All real estate is local but, despite bubbles, it is generally better to buy than rent.
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The challenge, moving on, is that better scholarship means listening to those who challenge conventional ideas instead of serially editing them.
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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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Before AI companies buy up all remaining physical copies of older, rare, out-of-print, obscure, or nearly forgotten books, we can buy our own copies.
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Significantly, no administrators who were contacted recommended reducing schools’ budget woes by reducing the number of administrators.
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AI companies are using physical books to train them for their large language models since these texts aren’t already ridden with AI-generated writing.
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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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The LLMs’ hallucinations could end up getting them severely restricted in Europe, depending on the outcome of a recent legal challenge for defamation.
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The inventions that changed our lives for the better were usually accompanied by speculation bubbles and busts. LLM firms will likely attract the same fate.
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Many commentators seem to have forgotten Goodhart’s Law: When a measure becomes a target, it ceases to be a good measure.
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OpenAI needs to show that ChatGPT is more than just the first publicly available LLM. It has not done that and maybe never will.
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Recently, talk of a bubble has increased as it has become clear that OpenAI, and likely other AI software companies, may never become profitable.
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In Homann’s view, AI is best seen as “autocomplete with ambition.” But that doesn’t mean it can’t be quite useful.
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When considering a mortgage, the correct comparison is not total payments but the return on the borrowed money versus the loan’s annual percentage rate.
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Mayne noted that many college students today are more entrepreneurial-minded than in the past. They’re turning their anxiety about the future into productivity.
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AI software startups should be required to release audited numbers so that we can at least understand the current state of the AI economy.
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A real-world example of such struggles is the poor performance, in general, of AI-powered mutual funds.
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Relativity Space likes to call itself a “customer-centric rocket company.” When we hear a tag line like that, we know times have changed.
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