good podcast but it needs to be louder. use compression, limiter, normalization etc

On this episode of "Speaking of Bitcoin", join hosts Adam B. Levine, Andreas M. Antonopoulos, Stephanie Murphy and Jonathan Mohan for a discussion about loans in the world of crypto.
HODL. It's crypto-land philosophy for not selling your preferred token even when things look their most bleak. But where philosophy intersects with real-world concerns like shelter, food and the niceties of life, tactics have emerged offering both opportunities and risks. From smart contracts to bitcoin collateralized mortgages, the hosts discuss their experiences with loans in the world of crypto.
Credits
Today’s show featured Andreas M. Antonopoulos, Jonathan Mohan, Stephanie Murphy and Adam B. Levine, with editing by Adam B. Levine and music by Gurtybeats.com. Our episode art is a picture provided by The New York Public Library, modified by "Speaking of Bitcoin."
Any questions or comments? Send us an email at adam@speakingofbitcoin.show

SOB #496 The Ups and Downs of Crypto Loans

Gordon Deal asks questions about inflation to Wall Street Journal's Greg Ip about its impact on the United States.

On Inflation, Economics Has Some Explaining to Do

Rana Eid est sound designer et réalisatrice. Depuis près 40 ans, elle enregistre les ambiances de Beyrouth, sa ville natale. Elle enregistre donc les sons de la guerre civile (1975-1990), la reconstruction, la guerre de 2006, la révolution civile de 2019, l’explosion du port le 4 août 2020 et enfin l’effondrement actuel du Liban. Aujourd'hui, elle commente ses propres archives sonores qui racontent son pays meurtri et une ville qui retient son souffle. Marine Vlahovic (Carnets de correspondante) a rencontré Rana Eid une première fois en 2014 avant de la retrouver quelques années plus tard. Un manifeste sensible sur l’importance du son dans nos mémoires. 

Ce documentaire est lauréat de l'appel à projets 2021 du ministère de la Culture.

Le souffle de Beyrouth

Getcha podcast ready!

T.O., Rob, Alonzo and Roy are BACK with boxing legend Sugar Ray Leonard on this week's show! The guys as the champ about his training, process of intimidation and whether or not Roy has a shot a boxing career at the Y in Burbank!

Check out more on the podcast over at www.getchapodcastready.com

#22: Sugar Ray Leonard

This is a series about what happens when someone who knows nothing about business starts one. It's called StartUp.  In episode one, Alex Blumberg botches his pitch to Silicon Valley billionaire Chris Sacca.

#1 How Not to Pitch a Billionaire

An elf gets a new job in the Naughty or Nice division of Santa's workshop. This story was commissioned by NPR's All Things Considered. It was written by Jonathan Mitchell and Seth Lind, and directed & produced by Jonathan Mitchell.

Naughty or Nice

Daredevil Season 2 is almost upon us and that means a new iteration of The Punisher, one of the most mangled and misrepresented characters in Marvel cinematic history! To help us wade through Frank Castle's movie graveyard, Lon Strickland comes on the show to argue that Dolph Lundgren's 1989 version is the best so far! Beyond that, we talk about Spider-Man dropping in on the 'Captain America: Civil War' trailer, the state of animation in the USA and what it was like for Lon to work at Machinima during their heyday!

Geekscape 402: Punishing The Guilty With Lon Strickland!

In this episode of the Data Show, I spoke with Harish Doddi, co-founder and CEO of Datatron, a startup focused on helping companies deploy and manage machine learning models. As companies move from machine learning prototypes to products and services, tools and best practices for productionizing and managing models are just starting to emerge. Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies. Risk and compliance considerations mean that the ability to reproduce machine learning workflows is essential to meet audits in certain application domains. And as data science and data engineering teams continue to expand, tools need to enable and facilitate collaboration.

As someone who specializes in helping teams turn machine learning prototypes into production-ready services, I wanted to hear what Doddi has learned while working with organizations that aspire to “become machine learning companies.”

Simplifying Machine Learning Lifecycle Management

Vig (Jesse Taub) - The God Machine
Sources: Deus Ex - "Liberty Island," "Lebedev's Airfield," "NYC Streets," "UNATCO," "DuClare Chateau," "Return to NYC," "Enemy Within," "Versalife"
Original Composers: Alexander Brandon, Michiel van den Bos

Artist's Note
Vig: Deus Ex was a landmark first-person-shooter. Its ground-breaking incorporation of RPG elements, sprawling open-ended environments and epic storytelling made Deus Ex a truly enduring and immersive release. It came out in 2000, but it is still one of my two favorite games of all time.

I don't play video games very much these days, but I keep coming back to this particular soundtrack. Composed by the incredibly talented Alexander Brandon, the music in Deus Ex struck me from the very first time I played as one of the most immersive and memorable video game scores in recent memory, and now years later, I still listen to it regularly. For years, I've wanted to make my own arrangement of some of my favorite themes from the game.

This song was two years in the making, and I'm incredibly excited to finally be finished. I can't remember all the different incarnations this remix has had, but I'm finally satisfied with the finished product. I hope you enjoy it.

Sonic Augmentation 8 - The God Machine (Medley)

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Simplifying Machine Learning Lifecycle Management

O'Reilly Radar

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