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apxhard

Mark Neyer

Former Google, Early Uber Employee. Exploring the intersection of computing and faith. Our brains are computers. Wisdom traditions are ancient source code. Memoir coming July 16th! Preorder now. https://markneyer.com/memoir.html

Platform
Substack
PricingOnly free issuesPublishesWeekly
Issues62Founded4 years agoLast Issue12 days ago
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Latest Issues

Large Language Models are Evidence Against the Fact Value Distinction

The fact that large language models work as well as they do is evidence against one of the cornerstones of the mythology that dominates much of the world today: the fact/value distinction.

The idea that facts and values are fundamentally s...

12 days ago
5
5

Why AI Companies Will Build Multiplayer Games

I expect within the next few years, AI companies will either build or acquire massively multiplayer game platforms.

There are two great reasons for them to do this: to pay for novel data, and to pay for popularity.

Where all this heads...

19 days ago
5

Why AI Won't Kill Us All

A lot of people are worried that AI will kill us all. A book was recently published called “If Anyone Builds It, Everyone Dies.” This isn’t just paranoia from watching terminator too many times. They have very good reasons for thinking this...

23 days ago
8
3

Slopcode Civilization

The future is slop.

Slopcode out-competes clean code. It’s cheaper. You can move faster. Code that we actually understand won’t be economically viable compared to mountains of slop that nobody understands.

This is the fear animating man...

a month ago
7
2

Monotheism solves a concurrency problem

It may be that most major religions are monotheistic, because monotheism solves a concurrency problem.

A concurrency problem happens whenever multiple processes are running at the same time, on a computer or some other medium. When this h...

a month ago
7
4

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  • Mark Neyer

    Early Uber employee, former Google, &c. Also former drug addict and mental patient. Former nihilist, former libertarian, former Californian. Basically nothing stuck until I started thinking “good” meant something real and tried to lean what.

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