Latest / The Bill Handel Show / ‘Tech Tuesday’ with Rich DeMuro | Tesla Robot Army

Transcript

‘Tech Tuesday’ with Rich DeMuro | Tesla Robot Army · The Bill Handel Show

• 0:01
  Speaker 1: You're listening to Bill Handle on demand from KFI AM
• 0:05
  Speaker 1: six forty.
• 0:07
  Speaker 2: I am six forty Bill Handle here on a Tuesday morning,
• 0:12
  Speaker 2: November eighteenth. Big story is this morning Mike Johnson, and
• 0:17
  Speaker 2: the Speaker has said that the Republicans will vote for
• 0:22
  Speaker 2: mandating that Justice Department release the Epstein files. The President,
• 0:27
  Speaker 2: having fought for months not to release it release the files,
• 0:32
  Speaker 2: is looking at an overwhelming defeat and so he changed
• 0:36
  Speaker 2: his mind and he is now saying, oh, yeah, yeah,
• 0:39
  Speaker 2: I want to release the file.
• 0:40
  Speaker 3: It's become his idea to release the files. What do
• 0:44
  Speaker 3: you do with that?
• 0:46
  Speaker 2: And Marjorie Taylor Green, who has fought him, is she
• 0:49
  Speaker 2: still a trader?
• 0:50
  Speaker 3: Now?
• 0:53
  Speaker 2: I don't know the answer to that. Okay, let's move
• 0:56
  Speaker 2: on to Tech Tuesday. We're gonna have a good time
• 0:58
  Speaker 2: with that.
• 0:59
  Speaker 3: And it all has to do with you going broke,
• 1:01
  Speaker 3: bankrupt and wanting to kill yourself. In a minute, Rich tomorrow,
• 1:05
  Speaker 3: Good morning, Rich.
• 1:06
  Speaker 1: When you set it up like that, we are going
• 1:08
  Speaker 1: to have some fun.
• 1:10
  Speaker 2: You bet. I love death, I love diseases. And stock
• 1:14
  Speaker 2: market is down six hundred points, isn't it. So people
• 1:18
  Speaker 2: have a lot of stocks, including me, are looking at
• 1:21
  Speaker 2: this and I'm about to jump off.
• 1:23
  Speaker 3: Of the our parking structure and take a swan dive, but.
• 1:27
  Speaker 1: Oh my gosh, don't do it. But bitcoin is the
• 1:30
  Speaker 1: same way bitcoin is. Bitcoin crashed yesterday, so it's just
• 1:33
  Speaker 1: a sign of the times with the markets right now.
• 1:36
  Speaker 2: Okay, so let's talk about bitcoin crashing. I never thought
• 1:40
  Speaker 2: when bitcoin hit twenty thousand dollars, I said, this is insane.
• 1:43
  Speaker 2: It doesn't make sense because I remember when bitcoin was pennies.
• 1:48
  Speaker 2: Actually you could buy several bitcoin for a penny, and
• 1:52
  Speaker 2: then it went up and up and up. Twenty thousand dollars.
• 1:54
  Speaker 2: This is crazy, It doesn't make any sense. It hit
• 1:57
  Speaker 2: one hundred and twenty five thousand dollars and now it's
• 2:00
  Speaker 2: what ninety five thousand something like that. It dropped thirty percent.
• 2:03
  Speaker 2: What's going on with this?
• 2:05
  Speaker 1: Yeah? So yeah, So yesterday it dipped below ninety thousand
• 2:10
  Speaker 1: for the first time in like six months. So that's
• 2:11
  Speaker 1: kind of a new recent low. But it's interesting because
• 2:15
  Speaker 1: and that's like you said, the recent high was one
• 2:17
  Speaker 1: twenty five. So people that are in bitcoin, they have
• 2:20
  Speaker 1: been just you know, all over the place, these wild
• 2:23
  Speaker 1: swings in the past year. In fact, I think at
• 2:26
  Speaker 1: this point it's wiped out all of the earnings for
• 2:29
  Speaker 1: the year, all the gains for the year with the
• 2:31
  Speaker 1: price it's at right now. So that's you know, people
• 2:33
  Speaker 1: that have this going into the end of the year
• 2:35
  Speaker 1: the holidays are not very happy. So what's happening. You know,
• 2:39
  Speaker 1: people are uncertain the future rate cuts. People are worried
• 2:42
  Speaker 1: about that. They're not sure that's going to happen. Traders
• 2:45
  Speaker 1: are just in general more cautious getting rid of some
• 2:47
  Speaker 1: of their risky bets and bitcoin, you know, a lot
• 2:50
  Speaker 1: of people could be seen as risky, and so we're
• 2:53
  Speaker 1: going to follow this to what happens. It is the
• 2:55
  Speaker 1: first time in a while that we have a lot
• 2:58
  Speaker 1: of money flowing into bitcoin for like what's called institutional investors.
• 3:02
  Speaker 1: These are the big companies that you know, people do
• 3:04
  Speaker 1: their four to one k's and all that stuff, and
• 3:06
  Speaker 1: they put money into this, and a lot of that
• 3:09
  Speaker 1: money is vanished. One point two trillion dollars in crypto
• 3:12
  Speaker 1: value has vanished now since early October. So it's just
• 3:16
  Speaker 1: all over the place with this stuff, and we'll see
• 3:18
  Speaker 1: what happens. Some people thought it was going to go
• 3:20
  Speaker 1: to two hundred thousand by the end of the year.
• 3:22
  Speaker 1: That is looking unlikely. But what do I know, Bill, Yeah,
• 3:26
  Speaker 1: and I don't get it either.
• 3:27
  Speaker 2: I mean, I've never understood I've never understood cryptocurrency ever.
• 3:31
  Speaker 2: But you know, go figure, I put a lot of
• 3:34
  Speaker 2: money on the table if I had left a lot
• 3:36
  Speaker 2: of money on the table, if I had bought now
• 3:38
  Speaker 2: something that all of us understand Amazon, because so many
• 3:42
  Speaker 2: of us buy from Amazon.
• 3:44
  Speaker 3: We certainly do.
• 3:44
  Speaker 2: At my house, I'm sitting at five packages that just
• 3:48
  Speaker 2: came in yesterday from Amazon.
• 3:50
  Speaker 3: That's my wife, who's kind of crazy for that.
• 3:52
  Speaker 2: Amazon is now and you wrote this up is selling
• 3:56
  Speaker 2: used forwards in La.
• 4:00
  Speaker 3: Yeah, that's kind of new.
• 4:01
  Speaker 2: And then I assume that the Amazon guy delivers it
• 4:04
  Speaker 2: and puts it on your ports.
• 4:05
  Speaker 3: Right.
• 4:06
  Speaker 1: They do not do that just yet, so that would
• 4:09
  Speaker 1: be ideal. I know, major missed opportunity from Amazon. But
• 4:13
  Speaker 1: here's the thing. I think Amazon is trying to pease
• 4:15
  Speaker 1: the dealership network that is already in place. If you
• 4:18
  Speaker 1: look at the way cars are sold in America, most
• 4:21
  Speaker 1: of the time you have to go through a dealer
• 4:23
  Speaker 1: at the end of the day. I think Tesla, and
• 4:26
  Speaker 1: I mean they might be the only direct auto seller
• 4:29
  Speaker 1: that I know of but the rest, no matter how
• 4:32
  Speaker 1: you start it, whether you go online, whatever, you still
• 4:35
  Speaker 1: got to deal with someone. Now, if you're doing used
• 4:36
  Speaker 1: it's a little bit different. They've got outfits like Carvana
• 4:40
  Speaker 1: that will bring the car right to your house after
• 4:42
  Speaker 1: you purchase it. You can do most of the process online.
• 4:44
  Speaker 1: But anyway, Ford is the latest to team up with
• 4:47
  Speaker 1: Amazon Amazon Autos to let you shop for these certified
• 4:51
  Speaker 1: used Fords. So they're launching it in Los Angeles, Seattle,
• 4:54
  Speaker 1: and Dallas And basically, you can go onto the Amazon website,
• 4:57
  Speaker 1: you can browse the listings from nearby dealers, completely almost
• 5:00
  Speaker 1: all of the paperwork online and then you go to
• 5:02
  Speaker 1: the dealer and you buy it. So it takes away
• 5:05
  Speaker 1: that whole haggle part of the situation. Plus you get
• 5:08
  Speaker 1: a fourteen day warranty on it. And it's just you know,
• 5:12
  Speaker 1: Hyundai did this with Amazon a couple months ago, and
• 5:15
  Speaker 1: now they've got Ford. I see a world where why
• 5:18
  Speaker 1: would you not if you're a car dealer, why would
• 5:20
  Speaker 1: you not want to be in on this? I mean
• 5:22
  Speaker 1: you're losing a bit on the haggle because yeah, you're
• 5:24
  Speaker 1: doing the prices that are upfront, but at the same time,
• 5:27
  Speaker 1: you're reaching a wider swath of the audience, and the
• 5:30
  Speaker 1: younger audience is probably more shopping online these days.
• 5:32
  Speaker 3: Even from that, you don't yeah.
• 5:34
  Speaker 2: You don't see much haggling in the world. I mean
• 5:37
  Speaker 2: other than free markets. I mean you don't haggle at
• 5:41
  Speaker 2: you know, when you go to a clothing store, when
• 5:43
  Speaker 2: you go to the supermarket, and it's I kind of
• 5:47
  Speaker 2: like the idea, here's the price. I think car Max
• 5:50
  Speaker 2: does this. Here's your price, thank you very much.
• 5:52
  Speaker 1: Right.
• 5:53
  Speaker 2: I love that that car vending machine that's off the
• 5:56
  Speaker 2: I think the five Freeway where the cars are stacked
• 5:59
  Speaker 2: up and you press on them and then they come, yeah, oh,
• 6:03
  Speaker 2: I'm sorry, that's carbon a carban, right, yeah. And I
• 6:06
  Speaker 2: was looking the other day at someone getting one of
• 6:08
  Speaker 2: those cars and they were putting in thirty two thousand
• 6:10
  Speaker 2: dollars worth of quarters.
• 6:12
  Speaker 3: Now, it took a while.
• 6:13
  Speaker 1: You got to go to the Yeah, that's that's too much.
• 6:15
  Speaker 1: You got to go to the store and they may
• 6:17
  Speaker 1: not have it. You know, you're like, hey, can you
• 6:18
  Speaker 1: break twenty? But Bill, I'm curious because you touched upon
• 6:22
  Speaker 1: something that really really bugs me, because this whole car
• 6:25
  Speaker 1: haggling situation is a pain for most Americans because think
• 6:30
  Speaker 1: about it. The dealer is dealing with this every single day.
• 6:33
  Speaker 1: They're haggling. They know exactly how to close the sale,
• 6:36
  Speaker 1: what to say, You go in there what once every
• 6:39
  Speaker 1: three years to seal a deal. How are we equipped
• 6:42
  Speaker 1: to deal with these dealerships where it's just so slick
• 6:45
  Speaker 1: and they've got their system down, you know, and every
• 6:47
  Speaker 1: single person is paying a different price for a car
• 6:50
  Speaker 1: in twenty twenty five, twenty twenty six. That just seems
• 6:52
  Speaker 1: absolutely insane to me.
• 6:54
  Speaker 2: Yeah, anyway, and of course when you buy a car, oh,
• 6:56
  Speaker 2: let me bring my manager in here, and you'll give
• 6:58
  Speaker 2: you the best deal possible. And of course it is
• 7:02
  Speaker 2: the pressure, and it's professionals that know how to close
• 7:06
  Speaker 2: and you're waighing over your league.
• 7:07
  Speaker 3: You're absolutely right.
• 7:08
  Speaker 2: So, by the way, do you see a future where
• 7:11
  Speaker 2: haggling is gone completely?
• 7:14
  Speaker 1: Well, here's the deal. There are some people that really
• 7:17
  Speaker 1: like that process. So I think that you know, there's
• 7:21
  Speaker 1: people that go in there thinking, Okay, I'm going to
• 7:23
  Speaker 1: get a deal, and they go in and they wait
• 7:25
  Speaker 1: for these sales, and they wait for the rebates, and
• 7:27
  Speaker 1: they wait for the end of the month. You know,
• 7:29
  Speaker 1: But at the same time, I think there's a large
• 7:31
  Speaker 1: swath of the world, these digital natives who are growing
• 7:35
  Speaker 1: up and every single thing they do is from their phone,
• 7:38
  Speaker 1: and every time Bill I know about me personally. When
• 7:41
  Speaker 1: I go on Amazon, I am much more tempered with
• 7:43
  Speaker 1: my shopping because guess what I'm seeing exactly a running
• 7:46
  Speaker 1: total of how much I'm spending, Versus when I go
• 7:49
  Speaker 1: into Target, I just throw things into my car. You know,
• 7:51
  Speaker 1: all the time, I have no idea how much I'm spending.
• 7:54
  Speaker 1: By the time I get to check.
• 7:55
  Speaker 2: Out AI toy concerns, it was only a question of
• 7:58
  Speaker 2: time before AI hit.
• 8:00
  Speaker 3: So what's happening?
• 8:02
  Speaker 1: Yeah, So this group us PERG found that AI power
• 8:08
  Speaker 1: toys might be the newest tech concern for parents, the
• 8:11
  Speaker 1: reason they're having inappropriate conversations with kids, including adult topics.
• 8:16
  Speaker 1: One toy offered advice about finding knives or matches, and
• 8:20
  Speaker 1: some of these toys actually discourage kids from playing with them,
• 8:24
  Speaker 1: looking sad as the kids walk away. So the bottom
• 8:28
  Speaker 1: line is, we already know that AI is all over
• 8:31
  Speaker 1: the place in terms of hallucinations and what it can
• 8:33
  Speaker 1: do and what it can't do. But when you put
• 8:36
  Speaker 1: it in a kid's toy. You just don't know how
• 8:39
  Speaker 1: these things are going to perform, even with the guardrails
• 8:41
  Speaker 1: that these companies put in place. So my advice and
• 8:45
  Speaker 1: I would think that this report sort of echoes that
• 8:48
  Speaker 1: is that AI toys might not be ready for prime
• 8:51
  Speaker 1: time just yet. It's probably better to get something that's
• 8:54
  Speaker 1: a little bit more proven. If your device has an
• 8:56
  Speaker 1: Internet connection, might not be the best thing for your.
• 8:59
  Speaker 2: Young Yeah, but today, how can you other than link
• 9:04
  Speaker 2: and logs or cabbage well even a cabbage patch noll
• 9:08
  Speaker 2: or it's equivalent, has to be connected to AI, because
• 9:12
  Speaker 2: how do you compete with toys that aren't connected or
• 9:15
  Speaker 2: those that are not connected, how do they compete?
• 9:19
  Speaker 1: Yeah, I think that's the issue here is that number one,
• 9:21
  Speaker 1: kids are already on a toy that is very much
• 9:24
  Speaker 1: connected and very much can access pretty much anything on
• 9:27
  Speaker 1: the internet, the iPad or their phone. But I think
• 9:30
  Speaker 1: the difference here is that because it's marketed as a
• 9:35
  Speaker 1: toy for children, they are going to be talking to
• 9:37
  Speaker 1: this toy as if it was a friend. And if
• 9:40
  Speaker 1: this toy starts going off the rails and asking inappropriate
• 9:44
  Speaker 1: things or talking about inappropriate things, which, by the way,
• 9:47
  Speaker 1: AI can do, especially during long sessions. We know that
• 9:51
  Speaker 1: when you talk to AI for a long time, it
• 9:53
  Speaker 1: sometimes goes a little crazy. And so I think that
• 9:56
  Speaker 1: these kids spending a lot of time with these toys,
• 9:58
  Speaker 1: that's when they have the potential issues involved in AI
• 10:02
  Speaker 1: and hallucinations and just going off the rails here.
• 10:06
  Speaker 2: And I'm assuming the technology and AI cannot concern it
• 10:10
  Speaker 2: cannot discern if it's a kid that's talking or that's
• 10:14
  Speaker 2: speaking to the program, the platform, or what age that
• 10:20
  Speaker 2: kid is. I mean, there's some questions that could be asked,
• 10:22
  Speaker 2: But does that technology exist.
• 10:27
  Speaker 1: I mean I don't, I don't. I mean, I'm sure
• 10:28
  Speaker 1: you could. You know, you can set guardrails for the
• 10:31
  Speaker 1: AI bot to you know, talk about topics that are
• 10:33
  Speaker 1: appropriate for a child. But the problem is, you know,
• 10:37
  Speaker 1: if these kids say something and the AI misconstrues it,
• 10:40
  Speaker 1: you know, and it brings up a totally different topic,
• 10:42
  Speaker 1: then it goes down that line. So we just don't know.
• 10:44
  Speaker 1: I think there's just not enough right now in place,
• 10:47
  Speaker 1: Like just regular AI for adults, you know, can be
• 10:51
  Speaker 1: all over the place, and so I think when it
• 10:53
  Speaker 1: comes to specifically toys for kids, it's probably not something
• 10:57
  Speaker 1: that is proven just yet, especially because these all have
• 11:01
  Speaker 1: AI models that are basically from one of the big
• 11:04
  Speaker 1: providers that these toy companies have sort of, you know,
• 11:07
  Speaker 1: rewritten a little bit to match a child's preferences in
• 11:10
  Speaker 1: child's topics. So I think that it's just as catchy
• 11:14
  Speaker 1: and fun as they may be to have a stuffed
• 11:16
  Speaker 1: animal or a bear that might talk to your child
• 11:18
  Speaker 1: with AI. It's probably not the best time right now
• 11:21
  Speaker 1: for that kind of stuff.
• 11:23
  Speaker 3: All right, Rich, Thanks Michael.
• 11:24
  Speaker 2: Catch you next Tuesday and this Saturday eleven to two
• 11:29
  Speaker 2: right here on KFI KTLA every day and Instagram at
• 11:33
  Speaker 2: rich on tech website, rich on tech dot TV with
• 11:36
  Speaker 2: some great information.
• 11:37
  Speaker 3: Rich, you have a good one. Take care of my friend.
• 11:39
  Speaker 2: Thanks Bill, okay, really quickly, and we're gonna spend a
• 11:42
  Speaker 2: couple segments on this. Neil, you have an event this Saturday.
• 11:47
  Speaker 4: Yeah, pastathon seasons here. I'll broadcast live this Saturday at
• 11:52
  Speaker 4: Wendy's in mission via HO. That's two three zero two
• 11:56
  Speaker 4: to two a leash parkway mission via HO. Come out
• 12:00
  Speaker 4: say hello, you'll be out there.
• 12:03
  Speaker 3: I will be out there mainly mainly for a free burger.
• 12:07
  Speaker 4: Yes, yes, indeed, and but I will I will be
• 12:10
  Speaker 4: joining you final in your Blinda on Friday.
• 12:13
  Speaker 2: Okay, lots of good stuff happening as we are now
• 12:17
  Speaker 2: entering Pastathon season. Now, robots and cars, they're basically the same.
• 12:27
  Speaker 3: And i'll explain.
• 12:28
  Speaker 2: Elon Musk is on his way to becoming the first trillionaire.
• 12:33
  Speaker 2: The shareholders just are approving or did approve a huge
• 12:39
  Speaker 2: pay package for him. But the payout happens only if
• 12:43
  Speaker 2: certain targets are met. The most important one is the
• 12:47
  Speaker 2: successful deployment of one million Optimus robots, named after the
• 12:53
  Speaker 2: Transformers character, of course because it's Elon Musk. It's a
• 12:58
  Speaker 2: humanoid machine that's supposed to be able to complete boring
• 13:02
  Speaker 2: and dangerous work in place of humans like here.
• 13:04
  Speaker 3: On the show.
• 13:06
  Speaker 2: The robot was unveiled in twenty twenty one, and there
• 13:12
  Speaker 2: was actually a person inside the robot. He was just
• 13:14
  Speaker 2: wearing a robot costume, but so be it. And now
• 13:17
  Speaker 2: it's actually out there and it's a Tesla held in
• 13:22
  Speaker 2: AI day detailing future plans. And here's what must said,
• 13:28
  Speaker 2: and it's very interesting and I think it is prescient.
• 13:31
  Speaker 2: He declared that Tesla needs to be much more than
• 13:34
  Speaker 2: an electric car company. And it would combine advancements in chips,
• 13:39
  Speaker 2: autonomous driving, and batteries into a robot.
• 13:43
  Speaker 3: That's exactly what electric cars are about.
• 13:47
  Speaker 2: It's the same technology, it's the same world. Optimists would
• 13:53
  Speaker 2: be able to do factory work. But that's just starting
• 13:57
  Speaker 2: and over time, must said. Optimists could unleach, unleash unprecedented
• 14:02
  Speaker 2: economic and societal change, tireless, unpaid labor very close to
• 14:07
  Speaker 2: us here.
• 14:08
  Speaker 3: And can be trained to do anything.
• 14:11
  Speaker 2: For example, this is a ridiculous analogy here or an
• 14:15
  Speaker 2: example for example, it will help you and it can
• 14:19
  Speaker 2: grow your own vegetables instead of you buying them from
• 14:22
  Speaker 2: the store.
• 14:23
  Speaker 3: Hey, what if you live.
• 14:24
  Speaker 2: In a thirty story condo? Where do you grow vegetables?
• 14:30
  Speaker 2: I don't quite understand that, he said. How about eliminating
• 14:34
  Speaker 2: the need for prisons by following criminal offenders around to
• 14:38
  Speaker 2: prevent them from doing crime? Again, another genius move, And
• 14:42
  Speaker 2: he said, and this is closer to what might happen.
• 14:45
  Speaker 2: Robots could power an eventual Mars colony. Now, this kind
• 14:50
  Speaker 2: of hyperbole is expected from guy like Musk, but we
• 14:54
  Speaker 2: really are on the way to having a really sophisticated robots.
• 15:01
  Speaker 2: Now you have those robots that serve drinks. You ever
• 15:04
  Speaker 2: seen bars that do that. There are a lot of
• 15:08
  Speaker 2: money and you have a choice of five drinks. And
• 15:10
  Speaker 2: that's not very sophisticated, but it's getting there. A lot
• 15:16
  Speaker 2: of automakers are pivoting to robotics. Rivian electric vehicle startup
• 15:23
  Speaker 2: just had a spin off called Mind Robotics. Hyundai bought
• 15:28
  Speaker 2: a robotics giant, Boston Dynamics, a few years ago and
• 15:32
  Speaker 2: has robot dogs spot checking cars at a US plant. Xping,
• 15:38
  Speaker 2: a growing EV company, recently debuted humanoid robots and as
• 15:45
  Speaker 2: I said, and this is what a lot of people
• 15:49
  Speaker 2: don't think about, and I didn't either until I looked
• 15:51
  Speaker 2: at this research, huge amount of overlap between cars and robots.
• 15:58
  Speaker 2: Robots need battery just like the ones inside evs, and
• 16:03
  Speaker 2: that's exactly the same technology. The auto industry has invested
• 16:09
  Speaker 2: billions in advanced sensors. Robots need sensors, chips ai same technology.
• 16:18
  Speaker 2: If you add arms and legs to a car, basically
• 16:21
  Speaker 2: that technology, what do you have?
• 16:23
  Speaker 3: You have A robot.
• 16:26
  Speaker 2: Robot is the car, A car is a robot, And
• 16:31
  Speaker 2: the bottom line is Musk and the others clearly understand.
• 16:35
  Speaker 2: I think they're absolutely right on point is that, well,
• 16:41
  Speaker 2: we're going to have a robot army.
• 16:43
  Speaker 3: That's what Tesla promises. Now.
• 16:45
  Speaker 2: Must just got a trillion dollar deal, a pay package
• 16:49
  Speaker 2: from shareholders, but that includes a successful deployment of a
• 16:54
  Speaker 2: million optimist robots.
• 16:56
  Speaker 3: Is that going to happen? Who the hell knows.
• 16:59
  Speaker 2: But the bottom line is car companies and he's not alone.
• 17:03
  Speaker 3: It's not just Tesla.
• 17:04
  Speaker 2: Are really robotic companies now manufacturing of cars?
• 17:09
  Speaker 3: We know it's robots that do it.
• 17:12
  Speaker 2: And we're talking about these articulated robots that are stationary
• 17:16
  Speaker 2: that hold on, I'm gonna sneeze.
• 17:21
  Speaker 3: Got it?
• 17:22
  Speaker 2: Okay, These articulated robots that are stationary and they weld,
• 17:27
  Speaker 2: they paint, you've seen that, and assemble cars. And then
• 17:32
  Speaker 2: you have the robotic The Amazon has these cars that
• 17:37
  Speaker 2: bring packages to certain places and you see these all
• 17:41
  Speaker 2: over the place.
• 17:42
  Speaker 3: These are robots.
• 17:44
  Speaker 2: What we're talking about here is humanoid robots that walk
• 17:49
  Speaker 2: around and sing and dance. And we've seen a few
• 17:52
  Speaker 2: of these. Do you remember Asimo That was Honda that
• 17:56
  Speaker 2: was twenty five years ago, where it danced and it's
• 18:00
  Speaker 2: and it moved around. The problem with humanoid robots and
• 18:05
  Speaker 2: Tusla brought this up is and excuse me, Musk brought
• 18:09
  Speaker 2: this up is really the last bastion are hands.
• 18:14
  Speaker 3: He calls it the hand problem.
• 18:17
  Speaker 2: That until they figure out how they can robotize or
• 18:21
  Speaker 2: robotize or robot whatever that furb is, how they can
• 18:26
  Speaker 2: robotize hands, it's not really going to go where it
• 18:31
  Speaker 2: should go.
• 18:32
  Speaker 3: The human hand.
• 18:33
  Speaker 2: The dexterity of the human hand is almost impossible to recreate.
• 18:38
  Speaker 2: For example, Chipotle, right, remember they had the robot and still.
• 18:43
  Speaker 3: Do for the bowls.
• 18:47
  Speaker 2: Well, the reason they can make bowls they can't and
• 18:51
  Speaker 2: they can't make burritos is because these robotic hands just
• 18:56
  Speaker 2: don't work. So we're still away from doing that. But
• 18:59
  Speaker 2: in terms of manufacturing, man, let me tell you.
• 19:03
  Speaker 3: It's Hyundai, It's.
• 19:06
  Speaker 2: It's Xpain, Chinese, it's BMW, it's Mercedes, all developed being
• 19:12
  Speaker 2: robots with human like reasoning. And then you put AI
• 19:15
  Speaker 2: there and what do you have? Well, this is what
• 19:19
  Speaker 2: said a robot is you put hands, You take hands
• 19:25
  Speaker 2: off a robot and you put them on wheels.
• 19:27
  Speaker 3: What do you have? You have a car and the
• 19:29
  Speaker 3: same thing goes the other way.
• 19:30
  Speaker 2: Because of the technology, it's gonna be a lot of
• 19:32
  Speaker 2: fun to see that absolutely okay, we're done, guys. As
• 19:36
  Speaker 2: I said, I'm taking phone calls for a handle on
• 19:39
  Speaker 2: the law marginal legal advice. I'm gonna do it off
• 19:42
  Speaker 2: the air. No commercials, no brakes, no weather, no patience
• 19:47
  Speaker 2: on my part. So we go through them pretty quickly.
• 19:50
  Speaker 2: The number eight seven seven five two zero eleven fifty.
• 19:53
  Speaker 2: I'm gonna be starting in just a moment or two
• 19:55
  Speaker 2: eight seven seven five two zero eleven fifty. Quick reminder
• 19:59
  Speaker 2: that this Saturday at the Wendy's and Mission via Ho,
• 20:03
  Speaker 2: Neil will be broadcasting the Fork Report. I will be
• 20:07
  Speaker 2: joining him, so you can watch me eat, which is
• 20:11
  Speaker 2: always a joy.
• 20:12
  Speaker 3: Neil and I eating.
• 20:14
  Speaker 2: By the way, we're looking at each other when we
• 20:15
  Speaker 2: eat and we have context contests.
• 20:18
  Speaker 3: I cannot tell.
• 20:19
  Speaker 2: You how much food is sprayed out of our mouths
• 20:22
  Speaker 2: at each other.
• 20:24
  Speaker 3: It is work mouth. It is hugely entertaining.
• 20:28
  Speaker 2: Let's go to the judges on that as we eat.
• 20:31
  Speaker 2: All right, we basically are done. Eight seven seven five
• 20:35
  Speaker 2: to zero eleven fifty is remember to call. You can
• 20:37
  Speaker 2: call right now and I will be answering legal marginal
• 20:41
  Speaker 2: questions tomorrow morning.
• 20:44
  Speaker 3: It's all over again.
• 20:45
  Speaker 2: It's amy and will wake up call from five to six,
• 20:49
  Speaker 2: Neil and I jump aboard from six to just about
• 20:52
  Speaker 2: now nine o'clock. Gary and Shannon up next, and of
• 20:56
  Speaker 2: course Cono and make all of this happen, which is
• 20:59
  Speaker 2: why this show is so bad.
• 21:03
  Speaker 3: So thank you, Kono and Ann. Okay, we're doing thank you.
• 21:09
  Speaker 2: Yeah, Okay, this is kf I am six forty.
• 21:14
  Speaker 3: You've been listening to the Bill Handle Show.
• 21:16
  Speaker 2: Catch my show Monday through Friday, six am to nine am,
• 21:19
  Speaker 2: and anytime on demand on the iHeartRadio app