4 ms·

I'm not really sure what I'm looking at. It seems to perform flawlessly for me... when using Python: https://chat.openai.com/share/7e048acb-a573-45eb-ba6c-2690d

I'm not really sure what I'm looking at. It seems to perform flawlessly for me... when using Python: https://chat.openai.com/share/7e048acb-a573-45eb-ba6c-2690d2b8ee93 https://chat.openai.com/share/7e048acb-a573-45eb-ba6c-2690d2... I only made two changes to your prompt: one to specify Python, and another to provide explicit instructions to trigger using the Advanced Data Analysis pipeline. You also had a couple typos. I'm not sure if "Programming-like tool that reflects programming language popularity performs poorly on unpopular programming language" is the gotchya you think it is. It performs extremely well authoring Kubernetes manifests and even makes passing Envoy configurations. There's a chance that configuration files for reverse proxy configuration DSLs have better representation than F# does. I guess if you disagree at how obscure F# is, you're observing a real, objective measurement of how obscure it is, in the fascinating performance of this stochastic parrot.

ryanjshaw 3y ago
F# fields are immutable unless you specify they are mutable. The question I posed cannot be solved with exclusively immutable fields. This is basic computer science, and ChatGPT has the knowledge but fails to infer this while providing flawed code that appears to work. An inexperienced developer would eventually shoot themselves in the foot, possibly long after integrating the code thinking it was correct and missing the flaws. FYI, your Python code works because of the mutation "extend()": alice.children.extend([bob, carol])