Odd Lots

Last August, President Trump made the unprecedented choice of moving to fire Fed governor Lisa Cook. The administration claimed she was being terminated with cause, citing an ongoing investigation in alleged mortgage fraud committed by Cook. The legal battle between Cook and the administration has been tangled in the courts for the last year, eventually reaching the Supreme Court. This June, in a 5-4 decision, the court ruled in favor of Cook. However at the same time, in a different case, the court allowed the President to fire individual members of the FTC, undermining its role as quasi-independent body not beholden to the executive branch. So what are the implications here? How can the court change the status of a body like the FTC while allowing the Fed to continue operating as is? And for how long will the Fed maintain some amount of operational autonomy? On this episode we speak with Columbia Law School's Lev Menand who just wrote a piece on these two cases for Just Security called The Federal Reserve Exception to the Slaughter Rule as well as Nathan Tankus (writer and president of Notes on the Crises). The two of them lay out the consequences of these two decisions and they dig into the generations-long legal history, starting with Alexander Hamilton, that explains how we got here.

Read more: Can Trump Still Fire Lisa Cook After Her Supreme Court Win?

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American sports fans have long been comfortable talking in the language of stats and analytics. Soccer embraced the 'moneyball' revolution later; the sport was once perceived as too complex to model analytically — there were too many players on the pitch, the game's progression was too random and chaotic to reliably predict. That's no longer the case, and soccer watchers are well aware of stats like xG (Expected Goals) and each match is an opportunity for a team to mine data, whether its tracking data, on-ball data, or even analyzing body poses and movement. Today, we speak with two soccer analytics veterans, Mike Treacy (head of risk at Apex Fintech Solutions) and Joris Bekkers (a soccer analytics consultant). Treacy's background includes a stint in analytics for a Premier League team and he's currently advising the MLS team Austin FC while Bekkers has built software that analyzes raw soccer data and he's worked with the US Soccer Federation. We talk to them about how VAR has affected the sport, how data analytics can capture ineffable things like hustle, how European leagues and the MLS differ in their analytics strategy, and why chess and soccer are not so dissimilar.
Read more:The Lawyer Taking On StubHub Over World Cup Ticket SalesPolymarket Partners With Crypto Firm During World Cup
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On July 14, New York Governor Kathy Hochul announced a one-year moratorium on new large data center projects in the state. It's the nation's first such pause at a time when anti-data center politics is on the rise around the country. But Hochul insists that she's not anti-AI, and that she's an avid user of the technology, as well as a believer that it can be a force for economic growth. On this episode, we talk to Hochul about the logic of the pause, and what she hopes it will achieve. We also discuss energy and housing stress in the state, and what it would take for New York to welcome in driverless cars.

Read more: Meta’s Louisiana Data Center to Surpass $250 Billion Price Tag

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It seems obvious that among the many industries that AI might disrupt, the legal profession might face some of the most adverse outcomes. When clerical, research-based tasks like searching through databases and reading contracts are automated, what is left for lawyers to do and how might they justify all those billable hours? In this episode we speak with Gary Wingens, chair and partner at the law firm Lowenstein Sandler. He talks about how his firm is using AI and why he thinks the technology could end up increasing legal work for lawyers as costs come down, creating a sort of “Jevon's paradox” for lawsuits, deals and litigation. We also talk about the billable hours model and training junior talent.

Read more: AI Legal Startup Norm Valued at $1.2 Billion Funding Round

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Retail participation in the stock market is booming. And of course the biggest story in markets is the AI trade, which has created an incredible amount of demand for chips and memory. These two broad themes have come together in the form of leveraged, single-stock ETFs. And while these products are popular in the US, the scale coming out of Korea is enormous. It's a good week to talk about this intersection, because some of the biggest stories of the week include Samsung's earnings and SK Hynix's new US listing. Barclays's Global Head of Equities Tactical Strategies Alexander Altmann has used the word “terrifying” to describe the amount of notional exposure coming from these levered ETFs. He explains to us why that is and we talk to him about why, in such a short period of time, the world of levered ETFs has gotten to be so large, with AUM increasing threefold in Asia alone. He also us gets into how he is thinking through risk management and how we as society — and retail investors in particular — got to be overexposed on equities and why that keeps him up at night.
Read: SK Hynix’s $26.5 Billion Listing Reopens Asia Route to US Market

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