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17 results for “human computer interaction”
...was part of human computer interaction as well that BJ Fogg had sort of created, which was noticing that we applied some of the same social rules
0:47 / 1:51
from transcript0:47 – 1:51
...part of human computer interaction as well that BJ Fogg had sort of created, which was noticing that we applied some of the same social rules to computers that we did to individuals, right? If this computer was really kind of critical, sometimes we t
1:32 / 2:39
from transcript1:32 – 2:39
...interaction work that we've been doing is actually motivated by this challenge where we think it's really important for humans to be able to kind of provide input for how they want the robot to behave and what they want the robot to do, how they want
14:16 / 15:22
from transcript14:16 – 15:22
...human in the loop to be the final decision maker, and that's great. I think that's, like, the natural way in which this will evolve. I could imagine a world in which the power user is basically taking a lot of extra effort to train whichever AI app i
4:22 / 5:34
from transcript4:22 – 5:34
...every interaction we have. But that's a natural cycle to be in. And I think it's good. It's healthy to have sort of that almost mania around what couldn't do. Because if you don't have that, then you don't get to find out. And so I I I'm supportive o
21:44 / 22:55
from transcript21:44 – 22:55
...hairs that get close to individual neurons, and that's the highest level of resolution that you can have when you're recording from the brain. The more neurons you can record from, the higher the data rate of the device, and we'll talk a little bit a
2:13 / 3:18
from transcript2:13 – 3:18
...manage human AI interaction, incentives, governance, control. This is why we pay attention to weird projects early. They're not weird. They're just early. AI hiring humans, AI hanging out with other AIs, AI forming societies before we even notice. Th
3:00 / 4:04
from transcript3:00 – 4:04
...the interactions we have with our computers are gonna be much more natural the way our brains are wired process information. Right? Like, you know, like using a keyboard and a mouse, it's natural to all of us today because we've, you know, we we kind
53:16 / 54:18
from transcript53:16 – 54:18
...new kind of interaction paradigms that you might wanna create with those models. I feel like we are bottlenecked by, like, human creativity on, like, completely changing the way we think about the Internet or, like, some of the the way we think about
1:06:40 / 1:07:47
from transcript1:06:40 – 1:07:47
...more natural human interaction with our computers, which means the technology has to get more and more sophisticated while it gets more and more invisible. So I got very interested in voice and gesture and the way that you and I are interacting now.
26:57 / 28:06
from transcript26:57 – 28:06
...human form factor. And so maybe it'd be easier to mimic humans, and I've actually heard people make those arguments. But, if you've ever actually tried to teleoperate a humanoid, it's actually a lot harder to teleoperate than Mhmm. Than a static mani
15:04 / 16:08
from transcript15:04 – 16:08
...gonna be the interaction? Like, how are we going to be interacting with these applications? I do have a few ideas around hardware, and I'm not a hardware person at all, but I'm a hardware user like all of us. So I get to have opinions, I think. I thi
45:45 / 46:46
from transcript45:45 – 46:46
...And, I think it's very important though that we remember that as when we're immersed in the technology and the the research. I think a lot of researchers that I see in in our field are a little bit too narrow and only understand the technology. And I
2:01:26 / 2:02:38
from transcript2:01:26 – 2:02:38
...is that the interactions we have with our computers are gonna be much more natural the way our brains are wired process information. Right? Like, you know, like using a keyboard and a mouse, it's natural to all of us today because we've, you know, we
52:24 / 53:31
from transcript52:24 – 53:31
systems. Shouldn't it be something more like minority report where you're you're sort of vibing with it in a in a co in a kind of collaborative way? Right? It seems very restricted today. I think we'll look back on today's interfaces and products and
1:32:58 / 1:34:00
from transcript1:32:58 – 1:34:00
...interaction, competition, cultural memory. Humans then get smart alone. We got smart together. Multbook is effectively a coordination layer, a memory layer, a social graph for nonhuman intelligence. This is how ideas spread. This is how norms form, a
2:13 / 3:17
from transcript2:13 – 3:17
that we just kept seeing the models get. And so we felt like there must be an interface problem. When people look at a command line or a chatbot, they really just see search, writing tool, maybe I can talk to this. But if you think about that, that's
3:00 / 4:05
from transcript3:00 – 4:05
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