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Andreessen Horowitz

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!

a16z Podcast

What if America tried to eliminate crime instead of just reacting to it? Not with slogans, but with staffing, technology, and strategy scaled to the problem. 

In this episode, Erik Torenberg speaks with Garrett Langley, founder and CEO of Flock Safety, and Ben Horowitz, cofounder of a16z, about what is happening in the cities that are trying. Flock now works with over 5,000 communities to detect crime, recover missing children, and close cases faster than ever. Ben has been closely involved in Las Vegas, where Flock technology, drones, and community policing have raised clearance rates while reducing use of force. 

They outline what a real national crime-reduction strategy could look like: solving the police staffing crisis, using intelligence to make policing safer, understanding why clearance rates have collapsed, and how public–private partnerships are filling gaps cities cannot. They also tackle the hard questions around privacy, criminal justice failures, and the hidden role of organized crime in everyday offenses. 

Timecodes: 

0:00 — Introduction and the Cost of Crime

1:09 — Technology, Privacy, and Trust in Policing

1:22 — Eliminating Crime: A National Strategy

2:54 — People: Staffing, Culture, and Recruitment

8:45 — Products: Technology in Modern Policing

9:41 — Policy: Accountability and Prosecution

20:11 — Community Policing and Clearance Rates

25:16 — Case Study: Las Vegas and Public-Private Partnerships

32:00 — Criticisms, Privacy, and Trust

35:23 — Economic Mobility, Safety, and Social Impact

36:44 — Reform, Recidivism, and Alternative Approaches

52:14 — Organized Crime and Policy Challenges

54:32 — The Future of Policing: Intelligence and Precision

57:24 — Success Stories and Conclusion

Resources: 

Follow Garrett on X: https://twitter.com/glangley 

Follow Ben on X: https://twitter.com/bhorowitz 

Stay Updated: 

If you enjoyed this episode, be sure to like, subscribe, and share with your friends! 

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

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Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX 

Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 

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.

Stay Updated:

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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.

 
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The Crime Crisis In America and How Technology Fixes It

Ryo Lu spent years watching his designs die in meetings. Then he discovered the tool that lets designers ship code at the speed of thought: Cursor, the company where Ryo is now Head of Design. In this episode, a16z General Partner Jennifer Li sits down with Ryo to discuss why "taste" is the wrong framework for understanding the future, why purposeful apps are "selfish," how System 7 holds secrets about AI interfaces, and the radical bet that one codebase can serve everyone if you design the concepts right instead of the buttons.

 

Timecodes:

00:01:45 - Design Becomes Approachable to Everyone

00:02:36 - From Years to Minutes: Product Feedback Loops Collapse

00:07:54 - "Each role used their own tool...their own lingo"

00:13:15 - "If you don't have an opinion, you’ll get AI slop"

00:17:18 - The Lost Art of Being a Complete Builder

00:21:42 - Design Is Not About Aesthetics

00:28:57 - User-Centric vs System-Centric Philosophy

00:34:00 - AI as Universal Interface, Not Chat Box

00:38:42 - "Simplicity is the Biggest Constraint"

00:43:42 - "I Don't Sit in Figma All Day Making Mocks"

00:46:33 - RyoOS: Building A Personal Operating System

00:48:45 - "We've been doing the same thing since 1984"

 

Resources:

Follow Ryo Lu on X: https://x.com/ryolu_

Follow Jennifer Li on X: https://x.com/JenniferHli

Follow Erik Torenberg on X: https://x.com/eriktorenberg

 

Stay Updated:

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Find a16z on X: https://x.com/a16z

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Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711

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.

Stay Updated:

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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.

 
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Ryo Lu (Cursor): AI Turns Designers to Developers

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practice

In this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.

Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like.

 

Resources:

Transcript: https://www.dwarkesh.com/p/ilya-sutsk...

Apple Podcasts: https://podcasts.apple.com/us/podcast...

Spotify: https://open.spotify.com/episode/7naO...

 

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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](http://a16z.com/disclosures.

 

Stay Updated:

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Follow our host: https://twitter.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.

 
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Dwarkesh and Ilya Sutskever on What Comes After Scaling

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important about where we actually are.

In this episode, technology analyst and former a16z partner Benedict Evans joins General Partner Erik Torenberg to break down what is real, what is hype, and how much history can guide us. They explore bottlenecks in compute, the surprising products that still do not exist, and how companies like Google, Meta, Apple, Amazon, and OpenAI are positioning themselves.

Finally, they look ahead at what would need to happen for AI to one day be considered even more transformative than the internet.

Timestamps: 

0:00 – Introduction 
0:17 – Defining AI and Platform Shifts
1:50 – Patterns in Technology Adoption
6:04 – AI: Hype, Bubbles, and Uncertainty
13:25 – Winners, Losers, and Industry Impact
19:00 – AI Adoption: Use Cases and Bottlenecks
24:00 – Comparisons to Past Tech Waves
32:00 – The Role of Products and Workflows
40:00 – Consumer vs. Enterprise AI
46:00 – Competitive Landscape: Tech Giants & Startups
51:00 – Open Questions & The Future of AI

Resources:

Follow Benedict on LinkedIn: https://www.linkedin.com/in/benedictevans/

 

Stay Updated:

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Find a16z on X: https://x.com/a16z

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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 http://a16z.com/disclosures.

Stay Updated:

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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.

 
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AI Eats the World: Benedict Evans on the Next Platform Shift

This episode is a special replay of David George’s conversation with Harry Stebbings on 20VC. David is a General Partner on a16z’s growth team, and in this discussion he breaks down how he thinks about breakout growth investing: why great business models are now table stakes, where real edge comes from non-consensus views on TAM, and how to underwrite upside in a world of higher prices and increasing competition.

They also dig into the mechanics behind the scenes: unit economics at growth, “pull vs push” products, winner-take-most market structures, and how David decides when to double or triple down on a company. Along the way, they touch on SPACs, the rise of crossover funds, single-trigger decision making, and how David manages fear, pressure, and performance over the long arc of an investing career.

 

Resources:

Learn more about 20VC: https://www.thetwentyminutevc.com/

Watch on YouTube: https://www.youtube.com/@20VC

Follow Harry on X: https://x.com/HarryStebbings

Follow David on X: https://x.com/DavidGeorge83

 

Stay Updated:

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Find a16z on X: https://x.com/a16z

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Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX

Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711

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](http://a16z.com/disclosures.

 

Stay Updated:

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Follow our host: https://twitter.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.

 
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The Inside Story of Growth Investing at a16z

Jonathan Swanson has built two rare successes: Thumbtack, the home-services marketplace, and Athena, the fast-growing platform that pairs ambitious people with world-class personal assistants. Today he runs a 4,000-person company, invests on the side, and raises four kids — all by designing his life around leverage.

a16z General Partner, Erik Torenberg, sits down with Jonathan to unpack what that actually looks like. They discuss how elite assistant culture shaped his philosophy, why delegation is a skill most founders never truly learn, and how the combination of humans and AI is redefining personal productivity. Jonathan explains why he believes ambition grows with leverage, not the other way around, and breaks down how he delegates everything from scheduling to search processes to entire life systems.

They also get into the future of work, the rise of machine-generated delegation, the expanding role of chiefs of staff, and how founders can design their time around the few things that matter most. It’s a conversation about work, life, and the systems that allow people to operate at scale.

Timecodes

0:00 – Introduction

1:52 – The power of delegation: from the White House to Thumbtack

03:13 – Human vs. AI assistants: the future of delegation

05:30 – Levels of delegation: from tasks to algorithms

07:31 – Principles of effective delegation

08:50 – Delegation & productivity hacks

10:46 – The future: machine-generated delegation

12:36 – Global talent & leveraging international teams

13:33 – Assistants and financial leverage

14:45 – Company culture across borders

16:18 – Assistants as accountability partners

17:52 – Coaching, feedback, and the human element

19:30 – Goal setting, time management, and prioritization

23:07 – Frameworks for founders: time, energy, and meetings

26:06 – The efficient path vs. the effect path

28:19 – Executive hiring: principles and pitfalls

30:19 – Reference check signals 

33:09 – Principles for company transparency

36:55 – Cofounder relationships & company building

39:19 – Chief of staff vs. executive assistant

40:06 – Learning from high-performers: Lonsdale, Elon, Thiel, etc.

47:10 – Building your universe: org structures and talent networks

52:33 – Managing founder psychology & staying in the game

Resources:

Follow Jonathan on X: https://x.com/swaaanson

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

 

Stay Updated:

If you enjoyed this episode, be sure to like, subscribe, and share with your friends!

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

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Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX

Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711

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 http://a16z.com/disclosures

.

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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.

 
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How the Best CEOs Delegate

Originally published on the a16z Infra podcast. We're resurfacing it here for our main feed audience.

AI coding is already actively changing how software gets built.

a16z Infra Partners Yoko Li and Guido Appenzeller break down how "agents with environments" are changing the dev loop; why repos and PRs may need new abstractions; and where ROI is showing up first. We also cover token economics for engineering teams, the emerging agent toolbox, and founder opportunities when you treat agents as users, not just tools.

 

Resources:

Follow Yoko on X: https://x.com/stuffyokodraws

Follow Guido on X: https://x.com/appenz

 

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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 http://a16z.com/disclosures

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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.

 
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The $3 Trillion AI Coding Opportunity

Naveen Rao is cofounder and CEO of Unconventional AI, an AI chip startup building analog computing systems designed specifically for intelligence. Previously, Naveen led AI at Databricks and founded two successful companies: Mosaic (cloud computing) and Nervana (AI accelerators, acquired by Intel). 

In this episode, a16z’s Matt Bornstein sits down with Naveen at NeurIPS to discuss why 80 years of digital computing may be the wrong substrate for AI, how the brain runs on 20 watts while data centers consume 4% of the US energy grid, the physics of causality and what it might mean for AGI, and why now is the moment to take this unconventional bet.

 

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Follow Naveen on X: https://x.com/NaveenGRao

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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 http://a16z.com/disclosures.

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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.

 
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The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch

Fei-Fei Li is a Stanford professor, co-director of Stanford Institute for Human-Centered Artificial Intelligence, and co-founder of World Labs. She created ImageNet, the dataset that sparked the deep learning revolution. 

Justin Johnson is her former PhD student, ex-professor at Michigan, ex-Meta researcher, and now co-founder of World Labs.

Together, they just launched Marble—the first model that generates explorable 3D worlds from text or images.

In this episode Fei-Fei and Justin explore why spatial intelligence is fundamentally different from language, what's missing from current world models (hint: physics), and the architectural insight that transformers are actually set models, not sequence models.

 

Resources:

Follow Fei-Fei on X: https://x.com/drfeifei

Follow Justin on X: https://x.com/jcjohnss

Follow Shawn on X: https://x.com/swyx

Follow Alessio on X: https://x.com/fanahova

 

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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 http://a16z.com/disclosures.

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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.

 
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What Comes After ChatGPT? The Mother of ImageNet Predicts The Future

Recently, a16z General Partner Anish Acharya joined Ollie Forsyth on NEW ECONOMIES. They talked about why consumer tech is surging again, how AI is enabling 100M-user products at unprecedented speed, and what founders need to understand heading into 2026 — from distribution shifts to founder mindset to the mechanics behind the fastest product cycle in tech history.

 

Resources:

Follow Ollie: https://x.com/ollieforsyth
Follow Anish: https://x.com/illscience

 

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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 http://a16z.com/disclosures.

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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.

 
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How AI Created the Fastest Product Cycle in History

In this episode of a16z bio Journal Club, general partner Vijay Pande, bio deal team partner Andy Tran, and bio editor Lauren Richardson discuss a novel CRISPR-Cas-based anti-viral strategy.

The discussion covers the differences between this newly developed prophylactic strategy, traditional vaccines, and anti-viral drugs; how this strategy can be engineered to target a huge range of coronavirus and influenza strains; and the next steps needed to go from paper to practice:

 • “
Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenza • ” in 
Cell • (April 2020), by Timothy Abbott, Girija Dhamdhere, Yanxia Liu, Xueqiu Lin, Laine Goudy, Leiping Zeng, Augustine Chemparathy, Stephen Chmura, Nicholas Heaton, Robert Debs, Tara Pande, Drew Endy, Marie La Russa, David Lewis, and Lei Qi

a16z Journal Club (part of the a16z Podcast), curates and covers recent advances from the scientific literature -- what papers we’re reading, and why they matter from our perspective at the intersection of biology & technology (for bio journal club). You can find all these episodes at a16z.com/journalclub.

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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.

 
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Journal Club: Using CRISPR to Prevent Coronavirus and Influenza Infection

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