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Ethan Mollick:AI前沿与其能力之间的差距正在扩大
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- Ethan Mollick
- 引文
We don't really understand the full capability of today's systems when properly harnessed & applied.
发生了什么
这话没错,但我还想补充一点:那些在AI前沿工作的人用AI做的事,与AI今天实际能做到的事之间的距离,正在变得更大!如果今天的系统得到恰当的驾驭和应用,我们其实还不了解它们的全部能力。https://twitter.com/levie/status/2116029912243184006
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查看这件事的完整进展Ethan Mollick称,AI能力的发展速度已超过前沿用户的应用速度正文 · 中文版本尚未就绪(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. https://twitter.com/levie/status/2116029912243184006
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
这件事到目前为止
Ethan Mollick表示,即使是处于AI应用前沿的人们,实际使用AI的方式与当今系统真正能够做到的事情之间的差距也在扩大。他认为,当前系统的全部能力若得到恰当发挥和应用,仍未被充分理解。
每天一封,跟上 AI 的重要变化
模型发布、价格变化、算力进展,附原始来源。免费,确认后开始发送,随时一键退订。 看一份往期日报 · 2026-10-30
