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Notes -
I don't ask it to write code then plunk it into my projects - I agree that it sometimes gets things wrong there (although you can point out errors and it'll acknowledge and often fix them). What I use it for is to talk through my problems (it's not a rubber duck, because it's replying with knowledge I didn't have before). It uses its vast breadth of knowledge to help me with things like syntax, library functions, simplifying code, debugging a compile error, etc. ChatGPT is bit rougher, but Bing AI has even been smart enough to challenge me when I'm giving it mistaken information, asking follow-up questions that get me to the root of my problem (like a coworker would).
So, I don't want really want to argue the Chinese Room philosophy of when language understanding starts to "count". All I know is what my lying eyes are telling me: I'm now conversing with my computer in completely natural language, and it hasn't once failed to understand me. (Its reply hasn't always been helpful or right, but it's always made sense.) It's important to resist the cynicism of finding ways to break the LLM and going "oh, it's lame after all". Even if LLMs somehow never get any smarter, even if they're not on the critical path to AGI, just the capabilities we've already seen are enough for them to change the world.
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