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Marques Brownlee
The Problem with this Humanoid Robot
The Problem with this Humanoid Robot
Marques Brownlee
·
16:11 · Oct 30, 2025
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0:03
(upbeat music) - Okay.
0:04
We have to have a conversation about this.
0:06
I feel like it's been a minute since I've done just an old school
0:09
straight to camera rant video,
0:12
but this has been all over my timeline lately,
0:15
so I feel like I have to.
0:16
So meet NEO, potentially, the most futuristic product we've ever seen.
0:22
This thing is a full-fledged humanoid robot, 5'6", 66 pounds,
0:27
four-hour battery life, self-charging, and it lives in your house.
0:31
It's finally here.
0:32
Get your mind out of the gutter.
0:34
It's for doing chores.
0:36
It's a housekeeper.
0:37
It has the same dexterity
0:38
as a human because it's shaped just like a human,
0:41
walks around on two legs, has 10 fingers.
0:45
It can fold laundry and put it away for you,
0:47
or it can do the dishes for you from start to finish,
0:50
and then put everything away.
0:52
It can go around and water the plants outside or inside,
0:55
on a perfect schedule, and it never forgets a single plant.
0:58
And then it'll go around
0:59
and vacuum and tidy up the house
1:01
if anything gets left out.
1:02
It always knows where everything is.
1:04
It can find the TV remote,
1:05
and it'll basically actively do all the chores
1:08
that you know you have to do
1:09
but you don't actually want to do.
1:11
And when it's done,
1:12
it goes back to its little docking spot and charges itself.
1:16
Imagine going out for the day of work
1:17
and coming back a few hours later,
1:19
and everything's done.
1:21
All the chores are finished every single time every day.
1:24
You never have to do chores again.
1:26
That's amazing.
1:27
Or maybe let's say you have mobility issues,
1:28
this thing can sort of act
1:30
as a personal assistant in a lot of ways.
1:32
These are things that represent massive value for a lot of people,
1:36
and it's available to order...
1:39
Now?
1:40
This is available to order?
1:42
This feels like it could be the best tech announcement of all time,
1:45
in 2025, except this isn't real.
1:49
And I mean that in the most literal way possible.
1:52
This is not real.
1:54
First of all, it's a pre-order.
1:55
So you can go to this website right now
1:57
and you can pick between three colors,
1:59
and then it's either 500 bucks a month subscription for a standard delivery,
2:03
or you can pay a flat $20,000 to own it outright
2:07
and get priority delivery.
2:08
Just drop a $200 fully refundable deposit to get in line today,
2:12
and deliveries in the US start sometime next year, and that's just allegedly.
2:17
We don't know when it's actually gonna ship.
2:19
Now, to be clear,
2:20
it's not actually the price that I have a big problem with.
2:23
I know these numbers seem eye popping on paper,
2:25
but this is a first generation bleeding edge humanoid robot assistant.
2:30
Like I never thought that this would be cheap.
2:32
And also there isn't really competition yet.
2:34
So you gotta imagine the target audience is gonna be people whose time is
2:38
worth more than the money they're spending on it.
2:40
This is for people who the idea of saving a few hours on chores
2:43
every week so that they can use
2:44
that time to make more money actually makes logical sense.
2:48
People really think like that.
2:49
It's for early adopters.
2:51
It's for people who wanna spend however much they think it's worth on this
2:54
brand new novel thing.
2:56
That's fine.
2:57
But my issue with this product is the gap between what it's actually capable
3:04
of today and what they're promising
3:07
as they take your money today.
3:10
I think when people watch a video like this,
3:12
they expect that this robot has some sort of built-in artificial intelligence
3:17
that allows it to recognize objects
3:19
and navigate around on its own,
3:21
and learn your house, and be productive for those hours while you're gone.
3:25
And that I think would be a reasonable thing to get out of watching
3:27
that video because that's what it's designed to show.
3:30
That's what you're supposed to feel.
3:31
That's the dream.
3:33
But that's not actually what's happening.
3:35
So Joanna Stern, the legend, she did a video with this NEO robot,
3:39
also this week, where the company showed her all the things
3:42
that it could do.
3:43
And turns out, 100% of the things
3:46
that they showed her were remotely controlled by a human in another room wearing
3:50
a VR headset with controllers.
3:52
That's not exaggerating. 100% of the stuff they showed her, the carrying things around,
3:57
the loading up the dishwasher.
3:59
I mean, look at this thing. (gentle music) Yeah, all of this is teleoperated,
4:18
and this was a demo set up by this 1X company.
4:21
So this is like best case scenario stuff.
4:22
And I see a lot of people defending this robot online, like, "Oh,
4:25
there's probably other things that it can do autonomously.
4:27
They just didn't show her yet."
4:29
Really?
4:31
you don't think they would show her the best stuff
4:33
that this could do autonomously to keep selling the dream?
4:36
If you watch that keynote video back, to their credit,
4:39
you'll notice that they actually are very careful to label exactly
4:43
when the robot is doing something autonomously
4:46
and not teleoperated.
4:48
And in that whole nearly 10-minute video,
4:50
there's exactly two scenes that have this label.
4:53
There's the get the door command. - Can you get the door,
4:56
please? - Where the robot walks over to the door because someone's coming up.
4:59
It grabs the handle, waits for the guest,
5:01
and then sort of pulls the door open and fumbles backwards a little bit,
5:05
kinda like a toddler, to let them inside.
5:07
And then there's the put away the dishes command where the robot toddles over
5:11
to the person recognizes the harmless not glass empty cup in its hand,
5:16
grabs it, and then walks away with it.
5:19
Cool.
5:20
No, seriously, that's actually pretty impressive.
5:22
Even if I could already today unlock the door with my Google Home
5:27
and a smart lock,
5:28
which is my voice,
5:29
there is something at least a little bit futuristic about a humanoid robot going
5:34
to do that.
5:35
That's part of the dream.
5:36
It's doing it autonomously.
5:37
But then that also means
5:38
that everything else happening in this video
5:41
and everything else we've ever seen this NEO robot do,
5:44
we can safely assume is remote controlled.
5:48
So the gap between what this product can actually do today
5:53
and what it can maybe hopefully do someday in the ideal future,
5:59
it is massive.
6:00
They're massively far apart.
6:01
And so that's really my main issue.
6:05
There seems to be a bit of a lost art in waiting for a
6:08
tech product to be actually finished before announcing
6:13
and unveiling it.
6:14
Do you remember when tech companies would unveil a brand new tech product
6:17
that they'd been working on,
6:18
and then do a demo.
6:19
And then the next slide was like this thing is going on sale tomorrow,
6:23
or next week, or something like that.
6:24
And that hype would carry right into the buying cycle.
6:27
You remember that?
6:28
That was sick.
6:29
But now, in this age of all these AI products,
6:32
it's like there's this thing where you end up selling the dream before you
6:38
sell the actual product.
6:40
And that is dangerous.
6:42
The promise of AI is so huge, and so massive, and magnificent, and awesome,
6:46
but is also so clearly not done yet
6:48
that you end up with stuff like the Humane Pin,
6:51
or even the Rabbit r1 for example,
6:54
or heck even Apple Intelligence where you have these big promises,
6:57
but the capabilities are still over here
7:00
while the promise is all the way over here.
7:02
And I'm trying to figure out why they do that.
7:04
And I think really there's two main reasons, and believe it or not,
7:08
I think Tesla self-driving is a really perfect parallel example for a lot of
7:13
this stuff.
7:14
See, basically, in order for this robot to be everything people want it to
7:17
be,
7:17
they need to develop a super smart AI system
7:20
that looks through the robot sensors
7:22
and is able to learn its environment
7:24
and recognize everything it's looking at
7:26
and teach itself to navigate
7:28
that environment and perform tasks.
7:30
It has to learn what a laundry room is
7:32
and what the laundry looks like
7:34
and how to fold each type of clothing,
7:36
and it needs to learn what cups, and forks, and glasses are,
7:39
and how to pick them up.
7:40
And it has to be adaptable to all these different sizes, and shapes,
7:43
and materials, and things of all these household objects.
7:46
So that when the user asks for it to do something, just like, "Hey,
7:50
NEO, vacuum the living room when I'm gone," or something like that,
7:54
then NEO can go, "Okay, I know where the living room is.
7:57
I know where the vacuum is.
7:58
I know how to use the vacuum, where the handle's at,
8:01
how much battery life I have,
8:02
how much I need to vacuum the whole living room.
8:04
I know not to knock over lamps or certain objects in there."
8:07
And even the laundry folding thing,
8:09
just that requires a ton of training data
8:11
or at least some way to understand all these different shapes of shirts,
8:15
and jackets, and hoods, and vests, and all sorts of things, and hooks,
8:19
and hangers, and what gets folded, what gets dry cleaned, all these different things.
8:23
And the list just goes on and on.
8:24
And like, what if one of the tasks is going
8:26
and getting the right medication for an elderly person,
8:29
bringing it to them?
8:31
It has to get that right.
8:33
It needs to identify the correct medication at the right time
8:37
and the right intervals,
8:38
and bringing it to them.
8:39
That is one of a ton of household objects
8:42
that it has to specifically get really good at.
8:45
Now, in the self-driving car world, no matter what you think of them,
8:49
Tesla's definitely a leader here,
8:50
and they've had a pretty clever approach to trying to work on this problem.
8:54
Because their problem is their robots on wheels need to learn all these possible
8:59
variations and ways to navigate situations
9:01
that could happen on the road,
9:03
and how to get around them, traffic cones,, construction zones, weird lane markings,
9:09
et cetera, et cetera.
9:10
So, with their millions of cars already on the road, they have slowly,
9:16
very slowly let people turn on this beta self-driving feature in small stages in
9:22
their cars while instructing people to keep their hands on their wheel,
9:25
of course, so that they can slowly start to gather information from people willing
9:30
to beta test.
9:31
And so those cars will encounter
9:33
and navigate all sorts of situations for the first time,
9:36
and then the second time, and then the fifth time,
9:38
and then the 100th time.
9:40
And all this data can go back into the system to help all these
9:43
cars learn and get better.
9:45
And now at this point, this is their primary advantage,
9:48
is they have millions
9:49
and millions of miles of training data from people essentially beta testing for Tesla.
9:54
It's a robotics challenge, it's an AI challenge, but yeah,
9:58
they're essentially using early adopters to beta test to make the systems better for
10:04
the eventual masses.
10:05
And now, this home AI robot challenge is essentially the same thing,
10:11
but in people's homes, which is potentially way more variables.
10:16
Cars have to stick to what's on the road
10:18
and mostly are operating in a 2D plane,
10:21
while there's obviously different...
10:22
People's houses are crazy different shapes, and there's all sorts of objects,
10:25
and different shapes and types of them
10:27
and a million different variables just with household objects.
10:30
And maybe you could argue
10:31
that the stakes of self-driving cars are a little higher
10:34
because of all the safety risks.
10:35
And if it messes up, someone could die.
10:38
Maybe that doesn't happen as often with the home AI robot, but then again,
10:42
if it gets someone's medication wrong, it's still pretty important.
10:46
So, I think the point here is you don't get to make this awesome
10:51
perfect home robot without all of this information.
10:55
And so they need the training data
10:57
and so they go right back to early adopters.
11:00
So people who press that order now button first and who actually, I guess,
11:04
get one of these when they start to ship them,
11:06
will get a robot that can probably do a few simple things autonomously,
11:10
like opening doors, but there will be many things it can't do.
11:14
And for that, if you scroll down on their website,
11:16
you can see there's expert mode,
11:18
which is when you have something the robot can't yet do
11:21
and you schedule one of their teleoperating employees to look through the sensors into
11:25
your home and do the task
11:27
so that the robot can learn from it.
11:29
And this is something
11:31
that they've pretty directly said
11:33
that they expect early adopters to be totally cool with.
11:36
Go watch Joanna's video, I'll link it below the like button.
11:38
She basically grills the CEO about all this stuff,
11:41
and he's kind of just like, "Yeah,
11:43
if you wanna be on the bleeding edge of this...
11:47
We'll probably blur faces and maybe let you geofence certain areas of your house,
11:51
but yeah, that'll be one of the things that they allow you to do."
11:54
So, look, there are certain industries where pre-ordering something that's not finished yet is
12:01
actually normal behavior.
12:02
This happens all the time with smartphones now.
12:05
This happens in video games, even happens a bit with cars these days,
12:09
although sometimes that can even go too far.
12:11
But now with all these AI products coming out now,
12:14
it's resulted so many more times in this strategy.
12:17
They feel like they have to announce the product way before it's done,
12:22
and they end up putting out this thing
12:24
that is just nowhere near the dream.
12:27
And that's how you get...
12:29
We talked about the Humane Pin.
12:31
Doesn't that sound familiar?
12:32
Getting announced with such a high potential ceiling
12:35
and promising that this could maybe be a post-smartphone world type of gadget,
12:39
but it was just absolutely not good when it came out,
12:42
and not enough people were willing to beta test something with
12:45
that miserable of an experience.
12:47
And then the Rabbit r1, like I said, that's another one.
12:49
They are surviving and they're improving, but absolutely with those early adopters.
12:54
But a $20,000 5'6" humanoid that wanders around your house and does chores,
13:03
are there really that many people you think
13:05
that are willing to spend
13:07
that amount of money
13:08
and know that they're gonna have to potentially give up some pretty serious privacy
13:12
and are basically going to be a beta tester for some unknown number of
13:16
years to hopefully maybe someday achieve
13:19
that dream?
13:22
Some of those people are out there, but is there enough of those people?
13:24
I don't know.
13:25
I clearly don't know, and I think a lot of other people don't know.
13:29
There are obviously a lot of potential downsides to this robot.
13:33
It's too small and weak to carry anything super heavy.
13:35
It's also too slow and a bit too clumsy, it looks like,
13:38
to do anything really serious.
13:41
And it requires inviting a ton of remote viewable cameras
13:44
and microphones into your house,
13:46
and it could also fall over and have a hard time getting up.
13:48
And also, just like the self-driving car,
13:50
there are a number of situations where the robot getting enough things wrong could
13:54
be dangerous.
13:55
Even just the medication stuff that I talked about earlier,
13:58
or even it just clumsily dropping something made of glass,
14:01
or any other various potentially dangerous household situations.
14:05
And also, I'm not even sure it has to be human shaped,
14:10
but that's another argument for another video.
14:13
But the upside clearly is the dream.
14:17
Like Rosie the Robot from "The Jetsons" type of dream,
14:20
a personal assistant that seamlessly goes around your house
14:22
and quietly does all the stuff
14:24
that you don't wanna do
14:26
and does it better
14:27
and faster as time goes on,
14:28
and does it in quiet hours of the night.
14:31
The point is this is the new AI promise problem that we have.
14:36
It's not just this product and this company.
14:38
This is the most visible one on all our timelines right now.
14:41
But it's like all these AI products are promising the world way,
14:47
way before they have a product that's ready to actually show anyone
14:51
and take money for it.
14:52
And theoretically, this is what we want AI to do.
14:55
It's not just like AI-generated videos and slop and random copyright infringement.
14:59
We want it to be doing actually useful, productive stuff.
15:02
That's not the issue.
15:04
It's just the gap.
15:05
The gap, that's the issue.
15:07
And closing that gap is so, so hard.
15:10
And this is one of the obvious examples.
15:12
The people that would benefit most from the ideal version of this robot,
15:16
like the elderly or people with disabilities,
15:19
are the least likely to become early adopters.
15:22
So it's tough.
15:23
I can actually applaud them for showing everything
15:25
that they did to Joanna in
15:27
that video.
15:28
Fun fact, they actually reached out to me 10 months ago in January from
15:33
a random Gmail address offering to do a sponsored video.
15:36
I didn't respond.
15:37
I didn't think it was anywhere close to real
15:39
or worth doing a video
15:40
or talking about,
15:41
but we'll see how this ages.
15:43
We might look back at this in 12 months,
15:44
and everyone everywhere shipping great AI products and humanoid robots,
15:48
and it's all a dream, and I look like an idiot, in which case,
15:51
great, we made it through that gap somehow.
15:54
But history seems to be suggesting that I'll probably be right about this one,
15:58
at least for now.
16:00
But, hey, subscribe to see me in my words if I'm wrong.
16:03
Thanks for watching.
16:04
Catch you in the next one.
16:05
Peace. (gentle music)
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