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Re:91% of ML Models Degrade over Time by usrusr on Friday April 14, 2023 @05:04AM (#35567187)
In music terms, putting note patterns that would be considered overused tropes in jazz (that's why the ML model would so easily come up with them) on a hiphop beat, in cookie-cutter death-metal instrumentation and mix, arranged in trance buildup/break/release structure?

LLM might occasional fill certain gaps (like one programming subculture being completely ignorant about a certain approach that is well established in another), but from its perspective, a transfer like that would be more a failure to hit the target style than an achievement. It's like learning scala from stackoverflow vs learning php from stackoverflow: one leads you deep into monad fundamentalism, the other into "how can this be bad if it works???"

Re:91% of ML Models Degrade over Time by hammyhavoc on Friday April 14, 2023 @06:40AM (#35567859)
I'm concerned that quality of code is going to degrade further as a result of people leaning heavily on these technologies, despite any future improvement, it isn't the same as a human being giving something thought.
Re:91% of ML Models Degrade over Time by pclmulqdq on Friday April 14, 2023 @08:43AM (#35568917)
We're going to discover that a lot of code doesn't take much thought.
Re:91% of ML Models Degrade over Time by hammyhavoc on Friday April 14, 2023 @08:48AM (#35568958)
The performance of Microsoft Teams suggests otherwise.
Re:91% of ML Models Degrade over Time by marcosdumay on Friday April 14, 2023 @10:59AM (#35570270)
If you are ok with a lot of code, that doesn't take much thought.