AI will split into two directions: physical AI through humanoid robots and a digital AI-human symbiosis where a personal AI assistant knows everything about your life and acts on your behalf.

3:13learning works and everything's happening faster than I would have think and my like you know having done like 15 years of like software and internet like it was just like nothing was happening faster on a trend line here it's happening like that in AI >> can you give an example of something that has happened that's blown you away >> we started at so harkc I have a new AI

3:32lab called hark about a year ago I was like very interested in this idea of like kind of building this AI to human symbiosis digitally it's like Um, figure is going to be like I think figure is going to be like the max ceiling of AGI of like being able to put that out and then there's going to be a version of this in the digital world. It's going to

3:48be like a human is going to have this like AI pairing. It's going to have like ultimately maybe your own AI weights, your own memories, maybe your own hardware. It's going like really close. And fundamental to that thesis was like you got to figure out how to get AI to use computers general purpose. You would never hire an assistant that couldn't use a computer. So you got to be able to

4:04like give things out to it that can like do everything you can do. financial models, book flights, like order Door Dash, whatever you need to do, you need to be able to do it all autonomously, but only one in a thousand websites have APIs. So, in most, you know, glo like most computer use globally is on the on the internet and browser. My my main inclination within two or three years,

4:23you'd have a system that you'd be able to talk to and say, "Go do this or do that." And to be able to like go off go online and like maybe maybe like use the internet really well like almost like a robot would where you can like move the mouse and use the keyboard. That's what you have to do to solve like general purposeness for around a computer is you

4:38you can't rely on API or MCP. You have to figure out how to like navigate like a human can. Now at Hark, we've like we just released our first uh kind of model and research preview um last week. It's really hard for us to find now something that we tell it to go do on the internet. It can't do. >> What did you guys do differently than

4:57the other because everyone's trying to do computer use, right? So like I think Elon's got macro hard and chatd had their computer use thing. Everybody's doing it. You guys feel like you've cracked something. What did you guys do differently? >> Okay, there's a couple things we did a little differently. First is like everybody's tackling this from like using APIs and MCPs. Like the reason Open Claw got so great, it was like it

5:15could only it couldn't use the brows. It couldn't like go on and use Door Dash end to end because Door Dash has no consumer API. So we tried to figure out how to use like a how to look at a screen and one is we spin up a virtual computer for every agent. So they don't need like a MacBook or anything. So you can just spin up as many of these