Even when we get a quantum leap forward, it quickly signals that it too is a dead end for the bolder ambitions of true AGI.
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Computer scientist and entrepreneur Erik J. Larson, author of The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do (2021), asks us to look at life in the aftermath of the big new world that computers are supposed to create: But the “bureau of statistics” mindset is now a problem. It dominates thinking everywhere, not just in technology businesses aiming for sticky ads and more captive users. Nearly every institution one can point to today, from government to science, media, medicine, insurance, and many others, embraces a centralized, data-capture model requiring massive computing resources and actively downplaying human ingenuity in favor of number crunching and prediction. More troubling perhaps, is the way this has shaped the zeitgeist. Read More ›
In “Hyping Artificial Intelligence Hinders Innovation” (podcast episode 163), Andrew McDiarmid interviewed Erik J. Larson, programmer and author of The Myth of Artificial Intelligence (Harvard University Press, 2021) on the wrong path in terms of what machines can and can’t do. Now they look at the critical fact that Big Data can easily be the enemy of new ideas. https://episodes.castos.com/mindmatters/34ce0d74-aa74-4ad9-9599-e9ddf2be56a7-Mind-Matters-News-Episode-163-Erik-Larson-.mp3 This portion begins at roughly 30:00 min. A partial transcript and notes, Show Notes, and Additional Resources follow. Andrew McDiarmid: Are there lessons about the ethics of innovation from the past that would be useful to us today? Can you think of anything they learned about innovation in the past that we could really learn from as we’re innovating today? Read More ›
Yesterday, we were looking at the significance of AI researcher Erik J. Larson’s new book, The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do, contrasting it with claims that AI will merge with or replace us. Some such claims are made by industry insiders like Ray Kurzweil. But more often we hear them from science celebs like the late Stephen Hawking and Richard Dawkins, who, on these topics, are more known than knowledgeable. So why does Larson think they are wrong? He offers two arguments. First, as information theorist William Dembski explains, is that there are some kinds of thinking that, by their nature, computers don’t do: With regard to inference, he shows that a form Read More ›
AI researcher and tech entrepreneur Eric J. Larson has just published a book debunking the claims that AI is taking over.
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