Mind Matters Reporting on Natural and Artificial Intelligence

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Business Prof: Stop It! The World is NOT Running Out of Stuff!

A famous bet between two top thinkers settled that a long time ago

Recently, Jay Richards interviewed Dr. Gale Pooley, Professor of Economics at BYU-Hawaii, on the myth that we are running out of resources and doomed to future scarcity. Even though media pundits often claim it is true, the numbers say it is a myth. The story begins with a famous bet between two professors… From the interview: The bet was whether basic commodity prices would rise between September 29, 1980 and September 29, 1990. The professors who made the bet were Stanford insect biologist Paul Ehrlich (1932–), author of bestseller The Population Bomb (1968), and economist Julian Simon (1932–1998) Ehrlich bet yes and Simon bet no. Gale Pooley: First of all, what was interesting about Julian Simon, he reads Ehrlich’s book…

Plant Growing Out Of Coin Jar On Table In Office - Investing / Business Success Concept

Jay Richards Talks Business with Bill Walton

Richards's book, "Money, Greed, and God" is newly reissued in a 10th anniversary edition
Business studies prof and philosopher Jay Richards argues that we can;t separate economic and social issues. A vibrant market economy, vibrant economic growth requires a solid foundation in family, civil society, rule of law and religion. Read More ›
Artificial intelligence electronic circuit. Microchip with glowing brain. 3D rendered illustration.

Science Uprising: Stop Ignoring Evidence for the Existence of the Human Mind!

Materialism enables irrational ideas about ourselves to compete with rational ones on an equal basis. It won’t work
If materialism were true, we would probably already have found the consciousness gene and the wobbly free will knob in the brain. Instead, we are left with the infamously Hard Problem of Consciousness and bizarre materialist attempts to make it Go Away. Read More ›
Dr. Michael Egnor, M.D.

Neurosurgeon Outlines Why Machines Can’t Think

The hallmark of human thought is meaning, and the hallmark of computation is indifference to meaning.
A cornerstone of the development of artificial intelligence is the pervasive assumption that machines can, or will, think. Watson, a question-answering computer, beats the best Jeopardy players, and anyone who plays chess has had the humiliation of being beaten by a chess engine. Does this mean that computers can think as well as (or better than) humans think? Read More ›