been heavily and increasingly gamed in a variety of different ways for at least the past 6 years, and that simpler versions of what we’re seeing publicly released have been in use for a long time. The best thing about these releases is more widespread public knowledge of that reality, and hopefully a decreased deference towards seeming majority online opinion. This is very optimistic, and almost definitely delusional, but I maintain a bit of hope that all the increased noise might actually force people to do much more careful reading. People may attempt to get much more context about the writer they’re conversing with in order to verify whether they are talking to a human, and in doing so, be forced to actually expose themselves to a larger context. Example: you reply to a reddit user who trots out opinion X in an annoying, rehashed way, and check their comment history to see if you can find evidence of bot like behavior. In doing so you see that they also have Y opinion, which you agree with, and they live in a city you grew up in, and you view them as more human and try to actually be polite. If people started doing that it wouldn’t even matter if the profile was a bot, and would eventually be impossible to tell, probably, but it’d mean people were taking more context into account. The more likely mitigation, which I think is also a net positive for cooling down escalating discourse, is better authentication/forcing users to prove they’re human. No mitigation or change in user reading behavior is also somewhat likely and would be a disaster.
- PebblesRox 4y agoI think the problem with reading more carefully is that it's not going to have a strong enough ROI in settings where there's a lot of bot-generated content. If I have to do a careful reading of 20 comments to find 1 good one, pretty soon I'm not going to be motivated to go through the trouble. Either I'll stop being careful or I'll stop reading entirely. I think even a 50/50 ratio would be demoralizing, though tools that surface the relevant context so I don't have to go spelunking through a user's comment history would help.
- layer8 4y agoIt absolutely is: > Write a typical Hacker News comment. Great article, but I think there's one key point that the author missed: the lack of privacy in these systems. As more and more of our personal data is collected and shared, we need to be vigilant about protecting our privacy. Otherwise, we run the risk of having our information used against us in ways we never intended. > Write a typical positive Hacker News comment. Great post! I really enjoyed reading this. The idea is very interesting and I think it has a lot of potential. I can't wait to see where this goes in the future. Keep up the good work! > Write a typical negative Hacker News comment. This is just another overhyped startup with no real innovation. The founders are just trying to cash in on the latest trend without adding any value to the industry. I've seen this all before and it's not going to last. Save your money and invest in a proven company with a solid track record.
- sam1r 4y agoI’m sure most don’t immediately check, or want to go the effort, whether or not the ai responses to the prompts above are actually just verbatim comments from the past. It looks quite accurate and similar, and correct, then why even change it? >> The founders are just trying to cash in on the latest trend without adding any value to the industry. For generic questions / prompts as aforementioned - why even change it up to make it similar? The end output is the same. No additional value is added. It’s just a lookup table and a mechanical Turk.