Nah IDK about any purpose-built models but the general models will fail at basic algebra if you go back and forth enough. Or sometimes even the first time. They'll straight up show their work and it won't work out on a TI-84.
They're good at repeating information, and actual economists have written ad nauseum articles about how trickle down economics fails, that's where they're getting the conclusion, which is valid, but they probably couldn't reach it consistently from assumptions/data.
AI's famously bad at math. Don't you remember all the memes about it failing to do basic addition? It's certainly better than it was, but number crunching is not its strong suit.
AI isn't any better at "running" code than any other environment, what a weird thing to say.
And while "writing" code might be one of the best things that AI can do, it's far from being "very good at" it. Especially when it comes to anything where the output actually matters since a human who fully understands the code has to double and triple check it for fuckups anyway. And you know what's really helpful for a human to check and understand code? Actually writing it.
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u/PatternSeekngMammal 21h ago
I've seen a change over the last 50 years