CheatGPT? OpenAI’s Awkward Moment
Deep Dives
Explore related topics with these Wikipedia articles, rewritten for enjoyable reading:
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Luddite
13 min read
The article references Luddites as historical figures who resisted technological change, but most readers only know them as a dismissive label. Understanding the actual 19th-century movement—skilled textile workers who destroyed machinery threatening their livelihoods—provides crucial context for evaluating whether today's AI concerns are similarly misguided or prescient.
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Technological unemployment
2 min read
Hinton's central argument challenges the long-held economic assumption that technology creates more jobs than it destroys. This Wikipedia article traces the centuries-long debate from Ricardo to Keynes to modern economists, providing the theoretical framework needed to evaluate whether AI represents a genuine break from historical patterns.
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Geoffrey Hinton
14 min read
Understanding Hinton's specific contributions to deep learning and neural networks—particularly backpropagation and Boltzmann machines—helps readers grasp why his warnings carry such weight. His recent departure from Google to speak freely about AI risks adds important context to his Bloomberg interview quoted in the article.
AI luminary Geoffrey Hinton has not been speaking like a laureate basking in the glow of his 2024 Nobel Prize. He is sounding more like Alfred Nobel himself, troubled by the misuse of his invention (of dynamite) — or J. Robert Oppenheimer, horrified at the nuclear weapons he helped bring into the world. The neural networks expert, widely seen as one of the fathers of artificial intelligence, has argued in a series of interviews that the economy cannot make money from AI unless human labor is replaced at devastating scale. If we were still a society that listened to experts, this would be an earthquake.
That’s because for centuries we have been reassuring ourselves with the same story: technological revolutions destroy some jobs but create others — better and more numerous. We mocked the Luddites for smashing looms, insisting that markets always rebalance. The tractor eliminated farm jobs but created the factory; the spreadsheet ended the typing pool but gave birth to IT departments. It held for a long time, and drove once-unimaginable levels of prosperity, first in the West and then spreading all over the world.
Hinton doesn’t think it holds anymore. “Some economists say these big changes always create new jobs. It’s not clear to me that this will, and I think the big companies are betting on it causing massive job replacement by AI — because that’s where the big money is going to be,” he told Bloomberg TV recently. “Can the investment — the trillion dollars or more investment … pay off without destroying jobs? I believe that it can’t. I believe that to make money you’re going to have to replace human labor.”
Put another way: The global economy is not collectively spending so much on AI research, advanced chips and cloud storage infrastructure to make humanity more fulfilled or to make workers 10 percent more productive — but to eliminate them. Capitalism demands returns and the simplest path is labor replacement. And since our society is organized so that both income and much of fulfilment come from employment, that’s catastrophic for individuals even if it’s profitable for companies. Could this be so?
Maybe. But the story may be more complicated still, because the economics of this have not yet played out — and the landscape is shifting ting all the time.
This excerpt is provided for preview purposes. Full article content is available on the original publication.