Mind Matters Natural and Artificial Intelligence News and Analysis

TagDouglas Hofstadter

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Concept of translation from different languages on an abstract world map

What Happens When You Feed a Translation Program Utter Nonsense?

Indiana University cognitive scientist Douglas Hofstadter had a lifelong acquaintance with and admiration for the Swedish language and with the help of Swedish friends, became conversant with it. That led him in turn to try an experiment on machine translation programs such as Google Translate and DeepL. At Inference Review, he tells us, “although — or perhaps because — these programs have improved by leaps and bounds over the past few years, I greatly enjoy discovering and poking fun at their many unpredictable weaknesses.” Thus the author of author of Gödel, Escher, Bach (1979) constructed a paragraph of pure nonsense in made-up Swedish, something like Lewis Carroll’s “Jabberwocky,” which plays around similarly with English: All mimsy were the borogoves, And Read More ›

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Sisters playing with wagon cart on the road outdoors

Artificial Unintelligence

The failure of computer programs to recognize a rudimentary drawing of a wagon reveals the vast differences between artificial and human intelligence

In 1979, when he was just 34 years old, Douglas Hofstadter won a National Book Award and Pulitzer Prize for his book, Gödel, Escher, Bach: An Eternal Golden Braid, which explored how our brains work and how computers might someday mimic human thought. He has spent his life trying to solve this incredibly difficult puzzle. How do humans learn from experience? How do we understand the world we live in? Where do emotions come from? How do we make decisions? Can we write inflexible computer code that will mimic the mysteriously flexible human mind?  Hofstadter has concluded that analogy is “the fuel and fire of thinking.” When humans see, hear, or read something, we can focus on the most salient features, its “skeletal essence.” Read More ›

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font, lead set, book printing

The Myth of “No Code” Software (Part III)

The complexities of human language present problems for natural language programming

Many visions of the future include humans programming through “natural language” — where humans merely state what they want and computers “figure out” how to write code that does what is requested. While there have been many demos that have led people to believe that this will be possible, the truth is, the idea has so many problems with it, it is hard to know where to begin. Let’s begin with the successes of natural language programming. Wolfram|Alpha is probably the best-known natural language programming system. You type in a command in natural English, and Wolfram|Alpha converts that command into native Mathematica code and runs it. In 2010, Stephen Wolfram announced that Wolfram|Alpha signified that natural language programming really was Read More ›

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Bingecast: Is Cheese Consumption Causing Deaths from Tangled Sheets?

Those dealing with data must always remember “If you torture data long enough, it will confess to anything.” The answers that computers give must themselves be questioned. Robert J. Marks and Gary Smith address artificial intelligence, spurious correlations, and data research on Mind Matters. Show Notes 01:34 | Introduction to Gary Smith, the Fletcher Jones Professor of Economics at Pomona Read More ›

Drawing gears

We went back to visit Gödel, Escher, and Bach…

Forty years after publication, how has a big explain-the-mind book withstood the test of time?

Is there evidence that human minds function like computers and can soon be reproduced in software, as Hofstadter believed?

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