Every so often, the What Next team wants to share another great podcast with our listeners. This time, it's The United States of Anxiety from WNYC. In its fourth season, host Kai Wright is figuring out how the intense debates happening during the 2020 election can be traced back to a key point in American history.
To listen to the rest of the episodes, subscribe wherever you get your podcasts.
Every so often, the What Next team wants to share another great podcast with our listeners. This time, it's The United States of Anxiety from WNYC. In its fourth season, host Kai Wright is figuring out how the intense debates happening during the 2020 election can be traced back to a key point in American history.
To listen to the rest of the episodes, subscribe wherever you get your podcasts.
There’s no denying that 2020 is off to a roaring start. From prices to volume to social media, sentiment is up up up.
But what’s driving it? On this special Valentine’s Day episode, @nlw reacts to listeners votes about which narratives are most driving the shift in energy, discussing:
The BTC halving
Coronavirus and volatility
Fed action
Central bank digital currency intrigue
Ethereum and DeFi
Price reflexivity and Lindy effects
The episode finishes up with some hot takes on what is driving the markets and what we should be most concerned about and most excited for with Ikigai Asset Management’s Travis Kling.
Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. His work has been cited over 200,000 times.
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”.
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
00:00 – Introduction
02:55 – Alan Turing: science and engineering of intelligence
09:09 – What is a predicate?
14:22 – Plato’s world of ideas and world of things
21:06 – Strong and weak convergence
28:37 – Deep learning and the essence of intelligence
50:36 – Symbolic AI and logic-based systems
54:31 – How hard is 2D image understanding?
1:00:23 – Data
1:06:39 – Language
1:14:54 – Beautiful idea in statistical theory of learning
1:19:28 – Intelligence and heuristics
1:22:23 – Reasoning
1:25:11 – Role of philosophy in learning theory
1:31:40 – Music (speaking in Russian)
1:35:08 – Mortality
How far would you go for justice? Join the guys as they interview award-winning investigative journalist Phil Stanford about the strange, twisting tale behind his podcast, Murder In Oregon.
The dramatic departure of the head of the Treasury reveals Prime Minister Boris Johnson’s desire—and that of his wily chief aide—to take firm hold of the country’s purse strings. A new book finds that a landmark study in psychiatry was not at all what it seemed. And the thumping changes going on in Berlin’s club scene.
For full access to print, digital and audio editions of The Economist, subscribe here www.economist.com/radiooffer
Additional audio “Dustbin Acid (Super Rhythm Trax)” courtesy Jerome Hill
Over the last month, as coronavirus spread across China, Xi Jinping’s vast surveillance and censorship infrastructure went into high gear. But with outrage growing over the death of a beloved doctor, and surveillance technology under strain, the virus is exposing the limits of the Chinese Communist Party’s techno-authoritarian network.
Guest: Josh Chin, Wall Street Journal reporter covering Chinese politics and tech