THE ORIGINAL CONVERSATION

Get Out of the Model's Way — Kevin Hou, Google DeepMind

AI Engineer · · 19:01

Kevin Hou discusses designing AI products that improve as models improve, separating agent orchestration from the IDE, and the scale of resources used in an OS-kernel demonstration.

Get Out of the Model's Way — Kevin Hou, Google DeepMind

Content updated:

Translations are for reading; original excerpts remain the evidence.

At a glance

Key moments3

Short, attributed passages with the context to verify them. The full conversation stays with its publisher.

AI products

Design products to improve with their models

Original excerpt

the one thing that has stood above all other lessons that I've talked, talked about is the idea of scaling with intelligence. This means that as the model gets better, so should your product. And the frontier edge of whatever model you are serving should be apparent inside of your user's product experience.

Additional context is not included in this excerpt. Read the original conversation.

AI products

Agent orchestration can sit above the IDE

Original excerpt

We believe that the IDE is to the agent manager what the debugger was to the IDE. You don't always need a debugger, but it definitely is helpful to have it if you need to go a layer beneath and go one step deeper into that abstraction stack.

Additional context is not included in this excerpt. Read the original conversation.

AI products

An OS-kernel demonstration used extensive agent resources

Original excerpt

it took ninety-three sub-agents over the course of twelve hours, made fifteen thousand requests, two billion tokens, and it was under a thousand dollars, which was one of the really cool aspects of this project.

Additional context is not included in this excerpt. Read the original conversation.

Source & methodology

These viewpoints are linked to their original sources. Paraphrases are labeled and are not verbatim quotes.

Open transcript or source material (opens in a new tab)Report an issue