Yes, GPT 3.5 and less is particularly dangerous in this regard. I'd try this again against GPT-4 which should perform better. Essentially false information seem

Yes, GPT 3.5 and less is particularly dangerous in this regard. I'd try this again against GPT-4 which should perform better. Essentially false information seems to go away _slowly_ with increased model sizes but then you hit the performance/hardware requirement barriers instead, and run into awkward token limits or high running costs. ChatGPT thought hippos could swim when I asked but only GPT-4 realized they can't, but instead walk along the sea floor, or leap forward in deeper waters. That's a simple test for wrong inference since you'd _expect_ otherwise, given they spend so much time in water. I wonder if we are truly "there" yet or if we at the very least need a more optimized "GPT-4 Turbo" for some real progress. Until then, we may hallucinate progress as much as the AI hallucinates answers!