Mind Matters Natural and Artificial Intelligence News and Analysis

TagSteve Jobs

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New ideas or transformation concept with crumpled paper balls and a crane, teamwork, creativity, business concept

Stranger Things: Why Mad Scientists Are Mad

At the highest levels, creativity seems to bypass the deliberate, structured thought process altogether
The real danger of reductionism is not just that it fails to explain creativity, but that it actively encourages dismissal of what cannot be reduced. Read More ›
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AI robot sitting on a chair next to an elderly man with coffee, both waiting for a job interview. AI vs human concept. futuristic technology coexisting with people in a professional environment

The Linda Problem Revisited, As If Reality Matters

Part 2: AI enthusiasts use false claims for humans' “natural stupidity” to bolster claims for machine intelligence
The people who flunked the Linda problem were not biased; they just assumed there was some POINT to telling them that Linda was active in social justice issues. Read More ›
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Hand holding smartphone with media icons and symbol

Arizona Fights Back Against Big Tech App Store Monopoly

North Dakota’s anti-monopoly legislation was defeated but Arizona’s passed

Big tech, flexing political muscles, is starting to get pushback at the state level. Political analyst Matt Stoller tells us a tale of two states: A loser and a winner: Two weeks ago, Apple and Google managed to defeat a major bill in North Dakota to force competition in app stores. This week, the Arizona House of Representatives defied the tech giants and passed the very same bill… Matt Stoller, “Apple Threatens North Dakota, Suffers Crushing Loss in Arizona: “A Lot of It is Just Fear”” at Substack Even sovereign states like Australia have felt the heat from pushing back against the likes of Facebook. Facebook blocked access to the Australian government’s Facebook pages during the forest fire season, due Read More ›

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Jellybean Candy in a Jar

The Wisdom of Crowds: Are Crowds Really Wiser Than Individuals?

According to the theory, with a large number of guessers, the median number is very likely to be close to the true value

Statistician Sir Francis Galton went to a country fair in 1907 where a prize was to be awarded to the person who made the most accurate guess of the butchered weight of an ox that was on display. Galton collected and analyzed the 787 guesses and, not surprisingly, found that some guesses were far too high and others were much too low. However, the average guess (1,197 pounds) was only 1 pound lower than the actual weight (1,198 pounds). The average was more accurate than the guesses of the vast majority of both the amateurs and the experts. In the 1980s, a finance professor named Jack Treynor (1930–2016) performed a similar, and now legendary, experiment with jelly beans. Professor Treynor Read More ›