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Ethan Mollick Says the Gap Between AI’s Frontier and Its Capabilities Is Growing
- Who
- Ethan Mollick
- What
- argues the gap between frontier AI users and what current systems can do is widening
- Quote
We don't really understand the full capability of today's systems when properly harnessed & applied.
What happened
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
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See the full storyEthan Mollick Says AI Capabilities Are Outpacing Even Frontier Users’ ApplicationsThis 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.View the quoted post on X
The story so far
Ethan Mollick said the gap between what even people working at the frontier of AI use it for and what today’s systems can actually do is widening. He argued that the full capabilities of current systems, when properly harnessed and applied, remain poorly understood.
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