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Speaker 1: pushing your vision forward. The conversation is starting to shift
Speaker 1: a little bit as people becoming more aware with AI,
Speaker 1: and it's going into the world of robotics. Like you
Speaker 1: just talked about large language models machine learning, but robotics
Speaker 1: is kind of picking up steam around conversations. We saw
Speaker 1: what happened with Tesla. Open AI has now created a
Speaker 1: humanoid that has come into inside the BMW plant and
Speaker 1: it's taking some jobs. How fast and how abruptly do
Speaker 1: you think humanoid or human robot? Well, the humanoid robot
Speaker 1: will be implemented and how I shouldn't say afraid, but
Speaker 1: how aware should we be that this is the next
Speaker 1: evolution of it.
Speaker 2: Well, you know, Elon Musk wants that to be his
Speaker 2: next you know, trillion dollar business right now. And the
Speaker 2: thing about the humanoid robots is the technology is already here.
Speaker 2: I think the process of adaptation is getting people to
Speaker 2: a point of normalcy with them, right you know, of course,
Speaker 2: you know, knocking out all of the bugs and the
Speaker 2: tinkering issues that's going to come along with you know,
Speaker 2: adopting robots in these environments. But we really looking at
Speaker 2: the next two to three years right for the rolling
Speaker 2: out of it and seeing how people respond and then
Speaker 2: the regulations that's going to come along with it. I
Speaker 2: think one of the bigger things when it comes to
Speaker 2: the robot, when it comes to AI period, is looking
Speaker 2: at regulation and how it's going to hurt small businesses
Speaker 2: because the people that the government is calling on to
Speaker 2: do the regulations is going to be the open AI
Speaker 2: is going to be the Microsoft, going to be these
Speaker 2: large companies that are building out these large language models
Speaker 2: and these large AI models, and they've already trained it
Speaker 2: on your data, they trained it on YouTube data, they
Speaker 2: trained it on all this data and then they're going
Speaker 2: to regulate it so that the average engineer coder can
Speaker 2: then go do the same thing, so that they won't
Speaker 2: be able to compete. So as we go into robots, yes,
Speaker 2: the robots are going to come and take mundane tasks
Speaker 2: oriented jobs, right, and quite frankly, in a lot of
Speaker 2: different situations they should. I think humans need to augment
Speaker 2: themselves and get deeper into what it means to be human.
Speaker 2: But in some of these things is going to get
Speaker 2: dystopian because they don't really care about people. It's a
Speaker 2: profit based system. They're going to be doing a lot
Speaker 2: of factory work, right, They're going to be doing a
Speaker 2: lot of low paying job work. And you know, Donald
Speaker 2: Trump called it black and Hispanic jobs. You know what
Speaker 2: I'm saying, The robots are going to be the ones
Speaker 2: come and taking those black and Hispanic jobs. The AI
Speaker 2: is going to be the one come and taking those
Speaker 2: black and Hispanic jobs. So you ain't got to ware
Speaker 2: about no immigrant to anything else, you feel me. The
Speaker 2: thing that you should be focused oning is how do
Speaker 2: you prepare yourself in a future where AI and robots
Speaker 2: and quantum computers exist? Because focusing on slowing it down
Speaker 2: is not going to change anything. Focusing on preparing for
Speaker 2: it right, developing the skills, thinking about the new businesses,
Speaker 2: the new services that will be needed in that future.
Speaker 2: Humans will always be needed, right, We don't even want
Speaker 2: the future to wear it's a complete matrix and machines
Speaker 2: running everything. Humans will always be needed. I think that's
Speaker 2: the thing that we need to focus on. But yes,
Speaker 2: robots are here, right, And for me, thinking about the
Speaker 2: future is only prepared for it. It's not being scared
Speaker 2: of it. It's not having this fearful idea of it.
Speaker 2: None of that. We have to decolonize our minds of
Speaker 2: the future and asks ourselves what do we want it
Speaker 2: to be, because then we also determine the future by
Speaker 2: planning for it. So how would we use robots is
Speaker 2: the question?
Speaker 3: Right?
Speaker 2: What value could they bring to us? And I'm not
Speaker 2: in a deep necessity for robots because I think that
Speaker 2: the task that robots do are you know, very factory
Speaker 2: and they're going to be super expensive. So the average
Speaker 2: person is not going to be using those type of robots.
Speaker 2: Average person's going to be using home robots. And I
Speaker 2: looked at the CS show and looking at the ones
Speaker 2: that they're rolling out. They're talking about simple tasks within
Speaker 2: the home that people are going to be using the
Speaker 2: robots for. People are going to be using companion robots
Speaker 2: right for loneliness. That's happening with people today, and I
Speaker 2: think that's probably going to be one of the biggest
Speaker 2: use cases for the average person because loneliness is on
Speaker 2: the rise. The average mail out here is lonely. They
Speaker 2: ain't got nobody, right, and so you know, I see
Speaker 2: people becoming friends with robots and building companionship and that
Speaker 2: being one of the biggest retail aspects of the robot industry.
Speaker 4: That's a fact. We'll bring Ian up for a question.
Speaker 4: But while we bring waiting for Ian. You know, it's
Speaker 4: crazy you say that becausehen We we was in Davos.
Speaker 4: They had this guy who dropped out of Harvard and
Speaker 4: he created an uh an app for companionship AI companionship
Speaker 4: and he received raised a bunch of money in his
Speaker 4: seed round and that was the whole purpose of it
Speaker 4: is as far as being a companion he kind of
Speaker 4: explained why AI companionship was needed, and it was so yeah,
Speaker 4: no matter how you feel about it, that's something that's real.
Speaker 4: But Ian you did, and.
Speaker 3: They got our only fans Ai companion app already. Yeah.
Speaker 1: I think it's called uh. I think it's called slow.
Speaker 1: I wrote it down in my notes when I saw it.
Speaker 1: I said, I'm gonna remember this one. But it's spelled
Speaker 1: with an X so x O U L.
Speaker 3: It's on you man, keys, my brother, how are you?
Speaker 3: I wish I could uh, you know my action was
Speaker 3: a little bit better. Man, Good to have you here.
Speaker 3: But but I do think automation, of course is needed.
Speaker 3: We talked about this before, maybe two or three years ago,
Speaker 3: and like you said, I don't think we need to fear.
Speaker 3: We need to find out where to use it because
Speaker 3: the truth is that these software and systems and hardware,
Speaker 3: they're going to be here regardless, and there are going
Speaker 3: to be the next sectors that really dominate the mark.
Speaker 3: I don't know what a open Ai would be worth
Speaker 3: when it goes public, but it will easily enter that
Speaker 3: top ten, top eleven. So we just have to find
Speaker 3: a way to be able to use it and integrated,
Speaker 3: because they're going to make sure that that technology is
Speaker 3: here in our lives the same way that the iPhone
Speaker 3: came in in two thousand seven eight nine and dominated
Speaker 3: our lives from there.
Speaker 4: That's a fact.
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