Aaron Levie、Steven Sinofsky 与 Martin Casado：如何保障 AI 智能体世界的安全？

Erik Torenberg sits down with Box CEO Aaron Levie, and a16z’s Martin Casado, and Steven Sinofsky to debate how the AI industry should think about safety, security, and regulation as increasingly capable agents move into the real world.

They argue that much of today’s conversation is happening before we have clearly defined the risks we’re trying to regulate. Drawing on earlier waves of computing, from computer viruses and the early internet to aviation and automobiles, they ask what AI can learn from industries that developed safety standards only after understanding how their technologies actually failed.

The conversation then gets concrete: agents don’t get tired, can operate at enormous scale, and can probe systems in ways human employees never could. That could require rethinking permissions, authentication, operating systems, and the security stack itself. They also discuss why AI innovation may increasingly move beyond the frontier labs and into the software built around the models.

Aaron Levie

is the co-founder and CEO of the enterprise cloud company Box.

Martin Casado

X; Linkedin

is a general partner at Andreessen Horowitz, where he leads the firm’s infrastructure practice.

X; Linkedin

Investing in TypeSafe AI Jennifer Li, Sarah Wang, Martin Casado, Marc Andreessen, and Ben Horowitz; Investing in doxxnet Joel de la Garza and Martin Casado; AI Can Write Code. Why Isn’t Software Better? Diogo Almeida, Ben Horowitz, and Martin Casado; Databricks CEO on AI Pacing, Cyber Risk, and the Enterprise Ali Ghodsi, Martin Casado, and Sarah Wang; Fei Fei Li: The Race to Build World Models For AI Fei-Fei Li, Justin Johnson, Ben Mildenhall, and Martin Casado

Steven Sinofsky

Linkedin

is a board partner at Andreessen Horowitz.

Linkedin

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Erik Torenberg

is a general partner at Andreessen Horowitz, where he focuses on investing and running our marketing & ecosystem orgs.

The a16z Show discusses the most important ideas within technology with the people building it. Each episode aims to put listeners ahead of the curve, covering topics like AI, energy, genomics, space, and more.

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