20,862 karma · joined April 12, 2010
But also, non-human actors cannot create copyrighted works, transformative or otherwise. For example, a photographer once gave his camera to a monkey and it took some pretty interesting pictures. He tried to get copyright for these photos, but the Copyright Office ruled that he wasn't the one who created them and the monkey is not a person, so the photos are not copyrightable at all. The law could be changed in these cases, but if we're treating the AI as a creative agent rather than a reservoir of other people's works that humans can request from it, then it seems to me like AI-created works should simply not be copyrightable.
That's a pretty normal way derive principles, isn't it? You start with an observation, and then you recursively ask "why?" It's possible that your answers are wrong, or even that your observation itself is flawed, but the concept of deriving principles from outcomes isn't really flawed. Where else are they going to come from? Should people just pick principles at random and hope they're not terrible?
2. There are lots of good developers who aren't capable of making any statements in English.
What impressed me just as much about these answers, though, was that it correctly identified that the comparison was silly. I don't believe it has seen that exact comparison before, so it seems like it has to have a granular enough categorization of tokens to know that people would say a comparison between a GPU and a computer is silly, and that those are a GPU and computer, and that one is old and the other is new.
So while it is obviously just guessing what to say, the idea that it is just regurgitating existing material seems wrong to me. It does some pretty impressive synthesis to come up with its answers.
As a car owner, those scenarios are drastically different to me. I have a hard time imagining anyone saying "It doesn't really matter to me if my car receives an OTA update or if I need to drive 2 hours to a dealership or if my car is melted to slag."