Inferact is a new AI infrastructure company founded by the creators and core maintainers of vLLM. Its mission is to build a universal, open-source inference layer that makes large AI models faster, cheaper, and more reliable to run across any hardware, model architecture, or deployment environment. Together, they broke down how modern AI models are actually run in production, why ?inference? has quietly become one of the hardest problems in AI infrastructure, and how the open-source project vLLM emerged to solve it. The conversation also looked at why the vLLM team started Inferact and their vision for a universal inference layer that can run any model, on any chip, efficiently.

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In this feed drop from The Six Five Pod, a16z General Partner Martin Casado discusses how AI is changing infrastructure, software, and enterprise purchasing. He explains why current constraints are driven less by technical limits and more by regulation, particularly around power, data centers, and compute expansion.

The episode also covers how AI is affecting software development, lowering the barrier to coding without eliminating the need for experienced engineers, and how agent-driven tools may shift infrastructure decision-making away from humans.

Watch more from Six Five Media: https://www.youtube.com/@SixFiveMedia

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Sourcegraph's CTO just revealed why 90% of his code now comes from agents?and why the Chinese models powering America's AI future should terrify Washington. While Silicon Valley obsesses over AGI apocalypse scenarios, Beyang Liu's team discovered something darker: every competitive open-source coding model they tested traces back to Chinese labs, and US companies have gone silent after releasing Llama 3. The regulatory fear that killed American open-source development isn't hypothetical anymore?it's already handed the infrastructure layer of the AI revolution to Beijing, one fine-tuned model at a time.

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The a16z AI Apps team outlines how they are thinking about the AI application cycle and why they believe it represents the largest and fastest product shift in software to date. The conversation places AI in the context of prior platform waves, from PCs to cloud to mobile, and examines where adoption is already translating into real enterprise usage and revenue. They walk through three core investment themes: existing software categories becoming AI-native, new categories where software directly replaces labor, and applications built around proprietary data and closed-loop workflows. Using portfolio examples, the discussion shows how these models play out in practice and why defensibility, workflow ownership, and data moats matter more than novelty as AI applications scale.

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Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see https://a16z.com/disclosures/ for more information.  A list of investments made by a16z is available at https://a16z.com/portfolio

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The Stanford PhD who built DSPy thought he was just creating better prompts?until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. 

While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on.

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Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

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a16z cofounders Marc Andreessen and Ben Horowitz join a16z general partner Erik Torenberg and Not Boring founder Packy McCormick for a conversation on how the media and information ecosystem has changed over the past decade. The discussion breaks down the shift toward a more open and decentralized speech environment, the rise of writer- and creator-led platforms like Substack, and the erosion of centralized media gatekeepers. Marc and Ben also tie these dynamics to their investing worldview, outlining how supply-driven markets, major technological step changes, and reputation-driven venture platforms shape outcomes in the AI era.

Timecodes: 

00:00  Introduction
00:46  How the media ecosystem is changing
4:20  Why a16z invested in Substack
6:28  Supply-driven markets and new content creation
8:07  Why writers felt trapped by media companies
10:09  Databricks and the 10x cloud multiplier
13:58  Long-form podcasting proves demand
15:40  What the new fund signals about the future
16:24  AI as a universal problem solver
18:49  Why market sizing is broken
20:45  Go-to-market, policy, and platform power
22:37  Turning inventors into confident CEOs
25:58  Borrowing power to scale faster
27:29  Building dreamers, not killing dreams
30:46  Reputation as a core competitive advantage
35:57  Taking arrows in public
38:56  Avoiding big company failure modes
40:39  Autonomous teams inside a16z
41:54  Venture capital as the last job
46:01  Why intangibles matter more than ever
48:17  Original thinkers with charisma
50:06  Why Zoomers are different

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a16z General Partner Alex Rampell joined the Technology Brothers Podcast Network following the announcement of Andreessen Horowitz?s new fund to discuss what drives founders to build enduring companies. Drawing on his journey from early software entrepreneur to leading a16z?s apps fund, Alex shared how high agency, deep historical understanding, and the ability to attract talent, capital, and customers separate great founders from the rest. He reflected on motivation beyond money, explaining why ?revenge or redemption? often fuels the resilience required to push through the hardest moments of company building.

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AI is changing how companies are built and how venture firms operate, forcing faster decisions, clearer judgment, and new ways of working.

In this exclusive conversation, Ben Horowitz shares how Andreessen Horowitz adapts to that shift. He explains why managing GPs is different from running a company, how investors are evaluated at the moment of decision rather than years later, and why verticalized teams help the firm scale without internal politics.

Ben also breaks down the current AI cycle, from treating AI as a new computing platform to why application design and model orchestration matter more than raw model size. He discusses the return of M&A and why today?s AI market reflects real demand, not just inflated valuations.

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This episode is a special feed drop from The Twenty Minute VC, featuring a conversation between Harry Stebbings and a16z General Partner Alex Rampell.

Alex shares how he thinks about investing at scale, including why ownership and incentives matter, how venture changes as funds get larger, and what it really takes to win the best deals. He walks through his core founder framework of backing people who can materialize talent, capital, and customers, and explains why the strongest companies often have ?hostages,? not just customers.

The discussion also covers pricing risk, secondaries, moral hazard in private markets, and how AI is reshaping software, labor, and company formation. Together, Harry and Alex unpack what it takes to build durable, category-defining companies in an era where technology is moving faster than ever.

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Following the announcement of a16z?s new fund, Andreessen Horowitz cofounder and general partner Ben Horowitz joined TBPN to discuss how Andreessen Horowitz has evolved its firm structure as technology becomes embedded across every sector of the economy. Ben reflects on which lessons from The Hard Thing About Hard Things still apply to founders, why entrepreneurship remains difficult at any scale, and how long-term partnerships shape decision-making inside the firm. He explains the move toward specialized, independent investment teams, how a16z evaluates new markets, and why AI represents a generational technology shift that changes how companies are built and how investors operate. The conversation also lessons from prior technology cycles and bubbles, the role of public policy in sustaining innovation ecosystems, and how founders can navigate modern media attention and public discourse while building durable, long-term companies.

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In this feed drop from Uncapped, Jack Altman sits down with a16z co-founder Ben Horowitz to unpack the founding bet behind Andreessen Horowitz. VC should be a better product for entrepreneurs, built on real operating experience, real networks, and real support.

Ben shares how he and Marc Andreessen have worked together for 30 years, how they make decisions, and what it takes to scale a venture firm without losing the edge that actually helps founders. They also dig into why boards matter, how platform teams can change what partners do day-to-day, and the difference between ?heat-seeking? investing and conviction-driven company building, especially in sectors like AI and crypto.

Timecodes:

00:00 Introduction 

01:05 Ben Horowitz & Marc Andreessen?s Partnership  

04:05 Building & Leading a16z  

07:16 Managing High-Powered VCs  

11:01 Boards, Governance & Founder Support  

15:36 Platform Services & Recruiting  

17:43 Scale vs. Concentration in Venture  

20:57 Why Venture Can Scale  

24:27 Platform Services: What Works and What Doesn?t  

27:50 The Real Value of Board Membership  

35:38 Media, Brand & Marketing Evolution  

41:32 The Future of Media & Journalism  

45:30 Limits on Venture Firm Size  

49:13 Winning vs. Picking Deals  

53:16 The Case Against Venture Scale  

55:49 Hiring Operators & Rethinking the VC Product

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In 2025, we saw the first glimpses of true AI agents. In 2026, every company will be rushing to get them into production, and they?ll need companies like Keycard to manage fleets of agents.

In this conversation, a16z Partner Joel de la Garza sits down with Keycard Cofounder and CEO Ian Livingstone to discuss the continuum from copilots to agents, the security realities of tool-calling, why enterprises will adopt before consumers, and how to control your agents.

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a16z co-founder and General Partner Marc Andreessen joins an AMA-style conversation to explain why AI is the largest technology shift he has experienced, how the cost of intelligence is collapsing, and why the market still feels early despite rapid adoption. The discussion covers how falling model costs and fast capability gains are reshaping pricing, distribution, and competition across the AI stack, why usage-based and value-based pricing are becoming standard, and how startups and incumbents are navigating big versus small models and open versus closed systems. Marc also addresses China?s progress, regulatory fragmentation, lessons from Europe, and why venture portfolios are designed to back multiple, conflicting outcomes at once.

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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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Dylan Field is the co-founder and CEO of Figma, a design software company that went public in July 2025. Founded in 2012, Figma transformed how people design, prototype, and build products together. After a $20 billion acquisition attempt by Adobe collapsed in 2022 because of regulators, Dylan helped Figma rebound stronger than ever. Just three years later, Figma listed its shares at nearly $20 billion and its stock price more than tripled on its first trading day.

A few highlights:

Expanding a sleepy market

Merging of designers and product roles

Counter-narrative to polarizing CEOs

If models get better, we have to

Remembering Brat Summer

Resources:

More on Dylan:

https://www.figma.com/

https://X.com/zoink

More on Jack:

https://www.altcap.com/

https://x.com/jaltma

https://linktr.ee/uncappedpod

Email: [email protected]

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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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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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Originally published in June 2023, this conversation features a16z cofounder Marc Andreessen following the release of his nearly 7,000-word essay arguing that AI does not threaten our humanity. In a wide-ranging discussion with a16z General Partner Martin Casado, Andreessen expands on why he believes AI can dramatically amplify human potential, why its future should be shaped by open markets rather than regulation, and why fears of existential catastrophe are misplaced. Rather than destroying the world, he argues, AI may help save it.

Read ?Why AI Will Save the World?: https://a16z.com/2023/06/06/ai-will-save-the-world/ 

Resources:

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

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

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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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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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In this exclusive conversation from a16z?s Bio and Health BUILD Summit, founding partner Ben Horowitz sits down with general partner Jorge Conde. Originally released in August 2023, the episode covers everything from the inspiration behind Ben?s book The Hard Thing About Hard Things and how the open internet was secured, to the difference between wartime and peacetime CEOs, what it really means to scale culture, and how bio and healthcare innovation differs from other forms of technology.

Ben?s Book: https://www.amazon.com/Hard-Thing-About-Things-Building/dp/0062273205

Resources:

Follow Ben on Twitter: https://x.com/bhorowitz

Follow Jorge on Twitter: https://x.com/jorgecondebio

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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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Originally aired in October 2023, this episode centers on Marc Andreessen?s essay The Techno-Optimist Manifesto, which lays out his vision for the future of technology. The piece sparked widespread discussion across traditional and social media by challenging the prevailing pessimistic narrative around technology and arguing instead that it can be a force for growth, progress, and abundance.

In this one-on-one conversation, based on listener questions from X (formerly Twitter), a16z cofounder Ben Horowitz and Marc discuss how technological advances can improve quality of life, support marginalized communities, and shape how we think about humanity?s long-term future.

Read the full manifesto: https://a16z.com/the-techno-optimist-manifesto/

Resources:

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

Follow Ben Horowitz on X: https://x.com/bhorowitz

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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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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

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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.

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This episode is a special replay from The Generalist Podcast, featuring a conversation with a16z General Partner Martin Casado. Martin has lived through multiple tech waves as a founder, researcher, and investor, and in this discussion he shares how he thinks about the AI boom, why he believes we?re still early in the cycle, and how a market-first lens shapes his approach to investing.

They also dig into the mechanics behind the scenes: why AI coding could become a multi-trillion-dollar market, how a16z evolved from a small generalist firm into a specialized organization, the growing role of open-source models, and why Martin believes AGI debates often obscure more meaningful questions about how technology actually creates value.

Resources:

Follow Mario Gabriele

X: https://x.com/mariogabriele

https://www.generalist.com/

Follow Martin Casado:

LinkedIn: https://www.linkedin.com/in/martincasado/

X: https://x.com/martin_casado

The Generalist Substack: https://www.generalist.com/

The Generalist on YouTube: https://www.youtube.com/@TheGeneralistPodcast

Spotify: https://open.spotify.com/show/6mHuHe0Tj6XVxpgaw4WsJV

Apple: https://podcasts.apple.com/us/podcast/the-generalist/id1805868710

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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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As 2025 comes to a close, consumer AI is entering a new phase. A small number of products now dominate everyday use, multimodal models have unlocked entirely new creative workflows, and the big labs have pushed aggressively into consumer experiences. At the same time, it is becoming clearer which ideas actually changed user behavior and which ones did not.

In this episode, a16z consumer investors Anish Acharya, Olivia Moore, Justine Moore, and Bryan Kim look back at the biggest product and model shifts of 2025 and then look ahead to what 2026 may bring. They discuss why consumer AI appears to be trending toward winner-take-most, how subtle product design choices can matter more than raw model quality, and why templates, multimodality, and distribution are shaping the next wave of consumer products.

Where do startups still have room to win? How will the role of the big labs continue to change? And what will it actually take for consumer AI apps to break out at scale in 2026?

Resources:

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

Follow Olivia: https://x.com/omooretweets

Follow Justine: https://x.com/venturetwins

Follow Bryan: https://x.com/kirbyman01

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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New infrastructure primitives are creating entirely new rails for building.

In this episode of Big Ideas 2026, we explore three foundational shifts that unlock new markets and workflows, not through incremental upgrades, but through primitives that compound over time.

First, programmable money evolves beyond stablecoins into on-chain credit origination and synthetic financial products, offering lower operational costs and greater composability than traditional finance. Second, autonomy begins entering scientific research through collaborative labs, where AI reasoning models work alongside automation and robotics, and interpretability becomes essential for progress. Third, distribution itself becomes a primitive, as AI-native startups win early by selling to other startups at formation, then scale alongside the next generation of companies.

You will hear from Guy Willette on the next phase of on-chain finance, Oliver Shu on autonomous labs and AI-assisted discovery, and James da Costa on the greenfield go-to-market strategy.

Together, these ideas define what new infrastructure primitives really mean: the rails that enable entirely new systems to emerge, compound, and scale.

Resources:

Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

Crypto Big Ideas: https://a16zcrypto.com/posts/article/big-ideas-things-excited-about-crypto-2026/

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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 is moving into the physical economy.

In this episode of Big Ideas 2026, we explore what changes when AI leaves the screen and becomes part of factories, construction sites, supply chains, and critical infrastructure. When the product is physical, reliability matters, real-world constraints appear quickly, and the advantage shifts from standalone software to end-to-end systems.

You will hear from Erin Price-Wright on factory-first principles, Ryan McEntush on the electro-industrial stack, Zabie Elmgren on physical observability, and Will Bitsky on why data, not compute, determines who wins.

Together, these ideas define what physical AI really means: not smarter chat, but deployable systems built for the real world, grounded in new operating models, industrial infrastructure, and defensible data collection.

Resources:

Follow Ryan McEntush on X: https://x.com/rmcentush

Follow Erin Price-Wright on X: https://x.com/espricewright

Follow Zabie Elmgren on X: https://x.com/zabie_e

Follow Will Bitsky on X: https://x.com/willbitsky

Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

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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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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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Voice is becoming one of the fastest paths for AI to do real work, especially in regulated environments where accuracy and compliance matter. In this episode, we look at voice agents replacing and augmenting phone-based workflows, what trust and measurement look like when AI runs sensitive interactions, and how healthcare and consumer products shift toward continuous monitoring and deeper connection. The throughline is simple: as AI enters higher-stakes moments, the winners will be the systems people can trust and actually rely on.

Resources:

Follow Olivia Moore on X: https://x.com/omooretweets

Follow Bryan Kim on X: https://x.com/kirbyman01

Follow Julie Yoo on X: https://x.com/julesyoo

Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

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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 is becoming the orchestration layer inside the enterprise.

In this episode of Big Ideas 2026, we explore the shift from isolated AI copilots to coordinated multi-agent systems that plan, analyze, and execute work across teams and tools. This is not a new feature, but a new way workflows run inside large organizations.

You will hear from Seema Amble on context extraction and coordinated agent teams, Angela Strange on why unified data and parallel workflows accelerate core replacement, Alex Immerman on multiplayer AI and execution boundaries, and David Haber on what makes these systems commercially defensible.

Together, these perspectives define the enterprise orchestration layer: not a chatbot and not a standalone tool, but a coordinated system of agents that runs the workflow and delivers real outcomes across the business.

Resources:

Follow Angela Strange on X: https://x.com/astrange

Follow David Haber on X: https://x.com/dhaber

Follow Alex Immerman on X: https://x.com/aleximm

Follow Seema Amble on X: https://x.com/seema_amble

Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

Stay Updated:

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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 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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AI is moving from chat to action.

In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.

You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.

Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does.

Resources:

Follow Marc Andrusko on X: https://x.com/mandrusko1

Follow Stephanie Zhang on X: https://x.com/steph_zhang  

Follow Sarah Wang on X: https://x.com/sarahdingwang

Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

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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.

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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Fintech went from a full-blown surge to a near standstill in just two years. At its peak, about 25 percent of all venture dollars were pouring into the category. By late 2022, that number had collapsed to almost zero. In this conversation, a16z General Partner David Haber and Plaid cofounder and CEO Zach Perret unpack what actually happened during that cycle and why the market is heating up again.

We explore how the industry moved from the explosive growth of 2020 and 2021 into a deep freeze, and why we are now seeing real momentum return. We also dig into the forces reshaping fintech today: AI?s outsized impact on fraud and underwriting, incumbents finally embracing external software, the renewed importance of deposits, and the rise of embedded finance across entirely new categories.

Zach shares how Plaid has navigated these shifts, what the company is building now, and how he sees the next phase of fintech taking shape.

Resources:

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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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In this episode, we?re sharing a conversation with David George, General Partner at a16z on the firm?s growth investing team. David has been involved in backing many of the defining companies of this era and is now investing behind a new wave of AI startups.

This discussion goes deep into how the a16z growth practice operates: how the team hires and develops a ?Yankees-level? culture, how investment decisions get made without traditional committees, and how they build long-term relationships with founders years before investing.

A major focus is AI. David talks through how the team is investing across the stack and why he believes this period could create some of the largest companies ever built.

He also walks through the models that guide his thinking: why markets often misprice consistent growth, what makes ?pull? businesses so durable, why many important markets become winner-take-all, and what he?s learned from studying exceptional founders ? especially the ?technical terminators? he?s drawn to.

Resources:

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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.

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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: 

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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 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:

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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 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

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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:

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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.

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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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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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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:

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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.

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a16z General Partners David Haber, Alex Rampell, and Erik Torenberg discuss why 19 out of 20 AI startups building the same thing will die - and why the survivor might charge $20,000 for what used to cost $20.

They expose the "janitorial services paradox" (why the most boring software is most defensible), explain why OpenAI won't compete with your orthodontic clinic software despite having 800 million weekly users, and reveal how non-lawyers are building the most successful legal AI companies. Plus: the brutal truth about why momentum isn't a moat, but without it, you're already dead.

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A16Z co-founder Ben Horowitz joins Shaan Puri and Sam Parr on My First Million to talk about how to be a great leader.

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Russ Fradin sold his first company for $300M. He?s back in the arena with Larridin, helping companies measure just how successful their AI actually is.

In this episode, Russ sits down with a16z General Partner Alex Rampell to reveal why the measurement infrastructure that unlocked internet advertising's trillion-dollar boom is exactly what's missing from AI, why your most productive employees are hiding their AI usage from management, and the uncomfortable truth that companies desperately buying AI tools have no idea whether anyone's actually using them. 

The same playbook that built comScore into a billion-dollar measurement empire now determines which AI companies survive the coming shakeout.

Timecodes: 

0:00 ? Introduction 

2:15 ? Early Career, Ad Tech, and Web 1.0

3:09 ? Attribution Problems in Ad Tech & AI

4:30 ? Building Measurement Infrastructure

6:49 ? Software Eating Labor: Productivity Shifts

8:51 ? The Challenge of Measuring AI ROI

14:54 ? The Productivity Baseline Problem

18:46 ? Defining and Measuring Productivity

21:27 ? Goodhart?s Law & the Pitfalls of Metrics

22:41 ? The Harvey Example: Usage vs. Value

25:18 ? Surveys vs. Behavioral Data

28:38 ? Interdepartmental Responsiveness & Real-World Metrics

31:00 ? Enterprise AI Adoption: What the Data Shows

33:59 ? Employee Anxiety & Training Gaps

38:31 ? The Nexus Product & Safe AI Usage

42:08 ? The Future of Work: Job Loss or Job Creation?

44:40 ? The Competitive Advantage of AI

53:45 ? The Product Marketing Problem in AI

55:00 ? The Importance of Specific Use Cases

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In this episode, a16z GP Martin Casado sits down with Sherwin Wu, Head of Engineering for the OpenAI Platform, to break down how OpenAI organizes its platform across models, pricing, and infrastructure, and how it is shifting from a single general-purpose model to a portfolio of specialized systems, custom fine-tuning options, and node-based agent workflows.

They get into why developers tend to stick with a trusted model family, what builds that trust, and why the industry moved past the idea of one model that can do everything. Sherwin also explains the evolution from prompt engineering to context design and how companies use OpenAI?s fine-tuning and RFT APIs to shape model behavior with their own data.

Highlights from the conversation include: 

? How OpenAI balances a horizontal API platform with vertical products like ChatGPT
? The evolution from Codex to the Composer model
? Why usage-based pricing works and where outcome-based pricing breaks
? What the Harmonic Labs and Rockset acquisitions added to OpenAI?s agent work
? Why the new agent builder is deterministic, node based, and not free roaming

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Ben Horowitz reveals why the US already lost the AI culture war to China?and it wasn't the technology that failed. While Biden's team played Manhattan Project with closed models, Chinese developers quietly captured the open-source heartbeat of global AI through DeepSeek, now running inside every major US company and university lab. The kicker: Google and OpenAI employ so many Chinese nationals that keeping secrets was always a delusion, but the policy locked American innovation behind walls while handing cultural dominance to Beijing's weights?the encoded values that will shape how billions of devices interpret everything from Tiananmen Square to free speech.

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Marc Andreessen and Ben Horowitz sit down with Margit Wennmachers?the woman who turned two unknown entrepreneurs with $300 million and zero investing track record into the most talked-about firm in venture capital. She unpacks how they weaponized transparency in an industry built on secrecy, why Fortune's cover story triggered a cartel meltdown, and the exact moment a casual lunch conversation became "Software Is Eating the World." This is the origin story of how A16Z broke every unwritten rule, made enemies of every top-tier firm, and permanently rewired what it means to build companies in public.

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Half a billion people can access the world?s best AI on their phone. So why are most using it to write emails while only some are using it to build empires?

In this conversation with Mark Halperin from Next Up, Marc Andreessen reveals why small bakeries are beating Fortune 500 companies at AI adoption, how to turn ChatGPT into your personal board of directors, and why Silicon Valley just reversed five years of geographic dispersion overnight. He also shares the questions that unlock AI's real power?including one of his favorite prompts: "What questions should I be asking?"

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Epoch AI researchers reveal why Anthropic might beat everyone to the first gigawatt datacenter, why AI could solve the Riemann hypothesis in 5 years, and what 30% GDP growth actually looks like. They explain why "energy bottlenecks" are just companies complaining about paying 2x for power instead of getting it cheap, why 10% of current jobs will vanish this decade, and the most data-driven take on whether we're racing toward superintelligence or headed for history's biggest bubble.

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Vlad Tenev built Robinhood by breaking every rule Wall Street wrote: zero commissions when competitors charged $10, mobile-first when "serious" investors demanded desktop, a brand that made finance feel like rebellion instead of a club you'd never join.

By 2021 they'd forced every major brokerage to slash fees and attracted millions who'd never owned a stock, but then GameStop happened: trading restrictions during the meme stock frenzy triggered congressional hearings, user fury, and a two-year brand crisis that nearly buried them despite the real culprit being antiquated clearing mechanics no one understood. 

Now Tenev's pushing an even more radical vision?tokenizing private company shares so retail investors can own stakes in AI giants before IPO, turning prediction markets into "truth machines" that beat polls and pundits, and building what he calls the end of financial nihilism: a platform where your seventy-year-old parents and your Gen Z cousin both manage everything from retirement accounts to election bets in one place.

The question isn't whether traditional finance survives this; it's whether Robinhood can move fast enough to own the entire wealth transfer before someone else does.

Timestamps:

0:00 - Introduction
3:52 - Financial Relationships vs. Pinterest Boards: The Higher Bar
5:27 - Building in a Regulatory Catch-22
7:53 - Three Simultaneous Contrarian Bets
12:15 - From Institutional HFT to Retail Revolution
17:40 - January 28th: The Day Trust Died
27:40 - ?Simple Lie More Powerful Than Complicated Truth?
30:02 - Tokenization: The Antidote to T+1 Settlement
32:52 - IPO Access: From Asking For Favors to Everyone Wanting In
39:22 - ?Series D Was Called an IPO?
43:06 - WTF Happened in 1971?
47:42 - Going Broad While Going Deep
53:26 - The $120 Trillion Wealth Transfer
58:16 - Debunking ?Financial Nihilism?
58:40 - ?Speculation Is Critical For Functioning Markets?

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The former bank regulator who invented deposit networks just revealed why SVB's collapse was inevitable?and why the solution that could have saved them is finally being rebuilt. 

Gene Ludwig ran the OCC during the Clinton administration, created a half-trillion-dollar market solving a problem his Aunt Betty faced riding buses between banks, then watched his invention fail to save Silicon Valley Bank because the technology, economics, and incentives were fundamentally broken. 

Now he's partnered with Paolo and ModernFi to build what could become America's eighth systemically important financial utility: a bank-owned consortium that's signing 25 institutions per week and racing to protect the 4.8 trillion in uninsured deposits that make the next crisis inevitable.

Resources:

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Palmer Luckey got fired from Meta for backing the wrong candidate?now he's the hero saving American defense, and that shift tells you everything about how fast the ground moved beneath Silicon Valley's feet. For decades, tech and defense were allies, then came 15 years of hostility so visceral that Google employees revolted over a Pentagon AI contract, and when leadership caved, only three people showed up to hear what border security actually involves. But something broke: COVID exposed our inability to make things, Ukraine revealed wars now iterate in days not decades, and suddenly the Harvard dorm room generation realized the people building satellites and drones weren't just necessary?they were the future, while legacy defense contractors still operate on Soviet-style five-year plans that guarantee cost overruns and obsolescence. Now the question isn't whether Silicon Valley returns to its Cold War roots, but whether America wins by becoming more like China's centralized system or doubles down on the chaotic creativity that built nine of the world's ten most valuable companies in 25 years?and the founders flooding into defense, energy, mining, and manufacturing suggest the second American century is just getting started.

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Emmett Shear, founder of Twitch and former OpenAI interim CEO, challenges the fundamental assumptions driving AGI development. In this conversation with Erik Torenberg and Séb Krier, Shear argues that the entire "control and steering" paradigm for AI alignment is fatally flawed. Instead, he proposes "organic alignment" - teaching AI systems to genuinely care about humans the way we naturally do. The discussion explores why treating AGI as a tool rather than a potential being could be catastrophic, how current chatbots act as "narcissistic mirrors," and why the only sustainable path forward is creating AI that can say no to harmful requests. Shear shares his technical approach through multi-agent simulations at his new company Softmax, and offers a surprisingly hopeful vision of humans and AI as collaborative teammates - if we can get the alignment right.

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Two venture capitalists dissect why biotech burns billions while China runs trials in weeks?and why the next Genentech won't look anything like the last one. Elliot Hershberg reveals the "three horsemen" strangling drug development as costs explode to $2.5 billion per approval, while Lada Nuzhna exposes how investigator-initiated trials in Shanghai are rewriting the competitive playbook faster than American founders can file INDs. When the infrastructure that built monoclonal antibodies becomes the commodity threatening to hollow out an entire industry, the only path forward demands inventing medicines that are literally impossible to make without tools that don't exist yet?and they're betting everything on which approach survives.

Resources:

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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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Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, they have long been laying the groundwork for the innovations transforming industries today.

With the recent launch of Marble, the first product from their company World Labs, we are revisiting this conversation to explore the ideas that started it all. World Labs is focused on spatial intelligence, building Large World Models that can perceive, generate, and interact with the 3D world. Marble brings that vision to life, allowing anyone, from individual creators to major platforms, to generate 3D scenes directly from text or image prompts and turn complex 3D creation into a simple, creative process.

In this episode, a16z general partner Martin Casado talks with Fei-Fei and Justin about the journey from early AI winters to the rise of deep learning and multimodal AI. From foundational breakthroughs like ImageNet to the cutting-edge realm of spatial intelligence, they discuss the evolution of the field and what is next for innovation at World Labs.

Timecode:

0:00 ? The Next Decade of AI
2:45 ? Origins: Backgrounds of the Founders
6:50 ? The Rise of Deep Learning & ImageNet
8:00 ? Algorithmic Unlocks: Compute, Data, and Supervised Learning
12:00 ? From Predictive to Generative AI
16:20 ? The Journey to Spatial Intelligence
18:35 ? Defining Spatial Intelligence
21:15 ? 3D Data, Computer Vision, and Breakthroughs
23:15 ? Reconstruction vs. Generation in Computer Vision
24:45 ? Spatial Intelligence vs. Language Models
29:00 ? Applications: Virtual, Augmented, and Physical Worlds
39:55 ? Building World Labs: Team and Vision
41:55 ? The North Star: Measuring Success in Spatial Intelligence

Resources:

Learn more about World Labs: https://www.worldlabs.ai

Learn more about Marble: https://Marble.WorldLabs.ai

Find Fei-Fei on Twitter: https://x.com/drfeifei

Find Justin on Twitter: https://x.com/jcjohnss

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

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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 Empire State Building took 110 days to build?today, changing a window would take two years. 

Alex Rampell (a16z) and Varun Krishna (Rocket CEO) expose how asset inflation turned housing from the American Dream into a wealth transfer machine where the median homebuyer age jumped from 30 to 38 in just fourteen years. While Silicon Valley burns billions on products people use daily but never pay for, Rocket quietly assembled a $10 billion profit engine and is now buying up the entire housing funnel?from Redfin's 50 million monthly searchers to one in six US mortgages?betting they can crack the code everyone else gave up on: turning a once-in-a-lifetime transaction into an everyday relationship.

Resources:

Follow Varun on LinkedIn: https://www.linkedin.com/in/varun-krishna-30019a22

Follow Rocket on X: https://x.com/RocketOTD

Follow Alex on X: https://x.com/arampell

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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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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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