For those who can't get enough Odd Lots, we're now offering you... "Lots More." This new podcast show, appearing on Fridays, will see hosts Tracy Alloway and Joe Weisenthal chatting with some of your favorite Odd Lots guests about the latest breaking news and the biggest themes on their minds in markets, finance and economics. Joe’s away for this episode. So Tracy gathers two of her favorite Bloomberg colleagues — Matt Levine and Mike Mackenzie — to talk about the basis trade that’s got regulators worried, plus the recent bond market selloff, reminiscences over Tokyo in the 1990s and much more.

For those who can't get enough Odd Lots, we're now offering you... "Lots More." This new podcast show, appearing on Fridays, will see hosts Tracy Alloway and Joe Weisenthal chatting with some of your favorite Odd Lots guests about the latest breaking news and the biggest themes on their minds in markets, finance and economics. Joe’s away for this episode. So Tracy gathers two of her favorite Bloomberg colleagues — Matt Levine and Mike Mackenzie — to talk about the basis trade that’s got regulators worried, plus the recent bond market selloff, reminiscences over Tokyo in the 1990s and much more.

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.

Lots More with Matt Levine and Mike Mackenzie

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/dd4c6756-90e0-4a1c-afb1-b08b016512d6/transcript

When we spoke to DRW's Don Wilson last year, he talked about building out a GPU market that might be bigger than oil. Now, a year later, he is working with Carmen Li to do just that. Li is the CEO of two companies — Silicon Data and Compute Exchange (where she works alongside Wilson). The former company is building the index for GPU pricing while the latter is a spot marketplace for GPU procurement. Today's episode — recorded at our live show at City Winery in New York — gets into how Li is building a whole new market for GPUs at her two companies. We talk about the challenge of standardizing compute, GPU price volatility, if used GPUs are like used cars, what goes into constructing a GPU index, and what it means to win the GPU lottery.

Read more:
Jane Street Plans New Data Center as Computing Power Runs Scarce
SpaceX Inks $30 Billion Computing Power Deal With Google

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

When we spoke to DRW's Don Wilson last year, he talked about building out a GPU market that might be bigger than oil. Now, a year later, he is working with Carmen Li to do just that. Li is the CEO of two companies &mdash; Silicon Data and Compute Exchange (where she works alongside Wilson). The former company is building the index for GPU pricing while the latter is a spot marketplace for GPU procurement. Today's episode &mdash; recorded at our live show at City Winery in New York &mdash; gets into how Li is building a whole new market for GPUs at her two companies. We talk about the challenge of standardizing compute, GPU price volatility, if used GPUs are like used cars, what goes into constructing a GPU index, and what it means to win the GPU lottery.
Read more: <a href="https://www.bloomberg.com/news/articles/2026-06-04/jane-street-plans-new-data-center-as-compute-power-runs-scarce?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">Jane Street Plans New Data Center as Computing Power Runs Scarce</a> <a href="https://www.bloomberg.com/news/articles/2026-06-05/google-buying-computing-from-spacex-in-920-million-a-month-deal?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">SpaceX Inks $30 Billion Computing Power Deal With Google</a>
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Carmen Li's Plan to Build a Futures Market for Compute

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/60472ab3-350e-4e47-a612-b4670121babd/transcript

Anjney Midha wrote the first check to Anthropic. He teaches a viral course at Stanford on how AI works. And he was, until recently, a partner at a16z. In other words, he is AI-industry royalty. Midha's new project is AMP PBC, a company that believes it can radically lower the price of compute. To accomplish that, he is working on building a compute grid that turns GPUs into a standardized utility. But right now, compute is too fragmented. It's too heterogeneous. And given the way contracts are structured, he says that labs are being forced to spend money on capacity that often goes unused. In other words, small labs are forced to pay up for big, long-term contracts, even though their own demand (particularly during model training) may be very spiky. On this episode, Midha explains how the market for compute currently works and why he believes there's a software solution that could significantly improve compute utilization. He also tells us why he does not anticipate one company will emerge as the dominate player and that instead we'll have a wide range of models, each optimally used in specific applications.

Read more:
Amazon Says Its Data Centers Use 2.5 Billion Gallons of Water
Oracle Falls Most in Six Months on Mounting Data Center Costs

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

Anjney Midha wrote the first check to Anthropic. He teaches a viral course at Stanford on how AI works. And he was, until recently, a partner at a16z. In other words, he is AI-industry royalty. Midha's new project is AMP PBC, a company that believes it can radically lower the price of compute. To accomplish that, he is working on building a compute grid that turns GPUs into a standardized utility. But right now, compute is too fragmented. It's too heterogeneous. And given the way contracts are structured, he says that labs are being forced to spend money on capacity that often goes unused. In other words, small labs are forced to pay up for big, long-term contracts, even though their own demand (particularly during model training) may be very spiky. On this episode, Midha explains how the market for compute currently works and why he believes there's a software solution that could significantly improve compute utilization. He also tells us why he does not anticipate one company will emerge as the dominate player and that instead we'll have a wide range of models, each optimally used in specific applications.
Read more: <a href="https://www.bloomberg.com/news/articles/2026-06-11/amazon-says-its-data-centers-use-2-5-billion-gallons-of-water?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">Amazon Says Its Data Centers Use 2.5 Billion Gallons of Water</a> <a href="https://www.bloomberg.com/news/articles/2026-06-10/oracle-reports-higher-than-expected-data-center-spending?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">Oracle Falls Most in Six Months on Mounting Data Center Costs</a>
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Anjney Midha's Plan to Radically Lower the Price of Compute

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/90cd8aa8-11c9-4cd3-813a-b467011c7f57/transcript

The hay market is not a transparent market: It is very fractured by types of hay, whether it is alfalfa or clover hay. There are a few opaque, illiquid markets like this — scrap metal for instance — that require some hands-on investigating to figure out. Aiden Johnson is co-founder and CEO of the HayWire newsletter, which aims to make the hay market more transparent: He and co-founder Cole Glasgow use an AI model to mine public data sources — like USDA reports on auction prices across different regions — to produce a weekly newsletter on the hay market. On this episode, we speak with Johnson as he explains why he chose hay over other kinds of markets, how HayWire was made possible through vibecoding, networking with hay farmers, why the ROI of owning a horse is dropping with hay prices spiking, and why hay demand keeps on tightening.

The hay market is not a transparent market: It is very fractured by types of hay, whether it is alfalfa or clover hay. There are a few opaque, illiquid markets like this &mdash; scrap metal for instance &mdash; that require some hands-on investigating to figure out. Aiden Johnson is co-founder and CEO of the HayWire newsletter, which aims to make the hay market more transparent: He and co-founder Cole Glasgow use an AI model to mine public data sources &mdash; like USDA reports on auction prices across different regions &mdash; to produce a weekly newsletter on the hay market. On this episode, we speak with Johnson as he explains why he chose hay over other kinds of markets, how HayWire was made possible through vibecoding, networking with hay farmers, why the ROI of owning a horse is dropping with hay prices spiking, and why hay demand keeps on tightening.

How a Vibecoded Newsletter Is Making the Hay Market More Transparent

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/3cfa0968-658f-4cce-a2df-b466015e5042/transcript

Lots More with Matt Levine and Mike Mackenzie

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