Wow, I'm impressed. I pay for GPT-4 and Gemini Ultra, just to try to keep tabs on where the latest and greatest are. I recently had a slack conversation with s

Wow, I'm impressed. I pay for GPT-4 and Gemini Ultra, just to try to keep tabs on where the latest and greatest are. I recently had a slack conversation with some friends, and someone introduced the made up acronym DILCOLTK, in the context of someone talking about being a DINK and mentioning how cheap things were where they lived. A clever human could infer it to be "Dual Income Low Cost of Living Two Kids", but out of curiosity I tried pasting a bit of the conversation into GPT-4 and Gemini Ultra and Groq, and asking what DILCOLTK referred to. I realize by the way these models tokenize the inputs, it might not be quite a fair question because they maybe can't "see" every letter. GPT-4 gave "Dual Income Low Cost of Living LTK", Gemini Ultra gave "Dual Income Low Cost of Living One Tiny Kid" (lol), and Groq suggested "Dual Income Low Cost of Living One Kid Two Kid", so all were admirably close but none quite right. But phind-70B just now got it right! Color me surprised and impressed. I also asked it a SwiftUI question I'd struggled with, and which I asked the other models about, and it did I'd say a bit better there as well. So I guess I'll have to add this to my list of models to try and keep tabs on!