I couldn’t have put it better myself. You’ve said lots of philosophical words without actually addressing any of my questions:
How do you distinguish between a person who really understands beauty, and someone who has enough experience with things they’ve been told are beautiful to approximate?
How do you distinguish between someone with no concept of beauty, and someone who sees beauty in drastically different things than you?
How do you distinguish between the deviations from photorealism due to imprecise technique, and deviations due to intentional stylistic impressionism?
Every step of the way, a machine learning model is only making guesses based on previous training data. And not what the data actually is, but the pieces of it. Do green pixels normally go here? Does the letter “k” go here?
What evidence do you have that human cognition is functionally different? I won’t argue that humans are more sophisticated for sure. But what justification do you have to claim that humans aren’t just very, very good at making guesses based on previous training data?
I’m sorry that you’re struggling. Perhaps if you answered any of the questions I posed (twice) in order to frame the topic in a concrete way, we could have a more productive conversation that might provide elucidation for one, or both, of us. I fail to see how continuing to ignore those core questions, and instead focusing on questions that weren’t asked, will help either one of us.
I couldn’t have put it better myself. You’ve said lots of philosophical words without actually addressing any of my questions:
Did you really just pull an “I know you are, but what am I?”
I’m not gonna entertain your attempt to pretend very concrete concepts are woollier and more complex than they are.
If you truly believe machine learning has even begun to approach being compared to human cognition, there is no speaking to you about this subject.
https://www.youtube.com/watch?v=EUrOxh_0leE&pp=ygUQYWkgZG9lc24ndCBleGlzdA%3D%3D
Every step of the way, a machine learning model is only making guesses based on previous training data. And not what the data actually is, but the pieces of it. Do green pixels normally go here? Does the letter “k” go here?
Here is an alternative Piped link(s):
https://www.piped.video/watch?v=EUrOxh_0leE&pp=ygUQYWkgZG9lc24ndCBleGlzdA%3D%3D
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
What evidence do you have that human cognition is functionally different? I won’t argue that humans are more sophisticated for sure. But what justification do you have to claim that humans aren’t just very, very good at making guesses based on previous training data?
I’m really struggling to believe that you actually think this.
I’m sorry that you’re struggling. Perhaps if you answered any of the questions I posed (twice) in order to frame the topic in a concrete way, we could have a more productive conversation that might provide elucidation for one, or both, of us. I fail to see how continuing to ignore those core questions, and instead focusing on questions that weren’t asked, will help either one of us.
I don’t make a habit of answering irrelevant red herrings.