検索キーワード： 著者 "Eliezer Yudkowsky" すべてのカテゴリー

Eliezer Yudkowsky’s Inadequate Equilibria is a sharp and lively guidebook for anyone questioning when and how they can know better, and do better, than the status quo. Freely mixing debates on the foundations of rational decision-making with tips for everyday life, Yudkowsky explores the central question of when we can (and can’t) expect to spot systemic inefficiencies, and exploit them.

The scramble to create superhuman AI has put us on the path to extinction – but it's not too late to change course. Companies and countries are in a race to build machines that will be smarter than any person, and the world is devastatingly unprepared for what will come next. How could a machine superintelligence wipe out our entire species? Will it want to? Will it want anything at all?

What does it actually mean to be rational? The kind of rationality where you make good decisions, even when it's hard; where you reason well, even in the face of massive uncertainty; where you recognize and make full use of your fuzzy intuitions and emotions, rather than trying to discard them. In Rationality: From AI to Zombies, Eliezer Yudkowsky explains the science underlying human irrationality with a mix of fables, argumentative essays, and personal vignettes. These eye-opening accounts of how the mind works (and how, all too often, it doesn't) are then put to the test through some ...

What does it actually mean to be rational? Not Hollywood-style "rational", where you forsake all human feeling to embrace Cold Hard Logic, but where you make good decisions, even when it's hard; where you reason well, even in the face of massive uncertainty; where you recognize and make full use of your fuzzy intuitions and emotions, rather than trying to discard them. In Rationality: From AI to Zombies, Eliezer Yudkowsky explains the science underlying human irrationality with a mix of fables, argumentative essays, and personal vignettes.

In 2023, hundreds of machine-learning scientists signed an open letter warning about our risk of extinction from smarter-than-human AI. Yet today, the race to develop superhuman AI is only accelerating, as many tech CEOs throw caution to the wind, aggressively scaling up systems they don't understand—and won’t be able to restrain. There is a good chance that they will succeed in building an artificial superintelligence on a timescale of years or decades. And no one is prepared for what will happen next.