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Asmongold Crashes Out | Neo Robot

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0:00

Yesterday we saw the introduction of the

0:02

Neo robot which is not autonomous at

0:05

all. It's teaoperated likely by some

0:08

foreigner who essentially remote

0:10

controls a robot in your home to do

0:12

things at the moment really poorly

0:15

without any autonomous features or

0:17

artificial intelligence. Uh and what

0:19

you're really doing is you're putting an

0:22

investment into the company by

0:23

pre-ordering this robot without actually

0:25

getting any upside of equity in the

0:28

company. So, you're basically giving the

0:30

money to this company under the guise

0:32

that one day you will get a robot that

0:35

can do things for you in your home,

0:36

which is really provocative. We all want

0:38

this. Now, uh this company has done a

0:41

really incredible move in that they've

0:42

basically gone viral uh even though the

0:45

robot sucks, they've gone viral over it

0:47

because of both a criticism uh and b

0:50

praise. People are very excited. And

0:52

then of course you have people that are

0:54

like, "Oh, well, some people are just

0:56

mad because it's not the Tesla Optimus

0:58

or this that or whatever." We are so

1:01

many years away from these things

1:03

actually being functional, especially

1:05

with what we saw with the dishwasher

1:06

loading. But today, we're going to react

1:08

to Marquez and Asongold reacting to this

1:11

robot. So, we'll jump through this

1:12

together. Let's see what they have to

1:14

say about this disastrous robot.

1:17

I feel like it's been

1:18

>> ah yes, it would actually be useful if

1:21

we had audio. So, we'll go ahead and

1:24

punch that on.

1:25

>> Minutes since I've done just like an old

1:26

school

1:28

and losing her house. It's finally here.

1:30

Get your mind out of the gutter. It's

1:32

for doing chores.

1:34

>> It's a housekeeper. It has the same

1:36

dexterity as a human because it's shaped

1:38

just like a human. Walks around on two

1:40

legs. Has

1:41

>> It doesn't actually have the same

1:43

dexterity or capabilities as a human. I

1:46

mean, if you look at what we saw with

1:47

the Wall Street Journal uh interview by

1:50

uh Joanna, uh the neo robot can't really

1:55

grab things, grab things like a human or

1:58

do things like a human could. Uh for

2:01

example, if we look at I mean, I think

2:03

the best example is just this right

2:05

here, dropping the second cup in here

2:08

and then the miserable

2:11

attempt to close the dishwasher. Now,

2:14

it's great. I mean, it's optimistic.

2:16

Hey, like we're getting somewhere. We're

2:17

trying to make progress, right? But

2:19

really, to me, what this is, this is a

2:21

company that bolted together uh tendon

2:23

actuators that you could, you know, buy

2:25

off the shelf and dressed this up into a

2:28

soft looking robot. Uh and and now

2:32

they're using it as a fundraising tool.

2:34

Uh there was even a moment where they

2:35

show this trying to wipe the table or

2:37

crack a walnut and it just it just

2:39

doesn't have the capabilities of doing

2:41

the the things that humans do right now.

2:42

So, this doesn't actually have the

2:44

dexterity that of of a human and and I

2:46

would expect that Marquez would say

2:47

that, but he hasn't yet. So,

2:49

>> fingers, it can fold laundry and put it

2:52

away for you, or it can do the dishes

2:54

for you from start to finish. And

2:56

>> this is all like I think he's just

2:57

getting into like the pitchy part of

2:58

like the vision of what it could do for

3:00

you. Uh, self-charge enabled. Come on,

3:04

dude. [laughter]

3:06

>> Self. Imagine going out for the day of

3:08

work and coming back a few hours later.

3:09

Okay, this is all [clears throat] the

3:10

vision of what human we already know

3:12

about the vision.

3:14

>> Flat $20,000 to own it outright and get

3:17

priority delivery. Just drop a $200

3:19

fully refundable deposit to get in line

3:21

today and deliveries in the US.

3:23

>> This company is going to get so much

3:26

money just in pre-orders. And none of

3:29

those people are going to get the

3:30

benefit of upside and equity in the

3:31

company, even though that's basically

3:32

what they're doing. This company is it's

3:34

almost like a fake it till you make it

3:37

uh strategy. And it's kind of brilliant

3:39

for the company.

3:40

>> Start. This is for people who the idea

3:43

of

3:44

>> Oh my gosh. Marquez, stop marketing the

3:46

damn thing. Just get to the damn point,

3:48

would you? Geez lord.

3:52

>> Oh, here's the wall next. You You don't

3:54

think they would show her the best stuff

3:56

that this could do autonomously to keep

3:58

selling the dream? If you want

4:00

>> Yes. Thank you, Marcus. Finally, dude.

4:02

It took us 4 minutes to get to the full

4:04

point. And I think Marquez does that

4:06

really well. like he doesn't want to be

4:07

so offensive to these companies. Uh

4:10

because he does get a lot of

4:11

sponsorships from the companies as well

4:12

and product demos and invitations to

4:14

events. Uh so he kind of has to start by

4:16

being nice. I get it. Uh but finally 4

4:21

minutes in. Don't you think the company

4:22

would show the best that they have now?

4:25

Yes, you do think that. Did they? No.

4:27

They showed Joanna zero autonomous

4:29

features. Watch that keynote video back.

4:32

To their credit, you'll notice that they

4:34

actually are very careful to label

4:36

exactly when the robot is doing

4:38

something autonomously and not

4:40

teaoperated. And in that whole nearly 10

4:43

minutes,

4:43

>> right, but it's edited, so it doesn't

4:44

matter. Edited videos don't matter. You

4:46

want to see actual production.

4:48

>> This product can actually do today and

4:52

what it can maybe hopefully do someday

4:55

in the ideal future are it is massive.

4:59

They are massively far apart. And so

5:01

that that's really my main issue. There

5:04

seems to be a bit of a lost art in

5:07

waiting for a tech product to be

5:09

actually finished before announcing and

5:12

unveiling it. Like do you remember when

5:14

tech

5:14

>> Right. Right. Correct. Like that's

5:16

that's exactly what's happening here is

5:18

it's there's a race to announce your

5:20

successes in these robotics uh to g to

5:23

get fundraising because this company has

5:26

the most attention ever. Like I would

5:28

argue that the fundraising that they've

5:30

done is the greatest fundraising that

5:31

they've ever been able to do. If we go

5:33

to trends.google.com, let's just try it.

5:36

Let's just Google Neo Robot and let's

5:39

see what we got here. Uh so if I go to

5:42

the past 90 days, for example. Uh yeah,

5:45

I mean this is not even going to be

5:47

comparable, but let's compare it to

5:49

Tesla Optimus. Okay.

5:52

Oh my gosh, dude. Look at that. Searches

5:54

for Tesla Optimus relative to Neo. Let's

5:57

go to like past 5 years cuz we might get

5:58

more Optimus. Look at that. The highest

6:00

you had on the Optimus was over here at

6:02

like what the 30th percentile, 35th

6:05

percentile. The the Neo robot is so like

6:09

3x that search result. Uh let's get a

6:13

little bit more granular. Maybe the last

6:14

year here. No, I mean it's just it's

6:16

just not even it's not even close. Uh

6:18

let's just look at Tesla in general

6:20

versus Neo Robot. Okay. All right. So

6:23

Tesla in general as a term beats. What

6:26

about Nvidia? I'm just trying to find

6:27

something to compare it to. No, that

6:28

beats as well. Okay, let's try

6:31

Bloomberg. You know how many people are

6:32

typing Bloomberg News in? Look at that.

6:35

It almost has as many searches on Google

6:39

Trends uh you know in this last week

6:42

period right there, which is going to be

6:44

concentrated into a day, right? But

6:45

anyway, as the search term Bloomberg, I

6:49

mean, this is insane advertising that

6:52

they pulled off here.

6:52

>> Companies would unveil a brand new tech

6:55

So the rabbit R1, for example, will

6:58

solve.

6:58

>> Oh yeah, that was a disaster.

6:59

>> In order for this robot to be everything

7:00

people want it to be, they need to

7:02

develop a super smart AI system that

7:05

looks through the robots.

7:06

>> Well, remember what Brett Whitten said,

7:08

which is very interesting. Uh I actually

7:11

think I I I respect Brett Whitten. I I

7:13

think some of his bullishness is too

7:16

bullish and misplaced. But understand

7:18

he's he's a very smart individual. uh

7:21

he's very very bullish on Tesla robo

7:24

taxi and uh uh robotics. He argues that

7:28

it to ramp humanoid robots. Uh it's

7:32

going to be 1,000 to 10,000 times more

7:36

difficult than robo taxi, which implies

7:39

we won't actually see a ramp up of

7:41

robotics until 2030 to 2032. I actually

7:44

think it'll take even longer than this.

7:47

But beyond this, he also argues,

7:51

I believe it's here. Yeah, here it is.

7:53

He argues that the first estimate is

7:55

that Tesla will need to spend 100 to 200

7:58

billion on AI compute to solve the

8:00

robotics problem. So, we've got a lot of

8:02

work to do.

8:05

>> Sensors and is able to learn its

8:06

environment and recognize everything

8:08

it's looking at and teach itself to

8:10

navigate that environment.

8:11

>> This is an example here of not human

8:13

dexterity. This was a

8:14

>> environment and perform tasks. It has to

8:16

learn what a laundry room is and what

8:18

the laundry looks like and the roomate

8:21

or not. And like what if one of the

8:22

tasks is going and and getting the right

8:24

medication for an elderly person,

8:26

bringing it to them that it it has to

8:28

get that right. Like it needs to

8:30

identify the correct medication at the

8:33

right time and the right intervals and

8:35

bring it

8:35

>> that it's decades for that. Uh maybe not

8:37

decades, maybe 5 to 10 years.

8:38

>> Early adopters. So people who press that

8:40

order now button first and who actually

8:43

>> they're going to get scammed. This is

8:44

like Nickeola. This is like pre-ordering

8:46

your truck that rolls down a hill.

8:49

>> I guess get one of these when they start

8:50

to ship them. We'll get a robot that can

8:52

probably do a few simple things

8:54

autonomously, like opening doors. But

8:57

there will be many things it can't do.

8:59

And for that, if you scroll down on

9:00

their website, you can see there's

9:02

expert mode, which is when you have

9:04

something the robot can't yet do, and

9:06

you schedule one of their teleaoperating

9:08

employees to look through the sensors

9:10

into your home and do the task so that

9:12

the robot can learn from it. And this is

9:15

something that they've so that the robot

9:17

can learn from it. There's it's this

9:20

idea that they're going to be able to

9:22

collect so much data from this tea

9:24

operating inside of your home. It's

9:26

going to be such diverse data. There is

9:28

some provociveness to that. Uh there is

9:31

some excitement around the amount of

9:33

diversity of data that they're going to

9:34

get through being able to teleoperate.

9:36

To some extent, this is what Amazon is

9:37

doing with their delivery drivers. They

9:39

want to equip their delivery drivers

9:40

with glasses so that they can record

9:44

what their drivers are doing uh and then

9:47

eventually replace them with robots. So,

9:49

you know, the people are basically

9:50

replacing their uh or or training their

9:52

replacements. But supposedly they can

9:54

also get like recommendations on how to

9:57

Tetris together the uh uh the products

9:59

better. But look at this. You know,

10:01

these are for example the uh the the

10:03

Meta Sporty glasses or whatever.

10:06

Apparently they've got like five

10:07

microphones on the side that uh will uh

10:11

enable video recording while you're

10:13

going 30 miles an hour up to 30 m hour.

10:16

Maybe I should should I do give this a

10:17

try later? I could go on a go-kart and

10:19

maybe I can make a video uh with these

10:22

and and we could see if it works. We

10:24

could try it. Uh but like I'm a big fan

10:26

of technology. Like I think when people

10:28

hear me poop on like these robots,

10:32

what do I hear? There's music playing.

10:35

Uh anyway, so uh yeah. So very cool. But

10:40

Amazon is equipping these or people with

10:42

these so they can get the data and

10:44

learn. So there is some value to this.

10:48

direct pretty directly said that they

10:50

expect early adopters to be totally cool

10:51

with like go watch Joanna's video. I'll

10:53

link it below the like button. She did a

10:55

great video all the healing and

10:57

promising that this could maybe be a

10:59

post smart

11:02

cameras and microphones into your house

11:04

and it could also fall over.

11:06

>> Well, keep in mind [clears throat] this

11:06

whole like privacy thing too was kind of

11:08

funny because most people have like

11:11

Siri, a Fire TV, Alexa, Google, you

11:15

know, whatever. I probably just

11:16

activated a lot of those. I apologize,

11:17

but a lot of people have these in their

11:19

homes. Like, they're already listening

11:21

to all of our stuff. You know, adding

11:22

the camera. Are we really adding at this

11:25

point that much? So, Neo the home robot

11:29

order today. Here we go. Let's

11:35

>> All right. We already saw things away

11:37

from being able to have sex with these

11:39

things. I mean, honestly, we're

11:41

>> tell this is like the very first thing I

11:44

would expect as Mongol to say because I

11:46

don't know this, but I think his

11:48

demographic is a lot younger than mine.

11:51

Uh, I would argue that his demographic

11:53

is probably 13 to 24. Uh, and the

11:59

majority of my demographic is actually

12:02

uh 35 to 45. My next largest demographic

12:07

is actually 45 to 55 and then I get the

12:12

24 to 35 crew. So like my audience is

12:17

significantly older. Uh and so like it's

12:21

not a surprise to me that for his

12:22

audience this is the first thing that he

12:24

goes to. [laughter]

12:26

years past some people

12:28

>> they they have like you could just

12:30

>> people having sex with these things you

12:32

know read books about like how we used

12:35

to have slavery and then we got rid of

12:36

it and you're thinking like oh my god

12:38

like I've got to mow the lawn

12:42

why can't

12:43

>> yeah okay so this idea of like this

12:45

being like a slave or whatever for you I

12:47

mean yeah that's why it's kind of an

12:49

exciting idea like everybody wants a

12:51

legal slave right and that's basically

12:53

what these robotics are so if I go the

12:56

DJI

12:58

uh robots.

13:00

Uh so let's go to I think it's DJI has

13:05

one. No, it's Segue. Segue lawnmower

13:09

robot.

13:12

So if you go look at this, this is the

13:14

Segue robotic lawn mower. I don't have a

13:17

lawn that I can really try this on, but

13:20

apparently I mean this would be very

13:21

interesting because here you have AI

13:23

assisted mapping and vision fence image

13:25

obstacle avoidance

13:28

app controlled and multiszone

13:29

management. So you already have a robot

13:32

that can go mow your lawn for you. This

13:35

is like Roomba except for lawnmowing,

13:39

right? So very interesting. All right,

13:41

let's keep going with uh Asong Gold's

13:44

take here on uh on this.

13:49

>> We just have somebody do this.

13:52

>> Oh my family had time or data would help

13:56

[music] humanity explore the galaxy,

13:59

>> right?

13:59

>> And I really bullsh

14:03

its tendon driven body is quiet and

14:05

lightweight. Okay,

14:06

>> it's low energy motions makes

14:08

>> battery life.

14:09

>> Okay, we saw the details of it. I want

14:11

his opinion

14:12

>> on the house. [music] What's your name?

14:15

>> Nice to meet you.

14:17

>> Okay, so this is All right. It's in the

14:18

box. It's the egg.

14:21

>> Okay.

14:25

>> Hey, I'm Neo. I'm here to help around

14:27

the house. What's your name?

14:29

>> Har.

14:31

>> This like I I don't understand this like

14:33

shock on Asong's face. Like, bro, it's

14:37

not that shocking. Like, have have you

14:39

turned on GPT's voice mode? That's all

14:43

you need. And then you have the same

14:45

thing just put into now a tea operated

14:48

body. You know, somebody else going

14:51

like, come on, man. We can go start a

14:54

robotic company, too. go buy these

14:56

actuators off the shelf, slap some

14:59

clothing on it, or what a lot of

15:00

companies do is they 3D print the shells

15:03

to make them look more approachable cuz

15:05

otherwise it's just like metal framing

15:06

and spider framing. It doesn't look that

15:08

good, right? Uh and and then slap like

15:11

grock in it and you're good. Like it's

15:13

not that hard to have a an unfunctional

15:16

humanoid robot right now. It's not that

15:18

shocking.

15:20

>> Nice to meet you, Harry. [music]

15:21

When you have a question or want

15:23

something done, just let me know.

15:26

[music]

15:34

[music]

15:39

>> You schedule a time that you want or

15:41

using the app. The way it works is you

15:43

schedule if there are any chores.

15:45

>> I I I can't I don't almost I can't even

15:47

believe this. I can't. There's no way

15:50

this shit's actually going to work.

15:51

>> Holy duh [ __ ] They're cheaper than

15:55

slaves. Oh my god. Oh, he uses Grock to

15:59

do his math to compare them to be

16:01

cheaper than slaves. Figures come from

16:03

auction records. So adjusted for

16:05

inflation, a slave that would have cost

16:08

you $1,200 in the 1850s would have

16:10

equated to 40 to 50 $45,000 today.

16:14

Jeez, man. Um, well, I mean that's why I

16:18

got seven kids. You know, for 10 bucks,

16:21

you know how much a child would do.

16:26

You

16:27

>> remember what I was saying? Expert mode

16:30

to have an expert from 1X supervise the

16:31

session and provide corrective

16:33

intervention to help Neo complete any

16:34

task.

16:35

>> I see. That's smart.

16:38

>> Yeah, it's the same thing that Amazon

16:39

did with the Indians in the Amazon call

16:41

centers.

16:43

This is not it's not like AI should just

16:46

stand for actually Indian.

16:49

>> So what if you

16:53

know what never mindbody

16:57

[music]

17:00

actually think that in 50 years we're

17:01

not going to have this?

17:03

>> Oh, we we will. I actually agree with

17:05

that. Like in 50 years, yes, we will

17:07

absolutely have robots. I don't know if

17:09

they will actually look like humanoids.

17:11

I I'm not con I'm not convinced that a

17:14

humanoid is necessary for a household

17:16

robot. Like I think you can have a robot

17:20

that's very specifically designed uh for

17:24

very specific tasks that don't

17:27

necessarily require its humanoid form.

17:30

Like I actually think that if I were a

17:33

household robot, I would kind of prefer

17:35

to have more arms, right? So like give

17:38

me four arms. I could do more in the

17:40

kitchen. I can cook more at the same

17:42

time. So like like a you know an

17:45

arachnid style humanoid would actually

17:47

in my opinion be a lot more functional.

17:50

Um I'm okay with the two legs. I might

17:52

go for a third leg. I think a third leg

17:55

could be useful for the weight that you

17:57

could support. Um I understand why

18:00

they're doing humanoids now because it's

18:02

basically a crutch because you could you

18:04

could control them with a human body.

18:06

That's why we're using these humanoid

18:08

form factors because it's a crutch to

18:10

train these things faster.

18:13

It's clearly coming. Everybody knows

18:16

this is coming.

18:20

>> Make it charge in the closet. Yeah. Cuz

18:22

without it being controlled by like, you

18:24

know, a man in the closet, right?

18:26

>> India.

18:26

>> I want to see it happen,

18:29

>> right? Cuz this is just a marketing

18:31

video. He's right.

18:32

>> Just what to cook based on what you have

18:33

in the fridge. remember your progress

18:35

while teaching you a new language and

18:37

even give you in talking to

18:39

>> most of that is just verbal AI that you

18:42

could get out of any chatbot today to

18:44

decide if it should respond or not

18:47

[music]

18:48

>> just got to

18:49

>> Yeah. No, for sure. Okay. Can you make

18:54

[music]

18:57

>> You know, the irony about this whole

18:59

like get the door thing is we have like

19:02

automated locks now that we could use.

19:04

So if you're like get the door, you

19:05

could also just press like unlock door

19:07

or frankly I mean it would not be very

19:10

hard to automate the opening of your

19:11

door either. And it would cost you way

19:14

less than 20 grand if you that's all you

19:15

wanted to do was go open the door.

19:17

>> Hey Neil, can you take this cup to the

19:19

sink for me? and breaking it down into

19:21

simple steps such as walking to [music]

19:24

the person, grabbing the cup, and then

19:26

walking the cup to the kitchen, and then

19:27

putting it away. Neo's autonomy improves

19:29

with diverse data and real. This is

19:31

what's so provocative about this is like

19:33

that does seem awesome. Like, I want

19:35

that. Like, hey, go go go take this

19:37

trash out for me, right? Hey, 500 bucks

19:41

a month if you can, you know, have a I

19:43

guess a robot slave that's controlled by

19:45

somebody in India. TV.

19:47

>> As Neo does more chores, you'll [music]

19:48

receive updates to your Redwood model

19:50

that increase the complexity.

19:51

>> Yeah, somebody in the chat's like, I'm

19:52

buying too.

19:53

>> Tasks that Neo can handle, such as

19:55

finding [music] your keys and wallet or

19:57

damn

19:58

>> doing a

19:59

>> finding keys and wallet is like this

20:01

age-old issue of us as humans just not

20:04

putting our stuff back where we should

20:06

be putting it back.

20:07

>> Whole laundry cycle [music] end to end.

20:08

>> See, that's what I need him to do for me

20:12

>> cuz I Yeah, that doesn't surprise me.

20:14

get today will only get better. [music]

20:17

>> And as we keep shipping features,

20:19

>> it'll be more and more useful in your

20:21

everyday life.

20:22

>> Yeah.

20:23

>> Now, the except the problem is what

20:25

usually happens is as you ship more

20:26

features, you end up exploding the

20:28

hardware uh and the software that you

20:31

have built into the machine and then

20:32

there becomes a limit to how much you

20:33

can do software updates to it. So then

20:35

you end up having to like buy a new

20:38

machine. And so your $20,000 investment,

20:40

I don't know if it actually ends up

20:41

going to like the version two of a of

20:43

the version of the robot. That that's

20:46

the scariest part is that you get and

20:48

like I don't know that you want to be

20:50

like a phase one buyer of this kind of

20:52

product because it's just going to suck

20:54

so badly. I mean, understand what

20:56

happened with the u Joanna Stern

20:59

interview in their demo. The thing ended

21:03

up having to get cooled because it

21:05

overheated uh by somebody standing there

21:08

holding a fan uh at it. And then when

21:11

she mockarena

21:12

>> Neo had to go to urgent care.

21:14

>> See you Neo.

21:15

>> They had to crane it out because she,

21:17

you know, got it all tied up in a little

21:18

bit of a dither. So like they don't have

21:21

the cooling technology yet. Like these

21:24

V1 hardware versions are basically a

21:27

scam. It's it's a it's really smooth and

21:29

sexy marketing, but it's basically a

21:30

scam. journey there is not going to be

21:32

perfect and [music]

21:34

one of those

21:35

>> I think you missed

21:35

>> okay so if it can throw it can kill

21:42

>> spot over here

21:43

>> I wonder if these can turn red

21:46

>> Terminator style yeah

21:50

>> but where you were at it was illegal

21:53

but you're having sex with the robot

21:56

>> oh my gosh we're back to that dude who

21:58

listens to this come on man where's the

22:00

and a smart brain. What

22:02

>> factory robot

22:03

>> burnt? Why am I wearing this sweater?

22:05

>> Think it would

22:10

embarrass.

22:11

>> If only the real world don't cut it.

22:14

>> Don't cut. I want to see it happen.

22:16

>> Yeah. No, of course you can't see the

22:18

whole thing happening cuz if they didn't

22:20

cut it. Remember, it took 5 minutes for

22:22

it to put a fork and two drink wear

22:25

items in the dishwasher. Two glasses,

22:27

right? 5 minutes. Th this doesn't count.

22:30

They're You're cheating. It's a guy

22:33

that's controlling. This isn't an

22:35

autonomous robot. This is a guy

22:37

controlling a robot.

22:39

>> Yes.

22:39

>> This is [ __ ]

22:40

>> A LITTLE

22:41

>> YES. FINALLY. THAT'S WHAT I SAID FROM

22:44

THE FIRST MINUTE. FINALLY. FINALLY.

22:48

>> Over a minute to fetch a water from the

22:50

fridge [music] 10 ft away. Thank you,

22:52

Neo.

22:53

>> Next challenge. Load three items in the

22:56

>> Here we go. This is It's a guy doing

22:58

this.

23:18

The reaction of that glass falling over

23:20

is like classic.

23:24

It's just a It's just a guy. It's

23:26

literally [ __ ] This is literally

23:28

Wizard of Oz [ __ ]

23:30

>> Yes, it is. Behind you.

23:32

>> [ __ ] [ __ ] You [ __ ]

23:33

>> Yeah, dude. THAT'S WHAT I CALLED IT

23:35

YESTERDAY in the first 30 seconds of my

23:38

video. I'm like, this is [ __ ]

23:40

[laughter]

23:41

bro. Are you kidding me?

23:43

>> Oh. Oh,

23:44

>> thank you.

23:46

>> And that took 5 minutes. The Neo I saw

23:49

isn't the one shipping. That's really

23:51

good because if you don't have to do

23:53

anything, that's great.

23:56

>> The new model,

23:56

>> I don't know. It's really bad.

23:58

>> Will be safer and have better hand

23:59

dexterity. The one I saw still needed to

24:01

take breaks to charge

24:02

>> cuz remember, it's more than

24:06

>> uh Oh, that's really good. It put three

24:09

pieces of dishwear away in 5 minutes.

24:10

That's really bad. First of all, it's

24:12

now you have to deal with the

24:12

overheating, the headache of it, the

24:14

complexities of it, the money that you

24:16

spent on it, the $500 a month, which is

24:18

like a car payment that you're paying

24:19

for it, the charging it, the cooling it,

24:21

the upgrade issues, the hardware issues,

24:23

the breakdowns. This is like the

24:26

scheduling the task. Oh, I'm going to go

24:27

in the app and go, "Yes, please put

24:29

these three dishes away." Like, it's

24:30

ridiculous.

24:32

>> Yeah, there's the fan helper.

24:37

>> It's also its brain on its own without

24:39

human

24:41

All right.

24:42

>> Is essentially when there is a human in

24:44

the loop

24:45

>> and who is the

24:47

>> human right now of Neo.

24:49

>> I am a remote operator in a different

24:51

room in the building.

24:52

>> And what's your

24:54

>> god bro?

24:55

>> Yes.

24:59

>> Facing operated like this in the first

25:01

place or real world.

25:03

>> I was I was on the moon.

25:05

>> Now I'm like an asteroid about to hit

25:07

the [ __ ] dinosaurs again.

25:09

I'm about to crash.

25:10

>> I'm going to crash the [ __ ] out, bro.

25:12

Like, this is a scam.

25:14

>> This is I'm My day is like I actually

25:17

thought like, bro, are you kidding me?

25:20

Are you kidding me? It's literally just

25:21

Kyle. It's just Kyle controlling the

25:24

robot and it still doesn't work.

25:27

>> The videos of the robot doing things via

25:29

tea operation become the training data

25:32

to make the AI model smarter. That's why

25:35

1x is putting

25:36

>> it's just going to take so many hours.

25:38

They're just not going to have enough

25:40

users buying this stuff to actually pull

25:41

that off for a very long period of time

25:43

and they don't have the capital. But

25:44

they are raising a lot of money. They

25:45

did a great marketing piece here. It's

25:47

just a scam. It I I wouldn't be

25:50

surprised if in a few years this company

25:52

>> to take

25:53

>> How do they not ask about having sex

25:55

WITH THE ROBOT?

25:56

>> OH GOSH. OH, is that like the fourth

26:00

time I've heard him say it? Damn it. How

26:02

do you get lullabyte for 20 minutes in

26:06

your video and then you realize it's a

26:08

[ __ ] scam yet even after you realize

26:11

it's a [ __ ] scam, you go right back

26:13

to, so when do we have sex with it?

26:14

>> Why not advertise these [music] things

26:16

that you told us here? I feel like

26:17

nobody else knows about this.

26:18

>> We'll we'll try a little advertising and

26:20

see how it goes.

26:21

>> Congratulations, man. You have done so

26:22

much. People love you. People look up to

26:24

you.

26:24

>> Kevin Praath there, financial analyst

26:26

and YouTuber. Meet Kevin. Always great

26:28

to get your [music] take.

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