486
this post was submitted on 17 Aug 2023
486 points (96.0% liked)
Technology
63158 readers
4834 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Good
AI should not be given free reign to train on anything and everything we’ve ever created. Copyright holders should be able to decide if their works are allowed to be used for model training, especially commercial model training. We’re not going to stop a hobbyist, but google/Microsoft/openAI should be paying for materials they’re using and compensating the creators.
Bullshit. If I learn engineering from a textbook, or a website, and then go on to design a cool new widget that makes millions, the copyright holder of the textbook or website should get zero dollars from me.
It should be no different for an AI.
Human experience considers context, experience, and relation to previous works
'AI' has the words verbatim in it's database and will occasionally spit them out verbatim
It doesn't. The original data is nowhere in its dataset. Words are nowhere in its dataset. It stores how often certain tokens (numbers computationally equivalent to language fragments; not even words, but just a few letters or punctuation, often chunks of words) are found together in sentences written by humans, and uses that to generate human-sounding sentences. The sentences it returns are thereby a massaged average of what it predicts a human would say in that situation.
If you say "It was the best of times," and it returns "it was the worst of times.", it's not because "it was the best of times, it was the worst of times." is literally in its dataset, it's because after converting what you said to tokens, its dataset shows that the latter almost always follows the former. From the AI's perspective, it's like you said the token string (03)(153)(3181)(359)(939)(3)(10)(108), and it found that the most common response to that by far is (03)(153)(3181)(359)(61013)(12)(10)(108).
Sorry, wrong reply
Impressioning and memorization, it memorised the impression ("sensation") of what it's like to have the text in the buffer: "It was the best of times," and "instinctively" outputs it's impression "it was the worst of times." Knowing each letter it added was the most "correct" rewarding.