This scene is pretty ironic today, since the actual dialog was if it could paint a work of art, when art is now (arguably) AIs strongest area of competence
“minor changes”
The meaningful part of a git commit is the hash
“latest changes”
“fix bug”
“commit to save changes”
#git commit -m “changing something in the source code”
Ah, but where do you find the training set of all of the human-written good commit messages? 😃
I work in bioinformatics and this is the kind of thing I keep trying to communicate to people in the field. Yes, these AI tools (like AlphaFold) are amazing, but if there’s a significant gap in their training data, the AI is going to have that gap too (most of the structures in the protein database were solved via X ray crystallography, which isn’t great for studying highly flexible or disordered proteins)
Yes. My (minimally informed from a single class) understanding is that it sort-of depends on the problem too. Like perhaps in looking at all the data on proteins, the neural network might notice a pattern in protein folding is applicable to the tweaked problem. Of course, there is no guarantee that such a generally applicable rule exists. And even if it does, it might not be discovered by the net before overtraining occurs.