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Andreessen Horowitz

The a16z Podcast 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 podcast 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!

a16z Podcast

Genie 3 can generate fully interactive, persistent worlds from just text, in real time.

In this episode, Google DeepMind’s Jack Parker-Holder (Research Scientist) and Shlomi Fruchter (Research Director) join Anjney Midha, Marco Mascorro, and Justine Moore of a16z, with host Erik Torenberg, to discuss how they built it, the breakthrough “special memory” feature, and the future of AI-powered gaming, robotics, and world models.

They share:

 • How Genie 3 generates interactive environments in real time
 • Why its “special memory” feature is such a breakthrough
 • The evolution of generative models and emergent behaviors
 • Instruction following, text adherence, and model comparisons
 • Potential applications in gaming, robotics, simulation, and more
 • What’s next: Genie 4, Genie 5, and the future of world models

 • 

This conversation offers a first-hand look at one of the most advanced world models ever created.

 

Timecodes: 

0:00 Introduction & The Magic of Genie 3

0:41 Real-Time World Generation Breakthroughs

1:22 The Team’s Journey: From Genie 1 to Genie 3

5:03 Interactive Applications & Use Cases

8:03 Special Memory and World Consistency

12:29 Emergent Behaviors and Model Surprises

18:37 Instruction Following and Text Adherence

19:53 Comparing Genie 3 and Other Models

21:25 The Future of World Models & Modality Convergence

27:35 Downstream Applications and Open Questions

31:42 Robotics, Simulation, and Real-World Impact

39:33 Closing Thoughts & Philosophical Reflections

 

Resources:

Find Shlomi on X: https://x.com/shlomifruchter

Find Jack on X: https://x.com/jparkerholder

Find Anjney on X: https://x.com/anjneymidha

Find Justine on X: https://x.com/venturetwins

Find Marco on X: https://x.com/Mascobot

 

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

a16z General Partners Martin Casado and Anjney Midha join Erik Torenberg to unpack one of the most dramatic shifts in tech policy in recent memory: the move from “pause AI” to “win the AI race.”

They trace the evolution of U.S. AI policy—from executive orders that chilled innovation, to the recent AI Action Plan that puts scientific progress and open source at the center. The discussion covers how technologists were caught off guard, why open source was wrongly equated to nuclear risk, and what changed the narrative—including China's rapid progress.

The conversation also explores:

 • How and why the AI discourse got captured by doomerism
 • What “marginal risk” really means—and why it matters
 • Why open source AI is not just ideology, but business strategy
 • How government, academia, and industry are realigning after a fractured few years
 • The effect of bad legislation—and what comes next

Whether you're a founder, policymaker, or just trying to make sense of AI's regulatory future, this episode breaks it all down.

Timecodes:

0:00 Introduction & Setting the Stage

0:39 The Shift in AI Regulation Discourse

2:10 Historical Context: Tech Waves & Policy

6:39 The Open Source Debate

13:39 The Chilling Effect & Global Competition

15:00 Changing Sentiments on Open Source

21:06 Open Source as Business Strategy

28:50 The AI Action Plan: Reflections & Critique

32:45 Alignment, Marginal Risk, and Policy

41:30 The Future of AI Regulation & Closing Thoughts

Resources

Find Martin on X: https://x.com/martin_casado

Find Anjney on X: https://x.com/anjneymidha

Stay Updated:

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

The State of American AI Policy: From ‘Pause AI’ to ‘Build’

We’re sharing an episode from ChinaTalk that dives into one of the biggest recent reversals in U.S. tech policy.

The U.S. banned Nvidia’s H20 AI chips to China in April. Now, just months later, they’re being sold—with a 15% export fee. What happened? Why the reversal? And what does it mean for the future of AI competition between the U.S. and China?

Chris Miller—author of Chip War—and Lennart Heim from RAND join ChinaTalk host Jordan Schneider to unpack the policy flip-flop, why China is publicly downplaying interest in the H20, and why high-bandwidth memory and semiconductor manufacturing tools may be even more important than the Nvidia chips themselves.

Resources:

Listen to more from ChinaTalk: https://link.chtbl.com/chinatalk

Check out the Horizon Fellowship to work in DC on emerging tech policy issues like AI chip export controls: https://horizonpublicservice.org/applications-open-for-2026-horizon-fellowship-cohort/

Outro Music: It's a Shame, The Spinners, 1970

H20s to China + 15% with Chris Miller and Lennart Heim

a16z partners Olivia and Justine Moore unpack the latest in consumer AI including: 

- Grok’s “Imagine” and its instant, social-first creative tools

- Google’s Genie 3 and the future of 3D worlds

- GPT-5: what’s new, what’s missing, and why some want their old chatbot back

- AI-generated music from ElevenLabs

- Olivia’s vibecoded Jensen Huang selfie app

 

Timecodes: 

0:00 Introduction & This Week's Topics

0:24 Grok Imagine: Social AI Image & Video Generation

4:48 GPT-5 Release & GPT-4 Deprecation

5:36 Comparing GPT-5 and GPT-4: Coding vs. Personality

9:13 AI for Mental Health: Illinois Law & Industry Impact

12:29 Genie 3: Interactive World Models from Google

16:53 ElevenLabs Music Model: Licensed AI Music Generation

19:16 Vibecoding: Consumer Experiments & Platform Evolution

24:14 The Future of Vibecoding & AI Tools

27:05 Conclusions 

 

Resources:

Find Olivia on X: https://x.com/omooretweets

Find Justine on X: https://x.com/venturetwins

Read Anish and Justine’s vibecoding post: https://a16z.com/specialized-app-gen-platforms/

 

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Grok, Genie 3, GPT-5 & the Rise of Vibe Coding

Fresh off the announcement of his move from Shopify to a16z, Alex Danco joins TBPN to talk about the “trade deal” that brought him here and his mission to make the firm’s written content truly world class.

He discusses why he believes writing still matters in the age of AI, how great prose can act as “power transfer technology” for founders, and why he’s betting on the overlooked art of speechwriting. Alex also reflects on his years as a founder, investor, and longtime blogger, and shares the formats he’s most excited to explore, from deal memos to launch speeches.

 

Timecodes: 

0:00 Joining a16z

0:41 The Power of Writing & Speechwriting

2:45 Reflections on Blogging & Communication

5:10 Writing as Power Transfer Technology

6:46 Formats & Content at a16z

8:09 The Underrated Art of Speechwriting

11:21 The Evolution of Blogging & Audience

12:23 Looking Forward: Brand & Legacy

 

Resources:

Find Alex on X: https://x.com/Alex_Danco

Watch TBPN: https://www.tbpn.com/

Follow TBPN on X: https://x.com/tbpn

 

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Alex Danco on Speechwriting, Blogging, and Giving Founders Power

There’s been a wave of M&A deals lately - Meta and Scale, Windsurf and Google - and a lot of it points to something bigger: how regulation, capital, and innovation are colliding in 2025.

In this episode Erik Torenberg brings together Steven Sinofsky, former Microsoft Executive and Balaji Srinivasan, founder of the Network School, and author of the Network State to break it all down. 

From acquihires to “acquifires,” from FTC crackdowns to the deeper battle between the state and the network, this is a sharp conversation on the future of tech and power.

 

Resources

Find Balaji on X: https://x.com/balajis

Find Steven on X: https://x.com/stevesi

Learn more about The Network State: https://thenetworkstate.com

Learn more about The Network School: https://ns.com

 

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Steven Sinofsky & Balaji Srinivasan on the Future of AI, Tech, & the Global World Order

In this episode, Marc Andreessen joins TBPN for an unfiltered conversation spanning everything from ads in LLMs to why Apple’s AI strategy may be risky for anyone not named Apple.

Marc breaks down the current state of AI: why open source is resurging, how foundational research is (or isn’t) turning into product, and whether we’ve hit the moment when phones start to fade as dominant platforms. He also shares his candid thoughts on Meta’s wearable wins, Vision Pro’s imperfections, and how humor and deep research are his two favorite use cases for AI today.

Timecodes:

0:00 Intro 

2:41 The Pace of AI and Technology Cycles 

4:03 Research vs. Productization in AI Companies 

5:15 Apple’s Strategy: Last Mover Advantage 

7:09 The Future Beyond Smartphones 

10:23 Open Source AI: Progress and Challenges 

13:49 Ads in AI: Business Models and User Experience 

15:52 Legal Frameworks for AI and Data 

17:53 Lightning Round: How Mark Uses AI 

19:01 Breaking into Venture Capital in 2025 

20:34 M&A, Survivorship Bias, and Company Resilience 

Resources

Watch TBPN: https://www.tbpn.com/

Marc on X: https://x.com/pmarca

Marc’s Substack: https://pmarca.substack.com/

Marc Andreessen: Why Perfect Products Become Obsolete

ChatGPT-5 just launched, marking a major milestone for OpenAI and the entire AI ecosystem.

Fresh off the live stream, Erik Torenberg was joined in the studio by three people who played key roles in making this model a reality:

 • Christina Kim, Researcher at OpenAI, who leads the core models team on post-training
 • Isa Fulford, Researcher at OpenAI, who leads deep research and the ChatGPT agent team on post-training
 • Sarah Wang, General Partner at a16z, who helped lead our investment in OpenAI since 2021

They discuss what’s actually new in ChatGPT-5—from major leaps in reasoning, coding, and creative writing to meaningful improvements in trustworthiness, behavior, and post-training techniques.

We also discuss:

 • How GPT-5 was trained, including RL environments and why data quality matters more than ever
 • The shift toward agentic workflows—what “agents” really are, why async matters, and how it’s empowering a new golden age of the “ideas guy”
 • What GPT-5 means for builders, startups, and the broader AI ecosystem going forward

Whether you're an AI researcher, founder, or curious user, this is the deep-dive conversation you won't want to miss.

Timecodes:

0:00 ChatGPT Origins

1:57 Model Capabilities & Coding Improvements

4:00 Model Behaviors & Sycophancy

6:15 Usage, Pricing & Startup Opportunities

8:03 Broader Impact & AGI Discourse

16:56 Creative Writing & Model Progress

32:37 Training, Data & Reflections

36:21 Company Growth & Culture

41:39 Closing Thoughts & Mission

Resources

Find Christina on X: https://x.com/christinahkim

Find Isa on X: https://x.com/isafulf

Find Sarah on X: https://x.com/sarahdingwang

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures

GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim

What happens when a startup becomes a giant—and then has to reinvent itself all over again?

In this episode, Martin Casado sits down with Raghu Raghuram (former CEO of VMware) and Jeetu Patel (President and CPO at Cisco) for a deep, tactical conversation on scaling, disruption, and navigating transformation from the inside. They share hard-won lessons from leading two of the most iconic infrastructure companies in tech—through waves like virtualization, cloud, containers, and now AI.

They cover:

 • How to keep innovation alive inside large companies
 • Why the best companies operate with a founder’s mindset, even without founders
 • The difference between selling to buyers vs. practitioners
 • Why the story is the strategy, and how to tell it at scale
 • How Cisco is rebuilding its startup DNA in the age of AI

If you're building or leading through a major tech wave, this episode is a playbook.

 

Timecodes:

0:00 Introduction 

2:02 Weapons of Mass Disruption: Abstractions, Business Models, and Cloud 

5:57 Cisco’s Missed Cloud Wave & Resetting for Innovation 

6:39 Operating Like a Startup: Speed, Scale, and Leadership 

10:00 Go-to-Market Challenges: Fencing Off Innovation 

11:04 Organic vs. Inorganic Growth: Lessons from VMware 

12:04 The 10x Rule and Competing with Incumbents 

14:39 Structuring for Disruption: Two-Pizza Teams and Ideal Customer Profiles 

18:43 Storytelling as Strategy: Galvanizing Large Organizations 

19:42 The AI Wave: Consumerization and Infrastructure Demands 

25:34 Founders vs. Operators: Leading Transformations 

31:47 Product-Led Organizations: From Sales to Product Focus 

34:35 The Future of Infrastructure: AI, Market Size, and Vertical Integration 

39:34 Timing, Market, Team, Product, Brand, and Scale 

41:19 Authenticity, Opportunity, and Final Thoughts 

 

Resources:

Find Martin on X: https://x.com/martin_casado

Find Raghu on X: https://x.com/raghuraghuram

Find Jeetu on X: https://x.com/jpatel41

 

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

How to Build a Successful Company in an Era of Disruption

In this episode, Erik Torenberg is joined in the studio by Dwarkesh Patel and Noah Smith to explore one of the biggest questions in tech: what exactly is artificial general intelligence (AGI), and how close are we to achieving it?

They break down:

 • Competing definitions of AGI — economic vs. cognitive vs. “godlike”
 • Why reasoning alone isn’t enough — and what capabilities models still lack
 • The debate over substitution vs. complementarity between AI and human labor
 • What an AI-saturated economy might look like — from growth projections to UBI, sovereign wealth funds, and galaxy-colonizing robots
 • How AGI could reshape global power, geopolitics, and the future of work

Along the way, they tackle failed predictions, surprising AI limitations, and the philosophical and economic consequences of building machines that think, and perhaps one day, act, like us.

 

Timecodes: 

0:00 Intro

0:33 Defining AGI and General Intelligence

2:38 Human and AI Capabilities Compared

7:00 AI Replacing Jobs and Shifting Employment

15:00 Economic Growth Trajectories After AGI

17:15 Consumer Demand in an AI-Driven Economy

31:00 Redistribution, UBI, and the Future of Income

31:58 Human Roles and the Evolving Meaning of Work

41:21 Technology, Society, and the Human Future

45:43 AGI Timelines and Forecasting Horizons

54:04 The Challenge of Predicting AI's Path

57:37 Nationalization, Geopolitics, and the Global AI Race

1:07:10 Brand and Network Effects in AI Dominance

1:09:31 Final Thoughts 

 

Resources: 

Find Dwarkesh on X: https://x.com/dwarkesh_sp

Find Dwarkesh on YT: https://www.youtube.com/c/DwarkeshPatel

Subscribe to Dwarkesh’s Substack: https://www.dwarkesh.com/

Find Noah on X: https://x.com/noahpinion

Subscribe to Noah’s Substack: https://www.noahpinion.blog/

 

Stay Updated: 

Let us know what you think: https://ratethispodcast.com/a16z

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://x.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Dwarkesh and Noah Smith on AGI and the Economy

Jim Barksdale in the run-up to the Netscape IPO told potential investors that you can make money in software in two ways: bundling and unbundling. Benedict Evans and Steven Sinofsky revisit that thesis in the context of a mobile app world -- how Facebook for example, is unbundling itself, while at the same time Baidu is bundling everything together as fast as it can. How and why Barksdale's thesis is very much alive and well in the mobile world. All that, and the proper use of "fissiparousness" in a sentence.

a16z Podcast: The Topic That's Lasted the Entire History of Computing -- Bundling and Unbundling

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