Comment Re:Obvious answer (Score 1) 99
Because you had a specific goal in mind, knew what you were doing, knew about the different heatmap implementations available and gave precise instructions. You could probably have written this by hand yourself and it just would have taken a bit longer to do.
Problems come up when you have people who don't know what they're doing giving vague instructions to the LLM, and then blindly trusting the output. For instance if you said "draw a heatmap of $DATA" who knows what it would have come back with? it may well have tried to use the deprecated google api because there are likely a lot of examples online and in the LLM's training data.
LLMs are great when they're used to augment people who are already skilled in the art, and can generally help them save time doing a lot of the repetitive stuff. They're not some magic wand allowing someone with zero experience to achieve great results.