Kieran Kunhya

And when you're controlling a robot, a robot is going to have like two cameras, five cameras, 10 cameras, a ton of captors, GPS, and so on.

And if you want to train correctly your robotic AI model, you need to have all those that are in sync and currents.

And what we've done, and it's all the stuff that we learn on VLC in broadcast in real time and MPEG-TS that Kieran knows well, is that we account for clock drifting.

And so

When I record a KyberStream, a robot, I am sure that it's going to be predictive in the way you play it back.

And so when you're going to do recording and training of your AI model, you need to be sure that every time you retrain based on the data, the data is going to stay coherent.

And clocks actually drift.

Like the existing solution works with one camera.

Once you're going to a five or six, it's more complex.

Exactly.

And also, if you're going to control, right, I do something on robot, I need to be sure that it is actually happening at that precise time, right?

And so we have on the server, which would be a robot, a time of like re-timestamping mechanism accounting for clock drift for that, right?

So that's one of the use case of Kyber to control robots.

I also think like remote...

drones remote whether it's defense or non-defense remote cars remote submarines there is many places industry or remote surgery where the experts cannot go everywhere the machine is because it's a dangerous or it's too costly right so you you allow people to have machines

next to you, right?

The goal of Kyber is to make distance disappear because it is a projection of skills or projection of power, right?

So imagine we are all like you've seen the Meta Reba and everyone else, right?

You need to stream there, right?

Because you're not going to run anything over there, right?