Amanda Askell

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Introduction

If you extrapolate the curves that we've had so far, right? If you say, "Well, I don't know, we're starting to get to PhD level, and last year we were at undergraduate level, and the year before we were at the level of a high school student," again, you can quibble with what tasks and for what. "We're still missing modalities, but those are being added," like computer use was added, like image generation has been added. If you just kind of eyeball the rate at which these capabilities are increasing, it does make you think that we'll get there by 2026 or 2027. I think there are still worlds where it doesn't happen in 100 years. The number of those worlds is rapidly decreasing. We are rapidly running out of truly convincing blockers, truly compelling reasons why this will not happen in the next few years. The scale-up is very quick. We do this today, we make a model, and then we deploy thousands, maybe tens of thousands of instances of it. I think by the time, certainly within two to three years, whether we have these super powerful AIs or not, clusters are going to get to the size where you'll be able to deploy millions of these.