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This week on Built 2 Scale, Matt and Scott unpack the rise of AI agents, lawsuit battles in SaaS, and what Chick-fil-A can teach startups about scale. From Tesla’s self-driving deliveries to Waymo rid...
Matt and Scott explore the latest AI developments from Google and OpenAI, including Google's agent-to-agent protocol and OpenAI's memory upgrades. They discuss the competitive landscape of autonomous vehicles between Tesla and Waymo, examine China's manufacturing advantages, and dive into robotics applications from drone deliveries to humanoid robots for home automation. The episode emphasizes execution over ideas in the current golden age of entrepreneurship.
Matt shares insights from Chick-fil-A's operations, revealing how they achieve $2M+ profit per location through exceptional culture, fresh ingredients, and hand-made food. The discussion explores how seemingly unscalable businesses can succeed through strong values and execution, challenging Peter Thiel's monopoly-focused advice.
Analysis of Figma suing Lovable over 'dev mode' trademark, revealing how litigation often signals competitive fear. Matt shares BuildPass's own cease-and-desist experience, while Scott discusses Elon's lawsuits against OpenAI and the broader question of whether IP law serves innovation in the AI era.
Deep dive into China's competitive advantages shifting from cheap labor to cheap energy, automation, infrastructure, and skilled workforce density. Discussion covers tariff implications and whether the US can maintain its innovation moat without leveraging China's manufacturing capabilities.
Technical breakdown of Google's agent-to-agent protocol announcement, distinguishing it from MCP (Model Context Protocol). Matt explains how A2A enables AI agents to communicate with each other, creating organizational structures where software agents work alongside humans.
Scott demonstrates Google's product strategy with NotebookLM's interactive podcast feature and Firebase Studio's no-code platform. Discussion covers Google's vertical integration from quantum computing to YouTube data, positioning them against Microsoft's earlier Copilot launch.
Scott shares his experience with OpenAI's memory upgrade that remembers entire conversation history, not just top points. Discussion covers context window expansion to 1M tokens, new models (4.1, o3, o4 mini), and OpenAI's potential $3B acquisition of Codium/Windsurf.
Analysis of Tesla's promise to deliver cars autonomously to buyers' homes and Waymo's distribution partnership with Uber in Austin and Atlanta. Discussion of vertical integration strategies and prediction that Tesla and Uber-Waymo will become the two major autonomous vehicle players.
Coverage of Zipline's drone delivery stations in Austin for last-mile logistics, China's 10,000-drone displays, and construction applications. Discussion includes privacy concerns, noise pollution, and regulatory challenges for widespread drone adoption.
Scott presents Elysium's vision for autonomous homes and the privacy paradox: replacing human help (gardeners, cleaners, cooks) with robots that record everything. Proposes middle-ground solution of robot service teams that complete tasks in 3-hour sweeps.
Discussion of tech companies and AI tools attacking consulting firms, with examples of people leaving Accenture for tech companies. Scott shares frustrating experience with Big Four consultants providing no value, while emphasizing current opportunity for founders.
Scott reflects on LA devastation and the impossibility of rebuilding without robotics, connecting to broader housing affordability mission. Emphasizes importance of communal spaces, character, and government's role in providing public infrastructure rather than red tape.
The Blueprint for Scaling: Google’s A2A protocol, GPT-4.1, Memes and more
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