It’s a very important question. There are of course two obvious readings/real concerns: (1) the untested IP issues concerning models trained on code from outsid

It’s a very important question. There are of course two obvious readings/real concerns: (1) the untested IP issues concerning models trained on code from outside the firm, (2) the possibility of unreliable code. From my experience working with LLMs heavily since January, I would articulate my philosophy as “LLMs cannot be authors” — this is just to say, “authorship” is less about having actually created or having done the work, but being legally liable which is to say having skin in the game. Assuming for a second IP issues are not a concern, my rule for developers (or content creators) post-GPT: “you now have more responsibility for errors in your code than before, use whatever tools allow you to be most certain.” I hope that this is the world we are entering, not of generalized irresponsibility or irrelevance of humans in an automated world, but that we finally focus on what we decide really needs doing (thus of course that deciding itself) and taking responsibility that it be done as best as possible, however that may be.