Podcast appearances and mentions of michael betancourt

In episode 26 of Locust Radio, Adam Turl is joined by Omnia Sol – a comic, video, and sound artist in Chicago. This episode is part of a series of interviews of current and former Locust Collective members and contributors. This series is being conducted as research for a future book by Adam Turl on the conceptual and aesthetic strategies of the collective in the context of a cybernetic Anthropocene. The featured closing music / sound art, “Overview” and “Wilhelmina,” are from Omnia Sol's forthcoming vs. Megalon. Check out their bandcamp. Locust Radio hosts include Adam Turl, Laura Fair-Schulz, and Tish Turl. Producers include Alexander Billet, Omnia Sol, and Adam Turl. Related texts and topics: Arte Povera; Walter Benjamin, “The Work of Art in the Age of Mechanical Reproduction” (1936); Michael Betancourt, Glitch Art in Theory and Practice (2017); William Blake; Claire Bishop, Disordered Attention: How We Look at Art and Performance Today (2024); Stan Brakhage ; Bertolt Brecht - see also Brecht, “A Short Organum for the Theater” (1948);  Cybernetic Culture Research Unit; Mark Fisher, “Acid Communism (Unfinished Introduction)”; Ben Davis, Art in the After-Culture: Capitalist Crisis and Cultural Strategy (2022); Scott Dikkers, Jim's Journal (comic by the co-founder of the Onion); Dollar Art House; Mark Fisher, Capitalist Realism: Is There No Alternative? (2009); Mark Fisher, Ghosts of My Life: Writings on Depression, Hauntology and Lost Futures (2014); Mark Fisher, K-Punk: The Collected and Unpublished Writings of Mark Fisher (2019); Flicker Films; Fully Automated Luxury (Gay) Space Communism; Glitch Art; Jean-Luc Godard; Grand Upright Music, Ltd. vs. Warner Brothers Records (Biz Markie) (1991); William Hogarth; Tamara Kneese, Death Glitch: How Techno-Solutionism Fails Us in This Life and Beyond (2023); Holly Lewis, “Toward AI Realism,” Spectre (2024); Karl Marx, The Communist Manifesto (1848); Nam June Paik and TV Buddha; Harvey Pekar (comic artist); Gregory Sholette, Dark Matter: Art and Politics in the Age of Enterprise Culture (2010); Grafton Tanner, Babbling Corpse: Vaporwave and the Commodification of Ghosts (2016); TOSAS (The Omnia Sol Art Show); Nat Turner; Wildstyle and Style Wars (1983 film); YOVOZAL, “My Thoughts about AI and art,” YouTube video (2024)

10/13 Nerd News: Loki S2 Marvel Savior, DareDevil Problems, Current state of Marvel with Michael Betancourt in the hot seat.

ChrisP and Trigger are out for the night but you dont want to miss Nerd News With Brian D and guest Michael Betancourt! It was a banger!!!! Ashoka and SAG AND WGA strike update

Da Average Boys sit with friends Michael BetanCourt and Chew From the Chew and Ew Podcast and talk Deadpool 3, Marvel, Bob Igar, and the Writers Strike

Star Wars Celebration Trailers and review with Michael Betancourt!!!!! Early Mario Reviews,and Recap Mandolorian

Proudly sponsored by https://www.pymc-labs.io/ (PyMC Labs), the Bayesian Consultancy. https://calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf (Book a call), or get in touch! Back in 2016, when I started dedicating my evenings and weekends to learning how to code and do serious stats, I was a bit lost… Where do I start? Which language do I pick? Why are all those languages just named with one single letter?? Then I found some stats classes by Justin Bois — and it was a tremendous help to get out of that wood (and yes, this was a pun). I really loved Justin's teaching because he was making the assumptions explicit, and also explained them — which was so much more satisfying to my nerdy brain, which always wonders why we're making this assumption and not that one. So of course, I'm thrilled to be hosting Justin on the show today! Justin is a Teaching Professor in the Division of Biology and Biological Engineering at Caltech, California, where he also did his PhD. Before that, he was a postdoc in biochemistry at UCLA, as well as the Max Planck Institute in Dresden, Germany. Most importantly for the football fans, he's a goalkeeper — actually, the day before recording, he saved two penalty kicks… and even scored a goal! A big fan of Los Angeles football club, Justin is a also a magic enthusiast — he is indeed a member of the Magic Castle… Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, James Ahloy, Robin Taylor, Thomas Wiecki, Chad Scherrer, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Matthew McAnear, Michael Hankin, Cameron Smith, Luis Iberico, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Aaron Jones, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, David Haas, Robert Yolken and Or Duek. Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Links from the show: Justin's website: http://bois.caltech.edu/index.html (http://bois.caltech.edu/index.html)  Justin on GitHub: https://github.com/justinbois/ (https://github.com/justinbois/) Justin's course on Data analysis with frequentist inference: https://bebi103a.github.io/ (https://bebi103a.github.io/) Justin's course on Bayesian inference: https://bebi103b.github.io/ (https://bebi103b.github.io/) LBS #6, A principled Bayesian workflow, with Michael Betancourt:  https://learnbayesstats.com/episode/6-a-principled-bayesian-workflow-with-michael-betancourt/ (https://learnbayesstats.com/episode/6-a-principled-bayesian-workflow-with-michael-betancourt/) Physical Biology of the Cell: https://www.routledge.com/Physical-Biology-of-the-Cell/Phillips-Kondev-Theriot-Garcia-Phillips-Kondev-Theriot-Garcia/p/book/9780815344506 (https://www.routledge.com/Physical-Biology-of-the-Cell/Phillips-Kondev-Theriot-Garcia-Phillips-Kondev-Theriot-Garcia/p/book/9780815344506) Knowledge Illusion – Why We Never Think Alone:...

ChrisP and Michael Betancourt chill and talk News Black Adam early reactions, Andor, and She Hulk Finale

8_19 This week in Nerd News! She-Hulk, SandMan first reaction. Michael Betancourt jumps in the podcast to talk Sandman and DC money news!

We catch up with Star Wars, Marvel, and Thor Love and Thunder Movie Review, Non Spoilers w/ Michael Betancourt

We talk a lot about generative modeling on this podcast — at least since episode 6, with Michael Betancourt! And an area where this way of modeling is particularly useful is healthcare, as Maria Skoularidou will tell us in this episode. Maria is a final year PhD student at the University of Cambridge. Her thesis is focused on probabilistic machine learning and, more precisely, towards using generative modeling in… you guessed it: healthcare! But her fields of interest are diverse: from theory and methodology of machine intelligence to Bayesian inference; from theoretical computer science to information theory — Maria is knowledgeable in a lot of topics! That's why I also had to ask her about mixture models, a category of models that she uses frequently. Prior to her PhD, Maria studied Computer Science and Statistical Science at Athens University of Economics and Business. She's also invested in several efforts to bring more diversity and accessibility in the data science world. When she's not working on all this, you'll find her playing the ney, trekking or rawing. Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, James Ahloy, Robin Taylor, Thomas Wiecki, Chad Scherrer, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Matthew McAnear, Michael Hankin, Cameron Smith, Luis Iberico, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Aaron Jones, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton and Jeannine Sue. Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Links from the show: Maria on Twitter: https://twitter.com/skoularidou (https://twitter.com/skoularidou) Maria on LinkedIn: https://www.linkedin.com/in/maria-skoularidou-1289b62a/ (https://www.linkedin.com/in/maria-skoularidou-1289b62a/) Maria's webpage: https://www.mrc-bsu.cam.ac.uk/people/in-alphabetical-order/n-to-s/maria-skoularidou/ (https://www.mrc-bsu.cam.ac.uk/people/in-alphabetical-order/n-to-s/maria-skoularidou/) Mixture models in PyMC: https://www.pymc.io/projects/examples/en/latest/gallery.html#mixture-models (https://www.pymc.io/projects/examples/en/latest/gallery.html#mixture-models) LBS #4 Dirichlet Processes and Neurodegenerative Diseases, with Karin Knudson: https://learnbayesstats.com/episode/4-dirichlet-processes-and-neurodegenerative-diseases-with-karin-knudson/ (https://learnbayesstats.com/episode/4-dirichlet-processes-and-neurodegenerative-diseases-with-karin-knudson/) Bayesian mixtures with an unknown number of components: https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/1467-9868.00095 (https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/1467-9868.00095) Markov Chain sampling methods for Dirichlet Processes: https://www.tandfonline.com/doi/abs/10.1080/10618600.2000.10474879 (https://www.tandfonline.com/doi/abs/10.1080/10618600.2000.10474879) Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models: https://academic.oup.com/biomet/article-abstract/95/1/169/219181...

After Sewerbot rises into the city to take revenge on the surface meat, Tish and Adam talk to Locust collective member and artist Omnia Sol and their new album Sunshine Tapes. They discuss vaporwave, glitch art, NFTs (the “Funko Pops of digital art”), sabotage and strikes vs. scientific management/Taylorism as “glitch,” improvisation in glitch art, undermining capitalist conceptions of time, dérive and detournement in glitch and vaporwave, critical vs. fascist vaporwave, retro-futurism, the promises of utopia, the gothic vs. the nostalgic, Tik Tok music recycling, human vs. algorithm curation in digital media, anti-time travel tropes as bourgeois propaganda, the “spiritual” with and against the Christian concept of the Holy Spirit, Spinoza and animism vs. commodity fetishism, Walter Benjamin's application of theological concepts to Marxist cultural criticism, and more. Artworks, artists, and texts discussed in this episode: Omnia Sol, Sunshine Tapes, vol 1, vol 2, and vol 3 (2021) and TOSAS: The Omnia Sol Art Show (ongoing); “June 27th” and other work by the late DJ Screw; Neutral Milk Hotel; Acid Left/Adam Ray Adkins, “This is What They Took from Us,” meme (2021); Born Again Labor Museum, Don't Jostle the Water Bears (They Are Communist NRG Beings Outside of Time) - digital prints, collage, painting, drawing, mixed-media, coffee, glitter, cotton and ash on canvas (2022); Local News, “Sports Champions” (2013); Tennessee Ernie Ford, “16 Tons” (1955); Michael Betancourt, Glitch Art in Theory and Practice (New York: Routledge, 2017); Richard Barbrook and Andy Cameron, “The Californian Ideology,” Science as Culture, Vol 6 (1996); Grafton Tanner, Babbling Corpse: Vaporwave and the Commodification of Ghosts (London: Zero Books, 2016) Locust Radio is hosted by Tish Turl and Adam Turl. It is produced by Drew Franzblau and Alexander Billet. Show music is by Omnia Sol. “Sewerbot” was adapted from a short story by Tish Turl, featuring Omnia Sol, Adam Turl, Tish Turl, and Alexander Billet.

Da Average Boys bring Michael Betancourt to the seat today, we talk about Morphin Mania in Harlingen Texas, his thoughts on Book of Boba, and Marvels Dr Strange 2 Trailer!Remember to join us Live Friday Nights 9pm on Facebook to join us in conversation in the comments!

The field of physics has brought tremendous advances to modern Bayesian statistics, especially inspiring the current algorithms enabling all of us to enjoy the Bayesian power on our own laptops. I did receive some physicians already on the show, like Michael Betancourt in episode 6, but in my legendary ungratefulness I hadn't dedicated a whole episode to talk about physics yet. Well that's now taken care of, thanks to JJ Ruby. Apart from having really good tastes (he's indeed a fan of this very podcast), JJ is currently a postdoctoral fellow for the Center for Matter at Atomic Pressures at the University of Rochester, and will soon be starting as a Postdoctoral Scholar at Lawrence Livermore National Laboratory, a U.S. Department of Energy National Laboratory. JJ did his undergraduate work in Astrophysics and Planetary Science at Villanova University, outside of Philadelphia, and completed his master's degree and PhD in Physics at the University of Rochester, in New York. JJ studies high energy density physics and focuses on using Bayesian techniques to extract information from large scale physics experiments with highly integrated measurements. In his freetime, he enjoys playing sports including baseball, basketball, and golf. Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Brian Huey, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, Demetri Pananos, James Ahloy, Jon Berezowski, Robin Taylor, Thomas Wiecki, Chad Scherrer, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Tim Radtke, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Matthew McAnear, Michael Hankin and Cameron Smith. Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Links from the show: Center for Matter at Atomic Pressures: https://www.rochester.edu/cmap/ (https://www.rochester.edu/cmap/) Laboratory for Laser Energetics: https://www.lle.rochester.edu/index.php/about-the-laboratory-for-laser-energetics/ (https://www.lle.rochester.edu/index.php/about-the-laboratory-for-laser-energetics/) Lawrence Livermore National Laboratory: https://www.llnl.gov/ (https://www.llnl.gov/) JJ's thesis -- Bayesian Inference of Fundamental Physics at Extreme Conditions: https://www.lle.rochester.edu/media/publications/documents/theses/Ruby.pdf (https://www.lle.rochester.edu/media/publications/documents/theses/Ruby.pdf) Recent Fusion Breakthrough: https://www.llnl.gov/news/national-ignition-facility-experiment-puts-researchers-threshold-fusion-ignition (https://www.llnl.gov/news/national-ignition-facility-experiment-puts-researchers-threshold-fusion-ignition) LBS #6, A principled Bayesian workflow, with Michael Betancourt: https://www.learnbayesstats.com/episode/6-a-principled-bayesian-workflow-with-michael-betancourt (https://www.learnbayesstats.com/episode/6-a-principled-bayesian-workflow-with-michael-betancourt) 20 Best Statistics Podcasts of 2021: https://welpmagazine.com/20-best-statistics-podcasts-of-2021/ (https://welpmagazine.com/20-best-statistics-podcasts-of-2021/) E.T. Jaynes, Probability Theory -- The Logic of Science: https://www.goodreads.com/book/show/151848.Probability_Theory... Support this podcast

If you’re there, it’s probably because you’re interested in Bayesian inference, right? But don’t you feel lost sometimes when building a model? Or you ask yourself why what you’re trying to do is so damn hard… and you conclude that YOU are the problem, that YOU must be doing something wrong! Well, rest assured, as you’ll hear from Michael Betancourt himself: it’s hard for everybody! That’s why over the years he developed and tries to popularize what he calls a « principled Bayesian workflow » — in a nutshell, think about what could have generated your data; and always question default settings! With that workflow, you’ll probably feel less alone when modeling, but expect to fail often. That’s ok — as Michael says: if you don’t fail, you don’t learn! Who is Michael Betancourt you ask? He is a physicist and statistician, whose research focuses on the development of robust statistical workflows, computational tools, and pedagogical resources that help bridge the gap between statistical theory and scientific practice. Michael works a lot on differential geometry and probability theory, and he often lives in high-dimensional spaces, where he meets with a good friend of his -- Hamiltonian Monte Carlo. Then, you won’t be surprised to learn that Michael is one of the core developers of the seminal probabilistic programming language Stan. Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ ! Links from the show: Michael's upcoming course: https://events.eventzilla.net/e/introduction-to-bayesian-inference-with-stan-with-michael-betancourt-2138756860 Michael's website (the “Writing” page collects the case studies and pedagogical material, and the “Speaking” page links to the recorded talks): https://betanalpha.github.io/ Support Michael's work on Patreon: https://patreon.com/betanalpha Michael on Twitter: https://twitter.com/betanalpha Michael on GitHub: https://github.com/betanalpha Stan probabilistic programming langage: https://mc-stan.org/ --- Send in a voice message: https://anchor.fm/learn-bayes-stats/message

Building models of the world is dangerous and there are pitfalls everywhere, even down to the assumptions that you make. To find out about many statistical pitfalls, and how to build more robust data scientific models using statistical modeling, whether it be in tech, epidemiology, finance or anything else, join Hugo's chat with Michael Betancourt, a physicist, statistician and one of the core developers of the open source statistical modeling platform Stan.

Michael Betancourt critical theorist whose work in the past ten years has been translated into seven languages. His new book, The Critique of Digital Capitalism, is about providing a way to understand how capitalism has expanded without constraint regardless of social, legal or ethical limits Dr. Joe Parent  best-selling author of the new book: THE BEST DIET BOOK EVER: The Zen of Losing Weight available in paperback and eBook on Amazon.com. Audiobook coming soon! His other books include the classic ZEN GOLF: Mastering the Mental Game and ZEN TENNIS: Playing in the Zone, with over a half-million copies in print, digital, and audio formats worldwide. Dr. Joseph Parent is a sought after keynote speaker and highly regarded expert in Performance Psychology working with athletes, actors, artists, and executives Joel Comm entrepreneur, bestselling author, public speaker, social media evangelist, and mobile marketing innovator. The leading authority on new media marketing tactics, Joel's current specialty is using social media such as Facebook and Twitter to help companies market their brand. He has also created top-ranked mobile apps, including the most talked about iPhone app of all time. Not just another social media expert For more information go to MoneyForLunch.com. Connect with Bert Martinez on Facebook. Connect with Bert Martinez on Twitter. Need help with your business? Contact Bert Martinez. Have Bert Martinez speak at your event!

How did this veteran go from the Marine Corps to running a startup accelerator for veteran owned companies? Michael Betancourt is a USMC veteran who is now the Regional Director, San Diego, of Vet-Tech, a startup accelerator for veteran entrepreneurs. Vet-Tech finds, develops, and funds veteran owned companies through its accelerator and training programs. In this interview we talk about the GI Bill, exploring different interests while at school, and how he got involved with social startups.   For more insights and resources, check out SuccessVets.com.

How did this veteran go from the Marine Corps to running a startup accelerator for veteran owned companies? Michael Betancourt is a USMC veteran who is now the Regional Director, San Diego, of Vet-Tech, a startup accelerator for veteran entrepreneurs. Vet-Tech finds, develops, and funds veteran owned companies through its accelerator and training programs. In this interview we talk about the GI Bill, exploring different interests while at school, and how he got involved with social startups.   For more insights and resources, check out SuccessVets.com.