Book description
Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.
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How Afraid of the A.I. Apocalypse Should We Be?
How Afraid of the A.I. Apocalypse Should We Be?
Eliezer Yudkowsky is as afraid as you could possibly be. He makes his case.
Yudkowsky is a pioneer of A.I. safety research, who started warning about the existential risks of the technology decades ago, – influencing a lot of leading figures in the field. But over the last couple of years, talk of an A.I. apocalypse has become a little passé. Many of the people Yudkowsky influenced have gone on to work for A.I. companies, and those companies are racing ahead to build the superintelligent systems Yudkowsky thought humans should never create. But Yudkowsky is still out there sounding the alarm. He has a new book out, co-written with Nate Soares, “If Anyone Builds It, Everyone Dies,” trying to warn the world before it’s too late.
So what does Yudkowsky see that most of us don’t? What makes him so certain? And why does he think he hasn’t been able to persuade more people?
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