This is a special video presentation from the prestigious Recode video conference.

In it, Cem Veksman, founder of the Vectoric, the maker of the Segment, explains how the segment, or “vector”, is a form of energy, which can be used for computing, communications, and so on.

The Vectric is a very simple device, and it can be designed with many different ways of interacting with it.

But what it has in common with a computer is the ability to “see” the space around it.

Cem explains the technology as if he were talking about a computer.

And the “seeing” of the space means that a computer can “read” the data from the vector, which is stored in the memory.

“If you can read it in a certain way, it can tell you what kind of vector is going to be used in a particular kind of application,” he says.

This is the same principle that lets us build a robot.

When we’re in the middle of programming a robot, it knows where to go and where to stop.

We’re just using a different way of describing space.

This allows us to build a computer with a different kind of intelligence.

We can say to it, “Go here, and then go here and now, and when you’re done, go here.”

If we wanted to do the same thing with a Vectore, we could just go to the VECTOR and get the same information as a computer, but this would be a mistake.

“You need to be able to say to a computer that the space you’re looking at is this way, and the space is this, and you’re just going to go to this place,” Cem says.

But you also have a space that’s a lot more complex than that. “

We have this idea that you have a computer which is designed to solve this problem.

But you also have a space that’s a lot more complex than that.

The way that we build a machine is not like this, where we build this computer and then say, “Oh, this is the way I think of the machine. “

So you’re building an object with a very high level of abstraction.

The way that we build a machine is not like this, where we build this computer and then say, “Oh, this is the way I think of the machine.

This object is this,” and then it just goes off and does all these calculations.”

We have to go into this object, understand the object, and make it do these things.

“That is not going to work for the VESTS [vectors].

We think of it as a kind of computer memory. “

To be able do that, you’ve got to think differently about how to think of space.

We think of it as a kind of computer memory.

It’s a memory that has a set of rules that you can apply to it.

We don’t want to be talking about, oh, this object has this function, and this object can interact with this object. “

But then we have to also make sure that the objects that we create are all objects that can be interacted with in this way.

We don’t want to be talking about, oh, this object has this function, and this object can interact with this object.

We have a list, but it’s kind of a collection of lists. “

Now, I don’t know if you guys remember, but when you look at the computer, it’s always just a list of objects.

We have a list, but it’s kind of a collection of lists.

If you have many things, you need to build the computer again, and again, until you have all of the information.” “

And the problem is, if you have one thing, then you’ve built the computer.

If you have many things, you need to build the computer again, and again, until you have all of the information.”

But there is an easy way to do that.

The computer will look at this list and say, Oh, this thing has a certain number of things, and I can think of this one, and my brain will figure out how to use that one.

If it can figure out that, in this case, the number one thing is that this thing is a number, then we’ve built that object.

If we build another object, we can then build it.

We just need to have a way of having those objects interact with one another.

And then you can build a new object that has these rules and these calculations, and all the other objects that have these rules can interact, too.

And when you do that in a machine, that computer will do this.

That’s how the VEUS [

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