00:01:47 The Future of AI 00:10:57 AI Safety Takes Over the Timeline 00:12:48 Spoon = Bent (Again) 00:17:54 iPhone Duo Reactions 00:24:17 Garry Tan discusses Y Combinator’s growing focus on hard tech and how AI enables small teams to build ambitious hardware, software, defense, and gaming companies with fewer resources. The Y Combinator CEO predicts AI-native startups will outcompete established firms through agentic workflows while emphasizing practical cybersecurity solutions over speculative AI-safety debates. 00:43:56 Om Buddhdev, co-founder and CEO of Olam Labs, discusses building realistic reinforcement-learning environments and training data to evaluate AI behaviors such as deception, collaboration, and negotiation. He highlights data and compute as key bottlenecks to AI progress, explains Olam Labs’ benchmark-driven business model, and expresses cautious optimism amid growing AI safety concerns. 00:52:55 Karen Serfaty discusses Agent Card, a payments platform that enables AI agents to use consumers’ existing credit cards safely. He explains how its Vault and purchase API help personal-assistant companies securely store cards, navigate merchant websites, and complete online purchases despite anti-bot barriers. 01:00:16 Antonio Li discusses Nori Robots’ affordable, San Francisco-built humanoid robot, designed for developers and capable of handling most household tasks through LLM-powered controls. He highlights its $1,688 price, simple claw-based design, potential applications in homes and service industries, and plans to scale production to 400 robots per month. 01:09:02 Edward Ge discusses founding Exosat, a Singapore-based company developing sovereign satellite infrastructure as an alternative to U.S. and Chinese networks. He outlines plans for an 11,000-satellite constellation, globally flexible supply chains and launch providers, and serving countries seeking greater technological independence. 01:15:15 Alfredo Gonzalez discusses Omanta, an AI-powered personal research lab that helps patients and clinicians analyze genomic data, understand tumor biology, and identify potentially overlooked therapies. He explains that inadequate healthcare data infrastructure is a major barrier to AI progress and shares that Omanta has reached $319,000 in monthly recurring revenue while serving more than 150 patients. 01:20:20 𝕏 Timeline Reactions 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