AI + a16z a16z

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.

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.

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 OpenAI's Sora might work under the hood.

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.

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.

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.