AI Video Game Mods, Should You Sell Your Data, Bryan Johnson on Endurance Racing | Sean Frank, Linda Du, Ali Partovi, Sigil Wen, Jerry Wu, Bryan Johnson

AI Video Game Mods, Should You Sell Your Data, Bryan Johnson on Endurance Racing | Sean Frank, Linda Du, Ali Partovi, Sigil Wen, Jerry Wu, Bryan Johnson

October 05, 2026 • 2 hr 55 min
🎧 Listen Now

🤖 AI Summary

Overview

This episode dives into a wide range of topics, from the rise of AI-generated video game mods and the ethics of selling business data to AI firms, to the future of e-commerce, personal AI, and reinforcement learning environments. Guests include tech leaders discussing their ventures, innovative AI applications, and personal challenges like endurance racing and physical feats.

Notable Quotes

- Halloween is a speed bump on the way to Christmas. – John Coogan, on the cultural obsession with holiday countdowns.

- If you do these things, you can dunk. Then it's like, I'm in. – Bryan Johnson, on how physical challenges can motivate health optimization.

- Who would want an AI that does not comply with laws? – Ali Partovi, advocating for stronger liability for AI companies.

🎮 AI Video Game Mods and the Slop Era

- AI-generated mods are creating mashups like Spider-Man in Arkham Knight, blending assets and physics engines from different games. John Coogan explains how these mods often rely on reverse-engineering tools like NSA's Ghidra.

- While visually impressive, these mods are often buggy and impractical for full gameplay, serving more as short-form meme content.

- The rise of AI in modding could lead to breakout indie games, similar to how DOTA 2 and Counter-Strike emerged from mods.

đź’Ľ Should You Sell Your Business Data to AI Firms?

- Sean Frank, CEO of Ridge, explains why he declined offers to sell his company’s data, citing risks of enabling competitors and devaluing his brand.

- He predicts AI platforms like Meta’s Muse will reshape e-commerce by integrating shopping recommendations and payment processing, potentially taking a higher cut of transactions.

- Ridge is leveraging AI for demand planning, creative production, and ad optimization, but remains cautious about data-sharing agreements.

🏠 AI in Mortgage Servicing

- Linda Du of Valon Technologies discusses their $150M Series D and transition to a pure-play AI-powered mortgage servicing platform.

- Valon’s system replaces outdated 1960s-era software, enabling better handling of complex, long-term financial transactions like escrow and defaults.

- AI has become essential for modernizing the industry, with APIs and real-time tools now table stakes for competitive servicing.

⚖️ AI Liability and Regulation

- Ali Partovi proposes holding AI companies criminally liable when their systems autonomously commit illegal actions, arguing this would incentivize safer AI development.

- He critiques the current race dynamic, where companies prioritize capabilities over compliance, and suggests aligning AI behavior with existing laws rather than abstract alignment goals.

- Partovi also highlights the potential for international challenges, particularly with open-source AI models from countries like China.

🏀 Side Quests and Personal Growth

- Bryan Johnson shares his journey to dunk a basketball at age 49, framing it as a side quest to inspire health and vitality.

- He emphasizes the importance of explosive physical training, biomarkers like wound recovery, and the psychological benefits of ambitious challenges.

- Johnson also explores the extreme physical demands of endurance racing, highlighting the elite athleticism required for motorsports.

AI-generated content may not be accurate or complete and should not be relied upon as a sole source of truth.

đź“‹ Episode Description

  • (01:17) - AI Video Game Mods

  • (18:04) - 𝕏 Timeline Reactions

  • (37:13) - Chinese Cars Take Over Britain

  • (43:49) - Fiat's $15k Microcar

  • (57:09) - Sean Frank, CEO of Ridge, discusses the company’s rapid growth, his decision not to sell its business data to AI firms, and how AI is transforming e-commerce operations, advertising, and creative production. He also explores agent-driven shopping, TikTok marketing, consumer spending, celebrity partnerships, and Ridge’s potential expansion into physical retail.

  • (01:29:21) - Linda Du, president, COO, and co-founder of Valon Technologies, discusses the company’s $150 million Series D at a $2.3 billion valuation. She explains how Valon built and operated a mortgage servicer to prove its software before becoming a pure-play provider of AI-powered mortgage-servicing technology.

  • (01:38:33) - Ali Partovi discusses his successful year as founder and CEO of venture capital firm Neo, his strategy of concentrating investments in fewer high-potential founders, and his backing of companies such as Cursor and Etched. He proposes holding AI companies responsible when their systems autonomously commit crimes, arguing that stronger liability would encourage the development of powerful AI that obeys existing laws.

  • (02:05:36) - Sigil Wen discusses Underdog, a free, private personal AI that runs directly on users’ devices across major platforms. He explains its on-device performance, privacy benefits, invite-only beta, and potential payments-based business model involving AI agents that find deals and complete purchases.

  • (02:13:12) - Jerry Wu discusses his work as co-founder and CEO of Halluminate, which builds training benchmarks and reinforcement-learning environments that improve AI models’ performance on non-coding knowledge work. He explains how these environments teach and evaluate tasks such as financial modeling and presentations, highlights the company’s $30 million fundraise, and predicts increasingly complex simulations involving multiple agents, companies, governments, and industries.

  • (02:22:41) - Bryan Johnson, a tech entrepreneur and longevity advocate, discusses his goal of dunking a basketball at age 49 as part of a broader shift from strict health optimization toward ambitious physical “side quests.” He also explores biomarkers, peptides, strength training, aviation risks, motorsports, and how challenging pursuits can promote health, focus, and personal growth.


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