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The Forever War

Joe Haldeman, George Wilson, et al.

4.4 on Amazon

7 HN comments

The Soul of A New Machine

Tracy Kidder

4.6 on Amazon

7 HN comments

Code: The Hidden Language of Computer Hardware and Software

Charles Petzold

4.6 on Amazon

7 HN comments

The Structure of Scientific Revolutions: 50th Anniversary Edition

Thomas S. Kuhn

4.5 on Amazon

7 HN comments

Digital Minimalism: Choosing a Focused Life in a Noisy World

Cal Newport

4.6 on Amazon

7 HN comments

Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones

James Clear and Penguin Audio

4.8 on Amazon

7 HN comments

Operating Systems: Three Easy Pieces

Remzi H Arpaci-Dusseau and Andrea C Arpaci-Dusseau

4.7 on Amazon

7 HN comments

Design Patterns: Elements of Reusable Object-Oriented Software

Erich Gamma , Richard Helm , et al.

4.7 on Amazon

7 HN comments

The Origin of Species: 150th Anniversary Edition

Charles Darwin and Julian Huxley

4.6 on Amazon

7 HN comments

The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change

Camille Fournier

4.6 on Amazon

6 HN comments

Open: An Autobiography

Andre Agassi, Erik Davies, et al.

4.7 on Amazon

6 HN comments

Getting to Yes: Negotiating Agreement Without Giving In

Roger Fisher , William L. Ury, et al.

4.6 on Amazon

6 HN comments

Lonesome Dove: A Novel

Larry McMurtry

4.8 on Amazon

6 HN comments

How to Avoid a Climate Disaster: The Solutions We Have and the Breakthroughs We Need

Bill Gates

4.5 on Amazon

6 HN comments

Working in Public: The Making and Maintenance of Open Source Software

Nadia Eghbal

4.6 on Amazon

6 HN comments

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reddogonMay 6, 2021

Isn’t this pretty much what Thomas Kuhn said in his Structures of Scientific Revolutions back in the 60s? At one time that was hailed as one of the most important books of the 20th century.

tootieonApr 7, 2021

The Structure of Scientific Revolutions by Thomas Kuhn lays all this out pretty clearly. The work of "normal science" is to make predictions based on established models and test them until you find something that breaks, then you have a "paradigm shift" that creates a new model.

https://en.wikipedia.org/wiki/The_Structure_of_Scientific_Re...

toomimonMay 26, 2021

Perhaps you're not aware that "fringe idea" is precisely the type of research that can turn out to usurp the mainstream and disrupt old paradigms.

The idea that the earth travels around the sun was once a "fringe idea."

> he is so clearly using his tenure as a defense against the ... untestability, of his ideas.

The idea of the earth going around the sun was untestable until Tycho Brahe got enough data and Kepler put it together in a way that could more parsimoniously and accurate predict planetary motion.

In other words, the experience that you describe perfectly fits into his argument. You might want to read Kuhn's "The Structure of Scientific Revolutions" to get the full picture.

bhntr3onJuly 31, 2021

> I don’t see any path from continuous improvements to the (admittedly impressive) ‘machine learning’ field that leads to a general AI

> I share the skepticism towards any progress towards 'general AI' - I don't think that we're remotely close or even on the right path in any way.

This isn't how science works though. Quoting the wikipedia page for Thomas Kuhn's "The Structure of Scientific Revolutions" (https://en.wikipedia.org/wiki/The_Structure_of_Scientific_Re...):

"Kuhn challenged the then prevailing view of progress in science in which scientific progress was viewed as "development-by-accumulation" of accepted facts and theories. Kuhn argued for an episodic model in which periods of conceptual continuity where there is cumulative progress, which Kuhn referred to as periods of "normal science", were interrupted by periods of revolutionary science."

I think this is the accepted model in the philosophy of science since the 1970s. That's why I find this argument about AI so strange, especially when it comes from respected science writers.

The idea that accumulated progress along the current path is insufficient for a breakthrough like AGI is almost obviously true. Your second point is important here. Most researchers aren't concerned with AGI because incremental ML and AI research is interesting and useful in its own right.

We can't predict when the next paradigm shift in AI will occur. So it's a bit absurd to be optimistic or skeptical. When that shift happens we don't know if it will catapult us straight to AGI or be another stepping stone on a potentially infinite series of breakthroughs that never reaches AGI. To think of it any other way is contrary to what we know about how science works. I find it odd how much ink is being spent on this question by journalists.

kashyapconJune 15, 2021

I only very recently learnt that some of the main ideas that are attributed to Thomas Kuhn have their origins in the works of Michael Polanyi[1].

"... Although they used different terminologies, both Kuhn and Michael Polanyi believed that scientists' subjective experiences made science a relativized discipline. Polanyi lectured on this topic for decades before Kuhn published The Structure of Scientific Revolutions." [2]

If you haven't checked out Polanyi yet, look up The Tacit Dimension — a very short book that talks about "tacit knowledge" (also discussed in uky.edu page, with attribution).

[1] https://en.wikipedia.org/wiki/Michael_Polanyi

[2] https://en.wikipedia.org/wiki/Thomas_Kuhn#Polanyi%E2%80%93Ku...

akiselevonMay 22, 2021

> I wonder if science has some similar vibes: folks theory vs what actually drives it. Maybe the folk theory is "expand human knowledge", but the true machinery is and always has been a complex concoction of human ego, corruption and the fancies of the wealthy, topped with an icing of natural human curiosity.

The Structure of Scientific Revolutions by Thomas Kuhn is an excellent read on this topic - dense but considered one of the most important works in the philosophy of science. It popularized Planck's Principle paraphrased as "Science progresses one funeral at a time." As you note, the true machinery is a very complicated mix of human factors and actual science.

kashyapconJune 16, 2021

Well, if Kuhn cited Polanyi "pretty extensively" this wouldn't happen; citing from the Wikipedia (I know; there's a reference) entry:

"Supporters of Polanyi charged Kuhn with plagiarism, as it was known that Kuhn attended several of Polanyi's lectures, and that the two men had debated endlessly over epistemology before either had achieved fame. After the charge of plagiarism, Kuhn acknowledged Polanyi in the Second edition of The Structure of Scientific Revolutions.[7] Despite this intellectual alliance, Polanyi's work was constantly interpreted by others within the framework of Kuhn's paradigm shifts, much to Polanyi's (and Kuhn's) dismay"

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