
Hosted by John Coogan and Jordi Hays
Written by a model from the transcript; not yet reviewed.
This episode of TBPN covers a chaotic financial morning on Wall Street centered around the sudden collapse and unwinding of Leopold Aschenbrenner's AI-focused hedge fund, Situational Awareness. Amid heavy leverage and macro pressures, Ken Griffin's Citadel stepped in to acquire the fund's public assets, while industry figures like Martin Shkreli weigh in on the mechanics of the blowup and the realities of high-volatility AI infrastructure bets. The hosts also discuss Ferrari's surprisingly rapid sales milestone for their controversial new electric vehicle, the Luce, and interview a lineup of tech and venture guests including Guillaume Verdon, Lulu Meservey, Michael Kim, and Vlad Tenev.
The discussion explores the broader lessons of leverage, risk management, and market sentiment, drawing parallels to historical tech bubbles and modern venture capital dynamics. Guests share tactical insights into early-stage fund creation, the mechanics of unravelling multi-billion-dollar stock portfolios, and the shifting landscape of founder media appearances. Throughout, the hosts maintain a fast-paced, news-driven review of the timeline, capturing the raw reactions of the tech community as historic events unfold in real time.
Hosts introduce the episode and discuss Leopold Ochenbrenner’s hedge fund collapse and the market fallout.
The hosts review the timeline of AI infrastructure stock plummets and the broader market reaction.
The panel explains how large institutional sellers navigate public markets, advertising, and prime broker involvement.
Exploration of Ken Griffin’s strategy in acquiring distressed assets and maintaining market neutrality through hedges.
Discussion of Leopold’s investment thesis, heavy leverage, and the mechanics of fund liquidation.
Speakers speculate on the long‑term impact of AI on capital allocation, leverage, and market stability.
Discussion of how Leopold’s hedge fund scales leverage and the appeal of private equity deals, especially with Anthropic.
Explains how prime brokers facilitate leverage, the spread they earn, and the risks involved with concentrated portfolios.
A deep dive into the Kelly Criterion, its application to trading, and the dangers of over‑betting in hedge funds.
Ferrari announces that its controversial electric model, the Luce, has hit its 2026 sales target, sparking debate over its design and market strategy.
Interview with Guillaume Verdon about Extropic’s new thermodynamic computing chips, their energy efficiency, and potential applications.
Wrap‑up of the episode, summarizing key takeaways and looking ahead to upcoming announcements and industry trends.
Panel discussion on the effectiveness of one‑off viral launches versus sustained, consistent engagement for founders and startups.
Explores how CEOs should choose podcasts, balancing breadth versus depth, and the value of focused outreach over volume.
Discussion of how early CEOs like Elon and Brian Armstrong leveraged small podcasts to build visibility before mainstream media exposure.
Exploration of whether CEOs should cultivate mystery and aura instead of traditional media training, citing examples like Bezos, Dorsey, and Ilya Sutskever.
Analysis of Leopold’s unique reputation, the dangers of copying other CEOs’ personas, and the importance of authentic brand building.
Guidance on how founders should communicate during crises, balancing humility, principle, and avoiding over‑excitement, with real‑world examples.
Deep dive into how LPs, especially endowments, view venture capital, the evolution of fund selection, and the role of early‑stage investing.
Overview of Simulay’s foundation models that predict human behavior, their market traction, and how they democratize AI insights for businesses.
Discussion of K2 Space’s satellite ambitions, launch strategies, and the broader implications for the space economy.
Wrap‑up of the episode, acknowledgments, and teasers for upcoming guests and topics.
Situational Awareness Fund Liquidatesdata
CNBC and Bloomberg report that Leopold Aschenbrenner's hedge fund has been forced to unwind its public stock positions after severe losses in AI infrastructure.
Variance Drag Ruin Probabilityinsight
Quant hedge fund manager Richard Crabe points out that trading at high volatility created roughly even odds of ruin for the fund, independent of AI thesis accuracy.
Closed Circle Asset Biddingstory
Martin Shkreli reveals that Jane Street, Millennium, and Citadel were brought in late to bid on the remains of the liquidated fund.
Ferrari Electric Luce Sales Targetdata
Despite a polarizing design that drew heavy backlash, Ferrari's new electric vehicle has reportedly hit its 2026 sales target of under 500 units within two months.
Sparsity Scaling Law Insightsinsight
Guillaume Verdon discusses an upcoming blog post detailing how sparse model structures on thermodynamic chips can achieve high intelligence per watt.
“You need to go back up 100% if you're down 50%.”
“Variance drag alone is 113% a year and risk of ruin is roughly a coin flip over the fund's life.”
“A 25% drawdown takes you out of business.”
“I don't want to hurt somebody that's giving me good information and betray their confidence because I have to keep the confidence of these folks if I want to keep talking to them.”
“So if you go to a prime broker and say, I'm never going to use leverage. Uh, never? They say, I'm never going to use leverage and I'm never going to really trade a lot with, with, with your firm.”
“If you have 55% edge, your optimal bet size is 10%. That's still quite volatile for folks. And so people do half Kelly or quarter Kelly.”
“We want to scale things down. We think there's going to be a race to densification of intelligence. So we started that about four years ago, which was very early to worry about energy.”
“If you sparsify your model, because our chips have a sort of sparse structure. So that means sparse is just, you know, current GPUs, they have big matrices, which are these grids and, and basically every entry in the grid is, is busy, right?”
“The most the long can lose is a hundred percent, but if a 4X lever, the most long can lose is 25%.”
“I think Elon did this with Lex very early and there were, there, there's a whole bunch of other examples, but.”
(00:17) - Leopold Sold (12:14) - Martin Shkreli discusses the leveraged collapse of a major AI-focused hedge fund, explaining how forced liquidation, predatory short-selling, and excessive position sizing can rapidly destroy a portfolio. The former hedge fund manager and pharmaceutical executive also examines Citadel’s reported acquisition of the fund’s assets, the broader correction in AI stocks, and Wall Street’s recurring failure to heed the risks of leverage. (56:19) - Ferrari Undefeated (01:06:24) - Guillaume Verdon, founder of Extropic, discusses the company’s thermodynamic computing technology, which uses probabilistic electronics to run generative AI workloads with far greater energy efficiency. He also covers potential applications, government support for domestic chip manufacturing, AI safety and accelerationism, and the challenges of building a deep-tech company while maintaining a prominent public voice. (01:19:16) - 𝕏 Timeline Reactions (01:20:36) - Lulu Meservey discusses how founders and CEOs can build lasting relevance through consistent, authentic, and strategically focused communication rather than rage bait, viral stunts, or excessive media appearances. Drawing on her communications expertise at Rostra, she argues that leaders should prioritize trust, audience fit, principled messaging, and approaches that suit their individual personalities. (01:47:35) - Michael Kim is the founder of Cendana Capital, an institutional investor focused on pre-seed and seed-stage venture funds. Michael discusses Cendana’s growth, its approach to identifying promising fund managers, the importance of founder access and investment judgment, and lessons from both missed opportunities and exceptionally successful investments. (02:06:39) - Joon Sung discusses Simile’s $200 million fundraise and rapid growth as an applied AI lab building models that predict human behavior. He explains how its simulations help companies test products and understand customer preferences at scale while democratizing access to market insights. (02:17:35) - Karan Kunjur, co-founder and CEO of K2 Space, discusses the company’s $500 million funding round, successful first satellite mission, and more than $1 billion in signed contracts. He explains K2’s vision of building large, high-power satellites for commercial and national-security uses, including communications, orbital computing, and advanced space infrastructure. (02:28:35) - Vlad Tenev, co-founder and CEO of Robinhood, discusses the company’s record growth, expanding suite of financial products, and mission to broaden individual asset ownership. He also covers global markets, Robinhood Social, product design, and using mathematical superintelligence to verify software and improve cybersecurity. TBPN is made possible by: Ramp - https://ramp.com Public - https://public.com Cisco - https://www.cisco.com Console - https://www.console.com CrowdStrike - https://www.crowdstrike.com Figma - https://www.figma.com MongoDB - https://www.mongodb.com NYSE - https://www.nyse.com Railway - https://railway.com Shopify - https://www.shopify.com Codex - http://openAI.com/codex Follow TBPN: https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/tbpn/id1772360235 https://www.youtube.com/@TBPNLive
33,031 words · 9 speakers
Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.
Page updated · transcript and summary are machine-generated