It's a busy week for the bond market with a meeting of the Federal Reserve and the release of the US Treasury's quarterly refunding statement. While a lot of people have been focusing on when the Fed will cut benchmark interest rates, there's also an ongoing debate about how fast the central bank will shrink its balance sheet given last year's banking crisis and the recent drama in the repo market. In this episode, we speak with Mark Cabana, longtime rates strategist at Bank of America, about the big questions lurking behind the week's events. We talk about who will buy all the bonds the US is selling, what will happen to bank balance sheets as rates go down, and the impact of liquidity on the broader market. See omnystudio.com/listener for privacy information.

Mark Cabana on the Fed, QT and Treasury Funding

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday and Thursday.

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Breakthroughs in generative AI have created enormous opportunities for humans to learn from computers. We can use them to explain the news, understand historical concepts, fix our coding errors, and so forth. But of course, AI also has to learn from human. The technology digests enormous amounts of written text, and often relies on human feedback to calibrate its models. Luis von Ahn has been at the forefront of these back and forth interactions for years. He is currently the CEO and co-founder of Duolingo, the language learning app, but prior to that, he was one of the original developers of CAPTCHAs, the little puzzles you solve to log into websites and prove that you're a human. And of course, in the process of proving your humanity, you're also training computers to get better at identifying red lights, cross walks, bicycles and wavy letters. On this episode, we discuss the history of his work, the future of CAPTCHAs, the success of Duolingo and how he is using today's advanced AI models in aid of language learnings. See omnystudio.com/listener for privacy information.

Luis von Ahn Explains How Computers and Humans Learn From Each Other

In the past, the most expensive housing in any major city would be connected in some way to the economics of the city itself. If the general market was weak, the high end was also weak. If the general market was strong, then the high end was strong. But increasingly in cities like NYC, Aspen, Dubai, Miami, and elsewhere, the ultra high end exists in a different market, where the rich splash around money at levels which are completely disconnected from the local environment. At these levels, the ultra-wealthy are engaging in a global game of one-upmanship, where a higher price tag, perversely, can make a given property even more tantalizing. On this episode we speak with Hiten Samtani, founder of ten31 Media, which focuses on real estate, about how this market has developed. We talk through the deals, brokers, the buyers, and the general economics of this ultra-premium tier. We also discuss the rise of branded condos -- or those with the Mercedes or Porsche imprimatur -- and how they're reshaping the real estate landscape. See omnystudio.com/listener for privacy information.

The Ultra Wealthy Have Their Own Separate World of Real Estate

When most investors think of due diligence, they think of sifting through years of financial statements and crunching numbers to better understand a company's potential. Not many people think about interrogating senior executives and employees, and asking the right questions to figure out whether they're telling the truth about the business model. In this episode, we speak with Phil 'Dick' Houston, a veteran CIA officer who's been called the human lie detector. Phil literally wrote the book on how to spot lies, and has been a long-time collaborator of entrepreneur and serial acquirer Brad Jacobs, helping him with due diligence on both senior hires and potential investments. In this episode, Phil explains his strategy for identifying deceptive behavior and how it can be applied to the corporate world. See omnystudio.com/listener for privacy information.

An Ex-CIA Officer Explains How to Spot a Lie in Business

 AI is all the rage right now. There are billions of dollars now flowing into the space, with large and small companies all competing to create the next big thing. But in addition to lots of money, building new AI models requires top-tier researchers. So, who's attracting the best? And what does it take to be considered top talent in AI anyway? On this episode we speak with Damien Ma, managing director at MacroPolo, the in-house think tank of the Paulson Institute. Damien helps put together MacroPolo's Global AI Talent Tracker, which monitors the flow of top-tier AI researchers around the world. We discuss who's winning the AI talent war so far, the purported talent drain in China, competition from India, and much more. See omnystudio.com/listener for privacy information.

Here's Who's Winning the Global Fight for AI Talent

Over the last year or so, probably every venture capitalist has become interested in artificial intelligence. So people are still figuring out what types of business models actually work, and who will end up making money in the space. Josh Wolfe has been at it for a long time. As a co-founder and managing partner at Lux Capital, he's been involved in a number of deals in the space, and is already looking at what's next after the wave of excitement for chatbots since ChatGPT was released. On this episode, we talk to Josh about what he's excited about right now, including robotics, biotech, and maintenance. He tells us that just as ChatGPT opened everyone's eyes to the power of chatbots, a similar moment is coming in the robotics space. See omnystudio.com/listener for privacy information.

Mark Cabana on the Fed, QT and Treasury Funding

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