Hacker News Books

40,000 HackerNews book recommendations identified using NLP and deep learning

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No Place to Hide: Edward Snowden, the NSA, and the U.S. Surveillance State

Glenn Greenwald

4.6 on Amazon

1 HN comments

Sales: A Systems Approach [Connected Casebook] (Aspen Casebook)

Daniel Keating

4.3 on Amazon

1 HN comments

The Witches: Suspicion, Betrayal, and Hysteria in 1692 Salem

Stacy Schiff

3.5 on Amazon

1 HN comments

Leadership and Training for the Fight: Using Special Operations Principles to Succeed in Law Enforcement, Business, and War

Paul R. Howe

4.6 on Amazon

1 HN comments

Evidence: A Structured Approach [Connected Casebook] (Aspen Casebook)

David P. Leonard, Victor J. Gold, et al.

4.1 on Amazon

1 HN comments

The Antitrust Paradox

Robert H Bork, Mike Lee, et al.

5 on Amazon

1 HN comments

Antitrust: Taking on Monopoly Power from the Gilded Age to the Digital Age

Amy Klobuchar

4.5 on Amazon

1 HN comments

Facing Reality: Two Truths about Race in America

Charles Murray

? on Amazon

1 HN comments

Associated Press Stylebook

The Associated Press

4.8 on Amazon

1 HN comments

Are Prisons Obsolete?

Angela Y. Davis

4.8 on Amazon

1 HN comments

Knowledge and Decisions

Thomas Sowell, Robertson Dean, et al.

4.8 on Amazon

1 HN comments

Federal Rules of Evidence; 2021 Edition: With Internal Cross-References

Michigan Legal Publishing Ltd.

4.8 on Amazon

1 HN comments

Eichmann in Jerusalem: A Report on the Banality of Evil (Penguin Classics)

Hannah Arendt and Amos Elon

4.6 on Amazon

1 HN comments

The Smartest Guys in the Room: The Amazing Rise and Scandalous Fall of Enron

Bethany McLean, Dennis Boutsikaris, et al.

4.6 on Amazon

1 HN comments

Patent It Yourself: Your Step-by-Step Guide to Filing at the U.S. Patent Office

David Pressman Attorney and David E. Blau Attorney

4.4 on Amazon

1 HN comments

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jackcviers3onJuly 10, 2021

And what makes the voice in your head can't understand what it says.

There are two parts, at least, to sentience: the observer and the actor. In yogic traditions, "you" are the part that "hears" the voice in your head, not the voice itself. I think this, while it may not necessarily be true of "real" minds, has a lot of utility when it comes to designing artificial ones.

I think general AI is probably going to be lots of individual parts structured around a central observational unit, which then makes preprogrammed higher level decisions on where to distribute inputs and outputs of several external nn, score the results of it's actions, and then use the results for reinforcement and/NEAT or something similar to improve it's central decision making.

This technique of a simple, preprogrammed decision maker given inputs and outputs of stochastic processes is already in use in autonomous navigation (see the GT robotics course on coursera)[1].

The actor doesn't need to understand meaning, the observer assigns meaning to the actions of the actor.

1. "Free Online Course: Control of Mobile Robots from Coursera | Class Central" https://www.classcentral.com/course/conrob-404

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