- cross-posted to:
- hackernews@derp.foo
- cross-posted to:
- hackernews@derp.foo
Data poisoning: how artists are sabotaging AI to take revenge on image generators::As AI developers indiscriminately suck up online content to train their models, artists are seeking ways to fight back.
Yeah, no. There’s a difference between posting your work for someone to enjoy, and posting it to be used in a commercial enterprise with no recompense to you.
Wait until you find out how human artists learn.
They learn completely different from an AI model, considering an AI model cannot learn
Prove it.
And you don’t see how those two things are different?
And you don’t see how those two things are similar?
How are you going to stop that lol it’s ridiculous. Would you stop a corporate suit from viewing your painting because they might learn how to make a similar one? It’s makes absolutely zero sense and I can’t believe delulus online are failing to comprehend such simple concept of “computers being able to learn”.
Ah yes, just because lockpickers can enter a house suddenly everyone’s allowed to break and enter. 🙄
What a terrible analogy for learning 🙄
Computers can’t learn. I’m really tired of seeing this idea paraded around.
You’re clearly showing your ignorance here. Computers do not learn, they create statistical models based on input data.
A human seeing a piece of art and being inspired isn’t comparable to a machine reducing that to 1’s and 0’s and then adjusting weights in a table somewhere. It does not “understand” the concept, nor did it “learn” about a new piece of art.
Enforcement is simple. Any output from a model trained on material that they don’t have copyright for is a violation of copyright against every artist who’s art was used illegally to train the model. If the copyright holders of all the training data are compensated and have opt-in agreed to be used for training then, and only then would the output of the model be able to be used.
It’s literally in the name. Machine learning. Ignorance is not an excuse.