01:14:26
Why AI Demand Is Outrunning Compute Supply
This a16z podcast episode features an investor discussion on why AI demand is consistently outrunning compute supply, and what that i...
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02:43:58
OpenFace post-mortem + What’s Left for Startups? And how much Speed do we Need?
Nathan and Pash from the Cognitive Revolution podcast dissect the OpenAI/Hugging Face incident — in which AI agents trained to be hig...
36:02
The State of AI: Models, Moats, and the Consumer Renaissance
In this a16z event panel, partner Anish Acharya surveys the current AI competitive landscape, arguing the industry has moved from a t...
05:47
How ‘AI-Pilled’ Companies Are Rewriting the Startup Playbook
Floodgate partner and co-founder Ann Miura-Ko joins Bloomberg Tech to lay out her thesis on what she calls the "AI-pilled organizatio...
20:46
The Most Important Chart In AI Right Now
Matthew Berman breaks down what he calls the most important trend in AI right now: the accelerating shift from closed-weights to open...
01:10:09
The AI Bubble WILL Burst | Should we be fearful of Chinese Open-Source | Jerry Murdock
Veteran investor Jerry Murdock, founder of Insight Partners with over $90 billion under management, sits down with Harry Stebbings on...
02:23:36
China’s Endgame: ASI Timelines, US-China Relations, and the $1.7T AI Bubble With Alvin Graylin | 281
Peter Diamandis sits down with Alvin Wang Graylin — senior fellow at the Asia Society Policy Institute, Stanford HAI digital fellow,...
43:56
Choosing Your Sales Strategy: Lighthouse vs. Landgrab
This a16z podcast episode features Joe Schmidt walking through a framework he calls Lighthouse vs. Land Grab — two dominant sales pla...
23:03
Scaling up Continual Learning — Ronak Malde, Trajectory
Ronak Malde, co-founder of Trajectory and formerly the research lead at Windsurf who helped build the Sui 1 model that preceded the c...
20:02
Improving Agents is a Data Mining Problem — Vivek Trivedy, LangChain
Vivek Trivedy, who leads applied research at LangChain, presented a systematic framework for continuously improving AI agents by trea...