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Everything relevant to the thought... It takes a year or two to spin up the capacity, but it's not rocket science. These are also largely global industries, so they won't be constrained by US labor supply. ...
... It might take another year or two, especially for car companies waiting for computer chips. But they'll get there. And when they do we should see durables prices start to trend back down again. A bunch more charts that explain the economy here. https://t.co/gtVBWwesGH ...
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... With this insight, we turn to the field of Artificial Intelligence (AI) and find that, while still far from demonstrating general intelligence, many state-of-the-art deep learning methods have begun to incorporate key aspects of each of the three functional theories. ...
... Given this apparent trend, we use the motivating example of mental time travel in humans to propose ways in which insights from each of the three theories may be combined into a unified model. ...
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... Where causality comes in is when we venture to model the 1/2 https://t.co/AmgYUOenjq ...
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... Thread… Here’s my basic understanding of the model: the economy has some industries that are capital intensive and others that are not. When the central bank makes interest rates artificially low, it makes capital investment cheap and skews the economy toward capital intensive sectors. ...
... The period through the end of 2007 arguably fits the austrian model. There was arguably over investment in residential home construction. In 2006 and 2007 the home building industry was contracting while other industries were still growing. But in mid 2008, the situation changed. ...
... I can’t figure out how to explain this period with an Austrian model. I don’t see why anyone would consider this kind of mass unemployment necessary or how it set us up for stronger growth later. ...
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... Looser money could have produced a 10 or 20 percent price drop in housing rather than 30 percent. That would have meant a milder recession and perhaps no financial crisis in 2008. Oops I linked to the wrong article at the top of this thread. ...
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... Deepmind focuses on general learning faculties. In contrast Open AI focus on understanding (or the appearance of it depending on how you define "understand".) ...
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... Unlike the Internet era, AI R&D requires much larger capital expenditures. This gives tech giants an advantage. ...
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... The only other company with a commitment to AI at a similar level was FB. Its pivot to Metaverse means that AI will not be (and probably never has been) its core strategy. Microsoft is never about cutting-edge innovation. Apple has never obtained a deep understanding of AI. ...
... Amazon is too pragmatic and revenue-driven for making AI it's core. ...
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... it’s pretty obvious, who you might think”—but he suggests that the AI industry’s culture of publishing its findings openly may soon need to end. ...
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... We can understand it through biology, evolutionary theories, social science. Almost every aspects of human behavior can be explained with the internal logic discovered by these scientific studies. ...
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... Models can be seen as the math representation of hypotheses ...
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