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17 results for “ai human connection”
...human emotions are nested. So it's like it's reasoning through how humans feel emotions. It's reasoning about meta emotions. Gonna have pages and pages of this. It's almost too much to actually read, but it's nice to skim as it's coming. It's stream
32:56 / 34:12
from transcript32:56 – 34:12
You know, those all those listening skills that we're talking about, the bot's been trained by them. So I say, it's like, oh, I'm feeling sad. Oh, it must be hard to feel sad. But what it lacks is the ability for us to serve, for the ability for us t
29:16 / 30:22
from transcript29:16 – 30:22
...like, safety, connection. So people, you know, there's the companionship apps and things like that. Tamagotchi was one of the first, like, sort of, you you have this virtual pet. What we're trying to do with with borizo vasopressin is an interesting
37:27 / 38:34
from transcript37:27 – 38:34
...emotion. The most famous is Plutchik's wheel. If, I were to magically flash up an image in people's minds, they would recognize it. But essentially, it has different emotions that are across from each other. For example, joy is the opposite of grief.
42:41 / 43:51
from transcript42:41 – 43:51
...how humans feel emotions. It's reasoning about meta emotions.
32:15 / 33:15
from transcript32:15 – 33:15
you know, how do humans work. Right? My my, my undergrad, I I said engineering, systems engineering, but I did a a focus on simulating neurobiological systems. So I studied a lot of, like, physiological psychology. How do our neurotransmitters? How d
36:44 / 37:47
from transcript36:44 – 37:47
...humans can't, like whether you're a therapist or whether you're a doctor. And the interesting question is where it stops. So it's really good at cognitive empathy, but it can't do what we call somatic empathy. So there's no physical response. Mhmm. D
26:57 / 28:01
from transcript26:57 – 28:01
And I don't know whether when you hear that, like, Ellie's laughing. I don't know whether Saroy is thinking, like, is that a market I can, like but are we gonna need to train all of the agents that are everywhere to be more understanding about, you k
20:55 / 22:11
from transcript20:55 – 22:11
You as the leader or as the engineer, who is getting, direction, you already have some preset view that this is my idea. That's an emotional, you know, that's an emotional construct, and it's it's it's around ownership and feeling of ownership. So, y
1:15:40 / 1:16:47
from transcript1:15:40 – 1:16:47
very tangent practically, functionally, you call them functional needs, and then also emotional needs. Are people trying to feel, happy, sad? What are within that bucket, actually, I'm gonna take a quick tangent. When you think about emotional needs,
40:27 / 41:40
from transcript40:27 – 41:40
...somewhat like a human. There's a third order you could go up as well, but, like, that's that's basically what I would be interested in is, like, the underlying dynamics of its learning processes and and how its goal states shift over time. I think th
47:57 / 49:09
from transcript47:57 – 49:09
But with my friends, abysmal. So my point is I'm learning the skills for work and I'm not applying them to friendship. I'm learning the skills in a marriage, but I'm not applying them to friendship. We fail to recognize that they need nurturing and i
28:30 / 29:34
from transcript28:30 – 29:34
that they are better facilitator or they are a better leader or just feel a better version of themselves. This could be a potential emotional motivator. So it can range depending on the type of the product or the industry, but, actually, emotions cou
41:15 / 42:16
from transcript41:15 – 42:16
...of we're humans, AI is not changing the way our brains work, so, like, it's the same? First, I want to touch on this this concept of empathy because I think this is a really good example of what I mean about there being, like, questions we want to an
21:45 / 22:51
from transcript21:45 – 22:51
And so they're bad at all this theory of mind stuff. And so how do you learn theory of mind? Well, you put them in in simulations and contexts where they have to cooperate and compete and and collaborate with other AIs. And that's how they get points
54:42 / 55:49
from transcript54:42 – 55:49
Your point about emotions was extremely interesting, and I wanna make sure people don't take away the wrong takeaway here. So what I actually found really helpful, which I think is aligned with what you were suggesting is taking emotions out of it. T
1:14:56 / 1:16:06
from transcript1:14:56 – 1:16:06
“Why designers will be the next winners in the AI coding revolution”
a betting man, as they say, I'd bet that the next class that wins our designers. Because we're training these tools to be more clear, to be better, to make better technical decisions. I don't think we
58:29 / 59:04
prediction58:29 – 59:04
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