
AI + a16z
Artificial intelligence is changing everything from art to enterprise IT, and a16z is watching all of it with a close eye. This podcast features discussions with leading AI engineers, founders, and experts, as well as our general partners, about where the technology and industry are heading.
Episodes
Building Search for AI Agents with Exa CEO Will Bryk
Sarah Wang speaks with Exa cofounder and CEO Will Bryk about building search infrastructure for the AI era.
The conversation covers Exa’s origins, why traditional search engines were not designed for AI agents, and how search changes when the user is no longer a human but an autonomous system. They discuss retrieval, agent workflows, coding agents, data access, and why search may become a foundati
AI Agents and the Fight for Customer Data
Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI.
The conversation covers Fivetran’s merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software. They discuss open data access, the backlash against AI agents accessing systems
Ben Horowitz on AI Infrastructure, Economics and The New Laws of Software
Recorded live at the a16z Fintech Connect conference in Deer Valley, Alex Rampell speaks with Ben Horowitz, cofounder and general partner at a16z, about how AI has rewritten the fundamental rules of software competition, why crypto infrastructure will become essential in an AI-dominated world, and what the future holds for venture capital.
Follow Alex Rampell on X: https://twitter.com/arampell
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AI Infrastructure, Distribution, and the Next Wave of Software
Sophie Buonassisi speaks with Jennifer Li, general partner at a16z, about why infrastructure is becoming one of the most important areas in AI. They discuss how the shift to AI-native systems is reshaping everything from storage and compute to developer tooling and orchestration.
The conversation explores early insights from companies like ElevenLabs, why distribution has become the defining advan
From Vector Databases to Knowledge Engines: The Next Layer of AI
Peter Levine speaks with Ash Ashutosh, CEO of Pinecone, about the launch of Nexus and the shift from vector databases to knowledge engines. As agents become the primary users of software, they discuss why traditional retrieval systems break down and how AI systems need to evolve to support machine-to-machine interactions.
The conversation explores how agents currently spend most of their time retr
Why We Need Continual Learning
Elena Burger speaks with Malika Aubakirova, partner on the AI infrastructure team at a16z, about why today’s AI systems struggle to learn over time. They discuss the limits of in-context learning, the case for continual learning, and how models may need to evolve from static systems into ones that learn from experience.
Resources:
Follow Malika on X: https://x.com/MaikaThoughts
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The Agent Era: Building Software Beyond Chat with Box CEO Aaron Levie
Erik Torenberg, Steve Sinofsky, and Martin Casado speak to Aaron Levie, CEO at Box, about what happens to enterprise software when agents become the primary users. They discuss why coding agents succeed where other knowledge work agents struggle, what abstraction layers mean for the workforce, and how data access and systems of record must change in an agent-first world.
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Rethinking Git for the Age of Coding Agents with GitHub Cofounder Scott Chacon
Matt Bornstein speaks with Scott Chacon, cofounder of GitHub and CEO of GitButler, about why Git's user interface has barely changed since 2005, how GitButler is rethinking version control for both humans and AI agents, and what the "next GitHub" might actually look like. They cover parallel branches, agent-optimized CLI design, the future of code review, and why the best engineers of the future w
How AI Is Reshaping IT Services from the Inside
Joe Schmidt speaks with Peter Doyle, CEO of Treeline, about why the $100B managed service provider market is a decade behind modern technology and how Treeline is building a new model that combines human technicians with AI and automation. They discuss the company's growth strategy, why pure play software struggles in services categories, and what the forward deployed engineer trend tells us about
Patrick Collison on Stripe’s Early Choices, Smalltalk, and What Comes After Coding
Michael Truell, CEO of Cursor, sits down with Patrick Collison, CEO of Stripe and an investor in Anysphere, to talk about Collison's history with Smalltalk and Lisp, the MongoDB and Ruby decisions Stripe still lives with 15 years later, why he'd spend even more time on API design if he could do it over, and whether AI is actually showing up in economic productivity data. This episode originally ai
OpenClaw: Why the Internet Isn't Built for AI Agents
Yoko Li, Guido Appenzeller, and Joel de la Garza discuss OpenClaw, the open source personal AI assistant that's forcing a rethink of how identity, permissions, and security work on the internet. They cover why setting up Gmail integration took seven hours, what happens when an agent asks for domain-wide access to every email in your company, and why consumer websites like DoorDash and Amazon have
What's Missing Between LLMs and AGI - Vishal Misra & Martin Casado
Vishal Misra returns to explain his latest research on how LLMs actually work under the hood. He walks through experiments showing that transformers update their predictions in a precise, mathematically predictable way as they process new information, explains why this still doesn't mean they're conscious, and describes what's actually required for AGI: the ability to keep learning after training
Replit's CEO on Vibe Coding, Wealth Building, and What Most People Get Wrong About AI
Jack Neel speaks with Amjad Masad, CEO at Replit, about how AI is making it easier than ever to build and ship software without a technical background. They discuss Replit's rise from a browser-based coding tool to a platform generating $250 million in annual revenue, why Masad turned down a $1 billion acquisition offer, and his case for why AI represents empowerment rather than existential risk.
Jack Altman & Martin Casado on the Future of VC
Jack Altman sits down with Martin Casado, General Partner at a16z, to unpack the shifting dynamics of venture capital and why media matters more than ever. They cover a16z’s evolution from generalists to specialized platforms, the rise of AI infrastructure, and why today’s fiercest battles are often for talent, not market share.
Timecodes:
0:00 Introduction
0:27 Importance of Media for VC
3:50 Evo
AI’s Capital Flywheel: Models, Money, and the Future of Power
a16z's Martin Casado and Sarah Wang join Latent Space hosts Alessio Fanelli and Swyx to discuss what makes this AI investment cycle unlike anything in the history of venture capital. They cover why the lines between venture and growth, apps and infrastructure are blurring, how frontier model companies can raise more than the aggregate of everyone built on top of them, and why the industry-wide gap
Durable Execution and the Infrastructure Powering AI Agents
Raghu Raghuram, Managing Partner at a16z, and Sarah Wang, General Partner at a16z, speak with Samar Abbas, CEO of Temporal, about how durable execution became the infrastructure layer behind some of the world’s most widely used AI agents. They cover why long-running agents require state management and recoverability, how Temporal powers OpenAI’s Codex and Snap’s Story processing, and why the shift
Evals, Feedback Loops, and the Engineering That Makes AI Work
Martin Casado speaks with Ankur Goyal, founder and CEO of Braintrust, about where engineering actually matters in AI and where it doesn't. They cover the open source vs closed source model cycle, why Chinese models are gaining ground faster than spending suggests, whether AI demand will eventually saturate, and the Bash vs SQL benchmark that challenges the "just give it a computer" approach to age
Sam Altman on Sora, Energy, and Building an AI Empire
Sam Altman has led OpenAI from its founding as a research nonprofit in 2015 to becoming the most valuable startup in the world ten years later.In this episode, a16z Cofounder Ben Horowitz and General Partner Erik Torenberg sit down with Sam to discuss the core thesis behind OpenAI’s disparate bets, why they released Sora, how they use models internally, the best AI evals, and where we’re going fro
Why This Isn't the Dot-Com Bubble | Martin Casado on WSJ's BOLD NAMES
Christopher Mims and Tim Higgins of the Wall Street Journal sit down with a16z General Partner Martin Casado on WSJ’s Bold Names to ask whether the AI spending boom is a bubble waiting to burst. Martin explains why the fundamentals differ dramatically from the dot-com era—when WorldCom had $40 billion in debt versus today's tech giants with hundreds of billions on their balance sheets—and why a sp
Martin Casado on the Demand Forces Behind AI
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 barr
How Mintlify Is Rebuilding Documentation for Coding Agents
Mintlify is a documentation platform built by cofounders Han Wang and Hahnbee Lee to help teams create and maintain developer docs. In this episode, Andreessen Horowitz general partners Jennifer Li and Yoko Li speak with Han and Hahnbee about how coding agents are changing what “good docs” mean, shifting documentation from a human-only resource into infrastructure that powers AI tools, support age
Inferact: Building the Infrastructure That Runs Modern AI
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 q
How Should AI Be Regulated? Use vs. Development
To Regulate AI Effectively, Focus on How It’s UsedA conversation with Martin Casado on learning from past computing platform shifts, understanding marginal risk in AI, and why open source matters for US competitiveness.One of the core pillars of our roadmap for federal AI legislation makes clear AI should not excuse wrongdoing. When people or companies use AI to break the law, existing criminal, c
Michael Truell: How Cursor Builds at the Speed of AI
When four MIT grads decided to build a code editor while everyone else was building AI agents, they created the fastest-growing developer tool ever built. Cursor CEO Michael Truell joins a16z’s Martin Casado to discuss the deliberate constraints that led to breakthroughs: why they rejected the "democratization" narrative to focus on power users, how their 2-day work trials test for agency over cre
Dylan Patel on the AI Chip Race - NVIDIA, Intel & the US Government
Nvidia’s $5 billion investment in Intel is one of the biggest surprises in semiconductors in years. Two longtime rivals are now teaming up, and the ripple effects could reshape AI, cloud, and the global chip race.To make sense of it all, Erik Torenberg is joined by Dylan Patel, chief analyst at SemiAnalysis, joins Sarah Wang, general partner at a16z, and Guido Appenzeller, a16z partner and former
Feed Drop from The Generalist: Why a16z's Martin Casado believes the AI boom still has years to run
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 di
Fei-Fei Li: World Models and the Multiverse
What if the next leap in artificial intelligence isn’t about better language—but better understanding of space?In this episode, a16z General Partner Erik Torenberg moderates a conversation with Fei-Fei Li, cofounder and CEO of World Labs, and a16z General Partner Martin Casado, an early investor in the company. Together, they dive into the concept of world models—AI systems that can understand and
Building the “See Something, Say Something” AI for Every Camera
a16z's Martin Casado sits down with Shikhar Shrestha, CEO and cofounder of Ambient, the company bringing agentic AI to physical security.Shikhar shares how a traumatic armed robbery at age 12—and a security camera that no one was watching—sparked his mission to make every camera intelligent.They discuss how Ambient's AI monitors camera feeds in real-time to detect threats and prevent incidents bef
The AI That Found A Bug In The World’s Most Audited Code
Matt Knight spent five years as OpenAI’s CISO. Now he runs what colleagues call “the most interesting job at the company”: leading Aardvark, an AI agent that finds security vulnerabilities the way a human researcher would—by reading code, writing tests, and proposing patches. It recently found a memory corruption bug in OpenSSH, one of the most heavily audited codebases in existence.In this conver
The Death of Data Gatekeeping: AI Makes Everyone An Analyst | Hex Cofounder
Most companies still rely on dashboards to understand their data, even though AI now offers new ways to ask questions and explore information. Barry McCardel, CEO of Hex and former engineer at Palantir, joins a16z General Partner Sarah Wang to discuss how agent workflows, conversational interfaces, and context-aware models are reshaping analysis. Barry also explains how Hex aims to make everyone a
Why Social Engineering Now Works on Machines
Ian Webster built PromptFoo after watching 200 million Discord users systematically dismantle his AI agent—now Fortune 10 companies pay him to break theirs before customers do. The "lethal trifecta" sounds academic until you realize it's already happening: untrusted input plus sensitive data plus an exfiltration channel equals the security incident that just cost a SaaS company its multi-tenancy g
“Anyone Can Code Now” - Netlify CEO Talks AI Agents
Netlify's CEO, Matt Biilmann, reveals a seismic shift nobody saw coming: 16,000 daily signups—five times last year's rate—and 96% aren't coming from AI coding tools. They're everyday people accidentally building React apps through ChatGPT, then discovering they need somewhere to deploy them. The addressable market for developer tools just exploded from 17 million JavaScript developers to 3 billion
From Code Search to AI Agents: Inside Sourcegraph's Transformation with CTO Beyang Liu
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 L
Ryo Lu (Cursor): AI Turns Designers to Developers
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, we 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 co
How Foundation Models Evolved: A PhD Journey Through AI's Breakthrough Era
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 i
TruffleHog Creator: You Can’t Have AI Agents Without Secrets
If you can’t robustly protect your secrets, you can’t have reliable AI agents.In this episode, Truffle Security cofounder and CEO Dylan Ayrey joins a16z partner Joel de la Garza to discuss the emergent security stack for AI agents, why leaks are actually getting worse, and how Truffle evolved from an open-source side project to a major VC-backed startup. Follow Dylan here: https://x.com/InsecureNa
Tigris Data CEO on Building Your Own Datacenters
In this episode, a16z General Partner Martin Casado sits down with Ovais Tariq, Cofounder and CEO of Tigris Data, to discuss why independent storage is so hard, what operating your own datacenters is like, and what’s in store for the future of cloud.ResourcesFollow Ovais on X: https://x.com/ovaistariqFollow Tigris Data on X: https://x.com/tigrisdataFollow Martin on X: https://x.com/martin_casado
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Pylon: Reimagining B2B Customer Support
Customer support platforms lacked adequate solutions for B2B companies - until Pylon entered the scene.We sat down with Pylon cofounders Marty Kausas, Advith Chelikani, and Robert Eng to discuss why they went into B2B, how they plan to beat huge competitors, and why they still live together in a windowless apartment and work 9-9-6 hours despite having raised tens of millions.Follow Pylon on X: htt
Keycard: 2026 is the Year of Agents
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 enterpri
The Trillion Dollar AI Software Development Stack
AI coding has emerged as a major market for AI: one that’s already rewriting 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 (like legacy code migration). We also cover token economics for engineering teams, the emerging agent
Material Security CEO: How To Find Your Ideal Customer
What if the hardest part of building a company isn’t the product, but knowing exactly who it’s for?In this episode, a16z General Partner Martin Casado sits down with Abhishek Agrawal, Cofounder and CEO of Material Security, to discuss how an ideal customer profile is discovered, how to manage any kind of customer, and how frothy markets can distort real signal.Follow Martin on X: https://x.com/mar
When Deepfakes Steal $30M: The New Edge of Cybercrime
AI is transforming both sides of the cybersecurity cat-and-mouse game. Attackers are using LLMs to scale impersonation, phishing, and even deepfake fraud—while defenders are racing to automate detection and takedowns at the same speed.In this episode, a16z partner Joel de la Garza talks with Kevin Tian, cofounder & CEO of Doppel Security (and former Uber engineer), about building in this new lands
How AI Will Change Photography Forever
What if you could retake your favorite memories years after they happened, fixing the lighting, catching the smile, or even opening your eyes?In this conversation, a16z General Partner Martin Casado and Partner Yoko Li sit down with scientist and Lytro founder Ren Ng along with Phota Labs cofounders Cecilia Zhang and Zhihao “Zach” Xia to explore the past, present, and future of computational photo
How OpenAI Built Its Coding Agent
OpenAI’s Codex has already shipped hundreds of thousands of pull requests in its first month. But what is it really, and how will coding agents change the future of software?In this episode, General Partner Anjney Midha goes behind the scenes with one of Codex’s product leads- Alexander Embiricos - to unpack its origin story, why its PR success rate is so high, the safety challenges of autonomous
Models, Modalities, and Memes: Creating Compelling AI Characters
Models, Modalities, and Memes: Creating Compelling AI CharactersIn this episode of AI + a16z, Hedra founder and CEO Michael Lingelbach joins a16z partners Justine Moore and Matt Bornstein to talk about building AI-native video — and why the next wave of generative content is all about characters, not just clips.They discuss how Hedra’s expressive, full-body, dialogue-centric video models are power
Performance and Passion: Fal's Approach to AI Inference
If you've been experimenting with image, video, and audio models, the chances are you've been both blown away by how good they're becoming, and also a little perturbed by how long they can take to generate. If you've been using a platform like Fal, however, your experience on the latter point might be more positive.In this episode, Fal cofounder and CEO Burkay Gur and head of engineering Batuhan T
How to Vibe Code Securely
In this episode, a16z partner Joel de la Garza sits down with Socket founder and CEO Feross Aboukhadijeh to dive into the intersection of vibe coding and security. As one of the earliest security founders to fully embrace LLMs, Feross shares firsthand insights into how these technologies are transforming software engineering workflows and productivity — and where there are sharp edges that practit
AI Is Upending SaaS Pricing
In this episode, a16z GP Martin Casado sits down with Metronome CEO Scott Woody to unpack how AI is fundamentally changing the value proposition of software—and why that shift demands a rethink of the traditional SaaS business model.They explore how, in the cloud era, value scaled with the number of users accessing a shared system (think Salesforce). However, in the AI era, value shifts to the wor
The AI Infrastructure Stack with Jennifer Li
In this episode, which originally aired on the Complex Systems Podcast, a16z General Partner Jennifer Li discusses how AI is reshaping every layer of the software stack, creating demand for new types of middleware. Jennifer talks about emerging infrastructure categories and why the next wave of valuable companies might be the unsexy infrastructure providers powering tomorrow's intelligent applicat
AI's Unsung Hero: Data Labeling and Expert Evals
Labelbox CEO Manu Sharma joins a16z Infra partner Matt Bornstein to explore the evolution of data labeling and evaluation in AI — from early supervised learning to today’s sophisticated reinforcement learning loops.Manu recounts Labelbox’s origins in computer vision, and then how the shift to foundation models and generative AI changed the game. The value moved from pre-training to post-training a
AI, Data Engineering, and the Modern Data Stack
In this episode of AI + a16z, dbt Labs founder and CEO Tristan Handy sits down with a16z's Jennifer Li and Matt Bornstein to explore the next chapter of data engineering — from the rise (and plateau) of the modern data stack to the growing role of AI in analytics and data engineering. As they sum up the impact of AI on data workflows: The interesting question here is human-in-the-loop versus human
Enabling Agents and Battling Bots on an AI-Centric Web
Arcjet CEO David Mytton sits down with a16z partner Joel de la Garza to discuss the increasing complexity of managing who can access websites, and other web apps, and what they can do there. A primary challenge is determining whether automated traffic is coming from bad actors and troublesome bots, or perhaps AI agents trying to buy a product on behalf of a real customer.Joel and David dive into t
Giving New Life to Unstructured Data with LLMs and Agents
Instabase founder and CEO Anant Bhardwaj joins a16z Infra partner Guido Appenzeller to discuss the revolutionary impact of LLMs on analyzing unstructured data and documents (like letting banks verify identity and approve loans via WhatsApp) and shares his vision for how AI agents could take things even further (by automating actions based on those documents). In more detail, they discuss:Why legac
Beyond Leaderboards: LMArena’s Mission to Make AI Reliable
LMArena cofounders Anastasios N. Angelopoulos, Wei-Lin Chiang, and Ion Stoica sit down with a16z general partner Anjney Midha to talk about the future of AI evaluation. As benchmarks struggle to keep up with the pace of real-world deployment, LMArena is reframing the problem: what if the best way to test AI models is to put them in front of millions of users and let them vote? The team discusses h
Building AI Systems You Can Trust
In this episode of AI + a16z, Distributional cofounder and CEO Scott Clark, and a16z partner Matt Bornstein, explore why building trust in AI systems matters more than just optimizing performance metrics. From understanding the hidden complexities of generative AI behavior to addressing the challenges of reliability and consistency, they discuss how to confidently deploy AI in production. Why is t
Who's Coding Now? AI and the Future of Software Development
In this episode of the a16z AI podcast, a16z Infra partners Guido Appenzeller, Matt Bornstein, and Yoko Li explore how generative AI is reshaping software development. From its potential as a new high-level programming abstraction to its current practical impacts, they discuss whether AI coding tools will redefine what it means to be a developer.Why has coding emerged as one of AI's most powerful
MCP Co-Creator on the Next Wave of LLM Innovation
In this episode of AI + a16z, Anthropic's David Soria Parra — who created MCP (Model Context Protocol) along with Justin Spahr-Summers — sits down with a16z's Yoko Li to discuss the project's inception, exciting use cases for connecting LLMs to external sources, and what's coming next for the project. If you're unfamiliar with the wildly popular MCP project, this edited passage from their discussi
What Is an AI Agent?
In this episode of AI + a16z, a16z Infra partners Guido Appenzeller, Matt Bornstein, and Yoko Li discuss and debate one of the tech industry's buzziest words right now: AI agents. The trio digs into the topic from a number of angles, including:Whether a uniform definition of agent actually existsHow to distinguish between agents, LLMs, and functionsHow to think about pricing agentsWhether agents c
Benchmarking AI Agents on Full-Stack Coding
In this episode, a16z General Partner Martin Casado sits down with Sujay Jayakar, co-founder and Chief Scientist at Convex, to talk about his team’s latest work benchmarking AI agents on full-stack coding tasks. From designing Fullstack Bench to the quirks of agent behavior, the two dig into what’s actually hard about autonomous software development, and why robust evals—and guardrails like type s
Automating Developer Email with MCP and Al Agents
In this episode of AI + a16z, Resend founder and CEO Zeno Rocha sits down with a16z partner Yoko Li to discuss:How generative AI — powered by agents and, now, MCP — is reshaping the email experience for developers, as well as the overall world of programming. Zeno's obsession with developer experience has evolved into designing for "agent experience" — a new frontier where LLM-powered agents are
The Future of Digital Workers
In this episode of AI + a16z, a16z Partner Joe Schmidt sits down with 11x CTO Prabhav Jain for an inside look at how AI-powered digital workers are reshaping sales and revenue operations. They discuss the evolution of agentic AI, the trade-offs between orchestration and autonomy, and the technical innovations driving 11x’s products, Alice and Mike.Prabhav breaks down the challenges of real-time vo
Building the Next Generation of Conversational AI
In this episode of AI + a16z, Sesame Cofounder and CTO Ankit Kumar joins a16z general partner Anjney Midha for a deep dive into the research and engineering behind their voice technology. They discuss the technical challenges of real-time speech generation, the trade-offs in balancing personality with efficiency, and why the team is open-sourcing key components of their model. Ankit breaks down th
Agent Experience: Building an Open Web for the AI Era
In this episode of AI + a16z, Netlify CEO and Cofounder Matt Biilmann joins a16z General Partner Martin Casado to explore how AI is reshaping web development — not just through faster code generation, but by fundamentally shifting how we think about building for the web. At the center of this shift is Agent Experience (AX), a new paradigm where AI agents aren’t just tools, but active participants
What DeepSeek Means for Cybersecurity
In this episode of AI + a16z, a trio of security experts join a16z partner Joel de la Garza to discuss the security implications of the DeepSeek reasoning model that made waves recently. It's three separate discussions, focusing on different aspects of DeepSeek and the fast-moving world of generative AI.The first segment, with Ian Webster of Promptfoo, focuses on vulnerabilities within DeepSeek it
Agents, Lawyers, and LLMs
In this episode of AI + a16z, Aatish Nayak, head of product at Harvey, sits down with a16z partner Kimberly Tan to share his experience building AI products for enterprises — including the legal profession — and how to address areas like UX, trust, and customer engagement. Importantly, Aatish explains, industries like law don't need AGI or even the latest and greatest models; they need products th
Reasoning Models Are Remaking Professional Services
In this episode of AI + a16z, a16z partner Alex Immerman sits down with Hebbia founder and CEO George Sivulka to discuss the potential for reasoning models and AI agents to supercharge knowledge-worker productivity — and the global economy along with it. As George explains, his customers are already saving significant time and and effort on important, but monotonous, tasks, and improved models pai
Data Management for Enterprise LLMs
In this episode of AI + a16z, Fivetran cofounder and CEO George Fraser and a16z partner Guido Appenzeller discuss how LLMs fit into the data management picture within large enterprises. In order to take advantage of a potentially revolutionary technology, organizations don't need to rip out their existing infrastructure, but they do need to rethink their data hygiene so language models can underst
From NLP to LLMs: The Quest for a Reliable Chatbot
In this episode of AI + a16z, a16z General Partner Martin Casado and Rasa cofounder and CEO Alan Nichol discuss the past, present, and future of AI agents and chatbots. Alan shares his history working to solve this problem with traditional natural language processing (NLP), expounds on how large language models (LLMs) are helping to dull the many sharp corners of natural-language interactions, and
Best of the Year: Building AI Companies
A 2024 highlight reel, featuring founders sharing their insights, advice, and experiences building AI companies — from foundation-model labs to vertical applications. Topics include:Building AI tools for developersGetting into AI as a systems expertThe researcher-to-founder journeyFounding AI companies in specific industriesEarly lessons from selling AI agentsAnd moreCompanies include:AmbienceAnys
Can AI Agents Finally Fix Customer Support?
In this episode of the AI + a16z podcast, Decagon cofounder/CEO Jesse Zhang and a16z partner Kimberly Tan discuss how LLMs are reshaping customer support, the strong market demand for AI agents, and how AI agents give startups a a new pricing model to help disrupt incumbents.Here's an excerpt of Jesse explaining how conversation-based pricing can win over customers who are used to traditional seat
REPLAY: Scoping the Enterprise LLM Market
This is a replay of our first episode from April 12, featuring Databricks VP of AI Naveen Rao and a16z partner Matt Bornstein discussing enterprise LLM adoption, hardware platforms, and what it means for AI to be mainstream. If you're unfamiliar with Naveen, he has been in the AI space for more than decade working on everything from custom hardware to LLMs, and has founded two successful startups
Building Developers Tools, From Docker to Diffusion Models
In this episode of AI + a16z, Replicate cofounder and CEO Ben Firshman, and a16z partner Matt Bornstein, discuss the art of building products and companies that appeal to software developers. Ben was the creator of Docker Compose, and Replicate has a thriving community of developers hosting and fine-tuning their own models to power AI-based applications.Here's an excerpt of Ben and Matt discussing
The Best Way to Achieve AGI Is to Invent It
Longtime machine-learning researcher, and University of Washington Professor Emeritus, Pedro Domingos joins a16z General Partner Martin Casado to discuss the state of artificial intelligence, whether we're really on a path toward AGI, and the value of expressing unpopular opinions. It's a very insightful discussion as we head into an era of mainstream AI adoption, and ask big questions about how
Neural Nets and Nobel Prizes: AI's 40-Year Journey from the Lab to Ubiquity
In this episode of AI + a16z, General Partner Anjney Midha shares his perspective on the recent collection of Nobel Prizes awarded to AI researchers in both Physics and Chemistry. He talks through how early work on neural networks in the 1980s spurred continuous advancement in the field — even through the "AI winter" — which resulted in today's extremely useful AI technologies.Here's a sample of t
How GPU Access Helps AI Startups Be Agile
In this episode of AI + a16z, General Partner Anjney Midha explains the forces that lead to GPU shortages and price spikes, and how the firm mitigates these concerns for portfolio companies by supplying them with the GPUs they need through a program called Oxygen. The TL;DR version of the problem is that competition for GPU access favors large incumbents who can afford to outbid startups and commi
DisTrO and the Quest for Community-Trained AI Models
In this episode of AI + a16z, Bowen Peng and Jeffrey Quesnelle of Nous Research join a16z General Partner Anjney Midha to discuss their mission to keep open source AI research alive and activate the community of independent builders. The focus is on a recent project called DisTrO, which demonstrates it's possible to train AI models across the public internet much faster than previously thought pos
Balancing AI Expertise and Industry Acumen in Vertical Applications
In this episode of AI + a16z, Ambience cofounder and chief scientist Nikhil Buduma joins Derrick Harris to discuss the nuances of using AI models to build vertical applications (including in his space, health care), and why industry acumen is at least as important as technical expertise. Nikhil also shares his experience of having a first-row seat to key advances in AI — including the transformer
AI, SQL, and the End of Big Data
In this episode of AI + a16z, a16z General Partner Jennifer Li joins MotherDuck Cofounder and CEO Jordan Tigani to discuss DuckDB's spiking popularity as the era of big data wanes, as well as the applicability of SQL-based systems for AI workloads and the prospect of text-to-SQL for analyzing data.Here's an excerpt of Jordan discussing an early win when it comes to applying generative AI to data a
The Researcher to Founder Journey, and the Power of Open Models
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