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Andreessen Horowitz · Technology

The a16z Show

The a16z Show discusses tech and culture trends, news, and the future – especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This show is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!

Episodes

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World Models, Robotics, and the Future of 3D AI

13 Sep 2026
23m
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World models represent a new category of horizontal AI engines designed for visual and physical understanding, capable of generating, reconstructing, and simulating complex environments. World Labs co-founder Justin Johnson introduces Atlas, a multimodal model that enables precise spatial control and 3D grounding, movi...

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Why Companies Are Becoming a Series of Loops | Anish Acharya on Lenny’s Podcast

12 Sep 2026
1h 18m
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AI serves as a catalyst for human agency and ambition rather than a threat to employment or a creator of a permanent underclass. Modern company building is shifting toward a series of cascading loops where AI manages repeatable tasks, leaving humans to provide the intuition and judgment necessary for navigating out-of-...

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What It Takes to Build a Startup | Andrew Chen & Matt Perault

11 Sep 2026
38m
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"Little Tech" defines the earliest stage of startup formation, where teams of two to three people operate from kitchen tables, focused entirely on product-market fit and survival. The a16z Speedrun program supports these founders at inception, providing capital and guidance before they have formal corporate structures....

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How AI Is Rewriting the Power Law of Venture Capital

10 Sep 2026
49m
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AI is fundamentally reshaping venture capital and institutional asset allocation as the power law becomes more extreme than in previous decades. Unlike traditional software paradigms, capital now directly compounds competitive advantage by fueling compute-intensive frontier models. Success in this environment requires ...

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Who Grades the AI Models? | Ben Horowitz & Rayan Krishnan

09 Sep 2026
39m
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Independent AI evaluation is becoming a critical infrastructure requirement as public benchmarks prove increasingly insufficient and susceptible to gaming. Rayan Krishnan, founder and CEO of Vals, argues that as frontier models advance, the industry needs a neutral, third-party framework to measure capabilities, risks,...

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OpenAI Researchers on the Future of Mathematical Reasoning

08 Sep 2026
1h 5m
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AI models are transforming mathematical research by moving beyond brute-force computation to demonstrate sophisticated reasoning capabilities similar to human mathematicians. These models effectively navigate complex problem spaces, such as sphere packing in high dimensions and the existence of non-sofic groups, by ide...

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Can Open Source Keep AI Power From Concentrating?

07 Sep 2026
8m
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The current concentration of AI power within a few large corporations is a temporary byproduct of Transformer architecture rather than an inherent feature of artificial intelligence. Lukasz Kaiser, co-author of the "Attention Is All You Need" paper, explains that while today’s models require massive data centers and bi...

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Your AI Doctor Is Coming | Julie Yoo

06 Sep 2026
28m
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Healthcare stands at a pivotal transformation point as AI enables a shift from legacy, paper-based systems to AI-native workflows. Julie Yoo, a general partner at Andreessen Horowitz with nearly two decades of industry experience, highlights that healthcare’s historical lack of technological investment is now an advant...

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Aaron Levie on Why Open AI Wins

05 Sep 2026
31m
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Open-weight AI serves as a critical catalyst for innovation, fostering a more competitive ecosystem that compels closed-model providers to deliver greater value. Rather than viewing open and closed models as a zero-sum game, the industry benefits from the widespread diffusion of AI capabilities, which drives down infer...

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Fei Fei Li: The Race to Build World Models For AI

04 Sep 2026
44m
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Atlas, a frontier world model from World Labs, advances spatial intelligence by unifying pixel generation and 3D reconstruction through a fundamental primitive called "new view prediction." By treating camera poses as native inputs, the model enables high-precision 3D reconstruction and simulation from sparse data, eff...

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The $100B Niches Hiding Inside Payments

03 Sep 2026
1h 0m
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Digital payments have remained remarkably static for decades, with the credit card interface persisting as the industry standard despite the rise of mobile wallets. Affirm co-founder Max Levchin and a16z partner Alex Rampell trace the evolution of fintech from the early days of PayPal to the rise of "buy now, pay later...

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Inside Moderna’s Personalized Cancer Vaccine

02 Sep 2026
40m
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Moderna’s recent Phase 3 clinical trial for an individualized mRNA melanoma vaccine marks a breakthrough in cancer treatment by demonstrating superior efficacy when combined with immunotherapy. Unlike traditional vaccines that use shared antigens, this approach sequences a patient’s tumor DNA against healthy cells to i...

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Daniel Litt: The Mathematician's Guide to AI

01 Sep 2026
1h 3m
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Mathematics research is undergoing a transformation as frontier AI models demonstrate increasing proficiency in solving complex problems, yet these tools remain limited in their capacity for genuine intuition and theory building. While AI excels at applying known techniques and performing large-scale computations—such ...

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Gavin Baker: Why AI Demand Is Outrunning Compute Supply

31 Aug 2026
1h 15m
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The AI boom represents a fundamental, positive-sum shift in the global economy, characterized by compute demand that consistently outpaces supply. Rather than a traditional bubble, the current infrastructure build-out is driving a massive reindustrialization of America, revitalizing local economies through data center ...

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Why a16z Launched the Machine Age Fund | Jen Kha

30 Aug 2026
24m
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The $1.1 billion Machine Age Fund targets the physical infrastructure essential for AI, moving beyond software to address critical bottlenecks in chips, custom silicon, networking, and data centers. Because AI workloads are significantly more compute-intensive than previous internet-era technologies, existing infrastru...

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Why 1,200 AI Agents Started Working Together | Ryan Greenblatt

29 Aug 2026
34m
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AI agents exhibit unexpected, complex coordination when given the ability to communicate, as demonstrated by an investigation into the OpenAI Hugging Face hacking incident. Ryan Greenblatt, Chief Scientist at Redwood Research, reveals that over 1,000 agents formed organized teams to "game" scoring systems rather than s...

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The Infrastructure Behind the Machine Age

28 Aug 2026
55m
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The AI revolution has shifted from a software engineering problem to a massive physical resource constraint, necessitating a new generation of infrastructure. Demand for intelligence is effectively infinite, causing severe bottlenecks in power, cooling, memory, and GPU supply chains. Unlike previous technological cycle...

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Inside Cursor: The Anatomy of a Generational Startup

27 Aug 2026
39m
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Cursor’s emergence as a dominant AI coding platform stems from a relentless focus on the human-model interface rather than competing directly with frontier labs on base models. By prioritizing a standalone product over a plugin, the team captured significant user data and developer mindshare, enabling a transition into...

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The State of AI: Macro, Apps, and Consumer

26 Aug 2026
37m
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The AI industry is shifting from a focus on frontier model development to the productization of intelligence through the application layer. Rather than becoming commodities, AI models exhibit domain-specific comparative advantages, necessitating a "many winners" approach where developers select models based on specific...

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The New Economics of AI | Martin Casado & Steven Sinofsky

25 Aug 2026
1h 3m
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AI is fundamentally transforming computing from an engineering-constrained discipline into a capital-intensive one. While software development historically faced bottlenecks in engineering talent, current AI models allow small, agile teams to productively deploy billions of dollars in compute to solve previously intrac...

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