Even limiting its scope can be risky, if it's a complex problem in a niche that's not well-represented in the training data. Been learning Gleam lately, and yes

Even limiting its scope can be risky, if it's a complex problem in a niche that's not well-represented in the training data. Been learning Gleam lately, and yesterday when wrapping my head around recursion was starting to give me a headache, I tried to ask Gemini Pro to write a function. It needed to recurse down a tree, perform a function on each child that requires information accumulated from each of its ancestors, and return all nodes in the tree as a flat list. It returned over 600 lines of code across 3 code blocks, almost all of them commented out for some reason, each with an accompanying essay, and each stuffed with hallucinated and unnecessary helper functions. Apparently Gemini Pro struggles to wrap its weights around recursion more than I do. I just wrote it myself and only needed 26 lines. It's not using tail calls, but hey, my target platform still doesn't support tail call optimization in 2025 anyway.