My career as a programmer:
1983: waiting impatiently as my computer, talking over its 1200 baud modem, slowly prints out the answers, line by line.
2023: waiting impatiently as my computer, talking to an Artificial Intelligence, slowly prints out the answers, line by line.
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Paul Lamere
@plamere
I build music recommenders at
musicmachinery.comJoined March 2007
Paul Lamere’s Tweets
Heads up! has a very informative podcast for developers now! Here’s and discussing the new Developer Portal. A great starting point for curious devs. 🙌🏻
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I am so, so delighted to share that my book, HOW INFRASTRUCTURE WORKS: INSIDE THE SYSTEMS THAT SHAPE OUR WORLD, will be published by Riverhead Books on October 17th, 2023 and is now available for pre-order.
penguinrandomhouse.com/books/612711/h
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Do Spotify's algorithms make our music taste, or does taste make the algorithm?
Anthropologist joins this week to talk about the very real people who make very specific, very human choices building our automated world.
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What’s your favorite Tolkien wordplay? My top 3 are: (1) Sam’s cousin Halfast who may be a little slow. (2) The S.Bs. and (3) Downfall of evil was due to the lack of hand / eye coordination.
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Do you feel like listening to some really loud, heavy electronic music? I have the album for you!!
All made on the amazing #m8tracker
Some metal, some EDM, some chiptune. Even some singing!
roballisonmusic.bandcamp.com/album/deathrun
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50 years ago, Frankenstein hit the charts. AM Radio of ’73 was dominated by acts like Cher, so it was amazing to hear this Jazz/Rock fusion instrumental on the radio. I can distinctly recall the 1st time hearing that synth solo. It was candy to my ears.
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Ah, people - this is very important. Bring Me to Life was released 20 years ago TODAY - en.wikipedia.org/wiki/Bring_Me_
open.spotify.com/track/0COqiPhx
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4 years since we shipped my favorite Spotify personalized set: Discocover Weekly -
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The changes at Twitter to promote paid accounts blur the distinction between a recommender engine and an ad engine. Short-term optimizations like this are tempting to do, but have a long-term cost, distrust of the recommendations and reduced retention. 1/3
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Decided to checkout the Shrinking series on Apple TV. Really appreciated how they dove right in and left it to me to figure it all out. After the episode I realized I had started watching on episode 6.
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20 years ago today, evanescence released their debut album 'fallen'
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Also, the Echo Nest did have a pretty good sectioning algorithm. You can see it visualized in The Autocanonizer - the baseline colors delineate the sections. eternalbox.dev/canonizer_go.h
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Replying to @kcimc and @SpotifyEng
You can see the "most listened to graph" in this demo at rails.conf - youtu.be/f7XN3RuDzmc?t=
It's a great 'drop finder'
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