when the data used to train the AI is copyrighted, how do you make it open source? it’s a valid question.
one thing is the model or the code that trains the AI. the other thing is the data that produces the weights which determines how the model predicts
of course, the obligatory fuck meta and the zuck and all that but there is a legal conundrum here we need to address that don’t fit into our current IP legal framework
my preferred solution is just to eliminate IP entirely
when the data used to train the AI is copyrighted, how do you make it open source?
When part of my code base belongs to someone else, how do I make it open source? By open sourcing the parts that belong to me, while clarifying that it’s only partially open source.
I mean, you can have open source weights, training data, and code/model architecture. If you’ve done all three it’s an open model, otherwise you state open “component”. Seems pretty straightforward to me.
when the data used to train the AI is copyrighted, how do you make it open source? it’s a valid question.
one thing is the model or the code that trains the AI. the other thing is the data that produces the weights which determines how the model predicts
of course, the obligatory fuck meta and the zuck and all that but there is a legal conundrum here we need to address that don’t fit into our current IP legal framework
my preferred solution is just to eliminate IP entirely
When part of my code base belongs to someone else, how do I make it open source? By open sourcing the parts that belong to me, while clarifying that it’s only partially open source.
I mean, you can have open source weights, training data, and code/model architecture. If you’ve done all three it’s an open model, otherwise you state open “component”. Seems pretty straightforward to me.