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Matt Bornstein speaks with Mirendil cofounders Behnam Neyshabur and Harsh Mehta about their vision for building self-accelerating AI.
After leading research efforts at Google and Anthropic, the founders started Mirendil around a simple question: what happens when AI systems can meaningfully contribute to their own development? Rather than focusing solely on AI as a tool for productivity, they argue that the most important application may be accelerating scientific and technological progress itself.
The conversation explores AI research, scaling laws, automated engineering, scientific discovery, and the challenges of building systems that can improve over time. They discuss the future of AI-assisted research, why they believe scientific progress remains bottlenecked by intelligence, and how more capable AI systems could help unlock advances across medicine, engineering, and the natural sciences.
Resources:
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Yoko Li and Justine Moore speak with Ideogram founder and CEO Mohammad Norouzi about image generation models, design workflows, and the evolving relationship between AI and creative work.
The conversation covers Ideogram's decision to release an open-weight model, the challenges of generating text and layouts within images, and why controllability has become an increasingly important area of research. They discuss prompting, customization, editing, and the tradeoffs between general-purpose models and systems optimized for specific creative tasks.
Along the way, Norouzi shares his views on open-source AI, design tools, agentic workflows, and how image generation models may evolve as creators and enterprises seek greater control over their outputs.
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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Saknas det avsnitt?
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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 foundational layer for the emerging agent economy.
Along the way, Bryk shares his views on AI-native products, the future of information discovery, and why some of the most important problems in technology can ultimately be framed as search problems.
Resources:
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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 of record, and why businesses still need centralized data foundations even as agent-based workflows become more common.
Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate products.
Resources
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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.
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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 advantage in AI, and how founders can think about product, research, and go-to-market in a rapidly evolving landscape. Jennifer also shares her perspective on creative tools, the role of AI in storytelling, and what the next phase of the ecosystem may look like.
This episode originally aired on the GTMnow Podcast.
Resources:
Follow Jennifer Li on X: https://x.com/JenniferHli
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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 retrieving and reasoning over data, why that approach is inefficient, and how moving reasoning closer to the data can dramatically improve performance, accuracy, and cost. Ash also explains how Pinecone is rethinking the stack for agentic applications, introducing new abstractions, query languages, and developer workflows.
Resources:
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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:
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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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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 will be the best writers.
Resources:
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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 AI adoption.
Resources:
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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 aired on Cursor's podcast.
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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 no incentive to make their services agent-friendly.
Resources:
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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 and the move from pattern matching to understanding cause and effect.
Resources:
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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. This episode originally aired on The Jack Neel Podcast.
Resources:
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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 Evolution of a16z
7:00 Specialization
10:32 Value of Distribution
13:16 Staying Power in Infrastructure
19:49 The Conflicts Dynamic
26:32 State of Play in AI
30:48 The Future of Coding
34:58 Significance of Open Source
39:48 Marc Andreessen’s Leadership
44:02 The Only Sin in VC
48:37 Scaling a Lot of Board Seats
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.
Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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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 between perception and reality has never been wider.
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Listen to more from Latent Space: https://www.youtube.com/@LatentSpacePod
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Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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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 from interactive to background agents is creating distributed systems challenges at a scale that didn’t exist two years ago.
Resources:
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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 agents.
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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 from here.
Follow Sam on X: https://x.com/sama
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Learn more about OpenAI: https://openai.com/
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- Visa fler
