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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

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

What really caused the breakdown between tech and media—and what comes next?

Erik Torenberg sits down with Balaji Srinivasan (entrepreneur, investor, and author of The Network State) to explore the long-building conflict between Silicon Valley and legacy journalism. Balaji explains how the collapse of traditional media business models gave rise to political capture, clickbait, and adversarial coverage of the tech industry.

They discuss why “going direct” is no longer optional, how tech became the villain in establishment narratives, and what it would take to build a new truth infrastructure - from decentralized content creation to cryptographic verification.

This episode covers power, distribution, and the future of media, with a signature mix of historical insight, social analysis, and Balaji’s forward-looking frameworks.

Timecodes: 

0:00 Introduction 

1:26 The Media vs. Tech Conflict

2:11 The Collapse of Journalism Revenue

2:39 Rise of Wokeness and Political Realignment

6:50 State vs. Network: A New Framework

9:00 The Power Structure of Media Institutions

19:25 The Role of Distribution and the Internet

29:20 The Social War: Red vs. Blue America

30:05 X Day and the Shift in Social Media Power

42:56 Strategies for Technologists: Go Direct

48:36 The Importance of Individual Creators

1:10:00 Decentralized Truth and the Ledger of Record

1:36:00 The Future of Media, Democracy, and Equality

1:37:08 Conclusion & Final Thoughts

Resources

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

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.

Balaji on How Tech Truly Wins Media

What happens when AI starts generating content for everyone—and no one wants to watch it?

In this episode, MSNBC’s Chris Hayes and ad tech veteran Antonio García Martínez join a16z General Partner, Erik Torenberg to unpack the shifting economics of attention: from the rise of “AI slop” and spammy feeds to the difference between what we want to pay attention to and what platforms push on us.

They explore:

 • How AI changes what gets created and what gets seen
 • Why internet ads still mostly suck
 • The return of group chats—and the slow death of mass culture

Based on Chris’s new book The Sirens Call, this is a candid look at what AI might amplify or break in our online lives.

 

Timecodes:

0:00 Introduction 

1:47 Meet the Guests: Chris Hayes & Antonio Garcia Martinez

3:01 The Economics of Attention & AI Slop

6:38 Acquisition vs. Retention: The Attention Challenge

10:01 Fame, Identity, and Social Media Fragmentation

13:21 The Group Chat Solution & Privacy

16:01 Business Models, Community, and Technology

19:01 Mass Culture, Fragmentation, and the Algorithm

23:01 Ad Tech, Personalization, and Advertising Effectiveness

29:01 The Future: AI, Growth, and Abundance

 

Resources: 

Find Chris on X: https://x.com/chrislhayes

Find Antonio on X: https://x.com/antoniogm

Learn more about Chris’ book ‘The Sirens' Call’: https://sirenscallbook.com/

Learn more about Antonio’s book ‘Chaos Monkeys’: https://www.harpercollins.com/products/chaos-monkeys-antonio-garcia-martinez?variant=32207601532962

 

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.

AI Content and the War for Your Attention

a16z General Partners Erik Torenberg and Martin Casado sit down with technologist and investor Balaji Srinivasan to explore how the metaphors we use to describe AI—whether as god, swarm, tool, or oracle—reveal as much about us as they do about the technology itself.

Balaji, best known for his work in crypto and network states, also brings a deep background in machine learning. Together, the trio unpacks the evolution of AI discourse, from monotheistic visions of a singular AGI to polytheistic interpretations shaped by culture and context. They debate the practical and philosophical: the current limits of AI, why prompts function like high-dimensional programs, and what it really takes to “close the loop” in AI reasoning.

This is a systems-level conversation on belief, control, infrastructure, and the architectures that might govern future societies.

 

Timecodes:

0:00 Introduction: The Polytheistic AGI Framework

1:46 Personal Journeys in AI and Crypto

3:18 Monotheistic vs. Polytheistic AGI: Competing Paradigms

8:20 The Limits of AI: Chaos, Turbulence, and Predictability

9:29 Platonic Ideals and Real-World Systems

14:10 Decentralized AI and the End of Fast Takeoff

14:34 Surprises in AI Progress: Language, Locomotion, and Double Descent

25:45 Prompting, Verification, and the Age of the Phrase

29:44 AI, Crypto, and the Grounding Problem

34:26 Visual vs. Verbal: Where AI Excels and Struggles

37:19 The Challenge of Markets, Politics, and Adversarial Systems

40:11 Amplified Intelligence: AI as a Force Multiplier

43:37 The Polytheistic Counterargument: Convergence and Specialization

48:17 AI’s Impact on Jobs: Specialists, Generalists, and the Future of Work

57:36 Security, Drones, and Digital Borders

1:03:41 AI, Power, and the Balance of Control

1:06:33 The Coming Anti-AI Backlash

1:09:10 Global Implications: Labor, Politics, and the Future

 

Resources:

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

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

 

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.

Balaji Srinivasan: How AI Will Change Politics, War, and Money

On this episode of The Ben & Marc Show, a16z co-founders Marc Andreessen and Ben Horowitz sit down with Erik Torenberg— General Partner at a16z and founder of the media company Turpentine—to unpack how the internet shattered the old media order and reshaped the way power works in America.

What begins as a look at the evolution of media quickly becomes something bigger: a conversation about truth, trust, and the collapse of institutional authority. They explore how social media became both an x-ray and an engine, why authenticity now beats polish, and how the rules of politics, and journalism, have permanently changed.

Together, they break down:

-Why 2017 marked a structural break between tech and the press

-Trump’s real training ground

-The tension between objectivity, activism, and “speaking truth to power”

-Why podcasters. not pundits, are setting the agenda

- How the barbell strategy is reshaping media: short-form virality meets long-form depth

With stops at Watergate, the rise of Rogan, the fall of legacy gatekeepers, and the media playbooks behind Obama, Trump, and the Kardashians—this episode explores how we got here, what’s next, and what it means for founders, voters, and anyone trying to build (or tell) a story.

 

Timecodes: 

0:00 Introduction

0:55 The Evolution of Media: From Centralization to Fragmentation

2:34 The Internet’s Impact on Traditional Media

4:06 Unionization and Technological Change in Media

6:39 Oversupply and Competition in News Organizations

8:44 The Changing Role and Ideology of Journalism

11:46 Speak Truth to Power: Conflicts in Journalism

13:39 The 2016 Election and the Collapse of Media Trust

23:20 Martin Gurri and the Crisis of Authority

31:34 Decentralization: From the 1970s to Social Media

48:06 Trump, Reality TV, and the New Media Playbook

59:10 Drama, Authenticity, and the Barbell Effect in Media

1:16:40 Podcasts, Direct Communication, and the Future of Authority

1:34:48 Advice for Founders and the Importance of Personal Branding

1:37:35 Conclusion & Final Thoughts

 

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.

Ben and Marc on New Media: Podcasts, Politics & the Collapse of Trust

It can take more than 15 years to permit and build a new mine in the United States - yet nearly every modern technology we rely on, from smartphones to fighter jets to AI data centers, depends on a steady supply of critical minerals.

In this episode, Erik Torenberg is joined in the studio by Turner Caldwell, founder of Mariana Minerals, along with American Dynamism general partner Erin Price-Wright and partner Ryan McEntush.

Turner spent nearly a decade at Tesla, working his way upstream from factory design to battery materials and mining. Now, he’s building a new kind of mining and refining company - vertically integrated and software-first- designed to meet the demands of our industrial future.

We get into why the industry is so broken, what it actually takes to turn rocks into usable materials, and how the U.S. can rebuild its capacity to mine, refine, and manufacture the things that matter most.

 

Timecodes: 

00:00 Introduction to Critical Minerals

00:45 The Importance of Mining in Modern Technology

00:58 Meet Turner Caldwell and Marianna Minerals

03:02 The Mining and Refining Process

05:10 Challenges in the Mining Industry

07:11 Turner's Journey from Tesla to Marianna

15:31 The Role of AI and ML in Mining

22:00 Geopolitical and Talent Pool Dynamics

23:46 Challenges in Junior Mining Exploration

25:30 Mariana's Product and Approach

25:47 Leveraging Technology in Mining and Construction

28:29 Optimizing Refining Processes with AI

37:31 The Importance of Critical Minerals

41:18 Permitting and Regulatory Challenges

46:08 Future Strategies and International Expansion

46:53 Conclusion and Future Outlook

 

Resources: 

Find Turner on X :https://x.com/tbc415

Find Erin on X: https://x.com/espricewright

Find Ryan on X: https://x.com/rmcentush

 

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.

Critical Minerals: Mining for the Industrial Future

Is AI the Fourth Pillar of Infrastructure?

Infrastructure doesn’t go away — it layers. And today, AI is emerging as a new foundational layer alongside compute, storage, and networking.

Erik Torenberg interviews a16z’s Martin Casado, Jennifer Li, and Matt Bornstein breaking down how infrastructure is evolving in the age of AI — from models and agents to developer tools and shifting user behavior.

We dive into what infra actually means today, how it differs from enterprise, and why software itself is being disrupted. Plus, we explore the rise of technical users as buyers, what makes infra companies defensible, and how past waves — from the cloud to COVID to AI — are reshaping how we build and invest.

 

Timestamps: 

(00:00) Introduction 

(01:49) Defining Infrastructure in the AI Era

(03:15) The Fourth Pillar: AI's Role in Infrastructure

(06:01) Historical Context and Evolution of Infrastructure

(08:20) The Impact of AI on Software Development

(10:18) Investment Strategies and Market Dynamics

(17:02) Developer Tools and AI Integration

(20:57) Defensibility in the AI Landscape

(22:16) Founders' Intuition and Industry Progress

(22:26) Defensibility in AI Infrastructure

(24:00) Expansion and Contraction Phases in the Industry

(24:35) The Role of Layers in Market Consolidation

(27:43) The Future of AI Models and Specialization

(29:27) The Decade of AI Agents

(29:54) Context Engineering and New Infrastructure

(34:23) The Evolution of Software Development

(42:13) Horizontal vs. Vertical Integration in AI

(43:54) Conclusion and Final Thoughts

 

Resources: 

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

Find Jennifer on X: https://x.com/JenniferHli

Find Matt on X: https://x.com/BornsteinMatt

 

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 Future of Software Development - Vibe Coding, Prompt Engineering & AI Assistants

The announcement by Apple of its new programming language Swift is prompting developers to consider yet again how to tailor their efforts in the battle between iOS and Android. Benedict Evans and Steven Sinofsky discuss the questionable history of cross-platform software, and strategies for startups building apps today. How developers can build great apps on both of the largest mobile platforms. This platform question is one Sinofsky has been grappling with for a very long time, and which he also details in this post: http://blog.learningbyshipping.com/2013/07/08/juggling-multiple-platforms-and-the-bumpy-road-ahead/

a16z Podcast: The Promise (and Nightmare) of Cross-Platform Software

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