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Physical Attraction


Maybe you've seen a thousand science documentaries and you're tired of hearing about the same subjects; or maybe you don't know the first thing about physics, but would love to learn. My aim with this show is to explore the vast range of topics in physics, from quantum mechanics and relativity to the physics of stars, galaxies and black holes. We will explore brand-new topics in science and technology as I learn about them. Whether you know the story already or are learning it all for the first time, my aim is to "educate, inform, and entertain!" 

We are a physics podcast. But not just a physics podcast - interviews with scientists, scholars, authors and reflections on the history and future of science and technology are all in the wheelhouse.

You can read about us here, contact us here and if you like what we do and want to help us keep doing it, you can donate here. You can subscribe to the Physical Attraction: Extra! Feed over at Patreon: www.patreon.com/PhysicalAttraction - where for $2 per bonus episode, you can help to support the show, and get some juicy bonus content too. If you donate $2+ via the Paypal link, I can also send you a direct download link to a bonus episode of your choice. Just leave your email, and the episode you want. Bonus episodes released so far: Alien Attack, Part II (45m), Failed TEOTWAWKI Predictions, Part II (1hr). 

We have a sister podcast, Autocracy Now, which deals with the lives of famous historical dictators. (Why host one podcast when you can host two?) You can find some of their episodes on our feed, or the show itself at www.autocracynow.libsyn.com 

Aug 8, 2017

Bonus midweek edition, coming to you as close to LIVE as is humanly possible...

Inspired by last week's episode, Seduced By A Robot, I downloaded a neural network and started to play around with it. See what happens when I feed it:

  • The works of Shakespeare
  • My Facebook conversation history
  • A biography of Stalin
  • and, of course, the twitter feed of President Trump

 

The neural network I used was the tensorflow char-rnn - an open-source framework by Chen Liang - and I got the idea from Janelle Shane, who you can find at www.lewisandquark.tumblr.com


Also: an appeal for listener questions!

I want to do a listener questions episode, but to do that, I need... listener questions.

Tweet us @physicspod, email us at physicspod@outlook.com. Any question will be considered, no matter how outlandish, and the ones that work out will be featured on a future episode. Here are some ideas:

  • Something you wanted to know about physics
  • Something you wanted to know about seduction (which I achieve masterfully in 100% of cases)
  • Something that's been bothering you in your personal life or in the world at large
  • Hateful abuse phrased as a question


Send them in! And see you Saturday for a regular episode.