The a16z Show

Steven Sinofsky joins Theo Jaffee and Sofia Puccini for a conversation on AI regulation, open-source models, and what history can teach us about technological revolutions. Drawing on decades of experience leading products at Microsoft, Sinofsky argues that governments are rushing to regulate AI before they fully understand the technology, risking innovation in the process.

They discuss the "precautionary principle," why open source has historically accelerated innovation, the role of regulation in emerging technologies, the AI competition between the U.S. and China, and why existing laws may already address many of the risks people attribute to AI.

 

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Ben Horowitz joins Theo Jaffee and Sofia Puccini to discuss one of the biggest debates in AI today: the future of open-source models. They examine the growing push to restrict open models, why Ben believes open source is critical for security, innovation, and competition, and what happens if a handful of frontier labs come to dominate the AI ecosystem.

They also discuss distillation, AI monopolies, China's role in open-source AI, robotics, manufacturing, the economics of frontier models, and why Ben believes the AI market is still in its earliest stages. The conversation closes with a look at AI-generated art, creativity, and whether new tools will spark the next cultural renaissance.

 

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Sriram Krishnan joins Theo Jaffee and Sofia Puccini just after concluding his tenure as Senior White House Policy Advisor on AI to discuss one of the biggest weeks yet for open-source AI. They unpack the rapid release of models including Kimi K3 and Qwen, why open models are putting pressure on frontier labs, and what it means for pricing, competition, and the future of AI infrastructure.

They also discuss AI policy, distillation, cybersecurity, the role of open-weight models, whether the U.S. should respond to China's growing AI capabilities, and how governments and frontier labs should navigate the next phase of AI development.

 

Resources:

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Travis Kalanick joins TBPN to discuss Atoms, his vision for industrial AI, and why he believes the biggest opportunities in AI lie beyond software.

He explains how Atoms is bringing autonomy to mining, logistics, and food production, why robotics will reshape physical industries, and how lower costs and greater automation could unlock entirely new economic opportunities. Travis also reflects on raising $1.7 billion, building in stealth, regulation, hiring, and what he's learned since Uber.

 

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Travis Kalanick, Ben Horowitz, and Erik Torenberg reunite to reflect on Uber's early days, the investment that almost happened, and why Kalanick believes the next great technology opportunity lies beyond software.

They discuss the lessons of building Uber, the value of founder-led companies, and why Kalanick spent nearly eight years quietly building Atoms before stepping back into the spotlight.

The conversation explores industrial AI, robotics, autonomy, mining, food production, and Kalanick's vision for digitizing the physical world, where software, manufacturing, real estate, and transportation come together to transform entire industries.

 

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