(Bloomberg) -- Tracy Alloway and Joe Weisenthal kick off the Odd Lots podcast by interviewing the legendary television and radio host Tom Keene. On Tom’s mind this week: Fat tail risks, mathiness on Wall Street and how he rediscovered his favorite guitar. And don’t forget Newtonian mechanics and bow ties.

(Bloomberg) -- Tracy Alloway and Joe Weisenthal kick off the Odd Lots podcast by interviewing the legendary television and radio host Tom Keene. On Tom’s mind this week: Fat tail risks, mathiness on Wall Street and how he rediscovered his favorite guitar. And don’t forget Newtonian mechanics and bow ties.

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

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

Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation for interviews with the most interesting minds in finance, economics and markets.

Odd Lots

On Bloomberg’s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday, Thursday, and Friday.

On Bloomberg&rsquo;s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday, Thursday, and Friday.

Episode 1: Tom Keene on Mathiness and His Favorite Guitar

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/701b771a-ea1f-4c34-885c-ae270061bb0c/transcript

Since the Hugging Face incident, concerns over AI doomsday scenarios has entered the mainstream. But of course, some people have been warning about this for years, long before LLMs or ChatGPT. In their 2025 book If Anyone Builds It, Everyone Dies, Nate Soares and Eliezer Yudkowsky spelled out their vision of humanity's inevitable demise once superintelligent AI is built. In this episode, we speak with Soares, who serves as president of the Machine Intelligence Research Institute, about why he believes it's impossible to "align" superintelligent AI, and how exactly the technology can and will go rogue as it gets more and more advanced.

Read more:
Anthropic IPO Investors Struggle to Put a Price on Rogue AI Risk
AI Bubble Risks Worst S&P 500 Crash Since 2008, Strategist Says

Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots

Subscribe to the Odd Lots Newsletter
Join the conversation:discord.gg/oddlots

Since the Hugging Face incident, concerns over AI doomsday scenarios has entered the mainstream. But of course, some people have been warning about this for years, long before LLMs or ChatGPT. In their 2025 book If Anyone Builds It, Everyone Dies, Nate Soares and Eliezer Yudkowsky spelled out their vision of humanity's inevitable demise once superintelligent AI is built. In this episode, we speak with Soares, who serves as president of the Machine Intelligence Research Institute, about why he believes it's impossible to "align" superintelligent AI, and how exactly the technology can and will go rogue as it gets more and more advanced.
Read more: <a href="https://www.bloomberg.com/news/articles/2026-10-08/anthropic-ipo-investors-struggle-to-put-a-price-on-rogue-ai-risk?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">Anthropic IPO Investors Struggle to Put a Price on Rogue AI Risk</a> <a href="https://www.bloomberg.com/news/articles/2026-10-08/ai-bubble-risks-worst-s-p-500-crash-since-2008-strategist-says?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-prosemirror-content-type="mark" data-prosemirror-mark-name="link">AI Bubble Risks Worst S&amp;P 500 Crash Since 2008, Strategist Says</a>
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Nate Soares on How AI Really Could Kill Us All

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/f6fd1a43-7c77-47c2-ae42-b4e0016e2d9b/transcript

Last month, OpenAI announced that it had produced an AI-generated proof for the Navier-Stokes problem, one of the most famous unsolved questions in mathematics. LLMs used to be bad at counting, but now they are solving math problems that have stumped humans for decades. Meanwhile, at universities, the problem of AI in education continues: Now that LLMs can do a student's homework, teachers are struggling to keep up. It is clear that AI is very quickly changing how math is taught and how it is practiced by professionals. On this episode, Justin Solomon, who is the associate dean for engineering education at MIT, gives us a primer on how mathematicians (both pure and applied) are responding to all the advances in AI. He also explains what exactly the Navier-Stokes problem is and why the OpenAI proof is hard for even the pros to parse, what movies get wrong about how mathematicians do their jobs, and how he's changing his pedagogical approach in the age of AI.

See Odd Lots live in Chicago! Tickets on sale here

Last month, OpenAI announced that it had produced an AI-generated proof for the Navier-Stokes problem, one of the most famous unsolved questions in mathematics. LLMs used to be bad at counting, but now they are solving math problems that have stumped humans for decades. Meanwhile, at universities, the problem of AI in education continues: Now that LLMs can do a student's homework, teachers are struggling to keep up. It is clear that AI is very quickly changing how math is taught and how it is practiced by professionals. On this episode, Justin Solomon, who is the associate dean for engineering education at MIT, gives us a primer on how mathematicians (both pure and applied) are responding to all the advances in AI. He also explains what exactly the Navier-Stokes problem is and why the OpenAI proof is hard for even the pros to parse, what movies get wrong about how mathematicians do their jobs, and how he's changing his pedagogical approach in the age of AI. See Odd Lots live in Chicago! <a href="https://events.bloombergevents.com/event/OddLotsLiveChicago/summary">Tickets on sale here</a>

How AI Is Upending the World of Mathematics

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/f49c2ca3-dfe7-4a67-bc11-b4dd01463f66/transcript

In so many conversations, there's a widespread view that Europe is falling behind. Or it's in trouble. It has been two years since the publication of the Draghi report and the problems the report identified about European competitiveness are far from solved: Demographic challenges, rising energy costs, and a lagging tech sector still cast a shadow over Europe. But according to the economist and policy analyst Dominik Leusder (who also writes the Leusder of Last Resort Substack) the Draghi report might have mismeasured the true scale of Europe's issues, and he asks if the popular narrative of European decline is an accurate one. We also speak about whether Europe needs a frontier AI model, why long, wine-soaked lunches are not a good way to measure productivity, and the state of Europe's vexed relationship with China as a trade partner and competitor.

Read more:
EU Plans Import Cap on Chinese Hybrid Cars to Protect Sector
Alibaba’s Joe Tsai Says Open Source Is Europe’s Best Shot at AI

Only Bloomberg - Business News, Stock Markets, Finance, Breaking & World News subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots

Subscribe to the Odd Lots Newsletter
Join the conversation:discord.gg/oddlots

In so many conversations, there's a widespread view that Europe is falling behind. Or it's in trouble. It has been two years since the publication of the Draghi report and the problems the report identified about European competitiveness are far from solved: Demographic challenges, rising energy costs, and a lagging tech sector still cast a shadow over Europe. But according to the economist and policy analyst Dominik Leusder (who also writes the Leusder of Last Resort Substack) the Draghi report might have mismeasured the true scale of Europe's issues, and he asks if the popular narrative of European decline is an accurate one. We also speak about whether Europe needs a frontier AI model, why long, wine-soaked lunches are not a good way to measure productivity, and the state of Europe's vexed relationship with China as a trade partner and competitor.
Read more: <a href="https://www.bloomberg.com/news/articles/2026-10-07/eu-prepares-import-cap-on-chinese-hybrid-cars-to-balance-trade?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">EU Plans Import Cap on Chinese Hybrid Cars to Protect Sector</a> <a href="https://www.bloomberg.com/news/articles/2026-10-07/alibaba-s-joe-tsai-says-open-source-is-europe-s-best-shot-at-ai?utm_medium=referral&amp;utm_source=podcast&amp;utm_campaign=odd_lots&amp;utm_content=article" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">Alibaba&rsquo;s Joe Tsai Says Open Source Is Europe&rsquo;s Best Shot at AI</a>
Only <a href="http://bloomberg.com/" data-testid="inline-card-resolved-view">Bloomberg - Business News, Stock Markets, Finance, Breaking &amp; World News</a> subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at&nbsp; <a href="https://www.bloomberg.com/subscriptions/oddlots?in_source=oddlotspodcast" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">bloomberg.com/subscriptions/oddlots</a>
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What Everyone Gets Wrong About the Economic Problems in Europe

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/201de292-b347-44a2-8ad4-b4dc016defab/transcript

Episode 1: Tom Keene on Mathiness and His Favorite Guitar

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