Computer-use models will agentify the web, not APIs

Official Schedule Context

We are rushing towards a world where every single digital surface (email, calendar, messaging, …,

every desktop app, every phone app, every web app) that was previously meant for humans is now

managed by AI agents. Of course, there are technical challenges to be solved: - Model context

windows haven’t increased in 2 years. And the digital world is OOMs bigger (the ultimate “big world

hypothesis”) anyway, so how does one architect this? - A large part of the digital world (most of

the web) does not have APIs available and requires agents to act like humans (consume pixels, output

keyboard/mouse actions). - Human preferences and the digital world change, and require agents to

maintain a dynamic memory and continually learn. But even if we could solve these problems, what

does this world look like? - The digital world, particularly the web, was built for human

consumption (and is often hostile to bots). - For a while to come, we will be sharing the digital

roadways with these digital robots. - What does end-to-end encryption and privacy mean when the

other “end” of the communication is an AI agent? The Yutori team has spent the last year building

the world’s best computer use model (slightly better than Opus 4.6 and GPT 5.4 while being 2x faster

and 4-5x cheaper on browser use tasks), converted the web into a webhook with Scouts (agents that

monitor the web 24/7 for anything you care about), and are now releasing Yutori agent that expands

from the open web to your most common digital surfaces. This talk will be grounded in Yutori’s

learning from what it takes to build agents that are always on, taking us one step closer to the

world where every digital surface is their playground.

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

Pending transcript synthesis when an official recording or confirmed matching video is available.