Ethan Mollick· @emollick · X·· 3 小时前
事实摘要
这话没错,但我要补充一点:那些在AI前沿工作的人用AI所做的事,与AI今天实际能做到的事之间的差距,正在变得更大!当今天的系统被恰当驾驭和应用时,我们其实并不真正了解它们的全部能力。
正文 · 原文
This is right, but I'd add that the distance between what someone who is working at the frontier with AI uses AI for and what AI can actually do today is growing even wider! We don't really understand the full capability of today's systems when properly harnessed & applied.
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now. The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way. But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now. I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either. With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.在 X 查看被引用的帖子
来源:Ethan Mollick · x.com