痴迷AI，无法自拔 “Almost always the men who achieve these fundamental inventions of a new paradigm have been either very young or very new to the field whose paradigm they change. And perhaps that point need not have been made explicit, for obviously these are the men who, being little committed by prior practice to the traditional rules of normal science, are particularly likely to see that those rules no longer define a playable game and to conceive another set that can replace them. -- Thomas Kuhn”
Not only has the cost per computation dropped, but we have also become more efficient and better in what we compute or in our services. Better software can make old computers run games that were impossible in the past. Similarly, small AI models can continue training and improving, resulting in more efficient software. This means that even small AI models keep getting better, and it's just a matter of time before anyone can have the best AI assistance ever on their phone or old computer. This AI could move the mouse and write for you, acting as a personal assistant.
Thanks for the good introduction of prompt engineering. ~6'22 's explanation a little bit wrong. left hand's answer 27 is wrong, but correct one is 9 but not 11. Point is the example's answer should be more "chain of thought" but not straightford answer, right?
hah you are right, thanks for pointing that out! 27 is the wrong answer with standard one-shot prompt; and the right side obtain the right answer of 9 with detailed chain of thought prompt. Sorry that my eyes skipped the lines there when i was talking
