The pharmaceutical space is characterized by extreme uncertainty. You never know what drugs are going to pan out. The lead time for development is extremely long. Market size is inherently unknowable. And the regulatory and pricing climate is constantly changing. So, how does a company decide where to invest its cash? On this episode, we speak with Moderna's chief financial officer, Jamey Mock, about how he views the problem. He explains the process by which the vaccine maker chooses which bets to make, how changing fortunes within the stock market affect corporate decision-making and the role of the government in accelerating progress and de-risking investment. See omnystudio.com/listener for privacy information.

Moderna's CFO on How to Allocate Capital in Big Pharma

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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In 2022, Congress passed the CHIPS Act, which set aside tens of billions of dollars in loans and grants in order to encourage companies to build new semiconductor fabs in the United States. We're still very early in the process. It's going to be a long time before we know if the US will become a major player again in the production of advanced chips. But the process is well underway and the bulk of the awards have been officially announced, with much of the money going to Intel, Samsung, TSMC, and others. So how did the grants get allocated — and what's next? On this episode of Lots More, we speak with Bloomberg News reporter Mackenzie Hawkins on the latest developments. See omnystudio.com/listener for privacy information.

Lots More on How CHIPS Act Money Got Awarded

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.

Moderna's CFO on How to Allocate Capital in Big Pharma

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