原帖引用 · AI 翻译
走在前沿的人和其他所有人，如今仿佛生活在不同的年份。https://t.co/xEDnXFkGYA
眼下，在人工智能前沿工作的人与基本上其他所有人之间的差距之大，几乎令人难以理解。
不可思议的是，这两条线并没有趋于汇合，而是越离越远。如果人工智能的进步曲线已经趋于平缓，那肯定会给大多数人和公司时间，让他们赶上来，或以标准化的方式将其融入工作流程。这项技术会抹平竞争优势，因为每个人都会以同样的方式使用它。
但实际发生的恰恰相反。人工智能的进步曲线现在基本上正直线上升，这意味着，即使你在 3-6 个月前就把流程固定下来，现在很可能又落后了。再想想大多数一年前开始行动、以为已经大功告成的公司。如今他们落得更远了。
在我的人生和职业生涯中，我从未见过一项技术以这样的速度进步；这也意味着，你需要以相近的速度提高自己的预期。我们的大脑并不适应这种节奏，组织变革管理流程当然也不适应。
只要出现任何形式的递归式自我改进，情况就会变得更加出人意料。在这样的时期，你需要不断重新审视几个月前还行不通的事情，看看现在是否已经能够解决。正因如此，人工智能原生公司眼下无疑拥有很大的优势；接下来的问题是，大公司能否跟上。真是疯狂的时代。
原文
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.