Mind Matters Natural and Artificial Intelligence News and Analysis

TagKevin Kelly

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Advanced High Precision Robot Arm inside Bright Electronics Factory. Electronic Devices Production Industry. Component Installation on Circuit Board. Fully Automated Modern PCB Assembly Line.

Surprise: Artificial intelligence Is Still Just Automation

I wrote this in 2016. And it is still true in 2025. A reflection in three parts

When I first wrote this almost a decade ago, “AI” was already a cultural Rorschach test. To some, it was exciting and futuristic. To others, it was ominous, Orwellian, or just marketing spin. Automation, by contrast, was the unglamorous cousin that conjured images of soulless machines taking over the last shreds of human purpose. But from the start, my view was simple: what we call “AI” today is still just automation. And automation is not a mind. That argument has aged better than I expected. In the years since, we’ve seen an explosion of so-called AI — from self-driving cars to ChatGPT — yet the distinction between AI and automation remains almost universally misunderstood. Recently, computational linguist Emily Bender and Read More ›

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Intelligent robot cyborg using digital globe interface 3D rendering

Why AI Geniuses Think They Can Create True Thinking Machines

Early on, it seemed like a string of unbroken successes …

In George Gilder’s telling, the story goes back to Bletchley Park, where British codebreakers broke the “unbreakable” Nazi ciphers. In Gaming AI, the tech philosopher and futurist traces the modern concept of a machine that really thinks for itself back to its earliest known beginnings. Free for download, his concise book also explains why the programmers were bound to fail in their quest for the supermachine. But let’s start with why they thought—and many today still think— it could work. Success emboldened the pioneers to dream of a final AI triumph They had every reason to be emboldened by success. Special computers called “bombes,” created by Alan Turing’s team, broke every version of the famous Enigma code used by the Read More ›

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Superintelligent AI Is Still a Myth

Neither the old classical approaches nor the new data scientific angle can make any headway on good ol’ common sense

The official Winograd Schema Challenge, organized by Levesque and friends to see if AI could learn common sense, was retired officially in 2016 for the embarrassing reason that even the well-funded bleeding age Google Brain team performed poorly on a test set of a few hundred questions.

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