547
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 25 Oct 2023
547 points (100.0% liked)
News
37585 readers
1360 users here now
Welcome to the News community!
Rules:
1. Be civil
Attack the argument, not the person. No racism/sexism/bigotry. Good faith argumentation only. This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban. Do not respond to rule-breaking content; report it and move on.
2. All posts should contain a source (url) that is as reliable and unbiased as possible and must only contain one link.
Obvious biased sources will be removed at the mods’ discretion. Supporting links can be added in comments or posted separately but not to the post body. Sources may be checked for reliability using Wikipedia, MBFC, AdFontes, GroundNews, etc.
3. No bots, spam or self-promotion.
Only approved bots, which follow the guidelines for bots set by the instance, are allowed.
4. Post titles should be the same as the article used as source. Clickbait titles may be removed.
Posts which titles don’t match the source may be removed. If the site changed their headline, we may ask you to update the post title. Clickbait titles use hyperbolic language and do not accurately describe the article content. When necessary, post titles may be edited, clearly marked with [brackets], but may never be used to editorialize or comment on the content.
5. Only recent news is allowed.
Posts must be news from the most recent 30 days.
6. All posts must be news articles.
No opinion pieces, Listicles, editorials, videos, blogs, press releases, or celebrity gossip will be allowed. All posts will be judged on a case-by-case basis. Mods may use discretion to pre-approve videos or press releases from highly credible sources that provide unique, newsworthy content not available or possible in another format.
7. No duplicate posts.
If an article has already been posted, it will be removed. Different articles reporting on the same subject are permitted. If the post that matches your post is very old, we refer you to rule 5.
8. Misinformation is prohibited.
Misinformation / propaganda is strictly prohibited. Any comment or post containing or linking to misinformation will be removed. If you feel that your post has been removed in error, credible sources must be provided.
9. No link shorteners or news aggregators.
All posts must link to original article sources. You may include archival links in the post description. News aggregators such as Yahoo, Google, Hacker News, etc. should be avoided in favor of the original source link. Newswire services such as AP, Reuters, or AFP, are frequently republished and may be shared from other credible sources.
10. Don't copy entire article in your post body
For copyright reasons, you are not allowed to copy an entire article into your post body. This is an instance wide rule, that is strictly enforced in this community.
founded 2 years ago
MODERATORS
This comment deserved to be separated from the other discussion. I am studying some LLM stuff as a side project for myself and the author of the book I am reading was discussing the history of AI training a bit in the chapter I was reading. I personally did not realize that LLM models dated back to the very early 200X years. The whole "training on works of art" dates all the way back to the earliest days using non-licensed books and manuscripts in addition to emails, text messages, blog posts, news articles, etc. Scraping whatever content is needed to train an AI from the internet without really worrying about permission is very much so nothing new. It is just something that came to the forefront of the cultural zeitgeist with the release of SD and the clamor of attention it got.
I think the reason it was never really worried about is precisely how destructive the whole process is. The "Vectorization" step that is common to most if not all AI training algorithms fundamentally disassembles whatever the input is and applies statistical methods to make it something a computer can understand. How many times was each word used, what are the odds of two colors being next to each other, how many times did person A tap their foot? Once this is done, the original work is gone. There are no discernable features of the source material save for perhaps words that are unique to that, but most of the time those are filtered out, so even those are gone. That vector is what the AI is actually trained on, not the original work. All the sources are are chaos to derive statistics from. Nothing more, nothing less.