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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.

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103 episodes
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English

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#22
Sep 13, 2024 · 42 min
Balancing AI Expertise and Industry Acumen in Vertical Applications
Ambience cofounder and chief scientist Nikhil Buduma discusses 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.
#21
Aug 30, 2024 · 33 min
AI, SQL, and the End of Big Data
MotherDuck cofounder and CEO Jordan Tigani discusses 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.
#20
Aug 16, 2024 · 37 min
The Researcher to Founder Journey, and the Power of Open Models
Black Forest Labs founders Robin Rombach, Andreas Blattmann, and Patrick Esser sit down with a16z general partner Anjney Midha to discuss their journey from PhD researchers to Stability AI, and now to launching their own company that emphasizes open models.
#19
Aug 9, 2024 · 47 min
Why Computer Science Subsumed Biotech
a16z General Partner Vijay Pande walks us through the past two decades of applying software engineering to the life sciences — from the Folding@Home project that he launched, through AlphaFold and more. He also discusses the major opportunities for AI to transform medicine and health care, as well as some pitfalls that founders in that space need to watch out for.
#18
Aug 2, 2024 · 44 min
Democratizing Generative AI Red Teams
PromptFoo founder and CEO Ian Webster discusses the importance of red-teaming for AI safety and security, and how bringing those capabilities to more organizations will lead to safer, more predictable generative AI applications.
#17
Jul 26, 2024 · 40 min
Augmenting Incident Response with LLMs
Command Zero cofounder and CTO Dean de Beer discusses the benefits of training large language models on security data, as well as the myriad factors product teams need to consider when building on LLMs.
#16
Jul 19, 2024 · 37 min
Scaling AI for the Coming Data Deluge
Anyscale cofounder and CEO Robert Nishihara discusses the challenges of training and running AI models at scale; how a focus on video models — and the huge amount of data involved — will change generative AI models and infrastructure; and the unique experience of launching a company out of the UC-Berkeley Sky Computing Lab (the successor to RISElab and AMPLab).
#15
Jul 5, 2024 · 33 min
ARCHIVE: The Dream of AI Is Alive in AlphaGo
In this archive episode from 2015, a16z's Sonal Chokshi, Frank Chen, and Steven Sinofsky discuss DeepMind's breakthrough AlphaGo system, which mastered the ancient Chinese game Go and introduced the public to reinforcement learning.
#14
Jul 3, 2024 · 1 hr 5 min
Beyond Language: Inside a Hundred-Trillion-Token Video Model
Luma Chief Scientist Jiaming Song joins a16z General Partner Anjney MIdha to discuss Jiaming's esteemed career in video models, culminating thus far in Luma's recently released Dream Machine 3D model that shows abilities to reason about the world across a variety of aspects.
#13
Jun 21, 2024 · 37 min
Developer Tool UX in the Age of Generative AI
Design engineer Alasdair Monk shares his takes on how generative AI and LLMs are changing the way software developers — and the people building tools for them — do their jobs.
#12
Jun 14, 2024 · 43 min
Building Production Workflows for AI Applications
Inngest cofounder and CEO Tony Holdstock-Brown discusses the reality and complexity of running AI agents and other multistep AI workflows in production, and why developer tools for generative AI — and their founders — might look very similar to previous generations of these products.
#11
Jun 7, 2024 · 37 min
The Future of Image Models Is Multimodal
Ideogram CEO Mohammad Norouzi shares his story of growing up in Iran, helping build influential text-to-image models at Google, and ultimately cofounding and running an AI startup. He breaks down the differences between transformer models and diffusion models, as well as the transition from researcher to startup CEO.
#10
May 24, 2024 · 1 hr 5 min
ARCHIVE: Open Models (with Arthur Mensch) and Video Models (with Stefano Ermon)
For this holiday weekend (in the United States) episode, we've stitched together two archived episodes from the a16z Podcast, both featuring General Partner Anjney Midha. In the first half, from December, he speaks with Mistral cofounder and CEO Arthur Mensch about the importance of open foundation models, as well as Mistral's approach to building them. In the second half (at 34:40), from February, he speaks with Stanford's Stefano Ermon about the state of the art in video models, including how
#9
May 17, 2024 · 40 min
Open Models and Maturation: Assessing the Generative AI Market
a16z's Guido Appenzeller and Matt Bornstein discuss the state of the generative AI market, about 18 months after it really kicked into high gear with the release of ChatGPT — everything from the emergence of powerful open source LLMs to the excitement around AI-generated music.
#8
May 15, 2024 · 22 min
Security Founders Talk Shop About Generative AI
Founders Dean De Beer (Command Zero), Kevin Tian (Doppel), and Travis McPeak (Resourcely) share their thoughts on generative AI, as well as their experiences building with LLMs and dealing with LLM-based threats.
#7
May 10, 2024 · 37 min
How to Think About Foundation Models for Cybersecurity
a16z's Zane Lackey and Joel de la Garza discuss the state of the cybersecurity market vis a vis generative AI, foundation models, and large language models — and explain why 2024 could be a watershed year for security teams.
#6
May 3, 2024 · 38 min
Securing the Software Supply Chain with LLMs
Socket's Feross Aboukhadijeh joins a16z's Joel de la Garza to discuss the state of security for the open-source software supply chain, including how large language models can help both developers and security teams identify issues.
#5
May 1, 2024 · 33 min
ARCHIVE: GPT-3 Hype
In this bonus episode from the a16z Podcast archives, set your wayback machine to the seemingly long ago summer of 2020, and enjoy a16z’s Sonal Chokshi and Frank Chen discussing GPT-3 and the advent of commercially available LLMs.
#4
Apr 26, 2024 · 36 min
Vector Databases and the Power of RAG
Pinecone Founder and CEO Edo Liberty discusses the promises, challenges, and opportunities for vector databases and retrieval augmented generation (RAG). He also shares insights and highlights from his decades-long career in machine learning.
#3
Apr 19, 2024 · 38 min
Remaking the UI for AI
a16z General Partner Anjney Midha shares his perspective on how hardware for artificial intelligence will improve —especially at the inference layer — and what that means for how we'll build, train, and interact with AI models.

Showing 81–100 of 103 episodes