this post was submitted on 13 Nov 2024
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As I use copilot to write software, I have a hard time seeing how it'll get better than it already is. The fundamental problem of all machine learning is that the training data has to be good enough to solve the problem. So the problems I run into make sense, like:
2 and 3 could be alleviated, but probably not solved completely with more and better data or engineering changes - but obviously AI developers started by training the models on the most useful data and strategies that they think work best. 1 seems fundamentally unsolvable.
I think there could be some more advances in finding more and better use cases, but I'm a pessimist when it comes to any serious advances in the underlying technology.
So you use other people's open source code without crediting the authors or respecting their license conditions? Good for you, parasite.
Programmers don't have the luxury of using inferior toolsets.
That statement is as dumb as it is non-sensical.