No Priors: Artificial Intelligence | Technology | Startups
The Rise of the Full-Stack Builder and Hyper-Leveraged Generalist with Microsoft CEO Satya Nadella
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com.
Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners.
Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.
Show Notes
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What does it mean for a business to truly operate at the AI frontier? In a special crossover episode at Microsoft Build, Sarah Guo and Elad Gil team up with Latent Space host “swyx” to talk with Microsoft Chairman and CEO Satya Nadella about the future of AI platforms, software development, and the tech ecosystem. Satya reflects on the latest breakthroughs from Microsoft Build, the strategic shift toward multi-model harnesses, and why private evaluations (evals) are now a company’s most important intellectual property. They also discuss how autonomous AI agents are reshaping the role of software engineers, the durability of SaaS business models, and why showing communities the ROI on data centers is so critical. Plus, Satya shares his thoughts on the economic and societal impacts of the token economy, as well as the future of AI-driven education startups.
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Chapters:
– Satya Nadella Introduction
– Reflections from Microsoft Build
– Microsoft’s AI Training Strategy
– Complexity of Real-World Deployment of AI
– Augmenting Human Capital
– Harnesses for Enterprise
– Developer Value
– Can Everybody Operate at the Frontier with Their Frontier Intelligence?
– Modern Definition of IP
– Future of Vendor vs. Enterprise Agents
– Near-Term Predictions on Model Pricing
– Durability of SaaS
– What Satya’s Building
– Future of Engineering Roles
– How Microsoft Can Be More Ambitious
– Data Centers and Community Impact
– AI’s Impact on Society
AI and Education
– Conclusion
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