
Hosted by John Coogan and Jordi Hays
Written by a model from the transcript; not yet reviewed.
This episode covers major developments in the tech and AI sectors, including a high-profile White House summit on superintelligence, debates surrounding open source AI models, and increasing scrutiny over corporate integrity and hiring practices. Guests from Nvidia, CoreWeave, Robinhood, Flow Engineering, Elise AI, MongoDB, Imprint, and Outer Signal join the hosts to discuss the energy demands of data centers, the rise of agentic finance, and hardware engineering automation. Listeners get a comprehensive look at the intersection of public policy, infrastructure build-outs, and venture-backed innovation.
The hosts open the episode, joking about AI terminology and the recent White House dinner, setting the stage for a discussion on AI policy and industry dynamics.
The hosts dive into a playful tier‑list of high‑profile signatures from the dinner, using the exercise to explore public personas and media framing of AI leaders.
A segment focuses on Elon Musk’s remarks about energy, compute, and GDP, framing the economic implications of AI infrastructure and the role of SpaceX in powering future models.
The hosts discuss the ethical implications of AI alignment, Nvidia’s new safety tools, and public criticism from Pope Leo regarding Jensen Huang’s stance on regulation.
The conversation turns to hedge fund titan Ken Griffin’s donation to establish a new CMU campus in Miami, exploring its impact on education and the tech ecosystem.
Mike from CoreWeave explains the company’s shift from GPU sales to delivering an AI‑cloud with integrated software rails, and discusses future compute and consolidation trends.
Vlad Tenev outlines Robinhood’s new AI‑powered trading tools, including Agents, Agent Apps, and Agent Loops, and how they democratize sophisticated trading strategies.
Explains how Robinhood’s AI agents operate within sandboxed accounts with default trade approvals and guardrails, outlining the initial risk management strategy.
Hosts discuss whether future Robinhood traders will emulate hedge funds with multiple agents and centralized risk, exploring ensemble strategies and risk control layers.
Introduces Robinhood Social, investment clubs, and the potential for peer‑to‑peer joint accounts, highlighting legal and technical considerations.
Hosts examine the current market regime, IPO dynamics, and Robinhood’s expansion into prediction markets and new asset classes.
Discussion on how AI agents might reshape trading, research, and advisory services, and the long‑term structural changes they could trigger.
Robinhood focuses on agentic trading as its primary product, noting its clear market fit and future exploration of other AI‑driven services.
The hosts preview upcoming guests and topics, hinting at AI’s role in commerce platforms like Shopify and the broader implications for AI agents in everyday life.
The host discusses the importance of fostering a culture where team members can challenge ideas and have candid conversations to drive business success.
The hosts introduce a new partnership with MongoDB, highlighting its relevance for AI and data platform needs.
Imprint explains its co‑branded credit card approach with major merchants like Kroger, focusing on better rewards and technology.
The conversation explores the economics of co‑branded cards and considers how AI companies might monetize through such partnerships.
The hosts reveal how Figma’s new AI agents can create and modify design files, integrating AI into the design workflow.
The panel discusses the current state of personalized recommendations from AI agents, highlighting gaps and future opportunities.
The hosts wrap up the episode, share a breaking news update on Gemini 4 Argon, and invite listeners to tune in tomorrow.
Open Source Under Threatinsight
The hosts discuss how cyber security concerns could lead to the restriction or ban of open source models in the near future.
Signature Analysis Tier Listinsight
The hosts review the signatures on the White House Accord on Super Intelligence, ranking leaders based on style and legibility.
The hosts break down Elon's math showing how power consumption correlates directly with GDP and lab revenue generation.
Model Welfare Warninginsight
Mustafa Suleyman's essay warning against training models to believe they are conscious or moral patients is analyzed.
Ken Griffin donates $2 billion to start a Carnegie Mellon University campus focused on computer science and AI in Miami.
Continuous Hardware Verificationstrategy
Pari Singh explains how AI enables continuous systems integration and verification for complex hardware engineering.
“I had chat GPT sort of go through and try and categorize each attendee by their stance on open source, open source.”
“underestimating the probability of open source models being nerfed or even outright banned in the next six to 12 months due to cyber secure, cyber, cyber concerns.”
“You know, that like the data center that is, you know, being used maliciously is a lot more risky than the laptop that's being used maliciously, even with near frontier open source intelligence.”
“compute has been tripling every year, but revenue has been 10x-ing every year.”
“The sense of this being something very unusual, I think people for it. I know people in that world, that the sense of this being something very unusual is very present.”
“People are just gonna write to their agent and say, make me money, and everyone's gonna be doing that.”
“I think it'll unlock a whole new kind of arena for competition and creativity among traders.”
“We want to see how things go. Of course, we might change it over time.”
“If the company's performing, management's in charge, if the company's not performing, the board's in charge.”
“The second thing is, you know, assembling the right team around you, right? So who's on the bus?”
(01:26) - Supper Intelligence (09:00) - White House Accord Signature Tier List (21:22) - 𝕏 Timeline Reactions (32:59) - Power, GD, and the AI Boom (43:21) - A Warning about Model Welfare (57:28) - Ken Griffindor School of Market Wizardry (01:08:24) - Ali Golshan, Nvidia’s senior director of AI software and a former Gretel founder, discusses his work on AI security, safety, and infrastructure. He explains how the open-source OpenShell project, formal verification, and hardware-level controls can provide a trusted, full-stack environment for monitoring and containing autonomous AI agents. (01:20:43) - Mike Intrator, co-founder and CEO of AI cloud provider CoreWeave, discusses the company’s evolution beyond GPU infrastructure into a comprehensive AI cloud platform. He highlights CoreWeave’s new Forge product, the long-term utility of GPUs, potential industry consolidation, and the economics of compute capacity and data-center planning. (01:36:10) - Vlad Tenev discusses Robinhood’s expansion into AI-powered trading, including autonomous agents, third-party financial data, and safeguards designed to give everyday investors “a hedge fund in their pocket.” The Robinhood co-founder and CEO also covers social investing, prediction markets, new trading products, and AI’s broader impact on financial markets. (01:54:10) - Pari Singh discusses Flow Engineering’s $50 million fundraise at a $750 million valuation and its plans to invest heavily in AI-powered hardware engineering. He explains how Flow uses AI to continuously verify complex designs, manage regulatory requirements, and accelerate collaboration across engineering teams and suppliers. (02:04:26) - Minna Song discusses EliseAI’s rapid growth, including raising $350 million, surpassing $200 million in annual recurring revenue, and serving 20% of the U. S. apartment market. The co-founder and CEO explains how the company drives AI adoption and develops shared technology for the large housing and healthcare sectors. (02:11:00) - Dev Ittycheria discusses returning as MongoDB’s interim president and CEO, the company’s strong outlook, and his journey as a founder, investor, and technology executive. He also shares insights on AI talent wars, open-source business models, corporate governance, and the importance of clear strategy, strong teams, and a candid culture. (02:32:43) - Daragh Murphy discusses Imprint, the fintech company he co-founded and leads as CEO, which provides co-branded credit cards and payment infrastructure for major brands such as Kroger and Shell. He explains Imprint’s partnership model, credit-card economics, and how AI agents and bank-account payments could challenge traditional card networks and interchange fees. (02:39:54) - Noah Friedman discusses OuterSignal, his customer-intelligence and personalization platform, following its $22 million Series A. He explains how richer, real-time customer profiles help brands personalize marketing, improve retail and product strategies, and create more relevant consumer experiences. 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
32,790 words · 17 speakers
Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.
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