I think this summarizes in one conversation what is so fucking irritating about this thing: I am supposed to believe that it wrote that code.
No siree, no RAG, no trickery with training a model to transform the code while maintaining identical expression graph, it just goes from word-salading all over the place on a natural language task, to outputting 100 lines of coherent code.
Although that does suggest a new dunk on computer touchers, of the AI enthusiast kind, you can point at that and say that coding clearly does not require any logical reasoning.
(Also, as usual with AI it is not always that good. sometimes it fucks up the code, too).
That’s what I was going to say. The natural language version actually claims that it leaves the dog behind unattended in every step, even though the following step continues as though it still has the dog and not whichever vegetable it brought back in the previous step.
Either it’s not actually good at natural language processing or some element of the solution isn’t surviving the shift from the river_cross() tool to natural language output. Whatever actual state it’s tracking internally doesn’t track to the output past the headline.