Saturday marks the 40th anniversary of the famous Miracle on Ice hockey game when the Americans beat the Russians in the Olympics--despite the fact that the Russians were considered a far superior team. Today, our Heritage Foundation colleagues Philip Reynolds and Laura Falcon join Jarrett Stepman to remember that wonderful game.
We also cover these stories:
Roger Stone, a Trump ally was sentenced on Thursday by U.S. District Court Judge Amy Berman Jackson to more than three years in prison and a $20,000 fine.
The White House announced Thursday that current ambassador to Germany, Richard Grenell, will also now serve as acting director of national intelligence
A shooter who killed nine people at two bars in Hanau, near Frankfurt Germany, was likely a racist extremist, according to authorities.
Today's episode takes a deep dive into the history and contemporary use of the Presidential pardon power in light of President Trump's decision to pardon and/or commute the sentences of 11 various and sundry monsters. We figure out exactly what the power was supposed to mean and what it means today.
We start off with some pre-show teasers.
After that, our "A" segment looks at the basics of the Nevada caucus, including the results you can expect the day after this show drops! What weird changes are taking place in Nevada? Listen and find out!
As a teaser, we talk about today's sentencing by Judge Amy Berman Jackson of Trump loyalist and Nixon afficionado Roger Stone. What does it mean, and does it portend a pardon for Stone? Listen and find out!
Then, it's time for our deep dive into Presidential pardons and commutations. We begin with the language in the Constitution (Art. 2, Sec. 2, Cl. 1) and Federalist 74.
From there, we move on to the 19th and 20th century uses of pardons, looking at the literature and the relatively recent (and controversial -- deservedly so) pardons by Bill Clinton on the very last day of his presidency. We end the segment, of course, by discussing the assorted and sundry monsters pardoned by Trump, including some names you literally won't believe.
Appearances
None! If you’d like to have either of us as a guest on your show, drop us an email at openarguments@gmail.com.
In the interview, Mike talks about the democrats with director of the Center on American Politics at the University of Denver Seth Masket. They discuss the way the debate went, and what could happen at the convention with all the delegates so spread out.
Find out how Chicago Police District 7 in Englewood is gaining the trust of the community. And a UIC researcher breaks down how the diets of various racial groups are affecting the environment.
Congress has exempted some short-term insurance from the statutory requirements otherwise applicable to individual health insurance plans. A new lawsuit might end those plans entirely. Why does that matter? Michael Cannon explains.
Jon, Jon, and Tommy break down the feistiest Democratic debate yet, hosted by NBC in Las Vegas, Nevada. Then Democratic candidate Jessica Cisneros talks to Tommy about her primary challenge to one of Congress's most conservative Democrats in Texas’s 28th district.
The ‘crypto’ industry is having a hard time fitting everything that’s happening inside that one monolithic term. On this episode, @nlw looks at current news stories from across at least 5 different categories - DeFi, enterprise blockchain, central bank digital currencies, digital collectibles and bitcoin - to ask whether they really all belong lumped in in the same category.
The episode also looks at:
Four reasons these increasingly different categories remain bunched together
Why turning other parts of the industry into an enemy is rewarded in the public sphere
Why letting individual parts of the industry evolve individually is likely to bring more, not fewer resources into the space.
Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.
This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.
This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.
This episode is also supported by the Techmeme Ride Home podcast. Get it on Apple Podcasts, on its website, or find it by searching “Ride Home” in your podcast app.
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
OUTLINE:
00:00 – Introduction
02:23 – First few steps in AI
05:05 – Early days of online education
16:07 – Teaching on a whiteboard
17:46 – Pieter Abbeel and early research at Stanford
23:17 – Early days of deep learning
32:55 – Quick preview: deeplearning.ai, landing.ai, and AI fund
33:23 – deeplearning.ai: how to get started in deep learning
45:55 – Unsupervised learning
49:40 – deeplearning.ai (continued)
56:12 – Career in deep learning
58:56 – Should you get a PhD?
1:03:28 – AI fund – building startups
1:11:14 – Landing.ai – growing AI efforts in established companies
1:20:44 – Artificial general intelligence
