TBPN

GameStop + eBay, Neural Computers | Nat Eliason, Michael York, Maddie Hall, Anjney Midha, Ben Lamm, Jake Stauch, Garth Sheldon-Coulson, Katie Haun, Nick Abouzeid

TBPN·May 5, 2026

INVESTMENT OPPORTUNITIES

  • Company: eBay
  • Reasoning: GameStop CEO Ryan Cohen is proposing to acquire eBay to transform GameStop into a larger entity. The bull case for eBay, as discussed by Anjney Midha, involves significant operational fat to cut, specifically $2.4 billion in marketing spend that yielded only 1 million new users, equating to $2,400 per new user for a well-known brand. Furthermore, the collectibles market (e.g., rare cards, vintage items) is deemed structurally defensible against mass-market platforms like Amazon. GameStop's 1,600 physical retail locations could be leveraged for agentic commerce in the AI era by providing essential physical verification of used and rare assets, addressing the primary problem of fraud in such transactions for AI agents.
  • Price Target: GameStop's offer is $125 per share, comprising 50% cash and 50% GameStop common stock. This represents a 46% premium to eBay's closing price on February 4, 2026.

OVERVIEW

This episode delves into the evolving landscape of AI, starting with the concept of "neural computers" and Software 3.0. It then explores GameStop's ambitious bid to acquire eBay, highlighting the potential for AI-driven transformation in traditional commerce, and features discussions with founders on new ventures in AI-native education, sustainable energy, synthetic biology, home management, and venture capital.

KEY TOPICS

  • The emergence of "neural computers" and the Software 3.0 paradigm
  • GameStop's proposed acquisition of eBay and its financial implications
  • Alpha School's new founder development program for high school students
  • Challenges in maximizing GPU utilization for AI training and inference
  • Casa's subscription-based personal property management for homeowners
  • Living Carbon's large-scale reforestation and carbon credit projects
  • AMP PBC's thesis as an independent system operator for the compute grid and venture capital firm
  • Colossal Biosciences' de-extinction efforts and synthetic biology applications
  • Serval's AI platform for employee support and "Future Founders" program
  • Rivet's "TaxBench" for evaluating AI model reliability in accounting
  • Discussions on AI regulation, market readiness, and the "bitter lesson" in technology
  • The intersection of AI and cryptocurrency, particularly for agentic finance and provenance

MAIN TAKEAWAYS

  • AI is moving towards "neural computers" capable of on-the-fly UI generation and problem-solving, abstracting away complex software processes and making many "vibe-coded" apps unnecessary.
  • Ryan Cohen's bid for eBay, despite immediate funding questions, highlights a vision for integrating GameStop's physical infrastructure with eBay's marketplace to create a verified collectibles business, highly valuable in an AI-driven commerce world.
  • Educational models like Alpha School are adapting to the AI era by offering specialized founder development programs, emphasizing practical business building and mentorship from an early age.
  • The efficient allocation and utilization of AI compute resources are critical bottlenecks, leading to new ventures like AMP PBC aiming to optimize global GPU capacity as a public utility.
  • Frontier science companies like Living Carbon and Colossal Biosciences are attracting substantial capital by applying advanced technology (AI, synthetic biology) to address major environmental and biological challenges, moving beyond traditional tech.
  • AI models, while powerful, demonstrate significant reliability issues in complex, multi-step tasks (e.g., tax accounting), necessitating human oversight to ensure accuracy and avoid costly errors in high-stakes applications.
  • The convergence of AI and crypto is creating new opportunities in "agentic finance," where AI agents utilize blockchain for micro-payments, enhanced privacy, and verifiable provenance, with significant interest from both startups and established financial institutions.

NOTABLE QUOTES

Andre Karpathy: "imagine a device that takes raw video or audio into basically what's a neural net and uses diffusion to render a UI that's unique for that moment."
Anjney Midha: "The question isn't can GameStop afford eBay. The question is whether the underlying business actually works, and I think it does, but not for the reason I was expecting Ryan to pitch."
Anjney Midha: "We are entering, like, the great renaissance in technology."

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