I'm a researcher at Deepmind that contributed to these models. (And the opinions here are my own)
Just want to say, Deepmind is a great place to work and the only (Edit: one the few unique labs!) lab where you can move from large frontier models (Gemini), frontier open models (Gemma), robotics (what you see here), science (weather, biology, more) and basically any other topic related to intelligence. It's really an incredible place to be, with incredible people. Consider joining! And thank you for the enthusiasm here.
I’m a mechanical design engineer (10 years) turned software engineer (7 years in autonomous vehicles). Is there a particular role you would recommend for someone with my experience?
Would you mind expanding on the difference between frontier model development and open model development? I was under the impression that they were nearly the same thing and would thus be handled by the same team. My impression is that open models tend to go through more safety testing and are generally smaller, but are otherwise the same thing. Shouldn't most of what is commonly referred to as 'AI research' be applicable to both?
I do think Allen Institution for AI (AI2) is has coverage across most of these domains ( albeit their frontier isn't nearly so far out, hopefully the $152m NSF awarded them + Nvidia is a fruitful partnership there).
Totally fair and thank you for nit picking! I edited my comment. AI2 is doing amazing stuff, I read their papers and code all the time and appreciate how open they are.
What happens when those ideas need to be scaled into real products, though? For instance, I can't really imagine Google being fully committed to manufacturing and selling robotic arms at scale.
I don't think OP's "Why do people ask employees this stuff" question implies you _shouldn't_ ask, but rather wonders why people even ask when you're obviously not going to get an answer (and if you do, it'll be a non-answer filtered through PR/HR/MR/etc).
Why work there when you can start a company? You get to choose the problem you care about most, the people you work with, and your own pace—and if it works, you own the success.
Why accept all the rules Google will force on you, are those rules optimized for you or for them?
While Anthropic and Open AI get 80% of the attention here, it's impressive to see how much Google is doing: near frontier model, fast models, open weight models, image generation, video generation, music generation, robotics, etc.
It's certainly an odd situation where Google is on the forefront of all these emerging technologies while the latest chatbots from OpenAI and Anthropic are getting breathless press releases and wildly hyperbolic coverage ("rogue AIs" "too dangerous, must be banned" etc...)
Google acting like a normal but competent company that's just chugging away, meanwhile the hype cycle is propping up its upstart competitors to truly ludicrous valuations.
> Google acting like a normal but competent company that's just chugging away
Competent is a stretch. Google's AI offering seems to be, once again, PM led–lots of constantly-changing brands being merged and deprecated with zero customer support or service.
They'll almost certainly be one of the survivors. Their technical competece is unmatched. But that doesn't mean they have a great product in the way both OpenAI and Anthropic do. (Outside their datacentres, which are a legitimate feat.)
> Google acting like a normal but competent company that's just chugging away,
Chugging away not releasing products or releasing ones worse than their competition typically. Not sure that’s what a normal competent company should be doing.
Google wins on infrastructure and creativity (NotebookLM, etc) but entirely lacks product coherence. The ecosystem is a mess, just like Microsoft's offering, and I don't think this is a coincidence but rather a symptom of the type of company in which these two companies have evolved.
Furthermore, Gemini is just all around a less trustworthy and mature model, for many reasons. Very smart but lacking the precision and holistically exhibited in the more recent models from OpenAI and Anthropic. On the flip side, Google's work on Gemma is unmatched.
I can say a portrait doesn’t look like a person even if I can’t do better, googles product range is an absolute mess and using it is a nightmare - I don’t know how to fix the company but I know the outcome is bad.
I won't comment much on this, but I'd say these articles are 2-3 years late and reduces the agency of the people, who in many cases moved to Gemini because they wanted to work on LLMs
The thing with drug discovery is that the bottleneck is not coming up with new molecules, etc. It's the multi-year, extremely expensive clinical trials that often don't even succeed. I doubt it will be a big moneymaker for Anthropic and OpenAI, because the best they can hope for is to sell a software product to pharma companies, but the pharma companies already have lots of scientists with a million promising molecules already in study they will never even make it to clinical trials.
In other words, can AI tech help? Probably, but I doubt it's going to be a major money maker, and it won't make a ton of money overnight. It's not like Claude Code where every programmer can begin using it instantly.
If you had asked HN 3 years ago what would code-generating market would be, they would have used the exact same reasoning and given us the opinion "Why no one will pay for glorified auto-complete"
The idea that AI curing cancer, heart disease, aging (you get the idea) won't be a money maker because "clinical trials" is absurd. Of course it will be. Obviously it isn't the same thing as coding agents. But a lot of money makers aren't the same things as coding agents.
In order to cure cancer with AI, you would need to give it complete control over the experimental pipeline, including probably direct robotic access to a web lab, which comes with its own set of risks. It's just not the same problem space as coding at all.
If that ends up being true, they should be very surprised.
We're looking at ~$725B combined hyperscaler capex in 2026 (on a path to $1.08T by 2028) against roughly $25B of AI service revenue in 2025 on $250B+ of infrastructure spend. By 2030, the global data center build-out will require $6.7 trillion in capital expenditure. If hyperscalers require a 25% return on AI-specific capex, the industry needs to generate ~$169B in AI-attributable revenue annually by end of 2028.
A flexible compute market plus three well-capitalized competitors plus Google's internal silicon means nobody gets to hold price. SpaceX's public offering is the best signal we have on this type of thing and it's down 15% from offer price.
It's incredibly unlikely that BOTH OpenAI and Anthropic will be "obscenely" profitable in the next few years. Also very unlikely that even one will be "obscenely" profitable in the next few years.
It is more likely (but still not very) that they both will be simply profitable (not obscenely).
The most probable scenario is that ONE will be somewhat profitable (probably Anthropic) and the other still burning.
You know SpaceX is still publicly valued at $1.5T marketcap, right? (offering price has nothing to do with anything other than ego of founders/bankers).
Yes, I will wait for the correct valuation when all stocks enter the liquidity pool.
OpenAI/Anthropic obscenely profitable is an easy bet (for me)
Seems unlikely. All three market leaders have roughly equivalent products, even ignoring the Chinese models. Google is better vertically integrated, as well. They'll end up competing on price, or worst case capacity rationing.
These robots look slow and not very fluid in their motions, but LLMs like ChatGPT also looked very dumb initially. If progress is as fast as LLMs , this could have massive applications in a few years.
For house keeping tasks the robotics companies love showing off... it honestly doesn't matter if it takes a robot longer than a human to clean your house. As long as it gets done before you get home from work, no big deal.
I'm bearish that they'll be economically viable in the house for a very long time.
For businesses the bar for adoption is very low: If the thing can work repetitive jobs for 24 hours a day and replace 3 shifts, the purchase bar is nominally anything less than 3 x human salary if your budgeting horizon is 1 year. That's a high number, and probably fairly easy to achieve.
For homes, it's a very different bar. You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag. Currently that's pretty much impossible for a humanoid.
I think house cleaning/chores require at least a "part-time" job's work of work for the average household (especially with children). We may be atypical, but my partner and I don't want to hire out a cleaning service and deal with the whole human component. But, I think we'd gladly pay 15k+ if it allowed us to take on the additional gainful workload. Even at a 20k price tag, I suspect we would likely have made up the difference in under a year.
If you can even afford 20K you're in the top 10% of the US population. It's not a very big market, and even selling to that market is hard. Probably only 10% of that 10% will actually buy, and all of a sudden you're selling to 1%.
Selling to businesses is much easier, 99% of businesses can afford 200K if it replaces 3 x 70K humans.
Your napkin math only shows that the market is identical. There's about 35m businesses operating in the US. So by selling to 10% of those you sell the exact same number of robots...
I pay $200 every 2 weeks to have a 3000 sq ft house cleaned.
That's about $5200 a year to fully clean a house. And it's a human, so they can also tidy up, clean out the refrigerator, do my laundry, water my plants, etc.
Actually the high income households are becoming a greater and greater share of spending, referred to as the "K shaped" economy. For example, the top quintile of households accounts for about 40% of all consumer spending.
I don't think a cleaning robot and a vehicle are in the same category, as vehicles are more a necessity (at the very least to get to and from your jobs, to buy groceries, etc) and a cleaning robot is squarely a luxury.
A car saves you time walking/biking, a robot saves chore time. Depending on depreciation, it's feasible that you could go do minimum-wage level work on Doordash using the chore time you save from the robot and still come out ahead. E.g. 5 hours/week at $20/hour = $5200/yr
Only way I can see that happening is if you somehow get fired for not folding your laundry, in the same way people are fired when their car breaks and they can't make it to work.
Robot lawnmowers are mostly over $1000 already and they only do one thing. Heck, a lot of lawnmowers are over $1000.
You can pay over $500 for an automatic cat litter box. Robot vacuums can be cheap but run to $600 or so. Household appliances is a robust sector where people have a proven track record of spending a lot of money.
Automatic litter box is a great example. We've had one for ~7 years and it's still going strong. High initial cost that pays back every day over the course of what will likely be a decade+ of usage. Absolutely worth every penny if you look to the horizon. I imagine the robot mowers and robot house maids will fall under the same type of payback but with even higher upfront costs - perhaps this will turn into yet another subscription scheme.
Not OP, but I have a litter robot 3 that is still going strong after 10 years, and a litter robot 4 that is around four years old. The only problem I've run into is occasionally the pinch sensor will get bits of litter stuck in it and I have to take the globe off and tap/push on the sensor housing, then it will allow cycling again.
It is all about the ROI. A lawn cut from a professional can cost anywhere from $25-$100 on an average (per cut). So with a $1000 lawn mower, you will get the return back in 10-40 cuts at most. That is less than 1-2 seasons. Sure, there will be some maintenance cost over the years but if you look at a 5-10 year period, it is totally worth doing your own. Even with the $1000 price tag. Of course, you cannot count the labor time.
For all of these things, then what's the point of having a humanoid robot then? The last thing is a folding laundry bot that I would happily also pay $1000 for.
This is my dream for a house chore robot. If I could dump hampers of clothes into a receptacle and get stacks of folded clothes out, I’d happily pay $1k. Household of 5; my kids each produce 3-4 sets of clothes a day (sleep, school, sports, after school). I run wash in AM so dryer finishes before 3pm (pg&e ToU) and then I’m focused on other things for rest of day. More often than not, I get to bed to find a near full hamper of clothes dumped where I sleep and then have to sort/fold/deliver. Bonus points if robot can sort different items to different stacks/bundles.
I don’t need AI/robotics to save me time from having to think, research, or code… I need AI/robotics to save me time so I can think, research, or code.
I have personally never met someone with a personal robotic lawnmower, and I suspect that if you have you live in a bubble that is severely biasing your view of the average American.
> For homes, it's a very different bar. You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag.
There are plenty of white collar employees in cities paying $500+/month for someone to come clean their home. As one of those people, I could easily see paying low five figures for something like this if it actually worked well and could replace most household labor.
Most consumers? Sure. Upper middle class consumers? They're the sort more likely to buy cars with cash if they're dissatisfied with the value of the financing offered.
As with most things, it'll cater to that demographic and then filter down.
Cars are an absolute necessity in the US unless you live in one of the small handful of cities that have viable public transit. Different thing altogether.
Robots aren't a necessity, and for a price tag in the tens of thousands, most people will just mop their own floors and do their own laundry.
> Robots aren't a necessity, and for a price tag in the tens of thousands, most people will just mop their own floors and do their own laundry.
And (regardless of the costs involved) if I were going to pay money to not do this stuff myself, I'd rather pay a human to do it because I know there are humans out there that could use the work and I value them much more than I value Google and other corporations making even more obscene amounts of money selling future e-waste.
That's really more of a financial literacy problem though. People don't see $45k car, they see $600/mo payment. And car dealers very much sell on the payment and not on the actual price.
nit: 45k is the average car loan for a new car, but average for a used car is $25k. Purchasing a car is a necessity but purchasing a new car is a luxury.
Leasing seems like it could make sense given rapid upgrades in the technology. Why spend $15k on a home robot that will be obsoleted in the next few years?
it's not cheap at all and the privacy and logistical implications of letting a stranger inside your house is something not everyone wants to deal with. I would rather have a robot.
Not to pull on the tinfoil hat, but I would assume most commercially available home cleaning robots will be covered with cameras, mics, and other sensors, and connected to their manufacturer's cloud... I don't pay for housecleaning, but I would vet humans quite differently.
I don't trust a robot with my privacy, but I know Linette isn't building a profile of my shopping habits and Wi-Fi traffic. She is also careful to not let my cats out.
People are financing small consumer goods with 3 digit price tags because they can't afford their mediocre already leveraged life. They borrow high 4 to low 5 figures for a car because they can't get to work to earn money so they don't have to join the bums sleeping on the cardboard. They will not be borrowing high 5 figures to low 6 figures for Rosie the Robot.
If Rosie was the only output she would never happen. Rosie might happen as a side benefit of replacing American workers but only for the rich people.
The vast majority which may be replaced would probably be better off burning down the factory rather than celebrate their upcoming domestic helper.
Another huge blocker (that is essentially just cost too) is maintenance. These things are like 1000x more complex than a car, need to work in a diverse range of environments, handle water, household chemicals, different humidities, kids, etc… maybe eventually robots will service robots but that seems very hard!
And talking of kids, these will have to be exceedingly safe, a 6ft machine falling on a child is probably a worry most households could do without.
We'll probably get there in some shape or from but I agree, we're absolutely not there yet. I don't see humanoid robots normalized in households anytime soon but at the same time they'll probably be a thing outside the home.
Unitree's R1 humanoid robot is only about $6000, and it's still a nascent, smallish scale technology. They will come down.
If the future home robots are any good, it saves you from buying a dishwasher and robot vacuum. It can replace a maid/cleaning service and gardener/lawn-mowing service. For anyone paying for those services, it pays for itself.
$1000 isn't that high. Probably about a third of American households have an appliance over $2000, which is still a massive market.
I doubt it'd save you from purchasing a dishwasher - those things are very efficient and not very expensive. Perhaps it'd save you from loading and unloading a dishwasher
You never know the future but imagine the people who were bearish on personal computers when it wasn't a thing yet but was being discussed. Imagine Email, Internet etc etc. Now they are commodities. I am sure one day AI Robots will be a commodity that we could buy for $1000. May be 10 years from now. But it is coming.
if all it could do was operate a lawn mower and a shovel, the annual value to a homeowner in the north east is ~1-2k depending on lawn size assuming they value their free time at the same amount as their hourly wage.
what you have to keep in mind is homeowners salary is way above avg salary so anything you can do to effect them has a much larger impact than it would seem at first.
Yeah if you can afford the probably 10x it will actually cost, you can also just afford a cleaner to come twice a week and be able to do a wider variety of tasks (anyone going to trust this with ironing?)
> You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag.
They all have cars. Turns out you can finance things, and turn them into forever debts. Paying $30K to never have to do chores again, or maybe even cook again, and live in a clean neat environment is not only an amazing proposition that opens up a lot of free time for people, but will also have a lot of social pressure behind it. We have social pressure that causes people to buy >$1000 phones to virtually no marginal benefit over $20 phones.
They will be paid off at $500/mo over 10 years, and most renters might just use the one that came with their apartment. If they're more like $80K or $100K I could see having a problem selling them. But if they basically turned apartment buildings into hotels, they would be a bargain for landlords; just give them the keys.
edit: of course, sci-fi has already rehearsed this. You can watch any number of movies and tv shows with families walking through a robot showroom guided by a guy in a cheap suit offering to give them the best deal. I'm sure you could find written examples from the 40s.
if you give me a robot that cleans the house and can do dishes and laundry I'll easily pay the cost of a compact car for that. I know a LOT of working families that would feel similarly.
I think domestic robots will make a lot of incremental progress and that few, if any, will be humanoid. We'll see a laundry folder and sock picker-upper and they'll be more like roombas or just big cubes. And tethered.
The more likely scenario is that the hucksters currently hyping the idea of humanoid robots will gradually move the goalposts so that, when we eventually get a big, soft, stationary cube with six inflatable robot arms they'll point to it and say "behold, a humanoid robot!" and declare their predictions vindicated.
I mean, a twice-monthly house-cleaning service is running you ballpark 5k/year and people treat that shit as non-negotiable. I tried to claw back that line item after our second baby was born (wife didn't want them in the house anyway when we had a newborn), and it was completely unsuccessful. She claimed misery and all our friends were on her side.
$70 a go? That’s got to be the cash only person to person handshake agreement. That would never buy you laundry too.
I think I remember maybe around $100 including laundry almost 20 years ago and that was a cash type arrangement, weekly including laundry (multi hour visit).
There is a lot of variance in the price of cleaning tied to location. Cost of living in the area for sure, but also presence or absence of economic migrants and new immigrants.
Ours was a 1300 3b1b. It was $35 an hour, they finished everything in under 2 hours. I'm guessing(hoping!) they have to be there for more than 2 hours for $200?
1. 80%+ of Americans can't afford house cleaning services. I'm a software engineer in silicon valley and even I clean my own house because I don't think I can afford it. My rents have gone up by more than 5K in the last year, my salary hasn't, so that's coming out of my house cleaning budget.
2. Even if you can afford 5K/year on it, the cleaning service is not an upfront commitment. You can bail anytime when you get laid off and clean your own house.
I don't want a person I don't know very well in my space.
That aside: if I'm lucky enough to find a person who's good and reliable, they might move away, switch jobs etc.
It has all the headaches that come with hiring and managing someone, because, well, it is exactly that... If I don't want to be a manager at work (been there done that, happy to let others do it and get the raise that comes along with it), I sure as heck don't want to do it at home.
Then I have to deal with whichever random person they decide to send. I can't be the only one who finds this annoying (even if I'm not in the majority).
> I don't want a person I don't know very well in my space.
In the humanoid robot scenario, you'll get a surveillance device with a built-in microphone and camera beaming every intimate detail of your space to the highest bidder. Instead of getting one person you don't know very well in your space, you'll get thousands.
I might even get one as I like trying new tech if and when, but I have no issue with hiring humans either and humans so far "fail" very differently from machines (as in a lot of software). I find the latter far less predictable and controllable.
you don't need to be an introvert to find that line of reasoning short sighted. I'm plenty extroverted and I still don't want to deal with people coming to my house to clean it. It's very invasive and they rarely do a good job. A robot that I can "train" to do exactly what I need and constantly works in the background would be a HUGE value add to my lifestyle.
The difference might be that I don't believe in these "machine gods of cleaning" being the thing to arrive (looking at current consumer goods) and then the boundary for what to choose shifts a lot if one is willing to deal with humans. The latter also doesn't need to be so foreign, e.g., could be someone already working for a friend.
I feel like people who have high EQ should actually grasp the infinite depth and complexity of even the median human.
Just imagine, there’s a woman Alice who cleans your home once a month. On this particular day, she had a fight with her husband this morning on (something completely unrelated to you).
Do you expect her to check her emotions at the door when she enters your space? Or is she going to give really bad vibes while she is moving around your house?
With a robot housemaid, I wouldn't have to get dressed. :-P
More seriously:
- I wouldn't feel obligated to 'pre-clean' anything. Who wants to come across as a thoughtless/careless slob whose personal habits amount to borderline-abusive demands on the cleaning staff? Not me... and where does that line get drawn, anyway?
- I wouldn't worry about stuff being picked up and misplaced
- I have never had problems with maids stealing stuff, but I know others have
- Cleaning can be initiated or postponed as needed, with no dependencies on someone else's schedule
The last point I can get behind as it is a clear advantage, the other ones might need some more superhuman abilities that I'd not accept as given until demonstrated in extenso.
They can jerk themselves silly, IDGAF. When the 'Black Mirror' screenwriters get involved, though, I'll require some back-end participation of the financial kind.
(I'm being facetious here: nothing that transmits data out of the house is going to be deployed to run household robots, at least not in my house. Even if I didn't care, I can't make that call on behalf of family members or guests. Then there's the obvious concern that the robotics company would sell the data to my homeowners' insurance company, health insurance company, and who knows who else.)
Exactly. People buy those automated circular floor vacuums. Anyone can get it done with a regular broom/vacuum in a small fraction of the time it takes for those things. Just like I drive an electric car. It charges while I sleep. It doesn't matter if an ICE can fuel in a few minutes.
"That's fair, you are absolutely right I should not have unscrewed the water hose and put it away before turning on the valve to water the plants, even though you specified that order, I should've used some common sense."
There is going to be so much pain from VLA malicious compliance. If the current gen of LLMs are anything to go by I can already see it being an hilariously massive problem. People are careless.
This was my thought too. An unsupervised robot can cause 10s of thousands in damage by accidentally ripping a water line and flooding your house or just breaking all of your dishes. There’s no level to how dumb and awful LLMs can hallucinate
> it honestly doesn't matter if it takes a robot longer than a human to clean your house
it depends. in order for my slow ass Roomba to clean my floors, I have to move a bunch of things out of the way and not use the room.
on the flip side, i think this "the robot cannot automate the whole task" thing is reductive too. suffice it to say, EVERYTHING matters, there honestly nothing that "honestly doesn't matter."
The difference between gpt 2 and 3 was insane. 2 could generate limericks when it wasn't repeating a word 300x. 3 could actually do some things. By comparison gemini robotics has hardly changed at all.
I will also point out that slow, non-fluid robotics is on a totally different level of difficulty from fast fluid motion. Asimov could walk pretty smoothly, but it didn't fall over because it used a very careful sequence that was never unbalanced; you could pause at any point without falling over. Move faster, like boston dynamics, and you need to account for the change in balance from your arms swinging... or rather, you need to be able to account for the rotational inertia etc from moving multiple masses along complex paths with multiple points of articulation at hundreds or thousands of times per second.
An algorithm to fold tshirts 90% of the time is easy. The cloth hangs down by gravity and you can just look for right angles (corners), find their coordinates with binocular matching, and move them to meet each other. Getting 99%, or folding them quickly, so that the fabric is actually moving instead of just hanging still- incredibly, incredibly more complex.
> folding them quickly, so that the fabric is actually moving instead of just hanging still- incredibly, incredibly more complex.
TBF fabric is much more difficult to simulate than a bipedal body is.
As I recall openai had mujoco playing soccer nearly 10 years ago. Obviously real world bodies are much more difficult but I'd be curious to learn why that is.
Even being able to simply do the task isn't enough here. It also has to do the task while also never, ever, ever accidentally folding your toddler as though it were a towel. Having industrial-strength robots around inherently unpredictable humans in a fail-safe way is an extremely difficult problem that will not be addressed any time soon.
This is not the bar for societal adoption, and we can already see a demonstration that it is false.
A waymo is basically an industrial strength robot. It operates among inherently unpredictable humans already. There is no guarantee that it will never, ever hurt a human.
And yet in many cities around the world, you can call a waymo and ride it and society accepts it.
They're fluid, but they are slow, which is highly likely to be a safety thing, which will have the side effect of making many motions more difficult, not less.
LLMs aren't themselves hurting anyone, no matter how much certain people like to pretend otherwise, whereas an AI in a robot with significant motors in absolutely can and will. There are reasons industrial ones live in safety cages after all.
Expecting them to be like inverse kinematic driven digital dolls is wrong because the optimization won't be for matching that but something like "net reduce energy consumption" which for electric motors in multi joint arms will look a bit odd.
This is the first press videos I’ve seen of 1x speed that seems reasonable, imho. Though I see elsewhere they report only 50-75% success rate- not clear if that's first attempt, or total?
We don't get virtuous feedback loops in hardware though. Muscles are incredible engineering that took half a billion years. Token generation (speech) is low hundred thousands maybe. Unless of course improved AI navigates the space of ideas so well that it can give us alloys or synthetic flesh that does twitch as fast...
These robots are unusable in their current form. Slow and expensive, humans perform this work better and cheaper. Looks like every other robot before it, a bunch of servos and no brain.
Better to go slow and controlled. Giving physical action to a model is dangerous and must be carefully monitored. Slow is good. Oversight is important.
I've kind of given up on humanoid robotics, because of how bad the actuators are. There has been no innovation in robotic actuators since Honda's Asimo. There's just no way that someone wants a 80kg wobbling tin can in their home or workplace.
My bet is that the final robotic revolution will use genetically modified human/animal bodies with replaced brains. You'll have to stretch your ethics a bit, but if you grow a bear genetically modified in a way that it has no consciousness or thought, it'll make a much better construction worker than any humanoid robot. You'll just need to wire it up with neuralink and then control it via LLM. Fast animals can be used to deliver packages, and giraffes for warehouses.
Cortical Labs has been doing work in this area. They had a Doom demo a while ago.
I think it's a matter of tradeoffs. Perhaps you'd have biological version as a versatile all-around thing, but many tasks don't require that so likely the tin variants are more durable for many tasks. Also, in terms of reasoning, the brain bandwidth is very low and high latency so there are advantages to silicon chips there.
It's interesting to learn actuators are "behind". I kept seeing cool stuff in the 3D printing space and thought there's a lot of progress. I'd love to learn more.
I’m not even sure if you are joking there or haven’t thought your proposal through. Sure giraffes are tall, but they can barelly lift any weight. What use would a robotically controlled giraffe be in a warehouse?
> There has been no innovation in robotic actuators since Honda's Asimo.
I very much doubt this. If nothing else the MIT Cheetah’s actuators are a whole different ballgame compared to asimo’s actuators. (Backdriveability, variable stiffness) And then there is a lot of interesting work being done with combining elastic elements with the actuators.
Well, a giraffe could do jobs where you need to reach high, such as replacing a lightbulb. Sure, I'm half-joking.
Asimo used BLDC motors with strain-wave gearing, which is pretty much standard today on high-end humanoid robots. The only thing that has happened is that these are much cheaper today, and might be slightly more optimized.
Actuators on modern humanoids use cycloids or planetary reducers, not strain waves. They are much more compliant and backdrivable because of the huge reduction in reflected inertia.
this is a tangent but you should revisit your assumptions about giraffe anatomy. their necks actually weigh a tremendous amount and are kept upright by an interesting system whereby they actually stretch this giant tendon to bend down and the tendon's tension lifts it back up. super cool to learn about - they dissect one in a documentary series I can't think of just now.
It was Richard Dawkins dissecting it IIRC in front of a lecture hall where he makes a point that if there were a God designing animals, he wouldn’t have made this insane thing.
That is a truly terrifying future to imagine. Fortunately I would hazard to guess the medical technology to accomplish something like this is very, very far away. Not only because of the raw technological challenge, but also the barriers to development that scientists, doctors, and engineers would face before even being allowed to conduct experiments.
I do agree though the humanoid form is a dead end for robots. Just build giant cubes that process inputs and give outputs, like a dishwasher. Why wash dishes with meat wand tentacles or try to recreate meat wand tentacles when you can accomplish the job in a wholly different way with far greater efficiency...?
Where's the clothes foldeing cube? Analogous to the clothes washer and clothes dryer.... the clothes folder...
Why stop at dishwashing...? Sell an entire integrated robotic kitchen.
Dedicated machines can obviously solve an issue more efficiently, but it’s still good to have a machine that can do most things adequately.
As an example, you can have an automated washer, dryer, and folder, sure. But what if you wanted to automate the retrieval of dirty laundry and the delivery of clean laundry ? That would need to be some sort of robot to travel throughout an environment (fit through human sized areas, open doors, walk steps) to collect and deliver things. And if I have a robot roaming around the house, I would prefer to just buy one robot that could do many things rather than have to buy it to just collect things and more expensive machines as well.
I think the only real barriers are ethical. I'm pretty sure we'll figure out to do a completely synthetic biological robots without any kind of biological brain in the next 10-20 years, and they don't even have to resemble animals or humans. This should alleviate some of the ethical issues.
That seems like a problem orders of magnitude harder than making a humanoid robot. We haven't even figured out how to make hamburgers without cows at a marketable price yet.
> We haven't even figured out how to make hamburgers without cows
Isn't that OP's point? Engineering muscle and sinew is harder than coming up with the control software. The cheapest way to a robot thus emerges as just taking the natural stuff and adding an artificial brain to it versus trying to re-engineer the bones and muscles with metal and plastic.
I could not disagree more with the claim about no improvement in robotic actuators.
The torque density and price of actuators has fallen dramatically since Ben Katz's MIT work on mini cheetah. The actuators on the Unitree G1 based on that work are powerful for their size and near quasi-direct-drive. The motors on the BD E-Atlas are completely passively cooled and appear to have really good torque density. Actuators have never been improving faster than they are now.
The world can't support the number of bodies on it already, and you're proposing adding mindless meatbags that still need feeding and their waste managed? Are you going to accept an amazon package that's had giraffe poop sprayed on it while picking, or change your meat-robot's diaper? I didn't think so.
Can anyone that works on this technology provide an honest assessment of where this technology actually stands? How much instrumentation is actually required, what the interaction quality is, how much trouble do humanoids have with in the wild daily tasks like turning doorknobs, recovering from falls, avoiding knocking into things, etc.
I work in this field, and I wrote my bachelor's thesis here, not with humanoids but with VLAs (think chatgpt connected to a robot arm)
It's certainly not there yet for anything practical, there's also certain bits and structures that don't have accurate names during construction, and it is important to keep that in mind - so a robot is unlikely to understand what it means to say "put the left bit of this box onto this right bit" due to ambiguity, a human would understand that
Plus we have no good reliable accuracy testing data in most cases (most tests occur on a few demos, but that isn't a good representation of how must things work), popular benchmarks, such as libero have been saturated, and nearly everything gets 95% there, most companies and researchers have their own benchmarks here.
Plus companies lie alot, and do very dangerous things in thier videos, I.e. these robots should not be standing very close to humans, because of being dangerous.
There are also legitimate concerns of misuse of these robots that need to be accounted for, misuse does not have to be warfare, but can be as simple as confusing it while it is cutting tomatoes with a knife.
Turning doorknob is easy, and fail recovery is also being worked on, but we don't have reliable statistics anywhere on that. The hard part is on practical things, as in when placing bricks or attaching a part during manufacturing it needs to ensure that it is aligning everything correctly....and that's hard, while it is impressive, it is very irresponsible to keep humanoids at home (people are irresponsible when untrained), for example, lawnmowers injure about 6400 people a year...and that is not an everything machine.
Humanoids in general are...not appealing in specific, due to maintainable of joints, complexity, but robot arms in particular, expecially on wheels (check mobile aloha), are likely to be able to do tasks such as clean up in hotels, after a guest had left, or replace some cooks in restaurants (if their work is consistent)
IMHO the real test is if any robotic startup currently selling (or planning to sell) robots as a service for homes not just use it but gets returning users from it.
I did professionally few prototypes with robots and progress is real yet very far from what the average customer would find reliably useful in menial tasks.
FWIW I do think https://rodneybrooks.com/why-todays-humanoids-wont-learn-dex... remains relevant, namely dexterity is also a hardware problem, grippers aren't hands. They even clarify "multi-finger dexterous manipulation remains challenging." and those aren't even fingers with a lot of sensors.
There is a LOT of monkey business when it comes to robotics industry, a lot of demos you see are well crafted for that specific demo, a lot of times there’s even actual fraud “like claiming it’s an autonomous but it was actually teleoperated during the demo”, a lot robots that make most hypes are practically useless (dog robots or qugv for example) no matter how they try to create a usecase, when it comes to practicality, most fail. Robotics as an industry is niche (not to be confused with cobotics) the only exception is drones which is something I said in a workshop back in 2020 that drones are the only potential and will dominate if we solved the endurance issue, which is also why they immediately got weaponized because humans are usually evil and will utilize useful stuff in bad things.
Humanoids are far from being remotely useful in real life scenarios, yet.
Fun fact: most (if not all) qugv can’t go reverse on a stairway.
Today, humans convert their labor to capital. Capital holders need labor (humans) to acquire more capital. When the price of inference for these robots becomes less than the price of labor then capital holders don’t need labor.
Obviously, AI impacts non-manual labor too, but a significant portion of the world population does manual labor.
> Today, humans convert their labor to capital. Capital holders need labor (humans) to acquire more capital. When the price of inference for these robots becomes less than the price of labor then capital holders don’t need labor.
Ignoring quibbling about inference not being the only cost and other issues and just accepting the proposed end state: this is very good if capital is effectively democratized, and apocalyptically bad if it remains highly concentrated in a narrow class.
Not sure it is just about inference costs, errors in handling things and beings in the real world have a very different "surface" from immaterial applications - robots might need to have failsafes, independent limiters, etc. there.
Great point, inference is just one variable. It’d be really great to know how much those tasks costs in inference. I’m assuming they cost significantly higher than human labor. Therefore, the inference cost is so high that it makes the other variables seem irrelevant for the time being.
It's good that we'd be able to increase the amount of goods and services produced and reduce prices. For example, a lot of people would benefit from access to cheap, reliable heart surgery within a few days of learning they needed it. It would be good if the exponential growth that has elevated our wellbeing for the last millenia wasn't tethered to exponential population growth that would be disastrous if we even expected it to continue.
It would be bad to remove demand for humans from the economy, of course. Humans have inherent moral value, and so it's good that our current system gives them economic value as well. But there's more than one way to achieve that end, and the massive quantity on the good side of the scale suggests it may be worth investigating the others instead of opposing the advancement outright.
I'm really curious - are the people who keep saying this in denial or lacking in a basic education in economics? You can imagine all you want, but this is absolutely not a possible outcome.
> If all goes well, imagine a world in which you work because you want to not because you have to.
And if all goes bad, imagine a world in which you and your family are homeless and starve to death.
Luckily the politicians and business leaders in place today who are going to be responsible for navigating us to one of these outcomes are the adults in the room, very ethical, even keeled and not the least bit corrupt. So... we should be fine! /s
I think this is way too optimistic. I suspect these things will be only available to the already-quite-wealthy. While the poor (i.e., not billionaires) are left to rot and starve without jobs, property, or livelihoods. Then, when the poors (i.e. us) become too much of a headache, these things will be deployed to murder the poors (i.e. me).
I am imagining a world somewhere between the movie Elysium and Oblivion.
It's good for capital holders. It does imply a further shift in the distribution of wealth though with all the attendant implications thereof.
I question the premise that humanoid robots are "around the corner". I suspect this will turn out more like self-driving cars which are still a very slow burn.
A lot of these household tasks could be automated without the need for humanoid robots. Roombas can clean your floor, automated rubbish disposal can be integrated into houses and flats, grocery delivery and storage could be done via an automated intake, cataloguing, and storage system. Humanoids are just creepy and you can't really trust them.
Could you sleep easily knowing that you have one in your house?
What if you oppose the political views of its creators?
>automated rubbish disposal can be integrated into houses and flats, grocery delivery and storage could be done via an automated intake, cataloguing, and storage system
This is a complete non-starter for already-built apartment blocks, terraced homes, and even most semi-detached. It's an interesting but costly solution for new detached homes.
Humanoids are a useful form factor because the already-built human world is, definitionally, built for humanoids.
Doing what's ethically right rarely means taking the most convenient path. Fridges and pantries take a considerable amount of space in our homes. These could become part of an automated storage system.
we ve stopped building infrastructure but we have to do it. Rail, car , electricity, fiber infrastructure developed quickly, yet we refuse to even plan for robotic infrastructure. We can't be stuck forever in the 19th century
Except Roombas can only clean 80-90% of my floor, and not as well as a real vacuum. And we have a dog that leaves toys everywhere so probably it does more like 60% of the job when accounting for clearing its path, emptying it, etc… To get to 100% you basically need the whole human(oid).
> Humanoids are just creepy and you can't really trust them.
Ultimately I shouldn't have to trust my robots. If my roomba or my dishwasher go haywire they won't pinch my finger off. They physically can't listen to me or spy on me. These are good robots.
Running a full LLM to actuate a robot is way too heavy, the minimum latency they can get down to is probably 1-2 seconds even with powerful GPUs, which is not very useful for practical robotics applications.
Machine vision should definitely be handled by ML, but motion actuation should be relegated in the realm of traditional PID style linear/nonlinear control. Again, the tech is cool, but the practical usefulness of using a full LLM as a controller will probably run into hardware limitations.
On latency: that is true now but likely false in the near future. There is so much potential left over for optimizing inference further.
On PID: the field has been stuck trying to do analytical/optimization-based control for decades, and end-to-end control has shown incredible performance (e.g., SoTA cost of transport in legged locomotion) and robustness (e.g., not falling over when stepping on a pile of leaves) - while being far scalable (in terms of how fast it is to get a new robot up and running). Which is not to say it's perfect but it seems like it's a step in the right direction.
Better yet, companies like Physical Intelligence are doing good with hierarchical ("fast-slow") architecture to address both the intelligence and latency fronts.
10Hz is still a 0.1s of latency, which doesn't seem like a lot until you realize that an Arduino typically runs at 16 Mhz, which is literally a million times faster than running a full LLM.
So, yeah, for complex reasoning and sensory processing, LLMs are the correct choice, and Gemini is especially strong at spatial reasoning over ChatGPT/Claude. But for actual motion/actuation? LLMs are the wrong tool for the job, probably easier to have LLMs program a reusable workflow in a script for repeated tasks instead of invoking LLMs after the first time.
For this operating domain the latency comparison is human reaction time and not arduino reaction time.
Also the process that’s running at 16MHz is not the same as a full VLA. VLA is much more expressive. You think the processor that is running the VLA system is running at 10Hz or some GHz?
I don’t think this is where the robotics revolution is going to happen. The big one will be using AI to design and build highly specialized robots to automate mining and manufacturing.
Big humanoid robots are expensive, the actuators still suck, and the control problems are hard. Their big advantage is that they can occupy human-shaped spaces, but struggle to do anything useful.
Not to say we won't get humanoid robots eventually, but I think there's probably some low hanging fruit for people to make some other kinds of solutions. Specialized robots for industrial environment, well-thought out appliances for the home.
It would be a bit surprising if the progression was Roomba -> humanoid robot.
We have Google, Figure, Tesla, Boston Dynamics, and literally dozens of Chinese companies building humanoid robots and making huge improvements in the tech. Not there yet by any means as a general-purpose home assistant, but I don't think it will be too surprising if at least one of them succeeds
I hope humanoids will be ever present, it’s just that the scale of impact from specialized robots will be far greater. Humanoids will be our butlers, but the other robots will be creating a world of unimaginable abundance.
Why do we want to add more bodies on a finite plane of existence with an infinitely-expanding base (humans)?
We have a finite plane of existence (Earth), with an infinitely-expanding consumer base (humans), and we want to add robotic competition to that finite plane of existence? The data center AI is more appealing (I guess) since it doesn't compete literally shoulder-to-shoulder with me. Why do we want dexterous robots when we have humans?
We show many signs of stopping our infinite expansion.
As for why we want dexterous robots, the obvious answer is to do things that we don't want to do. Things that are back-breaking, disgusting, dangerous, or just plain boring.
Relevant: A San Francisco company is advertising humanoid robot housecleaning services[1]. However those 'bots require local supervision and a human controller watching through its video feed.
Presumably that company could use the Gemini Robotics product to eliminate the remote controller.
I actually like Tau's videos a lot better than Google's. An agile robot getting out of a car carrying a tote is actually novel and difficult and useful. In contrast, what Google is showing here is mostly glorified pick and place with low success rates on a needlessly complex robot and a voice LLM slapped on top to pre-announce its moves like an anime character, with fancy video editing and bubbly music to distract you from how slow it is.
Sure Tau is teleoperated, but teleoperating an agile movement like that is actually really hard to get right and still involves AI to keep the robot balanced. Tau is a lot closer to real deployment than Google, and when it performs useful tasks it is simultaneously collecting the data to eventually automate those tasks.
A 36% success rate on screwing in a light bulb means there's probably something to LeCunn's take that VLM/VLA models aren't going to be the thing powering tomorrow's robots, but only time will tell.
No mention of whether the robot's models run locally or in the cloud. Ie. Does it require an internet connection?
For a robot to be in my house it would have to run locally, there's no way I'm allowing one that runs in the cloud to operate my washing machine for example.
> Many robotic applications need to operate without network latency or internet connectivity. Gemini Robotics On-Device 2 is built specifically to handle these constraints — it is our most-efficient vision-language-action model (VLA) optimized to run locally on robotic devices.
The only thing that bothers me is what happens when robots finally automated "all the mundane day-to-day tasks" including our jobs, what is there left to do for common folks who are not geniuses working at Google/Anthropic/ChatGPT or occupy the C-Suite of these companies?
The question of agency and the question of income are different. The former - we do things manually that can be automated for fun all the time and make entirely arbitrary weird things to do for no value. However some find it hard to move from work to leisure.
I think that people will argue around that. Self-driving cars are already strong enough to kill people and even if you only made the robot strong enough to lift 15 pounds of weight, that's probably strong enough to slit someone's throat with a kitchen knife while they sleep... There probably isn't a level of strength that's weak enough to be completely safe but strong enough to be useful.
So at some point you have to trust that the tech is safe. Both in terms of "robot won't go off the rails", but also in terms of hostile actors can't remotely take over your robot while you sleep.
In terms of sleeping, personally, I would like for the law to mandate that robots must have a physical off switch, in a very visible location, that physically disconnects power. The switch should be illuminated while in the ON position. What makes me a bit pessimistic there is that we don't even have laws to mandate webcam indicator lights (e.g. a very tiny red LED) must be ON in hardware.
I loved the video. Also, I had a lot of fun watching it while imagining I was living in 2051 and this whole progression had ran its course. It's impossible to predict the future, but certain events can negate whole branches of possibility. This one video in particular prunes the "we never figured out robotic motion and thus all the science fiction scenarios built on that premise never came to happen" subtree.
Humanoid robots can be dropped in wherever human labor is currently used.
That makes them extremely easy to sell to industry. This unlocks, in principle, a large chunk of the potential untapped industrial automation market that still relies on human labor because the ROI of redesigning production lines didn't make sense.
These humanoid robots would cost $10-100k to make and would require costly maintenance for them to do the job people in poor countries do for a dollar. I don't say we won't come to it eventually, but not in near future
More realistically it seems that llms in several years could help dramatically decrease costs of automation and make it available for more industries
I don't think it's the dream, I think it's the cynical market-driven logic.
Automation has been rolling out for a long while now, and most of the low-hanging fruit of things that can easily be redesigned in a cost-effective way has been dealt with already. The role of these robots is to address all of the stuff that would have been automated by now if they could have.
ABB, EPSON, FANUC, Kawasaki... Virtually every cars in past 50-60 years have had robots and some form of AI involved in assembly. Some of them already support standard humanoid/dogbot tools in their products.
Humanoid startup execs just don't talk about that.
I believe that LLMs represent the future of robotics in this field. Of course, I don’t want a robot uprising, but if our goal is simply to increase the utility of robots in manufacturing (within the necessary constraints), then LLMs are the only powerful path forward.
And absolutely nothing in your company charter says the military won't be allowed to buy it. Y'all think we've never seen a Terminator movie before, huh.
> It can better detect when humans are nearby, trigger safety tool calls and bring the robot to a safe stop if someone approaches too closely.
If the robots stop when humans are too close, wouldn't that mean that robots for close interaction or handling of humans need a whole other level of control?
I do think robotics would come up with more safety mechanisms (provably safe motion planning etc) just because the risk is a lot more serious than LLMs spitting half-truths
Is the fundamental challenge for AI directed movement in 3D space the continuity of the environment? Vs LLM's which train on discrete and limited token sets.
Can someone that uses these models provide some tips or docs on how best to get to use these at home to test around? Is the best thing a virtual environment?
Given the rapid advancements in AI. It is not what we thought it will, what it is, what we didn't wanted it to be, but it is great for being what it is.
For those who live in SF, for example, the progress is obvious. Not speaking for the other person in the thread, but most people have not seen an autonomous car working in real life. Also, many had assumed that freeway driving would happen first (as opposed to complicated city driving), but it turned out that the velocities involved carried too much risk during development.
I agree with you, there has been much more progress than I had expected.
What's the point of "releasing it"? It only makes sense in the labs, and what would calling your APIs give "me" as a researcher, other than a baseline to beat? mah
the model is real, but it feels 100% internal
Gemini is the only LLM I've ever experienced that decided on its own to tell me that something was a bad idea. Which, ok, in itself it's not a bad thing, we actually need more of that instead of the pathological sycophancy that all current models suffer from.
But in a physical robot? Yeah, that thing is going to punch me in the face, eventually. Or worse.
I use Sonnet and Opus everyday. Believe me, it's very common they tell me that something is bad idea, write a rationale and suggest better solutions.
Gemini doesn't remember almost anything after 2-3 follow ups. I have to paste the same "system prompt" at the top of each message and it still doesn't understand it.
It's funny how Google is essentially trying to compete with the software side of Tesla only - Waymos (which AFAIK they plan to partner with major automakers), now this, etc.
Another way to look at it is that they're avoiding some of the expensive parts of making products that use AI, while leaning into their strengths. No Tesla required within the explanation.
Seems smart. There are dozens of companies that make low-margin cars. There's only one company that has managed to make a working autonomous software driver.
For both manipulation and autonomous driving, google has invested in approaches with custom hardware, and off-the-shelf hardware, and a blend (which is what waymo is).
I'm a researcher at Deepmind that contributed to these models. (And the opinions here are my own)
Just want to say, Deepmind is a great place to work and the only (Edit: one the few unique labs!) lab where you can move from large frontier models (Gemini), frontier open models (Gemma), robotics (what you see here), science (weather, biology, more) and basically any other topic related to intelligence. It's really an incredible place to be, with incredible people. Consider joining! And thank you for the enthusiasm here.
Important question: how many engineers does it take to teach a robot how to screw in a light bulb?
...and how many people to label all of the examples?
How do I reliably apply? And is there a remote role?
I’m a mechanical design engineer (10 years) turned software engineer (7 years in autonomous vehicles). Is there a particular role you would recommend for someone with my experience?
How are you engaging with the fundamental problems explained in this blog post https://rodneybrooks.com/why-todays-humanoids-wont-learn-dex...
- the relatively crude tactile and proprioceptive sensing apparatuses of robots when compared to humans
- the limited availability of multisensory, perception-action coupled training data
Genuinely curious!
So glad to see that you are still involved and have your inspiring enthusiasm! Meeting you was a huge inflection point in my journey with ML/AI.
Would you mind expanding on the difference between frontier model development and open model development? I was under the impression that they were nearly the same thing and would thus be handled by the same team. My impression is that open models tend to go through more safety testing and are generally smaller, but are otherwise the same thing. Shouldn't most of what is commonly referred to as 'AI research' be applicable to both?
Congrats! Awesome release! (can i have access)
Join the waitlist! It's in the blogpost
Hey Ravin, I’m executive director for AGI Society which has run the AGI conference (https://agi-conference.org/) since 2007
We’d love to invite you to speak about your work next year at the AGI Conference if you’re open to it.
Alexander Lerchner spoke this year and was great.
I’ll reach out on email if you have a preferred one, it was unclear on your site which email you prefer.
Good stuff, yay, good.
I do want to pick a nit in this one,
> and the only lab where
I do think Allen Institution for AI (AI2) is has coverage across most of these domains ( albeit their frontier isn't nearly so far out, hopefully the $152m NSF awarded them + Nvidia is a fruitful partnership there).
For example, robotics: MolmoBot, MolmoSpaces, MolmoAct, https://allenai.org/embodied-ai
Totally fair and thank you for nit picking! I edited my comment. AI2 is doing amazing stuff, I read their papers and code all the time and appreciate how open they are.
Is DeepMind basically Google innovation hub ???
What happens when those ideas need to be scaled into real products, though? For instance, I can't really imagine Google being fully committed to manufacturing and selling robotic arms at scale.
What are you doing to prevent abuses by governments, corporations and militaries? (non snarky question)
How much of this technology is going to benefit and uplift the Common Peasant and how is going to be used for increasing surveillance and control?
Lol.. why do people ask employees this stuff as though they're the ones controlling big decisions?
"Just following orders"
is how some of the worst shit in human history went down.
They're literally CREATING the tech and tools and you're saying don't even question them about potential and proven misuse?? lol
They're the first people that should be asked this question.
I don't think OP's "Why do people ask employees this stuff" question implies you _shouldn't_ ask, but rather wonders why people even ask when you're obviously not going to get an answer (and if you do, it'll be a non-answer filtered through PR/HR/MR/etc).
Working there feels like a trap.
Why work there when you can start a company? You get to choose the problem you care about most, the people you work with, and your own pace—and if it works, you own the success.
Why accept all the rules Google will force on you, are those rules optimized for you or for them?
While Anthropic and Open AI get 80% of the attention here, it's impressive to see how much Google is doing: near frontier model, fast models, open weight models, image generation, video generation, music generation, robotics, etc.
It's certainly an odd situation where Google is on the forefront of all these emerging technologies while the latest chatbots from OpenAI and Anthropic are getting breathless press releases and wildly hyperbolic coverage ("rogue AIs" "too dangerous, must be banned" etc...)
Google acting like a normal but competent company that's just chugging away, meanwhile the hype cycle is propping up its upstart competitors to truly ludicrous valuations.
> Google acting like a normal but competent company that's just chugging away
Competent is a stretch. Google's AI offering seems to be, once again, PM led–lots of constantly-changing brands being merged and deprecated with zero customer support or service.
They'll almost certainly be one of the survivors. Their technical competece is unmatched. But that doesn't mean they have a great product in the way both OpenAI and Anthropic do. (Outside their datacentres, which are a legitimate feat.)
After all this time it's still a pain point just to pay them for a Gemini API key.
> Google acting like a normal but competent company that's just chugging away,
Chugging away not releasing products or releasing ones worse than their competition typically. Not sure that’s what a normal competent company should be doing.
Google wins on infrastructure and creativity (NotebookLM, etc) but entirely lacks product coherence. The ecosystem is a mess, just like Microsoft's offering, and I don't think this is a coincidence but rather a symptom of the type of company in which these two companies have evolved.
Furthermore, Gemini is just all around a less trustworthy and mature model, for many reasons. Very smart but lacking the precision and holistically exhibited in the more recent models from OpenAI and Anthropic. On the flip side, Google's work on Gemma is unmatched.
Everything would be perfect if only you were CEO of both companies!
I can say a portrait doesn’t look like a person even if I can’t do better, googles product range is an absolute mess and using it is a nightmare - I don’t know how to fix the company but I know the outcome is bad.
What is the purpose of this comment?
Google DeepMind was at the forefront of AI, and they are currently developing new concepts while others chase benchmark percentages.
And protein folding + Nobel Prize
Google DeepMind disbands its Nobel-prize winning AlphaFold team
https://www.engadget.com/2225849/google-shuts-down-alphafold...
https://news.ycombinator.com/item?id=49098375
I won't comment much on this, but I'd say these articles are 2-3 years late and reduces the agency of the people, who in many cases moved to Gemini because they wanted to work on LLMs
And AlphaGo Zero .. probably the first real-world deployment of a self-improving system that beat humans.
> probably the first real-world deployment of a self-improving system that beat humans.
Isn't that Checkers right from the dawn of reinforcement learning?
I think that credit might go to IBM:
https://en.wikipedia.org/wiki/TD-Gammon
Baffles me how this is not that well known
[flagged]
The thing with drug discovery is that the bottleneck is not coming up with new molecules, etc. It's the multi-year, extremely expensive clinical trials that often don't even succeed. I doubt it will be a big moneymaker for Anthropic and OpenAI, because the best they can hope for is to sell a software product to pharma companies, but the pharma companies already have lots of scientists with a million promising molecules already in study they will never even make it to clinical trials.
In other words, can AI tech help? Probably, but I doubt it's going to be a major money maker, and it won't make a ton of money overnight. It's not like Claude Code where every programmer can begin using it instantly.
If you had asked HN 3 years ago what would code-generating market would be, they would have used the exact same reasoning and given us the opinion "Why no one will pay for glorified auto-complete"
Thr pharma parallel to what tech is doing is replacing clinical trials with AI review. Im not so sure its the same thing.
The idea that AI curing cancer, heart disease, aging (you get the idea) won't be a money maker because "clinical trials" is absurd. Of course it will be. Obviously it isn't the same thing as coding agents. But a lot of money makers aren't the same things as coding agents.
In order to cure cancer with AI, you would need to give it complete control over the experimental pipeline, including probably direct robotic access to a web lab, which comes with its own set of risks. It's just not the same problem space as coding at all.
OpenAI and Anthropic can't do either of those if they go bankrupt first.
People are going to be surprised by how obscenely profitable both will be in a couple of years
If that ends up being true, they should be very surprised.
We're looking at ~$725B combined hyperscaler capex in 2026 (on a path to $1.08T by 2028) against roughly $25B of AI service revenue in 2025 on $250B+ of infrastructure spend. By 2030, the global data center build-out will require $6.7 trillion in capital expenditure. If hyperscalers require a 25% return on AI-specific capex, the industry needs to generate ~$169B in AI-attributable revenue annually by end of 2028.
A flexible compute market plus three well-capitalized competitors plus Google's internal silicon means nobody gets to hold price. SpaceX's public offering is the best signal we have on this type of thing and it's down 15% from offer price.
It's incredibly unlikely that BOTH OpenAI and Anthropic will be "obscenely" profitable in the next few years. Also very unlikely that even one will be "obscenely" profitable in the next few years.
It is more likely (but still not very) that they both will be simply profitable (not obscenely).
The most probable scenario is that ONE will be somewhat profitable (probably Anthropic) and the other still burning.
You know SpaceX is still publicly valued at $1.5T marketcap, right? (offering price has nothing to do with anything other than ego of founders/bankers).
Yes, I will wait for the correct valuation when all stocks enter the liquidity pool.
OpenAI/Anthropic obscenely profitable is an easy bet (for me)
Seems unlikely. All three market leaders have roughly equivalent products, even ignoring the Chinese models. Google is better vertically integrated, as well. They'll end up competing on price, or worst case capacity rationing.
Tight competition and "obscenely profitable" rarely go hand-in-hand.
This essentially requires tripling the entire tech sector's share of the economy in a few years.
Wasn't this also predicted a couple years ago?
if open models get banned
I love this kind of optimized-for-Xitter drive-by market analysis. Very 2026.
I love how HN ignores past execution results
I like how someone can ignore that DeepMind invented AlphaFold, while OpenAI and Anthropic have zero experience shipping AI protein folding.
This entire industry might be hopelessly tribalist, nowadays.
the word delightful has lost all meaning to me
It's way too early to pick winners. This industry is still in the opening moves.
For example, today, investors are celebrating Microsoft's Azure growth as evidence that its AI investments are paying off: <https://news.ycombinator.com/item?id=49110965>
These robots look slow and not very fluid in their motions, but LLMs like ChatGPT also looked very dumb initially. If progress is as fast as LLMs , this could have massive applications in a few years.
For house keeping tasks the robotics companies love showing off... it honestly doesn't matter if it takes a robot longer than a human to clean your house. As long as it gets done before you get home from work, no big deal.
I'm bearish that they'll be economically viable in the house for a very long time.
For businesses the bar for adoption is very low: If the thing can work repetitive jobs for 24 hours a day and replace 3 shifts, the purchase bar is nominally anything less than 3 x human salary if your budgeting horizon is 1 year. That's a high number, and probably fairly easy to achieve.
For homes, it's a very different bar. You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag. Currently that's pretty much impossible for a humanoid.
I'm not sure.
I think house cleaning/chores require at least a "part-time" job's work of work for the average household (especially with children). We may be atypical, but my partner and I don't want to hire out a cleaning service and deal with the whole human component. But, I think we'd gladly pay 15k+ if it allowed us to take on the additional gainful workload. Even at a 20k price tag, I suspect we would likely have made up the difference in under a year.
If you can even afford 20K you're in the top 10% of the US population. It's not a very big market, and even selling to that market is hard. Probably only 10% of that 10% will actually buy, and all of a sudden you're selling to 1%.
Selling to businesses is much easier, 99% of businesses can afford 200K if it replaces 3 x 70K humans.
Your napkin math only shows that the market is identical. There's about 35m businesses operating in the US. So by selling to 10% of those you sell the exact same number of robots...
People in the US buy cars.
Can a household robot provide as much utility as a car? If "yes", the market gets pretty big.
How does it compare to hiring a human?
I pay $200 every 2 weeks to have a 3000 sq ft house cleaned.
That's about $5200 a year to fully clean a house. And it's a human, so they can also tidy up, clean out the refrigerator, do my laundry, water my plants, etc.
You don't even "need" to clean your house (yes, yes, I know). You do need to drive to work.
Not really. The car is a non-negotiable, like food, unless you live in Boston/NYC/SF or something. The robot is not.
Actually the high income households are becoming a greater and greater share of spending, referred to as the "K shaped" economy. For example, the top quintile of households accounts for about 40% of all consumer spending.
Most people finance vehicles that cost much more than 20K.
I'd gladly pay or finance a robot that could have dishes clean, laundry folded, and carpets vacuumed by the time our family got home.
I don't think a cleaning robot and a vehicle are in the same category, as vehicles are more a necessity (at the very least to get to and from your jobs, to buy groceries, etc) and a cleaning robot is squarely a luxury.
A car saves you time walking/biking, a robot saves chore time. Depending on depreciation, it's feasible that you could go do minimum-wage level work on Doordash using the chore time you save from the robot and still come out ahead. E.g. 5 hours/week at $20/hour = $5200/yr
Vehicles, when first invented, were 100% a luxury, not a necessity.
They only became a “necessity” once they went mainstream and the world started evolving with vehicles becoming a part of everyday life.
I can certainly see the same thing happening with residential robotics.
Only way I can see that happening is if you somehow get fired for not folding your laundry, in the same way people are fired when their car breaks and they can't make it to work.
Robot lawnmowers are mostly over $1000 already and they only do one thing. Heck, a lot of lawnmowers are over $1000.
You can pay over $500 for an automatic cat litter box. Robot vacuums can be cheap but run to $600 or so. Household appliances is a robust sector where people have a proven track record of spending a lot of money.
Automatic litter box is a great example. We've had one for ~7 years and it's still going strong. High initial cost that pays back every day over the course of what will likely be a decade+ of usage. Absolutely worth every penny if you look to the horizon. I imagine the robot mowers and robot house maids will fall under the same type of payback but with even higher upfront costs - perhaps this will turn into yet another subscription scheme.
> We've had one for ~7 years and it's still going strong
Interested. Which one?
Not OP, but I have a litter robot 3 that is still going strong after 10 years, and a litter robot 4 that is around four years old. The only problem I've run into is occasionally the pinch sensor will get bits of litter stuck in it and I have to take the globe off and tap/push on the sensor housing, then it will allow cycling again.
Great machines!
https://www.litter-robot.com/
Do you use it with multiple cats? I know they advertise it that way but I'm curious where the rubber meets the pavement.
Also interested.
Yeah, I heard all it does is smear shit all over itself. Any good brands?
It is all about the ROI. A lawn cut from a professional can cost anywhere from $25-$100 on an average (per cut). So with a $1000 lawn mower, you will get the return back in 10-40 cuts at most. That is less than 1-2 seasons. Sure, there will be some maintenance cost over the years but if you look at a 5-10 year period, it is totally worth doing your own. Even with the $1000 price tag. Of course, you cannot count the labor time.
There is more to yard work than mowing the lawn unfortunately. Trimming. Fertilizing Etc etc
If I can get a robot replace a gardener who I pay $170/mo for 2 visits per month, i probably would. But I suspect that would kill lawn
For all of these things, then what's the point of having a humanoid robot then? The last thing is a folding laundry bot that I would happily also pay $1000 for.
> folding laundry robot
This is my dream for a house chore robot. If I could dump hampers of clothes into a receptacle and get stacks of folded clothes out, I’d happily pay $1k. Household of 5; my kids each produce 3-4 sets of clothes a day (sleep, school, sports, after school). I run wash in AM so dryer finishes before 3pm (pg&e ToU) and then I’m focused on other things for rest of day. More often than not, I get to bed to find a near full hamper of clothes dumped where I sleep and then have to sort/fold/deliver. Bonus points if robot can sort different items to different stacks/bundles.
I don’t need AI/robotics to save me time from having to think, research, or code… I need AI/robotics to save me time so I can think, research, or code.
My wife hates having other people in our house and we both hate cleaning. If it worked, we’d drop $5k no problem. It’ll be $5k and a $50/mo sub? Sold!
I have personally never met someone with a personal robotic lawnmower, and I suspect that if you have you live in a bubble that is severely biasing your view of the average American.
A product doesn’t need to appeal to or reach the average American to be a viable product.
Perhaps not, but I interpreted it as an intended counterexample to the GP's claim
> You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag...
Which I am skeptical of.
My cousin has one. But he also lives on 5 acres, which is also not average either.
Apparently prices on them have gone way up. The one he has now would cost something like $6K today.
> For homes, it's a very different bar. You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag.
There are plenty of white collar employees in cities paying $500+/month for someone to come clean their home. As one of those people, I could easily see paying low five figures for something like this if it actually worked well and could replace most household labor.
Most consumers don't think like that. Businesses do.
Part of the reason is upfront commitment is scary and risky for personal money, but not scary for a business.
Most consumers? Sure. Upper middle class consumers? They're the sort more likely to buy cars with cash if they're dissatisfied with the value of the financing offered.
As with most things, it'll cater to that demographic and then filter down.
>You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag.
Like cars, they'll likely purchase them through finance deals, with a monthly payment. Or perhaps even rent/lease them.
Of course we'll rent them! I don't even want to keep a robot in my flat all the time.
But that means speed does matter after all. The renting company will need to clean as many flats as possible with a single robot in a single day.
Cars are an absolute necessity in the US unless you live in one of the small handful of cities that have viable public transit. Different thing altogether.
Robots aren't a necessity, and for a price tag in the tens of thousands, most people will just mop their own floors and do their own laundry.
> Robots aren't a necessity, and for a price tag in the tens of thousands, most people will just mop their own floors and do their own laundry.
And (regardless of the costs involved) if I were going to pay money to not do this stuff myself, I'd rather pay a human to do it because I know there are humans out there that could use the work and I value them much more than I value Google and other corporations making even more obscene amounts of money selling future e-waste.
$45k cars are not neccessary though, and that's the average american car loan today
That's really more of a financial literacy problem though. People don't see $45k car, they see $600/mo payment. And car dealers very much sell on the payment and not on the actual price.
Why would it be different for a robot?
People *need* a car, and a salesman manipulates them into buying more car then they need. People aren't convinced they *need* a robot.
increasing your spend by 25% is a smaller change then increasing your spend by infinity%
nit: 45k is the average car loan for a new car, but average for a used car is $25k. Purchasing a car is a necessity but purchasing a new car is a luxury.
Average monthly payment for both new and used cars is $500-$700
Leasing seems like it could make sense given rapid upgrades in the technology. Why spend $15k on a home robot that will be obsoleted in the next few years?
Leasing is out, but locked-in subscriptions are in!
At that point why not have a human cleaning service it will probably be cheaper
it's not cheap at all and the privacy and logistical implications of letting a stranger inside your house is something not everyone wants to deal with. I would rather have a robot.
Suggesting that a robot is the more privacy friendly option is an interesting take.
Not to pull on the tinfoil hat, but I would assume most commercially available home cleaning robots will be covered with cameras, mics, and other sensors, and connected to their manufacturer's cloud... I don't pay for housecleaning, but I would vet humans quite differently.
I don't trust a robot with my privacy, but I know Linette isn't building a profile of my shopping habits and Wi-Fi traffic. She is also careful to not let my cats out.
Much easier to remotely brick a robot too I imagine
People are financing small consumer goods with 3 digit price tags because they can't afford their mediocre already leveraged life. They borrow high 4 to low 5 figures for a car because they can't get to work to earn money so they don't have to join the bums sleeping on the cardboard. They will not be borrowing high 5 figures to low 6 figures for Rosie the Robot.
If Rosie was the only output she would never happen. Rosie might happen as a side benefit of replacing American workers but only for the rich people.
The vast majority which may be replaced would probably be better off burning down the factory rather than celebrate their upcoming domestic helper.
If you have a robot doing household work you can spend more time at work /S
Another huge blocker (that is essentially just cost too) is maintenance. These things are like 1000x more complex than a car, need to work in a diverse range of environments, handle water, household chemicals, different humidities, kids, etc… maybe eventually robots will service robots but that seems very hard!
And talking of kids, these will have to be exceedingly safe, a 6ft machine falling on a child is probably a worry most households could do without.
We'll probably get there in some shape or from but I agree, we're absolutely not there yet. I don't see humanoid robots normalized in households anytime soon but at the same time they'll probably be a thing outside the home.
Unitree's R1 humanoid robot is only about $6000, and it's still a nascent, smallish scale technology. They will come down.
If the future home robots are any good, it saves you from buying a dishwasher and robot vacuum. It can replace a maid/cleaning service and gardener/lawn-mowing service. For anyone paying for those services, it pays for itself.
$1000 isn't that high. Probably about a third of American households have an appliance over $2000, which is still a massive market.
I doubt it'd save you from purchasing a dishwasher - those things are very efficient and not very expensive. Perhaps it'd save you from loading and unloading a dishwasher
Have 2 dishwashers, and you never need to load or unload (as an extra step).
You never know the future but imagine the people who were bearish on personal computers when it wasn't a thing yet but was being discussed. Imagine Email, Internet etc etc. Now they are commodities. I am sure one day AI Robots will be a commodity that we could buy for $1000. May be 10 years from now. But it is coming.
if all it could do was operate a lawn mower and a shovel, the annual value to a homeowner in the north east is ~1-2k depending on lawn size assuming they value their free time at the same amount as their hourly wage.
what you have to keep in mind is homeowners salary is way above avg salary so anything you can do to effect them has a much larger impact than it would seem at first.
Yeah if you can afford the probably 10x it will actually cost, you can also just afford a cleaner to come twice a week and be able to do a wider variety of tasks (anyone going to trust this with ironing?)
Self-driving car brings a robot cleaner to your door step once a week.
> You'd have a hard time convincing most American families to purchase anything with a >$1000 price tag.
They all have cars. Turns out you can finance things, and turn them into forever debts. Paying $30K to never have to do chores again, or maybe even cook again, and live in a clean neat environment is not only an amazing proposition that opens up a lot of free time for people, but will also have a lot of social pressure behind it. We have social pressure that causes people to buy >$1000 phones to virtually no marginal benefit over $20 phones.
They will be paid off at $500/mo over 10 years, and most renters might just use the one that came with their apartment. If they're more like $80K or $100K I could see having a problem selling them. But if they basically turned apartment buildings into hotels, they would be a bargain for landlords; just give them the keys.
edit: of course, sci-fi has already rehearsed this. You can watch any number of movies and tv shows with families walking through a robot showroom guided by a guy in a cheap suit offering to give them the best deal. I'm sure you could find written examples from the 40s.
if you give me a robot that cleans the house and can do dishes and laundry I'll easily pay the cost of a compact car for that. I know a LOT of working families that would feel similarly.
I think domestic robots will make a lot of incremental progress and that few, if any, will be humanoid. We'll see a laundry folder and sock picker-upper and they'll be more like roombas or just big cubes. And tethered.
The more likely scenario is that the hucksters currently hyping the idea of humanoid robots will gradually move the goalposts so that, when we eventually get a big, soft, stationary cube with six inflatable robot arms they'll point to it and say "behold, a humanoid robot!" and declare their predictions vindicated.
I mean, a twice-monthly house-cleaning service is running you ballpark 5k/year and people treat that shit as non-negotiable. I tried to claw back that line item after our second baby was born (wife didn't want them in the house anyway when we had a newborn), and it was completely unsuccessful. She claimed misery and all our friends were on her side.
So the lifestyle stayed inflated.
> ballpark 5k/year
How big is your house? When we had a cleaning lady it was $70 a go. Under $2000 for every second week.
$70 a go? That’s got to be the cash only person to person handshake agreement. That would never buy you laundry too.
I think I remember maybe around $100 including laundry almost 20 years ago and that was a cash type arrangement, weekly including laundry (multi hour visit).
There is a lot of variance in the price of cleaning tied to location. Cost of living in the area for sure, but also presence or absence of economic migrants and new immigrants.
2500 finished square feet in a MCOL east coast metro (Baltimore).
Wondering if you're closer to the southern border or something.
Southern border of Canada yeah.
I have a 1300 sqft house, 3b2b. Costs me around $200 for a cleaning.
Ours was a 1300 3b1b. It was $35 an hour, they finished everything in under 2 hours. I'm guessing(hoping!) they have to be there for more than 2 hours for $200?
Same, it was $150 for 1400 sq ft house last I did it, so roughly same ballpark. I do remember it being closer to $80 10ish years ago though.
Similar here for 2500 finished sq ft.
Yes, but:
1. 80%+ of Americans can't afford house cleaning services. I'm a software engineer in silicon valley and even I clean my own house because I don't think I can afford it. My rents have gone up by more than 5K in the last year, my salary hasn't, so that's coming out of my house cleaning budget.
2. Even if you can afford 5K/year on it, the cleaning service is not an upfront commitment. You can bail anytime when you get laid off and clean your own house.
3. Consumers don't budget rationally. Businesses do.
[dead]
Yeah, the dishwasher takes much longer to do the dishes than I do by hand, but that's cool. That said, the dishwasher is out of the way.
I don't think we'll get household robots anytime soon. Hell, the only ones that can afford them will be the same that would hire human household help.
> Hell, the only ones that can afford them will be the same that would hire human household help.
But maybe they'd rather deal with a robot than a human?
Honestly: why?
I don't want a person I don't know very well in my space.
That aside: if I'm lucky enough to find a person who's good and reliable, they might move away, switch jobs etc.
It has all the headaches that come with hiring and managing someone, because, well, it is exactly that... If I don't want to be a manager at work (been there done that, happy to let others do it and get the raise that comes along with it), I sure as heck don't want to do it at home.
Usually you hire a cleaning company who sends a person they've hired and vetted to clean, you don't have to deal with all of that stuff.
Then I have to deal with whichever random person they decide to send. I can't be the only one who finds this annoying (even if I'm not in the majority).
You'd need to manage the robot, too, I would think. In my experience, I rather manage people than machines.
Sure, but others have the opposite preference. Machines tend to be more predictable.
I think machines are just unpredictable in different ways (for example, changes from software updates).
I prefer machines
> I don't want a person I don't know very well in my space.
In the humanoid robot scenario, you'll get a surveillance device with a built-in microphone and camera beaming every intimate detail of your space to the highest bidder. Instead of getting one person you don't know very well in your space, you'll get thousands.
Robots don‘t steal and don‘t want a raise.
If there is a subscription in there somewhere, prices could change.
It's ok, we get it you don't want one. I would happily pay $20k-$30k for one if it worked well. I know a lot of people who would.
I might even get one as I like trying new tech if and when, but I have no issue with hiring humans either and humans so far "fail" very differently from machines (as in a lot of software). I find the latter far less predictable and controllable.
They'll just spy on you along with the smart tv, phone and flock camera at the street corner.
The list of plausible answers is long enough as to question why you felt the need to include the word honestly, irony? One example: social anxiety.
Not irony: why manage machines with all the issues that go with that instead of people?
Tell me you are not an introvert without telling me...
I don't want a person I barely know regularly going all over my apartment. What if they discover... nevermind.
A robot, on the other hand? Hell yeah!
you don't need to be an introvert to find that line of reasoning short sighted. I'm plenty extroverted and I still don't want to deal with people coming to my house to clean it. It's very invasive and they rarely do a good job. A robot that I can "train" to do exactly what I need and constantly works in the background would be a HUGE value add to my lifestyle.
The difference might be that I don't believe in these "machine gods of cleaning" being the thing to arrive (looking at current consumer goods) and then the boundary for what to choose shifts a lot if one is willing to deal with humans. The latter also doesn't need to be so foreign, e.g., could be someone already working for a friend.
Humans have emotions. Best avoided.
It's been said that people who do not have a high EQ gravitate towards tech, because machines are easier to understand than people.
I feel like people who have high EQ should actually grasp the infinite depth and complexity of even the median human.
Just imagine, there’s a woman Alice who cleans your home once a month. On this particular day, she had a fight with her husband this morning on (something completely unrelated to you).
Do you expect her to check her emotions at the door when she enters your space? Or is she going to give really bad vibes while she is moving around your house?
Less liability?
You think robots can't malfunction or be hacked to do some nefarious things in the household?
With a robot housemaid, I wouldn't have to get dressed. :-P
More seriously:
- I wouldn't feel obligated to 'pre-clean' anything. Who wants to come across as a thoughtless/careless slob whose personal habits amount to borderline-abusive demands on the cleaning staff? Not me... and where does that line get drawn, anyway?
- I wouldn't worry about stuff being picked up and misplaced
- I have never had problems with maids stealing stuff, but I know others have
- Cleaning can be initiated or postponed as needed, with no dependencies on someone else's schedule
The last point I can get behind as it is a clear advantage, the other ones might need some more superhuman abilities that I'd not accept as given until demonstrated in extenso.
> With a robot housemaid, I wouldn't have to get dressed. :-P
Well, as long as you don't mind the workers in the robot company's telemetrics department whacking it to your robot's video feed.
They can jerk themselves silly, IDGAF. When the 'Black Mirror' screenwriters get involved, though, I'll require some back-end participation of the financial kind.
(I'm being facetious here: nothing that transmits data out of the house is going to be deployed to run household robots, at least not in my house. Even if I didn't care, I can't make that call on behalf of family members or guests. Then there's the obvious concern that the robotics company would sell the data to my homeowners' insurance company, health insurance company, and who knows who else.)
The dishwasher is out of the way because you made space for it out of the way. We'll probably adapt our spaces for robots too eventually.
For example, you could store far more things out of easy human reach.
Exactly. People buy those automated circular floor vacuums. Anyone can get it done with a regular broom/vacuum in a small fraction of the time it takes for those things. Just like I drive an electric car. It charges while I sleep. It doesn't matter if an ICE can fuel in a few minutes.
We all know sexbots will be the real killer app
"That's fair, you are absolutely right I should not have unscrewed the water hose and put it away before turning on the valve to water the plants, even though you specified that order, I should've used some common sense."
There is going to be so much pain from VLA malicious compliance. If the current gen of LLMs are anything to go by I can already see it being an hilariously massive problem. People are careless.
This was my thought too. An unsupervised robot can cause 10s of thousands in damage by accidentally ripping a water line and flooding your house or just breaking all of your dishes. There’s no level to how dumb and awful LLMs can hallucinate
> it honestly doesn't matter if it takes a robot longer than a human to clean your house
it depends. in order for my slow ass Roomba to clean my floors, I have to move a bunch of things out of the way and not use the room.
on the flip side, i think this "the robot cannot automate the whole task" thing is reductive too. suffice it to say, EVERYTHING matters, there honestly nothing that "honestly doesn't matter."
The time between gpt 2 and 3 was 15 months. The time between gemini robotics 1 and 2 was also 15 months: https://blog.google/products-and-platforms/products/gemini/h...
The difference between gpt 2 and 3 was insane. 2 could generate limericks when it wasn't repeating a word 300x. 3 could actually do some things. By comparison gemini robotics has hardly changed at all.
I will also point out that slow, non-fluid robotics is on a totally different level of difficulty from fast fluid motion. Asimov could walk pretty smoothly, but it didn't fall over because it used a very careful sequence that was never unbalanced; you could pause at any point without falling over. Move faster, like boston dynamics, and you need to account for the change in balance from your arms swinging... or rather, you need to be able to account for the rotational inertia etc from moving multiple masses along complex paths with multiple points of articulation at hundreds or thousands of times per second.
An algorithm to fold tshirts 90% of the time is easy. The cloth hangs down by gravity and you can just look for right angles (corners), find their coordinates with binocular matching, and move them to meet each other. Getting 99%, or folding them quickly, so that the fabric is actually moving instead of just hanging still- incredibly, incredibly more complex.
> folding them quickly, so that the fabric is actually moving instead of just hanging still- incredibly, incredibly more complex.
TBF fabric is much more difficult to simulate than a bipedal body is.
As I recall openai had mujoco playing soccer nearly 10 years ago. Obviously real world bodies are much more difficult but I'd be curious to learn why that is.
Even being able to simply do the task isn't enough here. It also has to do the task while also never, ever, ever accidentally folding your toddler as though it were a towel. Having industrial-strength robots around inherently unpredictable humans in a fail-safe way is an extremely difficult problem that will not be addressed any time soon.
This is not the bar for societal adoption, and we can already see a demonstration that it is false.
A waymo is basically an industrial strength robot. It operates among inherently unpredictable humans already. There is no guarantee that it will never, ever hurt a human.
And yet in many cities around the world, you can call a waymo and ride it and society accepts it.
Waymo will have existed for ~25 years by the time it'll be available in most US cities, that's a long while.
Gotta admit google is pretty ballsy for directly attacking Moravec's Paradox: https://en.wikipedia.org/wiki/Moravec%27s_paradox
They're fluid, but they are slow, which is highly likely to be a safety thing, which will have the side effect of making many motions more difficult, not less.
LLMs aren't themselves hurting anyone, no matter how much certain people like to pretend otherwise, whereas an AI in a robot with significant motors in absolutely can and will. There are reasons industrial ones live in safety cages after all.
Expecting them to be like inverse kinematic driven digital dolls is wrong because the optimization won't be for matching that but something like "net reduce energy consumption" which for electric motors in multi joint arms will look a bit odd.
This is the first press videos I’ve seen of 1x speed that seems reasonable, imho. Though I see elsewhere they report only 50-75% success rate- not clear if that's first attempt, or total?
We don't get virtuous feedback loops in hardware though. Muscles are incredible engineering that took half a billion years. Token generation (speech) is low hundred thousands maybe. Unless of course improved AI navigates the space of ideas so well that it can give us alloys or synthetic flesh that does twitch as fast...
These robots are unusable in their current form. Slow and expensive, humans perform this work better and cheaper. Looks like every other robot before it, a bunch of servos and no brain.
> If progress is as fast as LLMs
Is this the new "x technology is a year away" ?
I believe that it's also for safety, these robots would easily destroy themselves if not restrained (and cause damage).
Better to go slow and controlled. Giving physical action to a model is dangerous and must be carefully monitored. Slow is good. Oversight is important.
I agree
I only wish I could convince some humans in my life to slow down and do things with care.
yes at 1k tok/sec i think these robots will be fast and very fluid.
I've kind of given up on humanoid robotics, because of how bad the actuators are. There has been no innovation in robotic actuators since Honda's Asimo. There's just no way that someone wants a 80kg wobbling tin can in their home or workplace.
My bet is that the final robotic revolution will use genetically modified human/animal bodies with replaced brains. You'll have to stretch your ethics a bit, but if you grow a bear genetically modified in a way that it has no consciousness or thought, it'll make a much better construction worker than any humanoid robot. You'll just need to wire it up with neuralink and then control it via LLM. Fast animals can be used to deliver packages, and giraffes for warehouses.
Cortical Labs has been doing work in this area. They had a Doom demo a while ago. I think it's a matter of tradeoffs. Perhaps you'd have biological version as a versatile all-around thing, but many tasks don't require that so likely the tin variants are more durable for many tasks. Also, in terms of reasoning, the brain bandwidth is very low and high latency so there are advantages to silicon chips there.
It's interesting to learn actuators are "behind". I kept seeing cool stuff in the 3D printing space and thought there's a lot of progress. I'd love to learn more.
I think they're doing it the other way around, i.e. growing a biological brain for the AI, which would then be used in a robot.
> giraffes for warehouses.
I’m not even sure if you are joking there or haven’t thought your proposal through. Sure giraffes are tall, but they can barelly lift any weight. What use would a robotically controlled giraffe be in a warehouse?
> There has been no innovation in robotic actuators since Honda's Asimo.
I very much doubt this. If nothing else the MIT Cheetah’s actuators are a whole different ballgame compared to asimo’s actuators. (Backdriveability, variable stiffness) And then there is a lot of interesting work being done with combining elastic elements with the actuators.
Well, a giraffe could do jobs where you need to reach high, such as replacing a lightbulb. Sure, I'm half-joking.
Asimo used BLDC motors with strain-wave gearing, which is pretty much standard today on high-end humanoid robots. The only thing that has happened is that these are much cheaper today, and might be slightly more optimized.
Actuators on modern humanoids use cycloids or planetary reducers, not strain waves. They are much more compliant and backdrivable because of the huge reduction in reflected inertia.
this is a tangent but you should revisit your assumptions about giraffe anatomy. their necks actually weigh a tremendous amount and are kept upright by an interesting system whereby they actually stretch this giant tendon to bend down and the tendon's tension lifts it back up. super cool to learn about - they dissect one in a documentary series I can't think of just now.
It was Richard Dawkins dissecting it IIRC in front of a lecture hall where he makes a point that if there were a God designing animals, he wouldn’t have made this insane thing.
That is a truly terrifying future to imagine. Fortunately I would hazard to guess the medical technology to accomplish something like this is very, very far away. Not only because of the raw technological challenge, but also the barriers to development that scientists, doctors, and engineers would face before even being allowed to conduct experiments.
I do agree though the humanoid form is a dead end for robots. Just build giant cubes that process inputs and give outputs, like a dishwasher. Why wash dishes with meat wand tentacles or try to recreate meat wand tentacles when you can accomplish the job in a wholly different way with far greater efficiency...?
Where's the clothes foldeing cube? Analogous to the clothes washer and clothes dryer.... the clothes folder...
Why stop at dishwashing...? Sell an entire integrated robotic kitchen.
Dedicated machines can obviously solve an issue more efficiently, but it’s still good to have a machine that can do most things adequately.
As an example, you can have an automated washer, dryer, and folder, sure. But what if you wanted to automate the retrieval of dirty laundry and the delivery of clean laundry ? That would need to be some sort of robot to travel throughout an environment (fit through human sized areas, open doors, walk steps) to collect and deliver things. And if I have a robot roaming around the house, I would prefer to just buy one robot that could do many things rather than have to buy it to just collect things and more expensive machines as well.
I think the only real barriers are ethical. I'm pretty sure we'll figure out to do a completely synthetic biological robots without any kind of biological brain in the next 10-20 years, and they don't even have to resemble animals or humans. This should alleviate some of the ethical issues.
That seems like a problem orders of magnitude harder than making a humanoid robot. We haven't even figured out how to make hamburgers without cows at a marketable price yet.
> We haven't even figured out how to make hamburgers without cows
Isn't that OP's point? Engineering muscle and sinew is harder than coming up with the control software. The cheapest way to a robot thus emerges as just taking the natural stuff and adding an artificial brain to it versus trying to re-engineer the bones and muscles with metal and plastic.
I could not disagree more with the claim about no improvement in robotic actuators.
The torque density and price of actuators has fallen dramatically since Ben Katz's MIT work on mini cheetah. The actuators on the Unitree G1 based on that work are powerful for their size and near quasi-direct-drive. The motors on the BD E-Atlas are completely passively cooled and appear to have really good torque density. Actuators have never been improving faster than they are now.
Did you look at 1X's artificial tendon driven hands?
The world can't support the number of bodies on it already, and you're proposing adding mindless meatbags that still need feeding and their waste managed? Are you going to accept an amazon package that's had giraffe poop sprayed on it while picking, or change your meat-robot's diaper? I didn't think so.
Can anyone that works on this technology provide an honest assessment of where this technology actually stands? How much instrumentation is actually required, what the interaction quality is, how much trouble do humanoids have with in the wild daily tasks like turning doorknobs, recovering from falls, avoiding knocking into things, etc.
I work in this field, and I wrote my bachelor's thesis here, not with humanoids but with VLAs (think chatgpt connected to a robot arm)
It's certainly not there yet for anything practical, there's also certain bits and structures that don't have accurate names during construction, and it is important to keep that in mind - so a robot is unlikely to understand what it means to say "put the left bit of this box onto this right bit" due to ambiguity, a human would understand that
Plus we have no good reliable accuracy testing data in most cases (most tests occur on a few demos, but that isn't a good representation of how must things work), popular benchmarks, such as libero have been saturated, and nearly everything gets 95% there, most companies and researchers have their own benchmarks here.
Plus companies lie alot, and do very dangerous things in thier videos, I.e. these robots should not be standing very close to humans, because of being dangerous.
There are also legitimate concerns of misuse of these robots that need to be accounted for, misuse does not have to be warfare, but can be as simple as confusing it while it is cutting tomatoes with a knife.
Turning doorknob is easy, and fail recovery is also being worked on, but we don't have reliable statistics anywhere on that. The hard part is on practical things, as in when placing bricks or attaching a part during manufacturing it needs to ensure that it is aligning everything correctly....and that's hard, while it is impressive, it is very irresponsible to keep humanoids at home (people are irresponsible when untrained), for example, lawnmowers injure about 6400 people a year...and that is not an everything machine.
Humanoids in general are...not appealing in specific, due to maintainable of joints, complexity, but robot arms in particular, expecially on wheels (check mobile aloha), are likely to be able to do tasks such as clean up in hotels, after a guest had left, or replace some cooks in restaurants (if their work is consistent)
It’s still at GPT-1 level, but GPT-2 moment feels imminent.
What signs point to an inevitable GPT-2 moment in this field?
This blog post
IMHO the real test is if any robotic startup currently selling (or planning to sell) robots as a service for homes not just use it but gets returning users from it.
I did professionally few prototypes with robots and progress is real yet very far from what the average customer would find reliably useful in menial tasks.
FWIW I do think https://rodneybrooks.com/why-todays-humanoids-wont-learn-dex... remains relevant, namely dexterity is also a hardware problem, grippers aren't hands. They even clarify "multi-finger dexterous manipulation remains challenging." and those aren't even fingers with a lot of sensors.
There is a LOT of monkey business when it comes to robotics industry, a lot of demos you see are well crafted for that specific demo, a lot of times there’s even actual fraud “like claiming it’s an autonomous but it was actually teleoperated during the demo”, a lot robots that make most hypes are practically useless (dog robots or qugv for example) no matter how they try to create a usecase, when it comes to practicality, most fail. Robotics as an industry is niche (not to be confused with cobotics) the only exception is drones which is something I said in a workshop back in 2020 that drones are the only potential and will dominate if we solved the endurance issue, which is also why they immediately got weaponized because humans are usually evil and will utilize useful stuff in bad things.
Humanoids are far from being remotely useful in real life scenarios, yet.
Fun fact: most (if not all) qugv can’t go reverse on a stairway.
Robotics with AI is the real revolution.
Today, humans convert their labor to capital. Capital holders need labor (humans) to acquire more capital. When the price of inference for these robots becomes less than the price of labor then capital holders don’t need labor.
Obviously, AI impacts non-manual labor too, but a significant portion of the world population does manual labor.
> Today, humans convert their labor to capital. Capital holders need labor (humans) to acquire more capital. When the price of inference for these robots becomes less than the price of labor then capital holders don’t need labor.
Ignoring quibbling about inference not being the only cost and other issues and just accepting the proposed end state: this is very good if capital is effectively democratized, and apocalyptically bad if it remains highly concentrated in a narrow class.
> this is very good if capital is effectively democratized
Are there any indications to think it's possible in our world?
Not sure it is just about inference costs, errors in handling things and beings in the real world have a very different "surface" from immaterial applications - robots might need to have failsafes, independent limiters, etc. there.
Great point, inference is just one variable. It’d be really great to know how much those tasks costs in inference. I’m assuming they cost significantly higher than human labor. Therefore, the inference cost is so high that it makes the other variables seem irrelevant for the time being.
and this is good?
It's good that we'd be able to increase the amount of goods and services produced and reduce prices. For example, a lot of people would benefit from access to cheap, reliable heart surgery within a few days of learning they needed it. It would be good if the exponential growth that has elevated our wellbeing for the last millenia wasn't tethered to exponential population growth that would be disastrous if we even expected it to continue.
It would be bad to remove demand for humans from the economy, of course. Humans have inherent moral value, and so it's good that our current system gives them economic value as well. But there's more than one way to achieve that end, and the massive quantity on the good side of the scale suggests it may be worth investigating the others instead of opposing the advancement outright.
If all goes well, imagine a world in which you work because you want to not because you have to.
I'm really curious - are the people who keep saying this in denial or lacking in a basic education in economics? You can imagine all you want, but this is absolutely not a possible outcome.
They are not in denial, they're spreading PR narratives of AI corporations / VC hedge funds, no matter if willingly or out of naivety.
You are using 'basic' economics to predict the future with 'absolute' certainty?
Rhetorical.
> If all goes well, imagine a world in which you work because you want to not because you have to.
And if all goes bad, imagine a world in which you and your family are homeless and starve to death.
Luckily the politicians and business leaders in place today who are going to be responsible for navigating us to one of these outcomes are the adults in the room, very ethical, even keeled and not the least bit corrupt. So... we should be fine! /s
I think this is way too optimistic. I suspect these things will be only available to the already-quite-wealthy. While the poor (i.e., not billionaires) are left to rot and starve without jobs, property, or livelihoods. Then, when the poors (i.e. us) become too much of a headache, these things will be deployed to murder the poors (i.e. me).
I am imagining a world somewhere between the movie Elysium and Oblivion.
> I suspect these things will be only available to the already-quite-wealthy.
Initially, sure. But the price will come down in time, just like with any other technology in history.
It's good for capital holders. It does imply a further shift in the distribution of wealth though with all the attendant implications thereof.
I question the premise that humanoid robots are "around the corner". I suspect this will turn out more like self-driving cars which are still a very slow burn.
As a 47-year-old man with no kids, I have to admit I'm looking forward to the possibility of having a robot help take care of me in my old age.
The fact that Star Wars like droids seem to be likely within our lifetime is WILD. It's crazy how normal everyone is acting about this.
As a person in my 50's with a parent in her 80's, this would be incredibly useful right now. And I've got many, many friends in similar situations.
Fucking hell, hiring a robot to care after an elderly parent. Now that's some disturbing shit.
A lot of these household tasks could be automated without the need for humanoid robots. Roombas can clean your floor, automated rubbish disposal can be integrated into houses and flats, grocery delivery and storage could be done via an automated intake, cataloguing, and storage system. Humanoids are just creepy and you can't really trust them.
Could you sleep easily knowing that you have one in your house? What if you oppose the political views of its creators?
>automated rubbish disposal can be integrated into houses and flats, grocery delivery and storage could be done via an automated intake, cataloguing, and storage system
This is a complete non-starter for already-built apartment blocks, terraced homes, and even most semi-detached. It's an interesting but costly solution for new detached homes.
Humanoids are a useful form factor because the already-built human world is, definitionally, built for humanoids.
Doing what's ethically right rarely means taking the most convenient path. Fridges and pantries take a considerable amount of space in our homes. These could become part of an automated storage system.
we ve stopped building infrastructure but we have to do it. Rail, car , electricity, fiber infrastructure developed quickly, yet we refuse to even plan for robotic infrastructure. We can't be stuck forever in the 19th century
Except Roombas can only clean 80-90% of my floor, and not as well as a real vacuum. And we have a dog that leaves toys everywhere so probably it does more like 60% of the job when accounting for clearing its path, emptying it, etc… To get to 100% you basically need the whole human(oid).
> Humanoids are just creepy and you can't really trust them.
Ultimately I shouldn't have to trust my robots. If my roomba or my dishwasher go haywire they won't pinch my finger off. They physically can't listen to me or spy on me. These are good robots.
https://www.technologyreview.com/2022/12/19/1065306/roomba-i...
Still can't make a page scroll smoothly though.
Running a full LLM to actuate a robot is way too heavy, the minimum latency they can get down to is probably 1-2 seconds even with powerful GPUs, which is not very useful for practical robotics applications.
Machine vision should definitely be handled by ML, but motion actuation should be relegated in the realm of traditional PID style linear/nonlinear control. Again, the tech is cool, but the practical usefulness of using a full LLM as a controller will probably run into hardware limitations.
On latency: that is true now but likely false in the near future. There is so much potential left over for optimizing inference further.
On PID: the field has been stuck trying to do analytical/optimization-based control for decades, and end-to-end control has shown incredible performance (e.g., SoTA cost of transport in legged locomotion) and robustness (e.g., not falling over when stepping on a pile of leaves) - while being far scalable (in terms of how fast it is to get a new robot up and running). Which is not to say it's perfect but it seems like it's a step in the right direction.
Better yet, companies like Physical Intelligence are doing good with hierarchical ("fast-slow") architecture to address both the intelligence and latency fronts.
AFAIK NVidia has a VLA running on their chips with 2B params at 10Hz. They’ve openly published a .5B model running at 10Hz
10Hz is still a 0.1s of latency, which doesn't seem like a lot until you realize that an Arduino typically runs at 16 Mhz, which is literally a million times faster than running a full LLM.
So, yeah, for complex reasoning and sensory processing, LLMs are the correct choice, and Gemini is especially strong at spatial reasoning over ChatGPT/Claude. But for actual motion/actuation? LLMs are the wrong tool for the job, probably easier to have LLMs program a reusable workflow in a script for repeated tasks instead of invoking LLMs after the first time.
For this operating domain the latency comparison is human reaction time and not arduino reaction time.
Also the process that’s running at 16MHz is not the same as a full VLA. VLA is much more expressive. You think the processor that is running the VLA system is running at 10Hz or some GHz?
16 MHz is the chip's clock speed. Arduino PID is more like 100 Hz to 1 kHz.
Human deliberate movement runs around 2-10 Hz I think.
I don’t think this is where the robotics revolution is going to happen. The big one will be using AI to design and build highly specialized robots to automate mining and manufacturing.
The AI will need generalized robots to build the highly specialized ones.
Why would building specialized robots require generalized robots?
Seems to me you'd do better if you built the robots with robots that were specialized in building robots.
If it can make any robot then it’s not very specialized.
Why not both?
Big humanoid robots are expensive, the actuators still suck, and the control problems are hard. Their big advantage is that they can occupy human-shaped spaces, but struggle to do anything useful.
Not to say we won't get humanoid robots eventually, but I think there's probably some low hanging fruit for people to make some other kinds of solutions. Specialized robots for industrial environment, well-thought out appliances for the home.
It would be a bit surprising if the progression was Roomba -> humanoid robot.
We have Google, Figure, Tesla, Boston Dynamics, and literally dozens of Chinese companies building humanoid robots and making huge improvements in the tech. Not there yet by any means as a general-purpose home assistant, but I don't think it will be too surprising if at least one of them succeeds
It will take a while before humanoids become useful. You can speed it up with extreme amounts of investment but it still wouldn’t be soon.
I'd say 10 years before they're a luxury item, if you look at what has progressed in the past 10 years it's been massive
I hope humanoids will be ever present, it’s just that the scale of impact from specialized robots will be far greater. Humanoids will be our butlers, but the other robots will be creating a world of unimaginable abundance.
agriculture first (mining and manufacturing are already robotizing).
Why do we want to add more bodies on a finite plane of existence with an infinitely-expanding base (humans)?
We have a finite plane of existence (Earth), with an infinitely-expanding consumer base (humans), and we want to add robotic competition to that finite plane of existence? The data center AI is more appealing (I guess) since it doesn't compete literally shoulder-to-shoulder with me. Why do we want dexterous robots when we have humans?
We show many signs of stopping our infinite expansion.
As for why we want dexterous robots, the obvious answer is to do things that we don't want to do. Things that are back-breaking, disgusting, dangerous, or just plain boring.
Relevant: A San Francisco company is advertising humanoid robot housecleaning services[1]. However those 'bots require local supervision and a human controller watching through its video feed.
Presumably that company could use the Gemini Robotics product to eliminate the remote controller.
[1] https://www.tau-robotics.com/
I actually like Tau's videos a lot better than Google's. An agile robot getting out of a car carrying a tote is actually novel and difficult and useful. In contrast, what Google is showing here is mostly glorified pick and place with low success rates on a needlessly complex robot and a voice LLM slapped on top to pre-announce its moves like an anime character, with fancy video editing and bubbly music to distract you from how slow it is.
Sure Tau is teleoperated, but teleoperating an agile movement like that is actually really hard to get right and still involves AI to keep the robot balanced. Tau is a lot closer to real deployment than Google, and when it performs useful tasks it is simultaneously collecting the data to eventually automate those tasks.
All VLM, VLA models. I wonder if these architectures will reach prod before Yann LeCunn's world model JEPA startup even gets off the ground in Europe.
Welsh Labs has a great video on JEPA and robotics. https://www.youtube.com/watch?v=kYkIdXwW2AE
A 36% success rate on screwing in a light bulb means there's probably something to LeCunn's take that VLM/VLA models aren't going to be the thing powering tomorrow's robots, but only time will tell.
It's still very early days. There are many benchmarks that LLMs scored 36% on just 18 months ago that they're now at 100% on.
Where did you get this perf metric? I couldn't find it in the release
Second chart (it's to the right of the first chart and clicking it to scroll is easier than otherwise)
Wow screw lightbulb is lower than tie bag or close ziploc. Pretty surprising.
No mention of whether the robot's models run locally or in the cloud. Ie. Does it require an internet connection?
For a robot to be in my house it would have to run locally, there's no way I'm allowing one that runs in the cloud to operate my washing machine for example.
It does mention it though?
> Many robotic applications need to operate without network latency or internet connectivity. Gemini Robotics On-Device 2 is built specifically to handle these constraints — it is our most-efficient vision-language-action model (VLA) optimized to run locally on robotic devices.
Ah thankyou I missed that, good to hear.
This is incredible. Seems like a big achievement.
The only thing that bothers me is what happens when robots finally automated "all the mundane day-to-day tasks" including our jobs, what is there left to do for common folks who are not geniuses working at Google/Anthropic/ChatGPT or occupy the C-Suite of these companies?
The question of agency and the question of income are different. The former - we do things manually that can be automated for fun all the time and make entirely arbitrary weird things to do for no value. However some find it hard to move from work to leisure.
For income - who knows?
anyone notice the jokes they put in?
* bot: "im nervous. is that a microphone?"
* bot: "great job, you're a machine!" (said to another bot, a machine)
* bot: clicks "i am [not] a robot" button on a computer
I think the biggest snag with home robots will be that if it is strong enough to install your air conditioners, it's strong enough to break your ribs.
So the robots will need to be weak, so even weak people can overpower it. But then it loses a ton of it's most promising abilities.
I don't mean this like a "rogue robot" situation. I mean it like the robot gets confused, or someone sees a walking $10M lawsuit in their home.
I think that people will argue around that. Self-driving cars are already strong enough to kill people and even if you only made the robot strong enough to lift 15 pounds of weight, that's probably strong enough to slit someone's throat with a kitchen knife while they sleep... There probably isn't a level of strength that's weak enough to be completely safe but strong enough to be useful.
So at some point you have to trust that the tech is safe. Both in terms of "robot won't go off the rails", but also in terms of hostile actors can't remotely take over your robot while you sleep.
In terms of sleeping, personally, I would like for the law to mandate that robots must have a physical off switch, in a very visible location, that physically disconnects power. The switch should be illuminated while in the ON position. What makes me a bit pessimistic there is that we don't even have laws to mandate webcam indicator lights (e.g. a very tiny red LED) must be ON in hardware.
Fingers crossed this inspires a Chinese lab to release some weights so people can benefit.
They already do: https://qwen.ai/blog?id=qwen-robotsuite
Nvidia also releases their Cosmos series models.
Did qwen actually release those robotsuite weights? I can't seem to find them anywhere.
I'm asked to prove I'm not a bot if I want to watch the top video with sound.
it s a trick question, they are actually looking for robots
If they can't even get LLM/agentic coding right, I have little hope for a literal intelligent robot coming out of Gemini... but I wish them luck.
I loved the video. Also, I had a lot of fun watching it while imagining I was living in 2051 and this whole progression had ran its course. It's impossible to predict the future, but certain events can negate whole branches of possibility. This one video in particular prunes the "we never figured out robotic motion and thus all the science fiction scenarios built on that premise never came to happen" subtree.
Is anyone building non-humanoid robots? Feels like humanoid is limiting the creativity of building a truly useful robot in today's age
Humanoid robots can be dropped in wherever human labor is currently used.
That makes them extremely easy to sell to industry. This unlocks, in principle, a large chunk of the potential untapped industrial automation market that still relies on human labor because the ROI of redesigning production lines didn't make sense.
These humanoid robots would cost $10-100k to make and would require costly maintenance for them to do the job people in poor countries do for a dollar. I don't say we won't come to it eventually, but not in near future
More realistically it seems that llms in several years could help dramatically decrease costs of automation and make it available for more industries
That's the dream.
It's easier to redesign the work to be robot-friendly than to deploy a humanoid robot and have it actually work.
I don't think it's the dream, I think it's the cynical market-driven logic.
Automation has been rolling out for a long while now, and most of the low-hanging fruit of things that can easily be redesigned in a cost-effective way has been dealt with already. The role of these robots is to address all of the stuff that would have been automated by now if they could have.
ABB, EPSON, FANUC, Kawasaki... Virtually every cars in past 50-60 years have had robots and some form of AI involved in assembly. Some of them already support standard humanoid/dogbot tools in their products.
Humanoid startup execs just don't talk about that.
In the Xiaomi Model Demo, they have non-humanoid robots
https://robotics.xiaomi.com/xiaomi-robotics-1.html
I believe that LLMs represent the future of robotics in this field. Of course, I don’t want a robot uprising, but if our goal is simply to increase the utility of robots in manufacturing (within the necessary constraints), then LLMs are the only powerful path forward.
And absolutely nothing in your company charter says the military won't be allowed to buy it. Y'all think we've never seen a Terminator movie before, huh.
> It can better detect when humans are nearby, trigger safety tool calls and bring the robot to a safe stop if someone approaches too closely.
If the robots stop when humans are too close, wouldn't that mean that robots for close interaction or handling of humans need a whole other level of control?
Also, "better" is doing a lot of lifting here, meaning it still fails regularly.
Yes. That's a whole other level of difficulty to accomplish safely.
Paint it yellow and ask why it is hiding a nuclear battery
What would be the hallucination equivalent of such robots?
I know what the post-hallucination reasoning of such robots will be:
"Dave, would you like to get the instructions on how to stitch that head back to the neck?"
falling down and breaking things?
I do think robotics would come up with more safety mechanisms (provably safe motion planning etc) just because the risk is a lot more serious than LLMs spitting half-truths
Wow, what a time to be alive!
I would caution against enthusiasm. Anyone opposing those who end up controlling these robots won't be alive for long.
These robots can't do combat, not effectively anyway, but that's already jumping three stages ahead, because first off, why would they?
Because every country wants cheap, expendable, tireless soldiers.
I always wonder why these robot forms don't have cameras and distance sensors on every single joint, processing costs I guess?
Cost, weight, durability. For cameras, bandwidth.
Is the fundamental challenge for AI directed movement in 3D space the continuity of the environment? Vs LLM's which train on discrete and limited token sets.
> we are teaching robots intelligent whole-body control, fine dexterity, *and teamwork*...
That's the most Skynet thing ever.
Can someone that uses these models provide some tips or docs on how best to get to use these at home to test around? Is the best thing a virtual environment?
Do these learn?
It would be cool to have a robot that can be taught to drive the same way we might teach a teenager to drive.
No one has any idea how to achieve something like this.
Are there any AI models that can be taught?
Robots that look humanoid are a marketing gimmick.
I said the same thing about chat bots trying to act human, but evidently that's what people want. I still cringe whenever an LLM uses "I"
Didn’t we see Chinese robots doing kung fu??
Yeah, but that doesn’t mean the west won’t try to catch up
We're getting closer
Video has too many cuts, similar to kungfu movies where the actor doesn't know how to fight.
Given the rapid advancements in AI. It is not what we thought it will, what it is, what we didn't wanted it to be, but it is great for being what it is.
Now they are coming for the plumbers.
Still waiting for self driving car to bring me one robotic plumber to my construction site.
You won't be waiting more than 5-10 years.
Level 5 automomy has been "only five years away" for 15 years
You're probably thinking of Level 4. No one thought Level 5 was coming before 2050 until a few years ago.
And Level 4 is already here, scaling up, while we're seeing the first real signs of Level 5 (Tesla FSD Supervised).
The progress here is staggering - I'm not sure why you're so cynical!
For those who live in SF, for example, the progress is obvious. Not speaking for the other person in the thread, but most people have not seen an autonomous car working in real life. Also, many had assumed that freeway driving would happen first (as opposed to complicated city driving), but it turned out that the velocities involved carried too much risk during development. I agree with you, there has been much more progress than I had expected.
What's the point of "releasing it"? It only makes sense in the labs, and what would calling your APIs give "me" as a researcher, other than a baseline to beat? mah the model is real, but it feels 100% internal
What's the point of not releasing it? Let people play with it and get some experience with it for a price.
What does this mean for intrinsic, the moonshot they brought back into the fold in feb?
have you seen that NEO robot's hands, wild
* https://www.youtube.com/watch?v=QRyXV3csReA
Deepbody
we'll be having sex with robots in the near future
Sounds like a lot of work I'd probably want my robot to have set with the other robot for me
Its almost like Google selling Boston Dynamics was a bad idea.
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If it has intelligence of Gemini... well, good luck...
Gemini is the only LLM I've ever experienced that decided on its own to tell me that something was a bad idea. Which, ok, in itself it's not a bad thing, we actually need more of that instead of the pathological sycophancy that all current models suffer from.
But in a physical robot? Yeah, that thing is going to punch me in the face, eventually. Or worse.
I use Sonnet and Opus everyday. Believe me, it's very common they tell me that something is bad idea, write a rationale and suggest better solutions.
Gemini doesn't remember almost anything after 2-3 follow ups. I have to paste the same "system prompt" at the top of each message and it still doesn't understand it.
It's funny how Google is essentially trying to compete with the software side of Tesla only - Waymos (which AFAIK they plan to partner with major automakers), now this, etc.
That makes it sound like Waymo is copying Tesla when in fact Waymo has been in the works before Tesla even considered self driving.
Another way to look at it is that they're avoiding some of the expensive parts of making products that use AI, while leaning into their strengths. No Tesla required within the explanation.
Seems smart. There are dozens of companies that make low-margin cars. There's only one company that has managed to make a working autonomous software driver.
Tesla is the only company to have high-margin mass-market EVs.
True, but their margins only exist because of protectionist US laws (i.e. 100% tariff on Chinese competitors).
What does that have to do with margins?
Not many people would pay $62K for a Tesla Model Y if they could get a BYD Sealion for $37K.
Do you know what 'margins' means?
And even in markets where BYD Sealion is sold - including China - Tesla Model Y outsells it!
Bizarre oversimplification.
For both manipulation and autonomous driving, google has invested in approaches with custom hardware, and off-the-shelf hardware, and a blend (which is what waymo is).