Here’s a list of all the books I’ve read over the past 10 years.

[1] https://taylor.town/books

My general advice is to read classics.

[2] https://taylor.town/eschew-the-new

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Here are some audiobooks that I think HN folk would enjoy:

• Guns, Germs, and Steel: https://www.amazon.com/Guns-Germs-Steel-Fates-Societies/dp/0...

• The Anthropocene Reviewed: https://www.amazon.com/Anthropocene-Reviewed-Essays-Human-Ce...

• Snowcrash: https://www.amazon.com/Snow-Crash-Neal-Stephenson/dp/0553380...

• How to Win Friends and Influence People: https://www.amazon.com/How-Win-Friends-Influence-People/dp/1...

• Distrust That Particular Flavor: https://www.amazon.com/Distrust-Particular-Flavor-WILLIAM-GI...

• A Supposedly Fun Thing I’ll Never Do Again: https://www.amazon.com/Supposedly-Fun-Thing-Never-Again/dp/0...

• Surely You’re Joking, Mr. Feynmann!: https://www.amazon.com/Surely-Youre-Joking-Mr-Feynman/dp/039...

• Faster: https://www.amazon.com/Faster-Acceleration-Just-About-Everyt...

• How We Got To Now: https://www.amazon.com/How-We-Got-Now-Innovations/dp/1594633...

As someone who has worked on ADAS software and saw a simple un-optimized ML object detector beat a custom hardware solution at both speed and accuracy, I can honestly say machine learning is amazing.

Just in this domain alone, excluding the 100 other applications of ML, and the fact that we haven't even begun optimization in earnest, I certainly believe ML will change the direction of computing. It already has: look at where investment and research dollars have gone. (not to say that trends don't happen, but when I saw the performance results I thought: sh*t, this is big.)

Add to this the rise of the qubit, and the next 50 years are going to be even crazier than the last 50.

Yes, I am a proselytizer of school of James Gleick. "Faster" was a prophecy[1].

[1] https://www.amazon.com/Faster-Acceleration-Just-About-Everyt...