"All economic bubbles are hugely destructive, but some ... leave behind (useful) wreckage that can be salvaged":
Which type is the AI bubble? We'll have "a legion of technologists who are learning Tensorflow and Pytorch", but while "nominally open source" they're bound to Google and Facebook - "if those environments go away, those programming skills become a lot less useful".
The cost of each AI query includes "a massive primary energy bill... [another] for the chillers, and a titanic wage bill for the specialized technical staff. Once investor subsidies dry up, will real-world ... applications cover these running costs?"
Plot those applications on a value vs. risk tolerance 2x2 grid. Most applications driving the high valuations we see are high-value but only if they're risk-tolerant. However, they're not risk-tolerant.
"The profit-generating pitch for high-value AI applications lies in creating “reverse centaurs”: humans who serve as appendages for automation ... But unless [they're] intrinsically risk-tolerant, they are poor candidates for automation" - cf:
Unfortunately, "risk-tolerant applications are almost all low-value; while nearly all the high-value applications are risk-intolerant."
What will be left? "smaller models... run on commodity hardware... [with] communities ... formed around them", pushing their limits "far beyond their original manufacturers’ beliefs about their capacity".
But there'll be a lot of wreckage. Big AI models may be "integrated into the processes of the productive economy", and then disappear. "no one is asking, “What will we do if” — when — “the AI bubble pops and most of this stuff disappears overnight?” "
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More Stuff tagged ai , bubble , open source , economics , centaur , cory doctorow
See also: Digital Transformation , Innovation Strategy , Science&Technology
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