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7 results for “multidimensional mapping”
their representation of the world is one dimensional. So these things fundamentally operate on a one dimensional sequence of tokens. So this is a very natural representation when you're talking about language because written text is a one dimensional
25:22 / 26:32
from transcript25:22 – 26:32
as well as allow the level of interactivity that we eventually hope to be as, you know, complex as how humans can interact with the world. So that's the grand vision of spatial intelligence as well as the the kind of world models we we, see. Marble i
30:44 / 31:57
from transcript30:44 – 31:57
So even if you at the end of the day, you might be seeing a two d image or a two d video, your brain is perceiving that as a projection of a three d world. So there's things you might want to do, move objects around, move the camera around. In princi
28:20 / 29:32
from transcript28:20 – 29:32
We can multimodal inputs of, marble, what are the kind of, editability, which is, you know, allows user to be interactive with the model, and what are, the kind of outputs we can have. Yeah. So so marble, like, basically, one way of looking at it, it
31:29 / 32:48
from transcript31:29 – 32:48
What can we share more about how it works or what the breakthrough is or what's worth commenting on the technology? To Martin's point, does it need to be three d, or why can't you just use two d? I think you can do a lot of things using two d, but th
17:14 / 18:19
from transcript17:14 – 18:19
That kind of example shows how incredibly profound space and three d world is. Let's paint even more of a picture. When World Labs has achieved its vision or Language 101 has achieved their vision, what are some applications or use cases that we can
12:43 / 13:50
from transcript12:43 – 13:50
So you have two neurons, you think there's five concepts, so you expand it to, like, I think of dimension five, and then you contract it back to what it was. That's, like, the model you're training, and then you're training it to incentivize it to be
39:04 / 40:04
from transcript39:04 – 40:04
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