Scaling Laws

Lawfare & University of Texas Law School

Top mentioned books

Here are the most frequently recommended books on the Scaling Laws podcast:
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#1 Mentioned in 2 episodes

1984

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George Orwell
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#2 Mentioned in 1 episodes

Scrutiny Land

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Randy Marnett
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#3 Mentioned in 1 episodes

The Sense of Style

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Steven Pinker
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#4 Mentioned in 1 episodes

Power and Prediction

The Disruptive Economics of Artificial Intelligence
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Joshua Gans
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Avi Goldfarb
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Ajay Agrawal
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#5 Mentioned in 1 episodes

Boom

Bubbles and the End of Stagnation
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Tobias Huber
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Byrne Hobart
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#6 Mentioned in 1 episodes

The Prediction Machine

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Andy Clark
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#7 Mentioned in 1 episodes

The WEIRDest People in the World

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Joseph Patrick Henrich
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Korey Jackson
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Joseph Henrich
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#8 Mentioned in 1 episodes

Nicomachean Ethics

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Aristotle
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#9 Mentioned in 1 episodes

Abundance

The Future Is Better Than You Think
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Peter H. Diamandis
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Steven Kotler
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#10 Mentioned in 1 episodes

The Imitation Game

The Imitation Game is the name of the first section from the paper Can Machines Think?
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Alan Turing
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#11 Mentioned in 1 episodes

10 to 25 : The Science of Motivating Young People

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David S. Yeager
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#12 Mentioned in 1 episodes

Imperfect Oracle

What AI Can and Cannot Do
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Cass Sunstein
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#13 Mentioned in 1 episodes

AI Snake Oil

What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
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Sayash Kapoor
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Arvind Narayanan
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#14 Mentioned in 1 episodes

A theory of justice

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John Rawls
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#15 Mentioned in 1 episodes

Digital Empires

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Anu Bradford

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