No, that’s not what they are saying. They’re saying that the code generated by a human with help from an LLM may potentially be. This is what I hope we are going to arrive at, eventually.
No, that’s not what they are saying. They’re saying that the code generated by a human with help from an LLM may potentially be. This is what I hope we are going to arrive at, eventually.
How could you establish what parts of the code was produced by an LLM vs updated by a human afterwards?
The LLM will output different results over time as the models get updated. Are we heading towards needing to retain a full prompt history that can be replayed against a specific LLM model version to prove what the output was for copyright purposes?