"Yeah, six months ago, I would have said the first thing to be disrupted is these kind of entry-level white-collar jobs like data entry or document review for law or the things you would give to a first-year at a financial industry company where you're analyzing documents. And I still think those are going pretty fast, but I actually think software might go even faster."
"And what we're going to see is first, the model only does a piece of what the human software engineer does and that increases their productivity. Then even when the models do everything that human software engineers used to do, the human software engineers take a step up and they act as managers and supervise the systems. And so This is where the term centaur gets used, right? Yes, yes To describe, essentially, man and horse fused, A.I. and engineer working together."
"I think my worry is just that it's all happening so fast, right? People talk about previous disruptions, right? They say, Oh yeah, well, people used to be farmers. Then we all worked in industry. Then we all did knowledge work. People adapted. That happened over centuries or decades. This is happening over low, single-digit numbers of years. And maybe that's my concern here. How do we get people to adapt fast enough?"
Artificial intelligence will change the world faster than previous revolutions. Entry-level white-collar roles such as data entry, document review for law, and junior financial-analyst tasks face rapid disruption. Software engineering may be displaced even faster, initially augmenting engineers and boosting productivity. Models will first perform parts of engineering tasks, then eventually handle end-to-end development while humans shift to managerial and supervisory roles. The current phase resembles a 'centaur' collaboration of AI plus engineer, possibly increasing short-term demand for engineers. The overall transition will occur over a few years rather than decades, creating urgent challenges for workforce retraining and rapid adaptation.
Read at www.nytimes.com
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