The Great Decoupling
As Brynjolfsson and McAfee point out in The Second Machine Age, over the past thirty years, the United States has seen steady growth in worker productivity but stagnant growth in median income and employment. Brynjolfsson and McAfee call this “the great decoupling.” After decades when productivity, wages, and jobs rose in almost lockstep fashion, t
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
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Economic opportunities for our avatars | Social Mobility in the Digital Age | L'Atelier
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In three words: deep learning worked.
In 15 words: deep learning worked, got predictably better with scale, and we dedicated increasing resources to it.
That’s really it; humanity discovered an algorithm that could really, truly learn any distribution of data (or really, the underlying “ru... See more
samaltman.com • The Intelligence Age
How did we get to the doorstep of the next leap in prosperity?
In three words: deep learning worked.
In 15 words: deep learning worked, got predictably better with scale, and we dedicated increasing resources to it.
That’s really it; humanity discovered an algorithm that could really, truly learn any distribution of data (or really, the underlying “rules” that produce any distribution of data). To a shocking degree of precision, the more compute and data available, the better it gets at helping people solve hard problems. I find that no matter how much time I spend thinking about this, I can never really internalize how consequential it is.
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
amazon.comL'Atelier • Economic opportunities for our avatars | Social Mobility in the Digital Age | L'Atelier
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Rob May • 5 Contrarian AI Theses For Early Stage Investors
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