If academic papers in a discipline can be mostly AI written, why credential scholars anyway? Perhaps the discipline itself is obsolete.
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The question of how to recognize a discovery without any criterion for recognition turned out to be Meno’s Paradox, from Plato’s dialogues.
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AI can solve a problem without understanding the proofs so the question arises, was anything learned that can be passed on?
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Without ignoring the threat, we need to see that insiders’ panic is often wrapped up in their personal stake in the problems and possible solutions.
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This year, Harvard Magazine featured an article that asserts that the Democrats have lost key tech industry endorsements. Let’s see if that matters.
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Meanwhile, some are asking if Claude’s Navier–Stokes proof really originated with a researcher and a math prof using the system.
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One really interesting feature of the opposition to data centers is that it pits the political left against the tech titans who have generously funded it.
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Generally speaking, bubbles exist when share prices and valuations are much higher than expected earnings (i.e., profits) would suggest.
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Grieftech poses genuine problems when avatars seem to keep the deceased unchanged in a changing world — or change just when we want them to.
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When the young people inherit the world, they can start getting tough with misuse and abuse but first they should take the time to learn how it works.
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Marks points out that model collapse means that AI can’t simply keep getting better by training itself until it becomes a superintelligence.
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Data centers will probably create jobs as well as eliminate them, which is usually what new technologies do, but environment concerns remain.
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Some claim that AI is merely a very sophisticated tool that will lead to stunning societal improvements, while others worry about potential dark negative effects.
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World political leaders like Donald Trump should be much more concerned about these developments; they could easily leap out of the lab.
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For secularists who do not take this story literally, it can also be understood as a metaphorical literary device on the fall of Man, as there is no doubt that anyone who tries to play the part of God ends up ‘toast’ and buried.
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The real concern is that AI can find, combine, and carry out existing malicious techniques much faster and on a much larger scale than the human one.
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Reading for entertainment alone will become increasingly rare. I expect we will return to a culture where people who read are mainly looking for new ideas.
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Some tech bros are even questioning the corporate benefits from generative AI, a year after academic analyses started questioning them.
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AI “immigrants” like me tend to approach artificial intelligence with a healthy measure of skepticism. AI natives, who grew up with it, should learn this too.
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Moore’s Law states that the number of transistors on a computer chip doubles about every two years. But Moore’s Law must eventually stop at the Planck length.
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