First we have tesla which already has a self driving car. They were the first to build one and now everyone is playing catch up, or are they?
Waymo has been building something for a really long time too but I have no idea how close they are to an actual product.
Now there is this new company that gets a bunch of money to build something.
It feels to me like the self driving car market will go to the first player who can make a self driving car -- which is tesla.
Or maybe no one is close to making a really good self driving car yet, and even if they did, they would have to convince people like me that I can sleep at the wheel while surrounded by massholes.
* Tesla driver assistance features that they market as self-driving features. You need a driver that is alert and monitoring the vehicle because it can return control to the driver without warning.
* Waymo has launched limited L4 pilot in the "easy" Tempe, AZ area. They have remote teleoperation / monitoring but no driving in the car.
* ATG has prototypes that run with safety drivers
* Cruise has prototypes that run with safety drivers + they are working on tele-monitoring / teleoperation.
* Comma.AI has a consumer-available L2 driver-assistance device that you can add to your car to do ACC and lane keeping.
* Aurora has prototypes that run with safety drivers
* Zoox (bought by AMZN) has prototypes that run with safety drivers
* Smattering of other companies that are working on the tech, but are no where close to a product launch (Lyft, Toyota, Argo etc)
In general, there was a bunch of hype and bunch of money poured into the industry in 2016-2018. Others saw people pouring money into it and assumed a breakthrough was close and so they poured more money in. The cycle continued to spiral into huge multi-billion dollar investments into technology that is still IMO quite far away from a public launch. Turns out that several years later, it's really hard and no one is actually that close to useful AVs.
Waymo has a publicly available product launched, but I'm confident they are running that program at a significant loss.
Cruise has struggled to hit the milestones set in their funding deals to unlock the next levels of funding.
In my opinion, Comma is going to crush it in the next 2 years, Tesla will keep refining their AP tech, but still won't be FSD. I think autonomous robotaxis will be the norm eventually but not until after 2025.
Curious why you think Comma is going to crush it vs all the other companies working in this space?
My suspicion is that the thing everyone's going to founder on is that a large part of safely operating a motor vehicle on the public roadways consists of observing and then predicting the behavior of all the drivers, cyclists and pedestrians. So you need to either have true AI, or somehow get all the humans on those roadways to stop behaving so erratically. The problem is, one of those is currently impossible and the other is currently infeasible.
(I'm not sure which is which, and I'm not sure it matters.)
They have a Level 2 system, which is certainly an impressive technical achievement, but not what most of us are thinking of when we think, "self driving." They are hoping to grow it into something more, but it remains to be see whether that will be possible. Other companies also have Level 2 systems, and, while I've personally never used any of them, some sources do report that Autopilot is not the best one out there, just the most hyped one. So, even if we are just focusing on assisted driving rather than self driving, I'm not sure one can say with too much confidence that they are the clear leader.
I would not interpret the existence of a functional consumer product as evidence of a technical lead in the race toward true self driving. Waymo never had any intention of commercially releasing a level 2 system. Their plan was to go straight to level 4 without any detours. Reports would seem to indicate that they are far, far ahead of everyone else on achieving that goal. It may be that they now have an unbeatable lead. Or it may be that some more direct competitor catches up. Or it may be that a company like Tesla or Cadillac is able to use profits and data collected from their commercial level 2 systems to accelerate their development and catch up. This, too, remains to be seen.
Waymo seems to be closest to a robust 3D lidar based solution, but Tesla maybe be closest to 'a' solution, but the community is split on whether their 2D approach will work.
Then there seem to be a laundry list of companies that entered the market late, and are propped up panicking car companies which aren't sure which one of these companies is the real thing. So, they hedge their bets by taking a piece of all of them.
The solution will come out of 1 of the following:
1. A slow race to making a more and more robust vision system that is eventually good enough to get through regulation. In this case, the earliest to start and one with the most data will win. So, either Waymo or Tesla. By the time others get there, they will have captured the market and made billions.
2. Some smaller company has an 'a-ha' moment. Waiting for an a-ha moment doesn't sound like the most prudent investment decision, but the one that finds it will become a billionaire overnight. This change is so important (like Mapreduce) that it will quickly be reverse engineered and one of Google/Uber/etc. will release a self driving hardware kit + api or come pre-installed in cars like android auto. The solution transforms the vision field with a reach far beyond just cars.
For those unaware:
- Level 0: No automation
- Level 1: Driver assistance (Assisting steering or braking)
- Level 2: Partial automation (Assisting steering AND braking)
- Level 3: Conditional automation (Human supervised autonomy)
- Level 4: High automation (Full automation in ideal environments)
- Level 5: Full automation
I believe we're currently at Level 2-3.
More details here: https://www.howtogeek.com/401759/WHAT-ARE-THE-DIFFERENT-SELF...
If someone with more knowledge wants to correct me on the levels, feel free.
What 'self driving car'? I think you meant 'semi-autonomous cruise control' as there is no Tesla car that is fully 'self driving'.
As for Uber's situation, they had no chance. Mounted losses everywhere caused by the pandemic, government lockdowns and drivers who are now classified as Uber employees make the costs of it all unsustainable for them to justify keeping a 'self-driving unit'.
The only certain and sustainable long term players in this 'self-driving' or 'cruise control' game are Tesla and Comma.ai.
Tesla does not use Lidar as a cost savings measure, and only uses camera output to determine how the car drives. It is unknown if this is enough to account for enough permutations of traffic, but they're calling it full self driving while using car owners as paying (!) beta testers.
AFAIK, no one is close to releasing an autonomous vehicle that can drive on par or better than an average human driver, but that several have a path to getting there.
I believe many companies can thrive until M&A whittles down that list. I don't think this is a first mover takes all kinda deal because safety will have to be proven over a long time allowing other entrants to prove their worth.
I think it is less about cost saving and more about getting to the root of the problem. According to Elon's statements, Lidar is a crutch and since the AI will eventually have to be good enough to remove the crutch, remove it an the get go and save learning how to use the crutch. This is similar to his reasoning about EVs. Since we will eventually have to have petroleum free cars, Lets remove them as early as possible.
No, they don't. And it will take a while to get there.
The levels are technical distinctions in a roadmap towards "self driving cars", which by any reasonable definition are Level 4 and 5.
Below that it is marketing for advanced cruise control features (level 1 and 2), or dangerous (level 3).
Most players in the space made investments in driver replacement tech which is multiple years from profitability. I think the places that this kind of tech makes sense is in licensing it to TNCs or operating a fleet of vehicles that you list on a TNC’s network.
On the other hand, driver assistance features are the only systems that can generate meaningful revenue today. One of Tesla’s finest selling points is their AP software.
In this vein, Comma is the Android to Tesla’s tightly integrated iOS. They are profitable today and ultimately have a larger TAM (new cars vs Tesla owners).
(See https://mobile.twitter.com/greentheonly/status/1319363515610...)
There's zero reason to believe him on this.
LIDAR - combined with vision - gives a much better awareness. The only reason not to use it is (or was) cost.
(Disclaimer, I work for Lyft but this has been said in public many, many times by both companies.)
I thought it was comical that his pitch was "The reason we're going to be successful at Problem 1 (taxis) is because we're going to be successful at ridiculously-difficult Problem 2 (self-driving) which we're not close to solving". Pass.
(Disclaimer, I worked at Uber 2014-18).
They basically structured the deal as buying stock in the company and investing $400M.
Letting them focus on their core business while still having a large financial stake in AI cars.
The big development is that self driving cars turned out to be an extremely hard problem which didn’t match company timelines (or potentially company business models, if for example AI kits can get installed in existing cars and brands for which they become the denominate call network) and they outsourced it to one of the best companies around.
Either ways, next year is pretty close. Perhaps I'd be proven wrong.
But in context, he didn’t mean Uber needed self-driving to exist. He meant Uber can’t be left out if self-driving becomes a reality.
In that sense, the sale seems pessimistic. They no longer see self-driving on the horizon, or they aren’t on track to deliver the technology themselves.
Their real problem is if some other company perfects self-driving cars and doesn't sell them. Perhaps Uber have decided that's unlikely, either because no one will or because a company that isn't looking at ride-sharing will.
OR: they finally accepted the fact that self-driving cars aren't realistically happening anytime soon, at least to the level needed to entirely eliminate the driver cost.
That, and they probably realize they have enough market share at this point to be able to (long-term) raise prices instead of lower expenses.
If you assume that self-driving cars eventually become a commodity, Uber and Lyft could just buy them rather than develop the tech in-house. The key strategic bit of the landscape to own would be the app that everyone uses to book them.
London has Uber, Bolt, Kapten, Ola, Viavan, Hailo, Wheely, Xoox and that's just a single city - so the ride-hailing-app tech isn't a moat. A self-driving-car business doesn't need any drivers on board, so driver recruitment isn't a moat. And Google already have Google Maps on a big fraction of phones, so app installation is scarcely a moat.
Of course Google will have plenty of opportunities to shoot themselves in the feet, so it's certainly not a done deal.
I've been long hoping, for their own sake, that they'd sell off the SDC division, since it was hurting their balance sheet anyway. Glad they've seen the light.
- How a 600 person company will determine who among the 1200 at ATG gets acquihired?
- How will the Uber employee unvested stocks get paid out (or not) in an almost no cash deal?
There are two types of sales that are beneficial to a companies bottom line: selling something of value for cash, and selling a liability for little to no cash.
Uber did the latter of the two. Effectively taking a business unit that was 5-10 years behind Waymo and Cruise and dumping it off on someone who might be able to turn it in to something in exchange for a piece of the future upside. But the real win for Uber shareholders here is that it isn't costing Uber R&D dollars anymore.
Do you mean Uber ATG employees? Were they getting stock packages for ATG or for Uber?
https://www.theverge.com/2020/12/2/22086597/uber-sells-flyin...
Time for Uber to actually try and make a profit off of their core business, perhaps?? Good luck!
All about risk.
It's not perfect, but it keeps better with every release. They are ahead of everyone else by a long shot.
> Uber is handing over its equity in ATG and investing $400 million into Aurora, which will give it a 26% stake in the combined company
Uber's competitive advantage now is their mindshare, app experience, and subsidized pricing. With or without self driving doesn't really change that.
I think the last one is their big problem: Uber has their current market-position by selling below cost, and they've locked in a lot of things like compensation at the assumption they were profitable to a much more fanciful degree. Once the VC money runs out, they're going to need to raise prices and it's a lot easier for anyone else to compete with them since they're all renting the same Waymo cars and all of the drivers are running multiple apps anyway. Uber has some economy of scale benefits but they also have a reputation for mistreating drivers and a lot of expensive real-estate and staff which local competitors don't have.
I....cannot put +/- signs on the balance sheet for this transaction.
F for Uber’s optics but it is clear how this is good for them nearterm
sure reminds me of a taxi company (without the fleet management of course)
This happens to human drivers all the time, and humans are really bad drivers even in situations that have happened before.
I fully expect AI drivers to be safer than human drivers.
Don't you know the rules of AI claims? You always add "in 50 years" to every statement.
The biggest problem is accountability: who pays when someone dies. Once that is worked out, it'll have a shot.
(the math is based on # of US miles driven in 2017 divided by the number of car-caused pedestrian fatalities in the same year)
People screw up every day driving and the lives lost is very high but going by how my Tesla drives I am going to say impede traffic by slowing down. My car does slow down, safely, when it gets confused or contradictory feedback, and I am curious what the in beta FSD software will do. Their new technique looks vastly improved.
Traffic aware cruise control which many cars have along with limited lane keep assist can go a long way to making the drive safer but many don't use TACC except on highways
Look at it this way, its coming. However it is all one sided because again I emphasize, we need better and more consistent signage and road marking.
US wise, the HOV and Express lanes are probably the most perfect use case for self driving cars. Get into the lane and it should be hands off until exit.
I think most people ask this kind of question because they assume the entire system is some kind of big if-else-if-else statement. The question about swerving and hitting the kid or the grandma follows the same logic.
What we have to realize is that a neural net can and will react to things it hasn't specifically been told about using heuristics and "similar" stuff, just like human drivers. (see video of Tesla FSD avoiding a deer recently [1])
This is exactly like a new, or student driver. They have not yet encountered every possible situation, but they're able to apply reason and logic to new things and the more they drive, the better they get. So although they've never seen a deer jump out, they know it's good to avoid things when possible BUT NOT to swerve into oncoming traffic if there is traffic. So even a new-ish driver who has never seen a deer on the road will do a decent job of slamming on the brakes and swerving if save to do so. Same goes if a tire bounces towards you on the freeway, etc. etc.
Tesla are working towards billions and billions of miles of this kind of "learning driving", where the system keeps getting better and better.
And even after those billions of miles there will be situations it has never seen before, but the required response will be extraordinarily similar to things it has seen before. Chances are it will do a better job than you or I, because it's reaction time is close enough to 0 not to matter, and emotions won't cloud it's judgment if something really extraordinary happens (plane lands on highway, flood washes away road, etc)
While I agree with your overall point, this is not true. AIs often fail in very inhuman ways. Their "thought process" and learning capabilities resemble ours only superficially.
That said, humans also make a ton of lethal mistakes on the road and I do think we're getting close to a point where it might even out on balance. But people are more forgiving of relatable human failure modes than bizarre machine ones.
See Karpathy's talk here: https://medium.com/self-driving-cars/annotated-karpathys-aut...
Obviously there is still a ton of work to go from easy-to-drive areas to global but it seems like that is a huge notable step.
Otoh, we're pretty bad at 10 year ones too - the original self driving hype being a prime example. Lots of otherwise intelligent people fell into magical thinking there.
I think, though, that that's a tangential point, because Uber is not a car company. As others have theorized, Uber has an interest in developing it themselves because self-driving represents an existential threat. They have absolutely no defense against someone else using self-driving to do to them what they used gig economy labor pricing to do to taxi companies.
without the self driving vertical promises, uber is a middleman with a booking app, and they're one squeeze away from tesla or waymo into irrelevance.
Not many car manufacturer would market the airbags, breaks or tires as superior. However, car makers that develop their own engine constantly brag about how efficient or powerful their cars are compared to their competitors (e.g. Mazda and their Skyactiv, Toyota and their Hybrid).
If a company builds an autonomous driving capability and is able to hold on to a monopoly over it, they would either simply drive uber out of business, or license the tech to them in a way that would leave them with very thin margins.
Ride services/Food delivery company cannot function without humans.
Because we all know that VC's don't invest in non-tech companies anymore.
At the high level, Amazon is also primarily a logistics and pricing company.
They could also license their tech (or white label it a la Shopify) and make a lot of money, but they realized at some point that owning the user relationship was key to unlocking more value than just owning the tech.
[1] https://www.extremetech.com/computing/192430-ibm-dumps-chip-....
My biggest question about this deal is that is combining a 600 person company with a 1200 person company (obviously many/most of those people will not be sticking around). Those types of large technology merges are extremely challenging in the best of times, but I'm curious how it will work out in an era where so many people are teleworking (but I don't know, could even be better, as there is less opportunity for offhand office gossip).
Seems to me this is a clear attempt to get ATG off the books (16% of net loss in Q3 was due to ATG https://investor.uber.com/news-events/news/press-release-det...). If Uber felt that ATG would actually deliver eventually, I doubt they'd be doing this deal to rid themselves of the department.
[https://www.businessinsider.com/uber-atg-raises-1-billion-fo...]
Why did you write this as ATG equity? Wouldn't it still be their class A/B shares? Or is it structured as a separate entity?
This is not a liquidity event for Uber. Uber is selling a portion of its business, not being sold.
On the other hand, software can make mistakes at scale whereas each human makes mistakes differently.
It’s not so cut and dry.
The same kind of trade off happens with other modes of transport with very rigid constraints on movement, things like trains. A train can keep going, stop, or maybe with enough time reverse if there's tons of time and a strong need.
We don't stand around worrying saying "BUT WHAT IF SOMETHING'S ON THE TRACKS?!?", because the answer is "well then, the train will hit it. That's the tradeoff for being able to move freight so efficiently."
Why would there be? If it's helping their stock price or even neutral to it then why deny it and risk it going down?
The other option is that there will never be a sustainable business here.
There is definitely a market for a modern taxi company, but it won't be as cheap as Uber is in the US. And Uber has too large overhead.
With that definition, it's also unreasonable to me that 100 years ago, there wasn't any tech company
Uber and Lyft have a de facto duopoly amongst those hopping off planes because it’s hard to know that there are any other local options available.
But if there's a local alternative known to be better for going out with their friends, you can be sure that a person used to going out regularly with their friends will know what it is.
The phrase "war of capital attrition", however, will send capable VCs running for the exits. If they liked that sort of thing they would have been bankers.
Amazon is also an investor charity to give us all one day shipping since the investors show no sign of wanting profit margins above 1%.
(Oversimplification, of course. I'm fully aware of corporate obligations around market disclosure, profit forecasts, etc).
There's nothing inherent about this. If the promised alternatives to owning cars turn out to be BS, the younger generations will have to own cars whether they want to or not.
That's a pretty big opportunity for any firm that gets you home from the club at 3 AM.
I know that where I live I've started blanching at how much it actually costs to take an Uber, which is now approaching what taxis cost.
And Uber/Lyft work reliably only in urban areas. "Younger generations" will inevitably grow older and may want to move out of tiny, expensive city apartments to larger accomodations outside the city. Guess what. Public infrastructure fills the gap much better than Uber/LyfBolt do (at least in Europe).
https://www.reuters.com/article/waymo-autonomous-phoenix/way...
Sure, you can move the goalposts and say it's not "true" self-driving until it can handle all environments and weather conditions and whatnot, but self-driving cars are here. The question is how fast they'll go mainstream.
Where I live, road conditions are changing all the time. There’s new construction, new roads opening, temporary (a few hours at a B time) changes in lanes where you have to drive against the normal direction of traffic.
You can call it moving goal posts, but to deploy them generally, they either have to have general intelligence, or you need to input construction schedules, so that it won’t take certain roads during certain times. And then what? You can’t order a ride to certain locations?
Also, saying that Uber/Lyft need to create their own self-driving cars is ignoring the fact that other companies that create self-driving cars are, and will likely continue to offer rides in their cars through existing ride sharing companies.
As for the existential threat narrative, consider that there are many places that sell cheaper/better food than McDonalds, and yet, McD is everywhere. I don't think technical merit alone is going to win the rideshare pie.
Also, more efficient use of time from app-based routing.
I think a better question is when has it not worked?
The ones that work own moats like land or government licenses. But Uber doesn’t have that.
The real reason is that every single aircraft development program in recent history has been late and over budget, and now aircraft development is something that costs an eyewatering billions of dollars, if not in the tens of billions of dollars at this point. Bombardier sold, Embraer tried to, and Japan, Russia, and China have all mostly sputtered on despite having well financed government backing.
To put this in perspective, 787 development cost $32B. 737MAX is expected to cost past $18B. You can't bootstrap a startup if it takes tens of billions of dollars to get a plane out of the factory.
OK, giving Uber 5 more years is pessimistic, but whenever self driving does arrive, what will Uber's value prop be?
If you have too much demand and not enough supply, then wait times shoot up, and people return to your competitors.
Plus demand is non-uniformly distributed across time. If you have enough cars to handle peak demand, then they’ll be sitting idle the remainder of the day/week.
Most people think that trains are busy, because most people ride trains in high-demand times of year. If the same is true of a TNC, then it’s much better to list your cars with a bigger network and let them keep your cars busy more than you can.
It’s much more expensive to properly balance the marketplace than you think.
They're ahead of other players because they have:
1. Hundreds of thousands of cars on the streets with FSD hardware
2. More data than anyone else
3. Their own neural network accelerator chip.
I’d like to remind you as well that Google, aka waymo, had their nn accelerators for half a decade already.
Very good L2, but nowhere close to customer ready self driving.
As I said, it’s very impressive for level 2. But just because it can do more stuff that any other publicly available l2 system, it doesn’t make it self driving system. And Tesla knows that. They’ve quietly walked back most of their claims. They used to advertise it as level 5, that you can go to sleep. Now they advertise FSD as system that requires full human attention, and only missing thing is auto steer on city streets.
Simple apps and games don't necessarily need to keep getting better all the time; a successful one could likely coast for some time without needing much intervention.
SREs job is exactly this. Prevent future incidents. Prevention is much cheaper than cures (mostly)
I know families that are rather against the idea of owning a car and arrange housing around that consideration. They prefer to rely more heavily on public transit and the occasional car rental or cab/rideshare.
In any case, plenty of people are enthusiastic about a world where owning cars is less popular, so it's a common refrain.
That remains to be seen. If a company is able to create self driving cars, what's the value add provided by Uber and Lyft? Having a middleman TNC platform skim some profits doesn't really make sense from that perspective.
Compared to achieving reliable and cost effective autonomy at scale, building a ride sharing app is trivial, and customers have indicated that they're willing to install another app if the fares are cheaper. The complexity of getting a self driving service is high enough that there probably will be only a few entrants in the market, unlike the current value add provided by the TNC apps that match customers with a large pool of individual providers.
There will always be corner cases that automation can't deal with, but Waymo will have some human troubleshooters around for that. So do us humans, for that matter: when a car breaks down, most people call the mechanic instead of applying their own general intelligence to fixing it.
Eg A road is accessible from 5am to 8pm. Outside those times traffic conditions change. Humans setup cones and control the flow of traffic. 2 lanes becomes 1 lane for all traffic. And traffic is managed so that depending on what direction you’re going, your driving against the normal flow of traffic.
This is a real scenario in a moderately busy area. Times may be wrong. The road is not blocked. But you have to take direction from a person. In fact this sort of temporary traffic change is fairly common especially due to road works.
You can call that L2 if you want, but I feel that's disingenuous. It's way ahead of anything anybody else has except Waymo, with the difference that Tesla's system will drive anywhere in the US.
You can say, sure, but you still need to watch it all the time. Yeah, but the number of interventions that you need to make is becoming less and less.
> I’d like to remind you as well that Google, aka Waymo, had their nn accelerators for half a decade already.
That's true, but you need something mobile and low power for a car. I don't know if Waymo really has an equivalent there.
Also, it's an advantage for Tesla to have their own regardless, because of cost. Tesla can probably make their FSD computer for $200. If you are a third party and you want to buy Waymo's solution, they will sell it to you for thousands.
It seems like that's not a factor. Perhaps they find it boring, or perhaps the technical risk is just too high. It's all or nothing. You can BS your way through a classic tech startup as Adam Neumann did. It's harder with something that is a single flagship product that has to drive (Nikola) or fly hundreds of people in the air.
This is not really a dynamic in aircraft programs, where delivery of aircraft takes years.
As for safety, all we really need is for them to be safer than the average human driver. As evinced by the ~40,000 road deaths every year in the US, that's really a pretty low bar. I'd even argue that full autonomous is/will be less risky than halfway houses like Tesla Autopilot where neither side is really in full control, but that's another story.
It's ready/safe when governments ("the people") decide it's such.
https://storage.googleapis.com/sdc-prod/v1/safety-report/Way...
They've been very careful about it, and they have not finished work on it, so they need to keep the same standard that they had until now.
The technology is also ready for Phoenix. The company is not yet ready for the whole world (but I have no specific insight into what's holding them back).
It's totally different from Uber.
(Though wow, mcdouble was half that 2-3 years ago. Big mac hasn't really changed.)
But yeah, a lot of the McD classics and new offerings that one might purchase for a "normal" meal are actually quite expensive nowadays. On a side note (pun intended), I suspect that there are some pricing structure shenanigans going on, because fries are clearly marked up way more than burgers.
Sure, the driver then drives a route given to them to by the app, but so does everybody else, just in that case, the app is Google Maps.
AFAIK, the only routing cleverness is that the end of a shift, drivers can request to only take passengers who are heading in the direction of their own home. That's useful.
IBM is a terrible work place if you are technically inclined, if you are a slime ball of a manager it’s perfect for you.
They were an interesting - but dead - sideline of computing evolution. I never used one, but they had a interesting object-based (instead of file based) operating system.
One just builds a specification of a technical system while the other builds a specification of a societal system.
Societal systems just have much more legacy code and inertia with very little in the way of mechanisms for in house testing at scale. There's no development server, just keeping tabs on competitors (ie other countries) to see how the change in production (ie a new law introduced) had second order effects.
And what the past sees as hard often becomes less hard (I'm not going to say easy, because technology is never easy) in the future thanks to the accumulation of knowledge and increased speed of processing data.
> And what the past sees as hard often becomes less hard (I'm not going to say easy, because technology is never easy) in the future thanks to the accumulation of knowledge and increased speed of processing data.
It doesn't matter how fast you process data if you can't physically alter the scenario. No amount of data can make the carnot cycle more efficient or reduce entropy.
I'm sure the Romans thought Europe would never enter the dark ages too.
Particle physics has been at a standstill for decades. Fusion power is still a pipe dream. Global warming continues to go on without a technological answer in sight.
False AI promises are not evidence of anything. Nothing AI is doing now is genuinely artificial intelligence. Biotech? We still can't cure cancer.
We are getting more and more evolutions and less and less breakthroughs. That, to me, is slowing down. That doesn't mean things won't get better - just not as quickly, or as thoroughly.
* - Yes, Nuclear is not dead, but is not being used anywhere close to the potential it has i.e. effectively dead.
https://news.harvard.edu/gazette/story/2020/02/u-s-life-expe...
Most other progress depends on cheap energy and governmental policies, which we’re getting again.
https://noahpinion.substack.com/p/techno-optimism-for-the-20...
> Most other progress depends on cheap energy and governmental policies, which we’re getting again.
Which, again, isn't scientific progress. If it's a sociological problem it's not really a scientific breakthrough - it could have been solved decades ago if the will was there.
In fact I'd say we can gain MORE from sociological improvements, not pie in the sky science.
So cherrypicking the smallest number seems very disingenuous to me.
So I'm going to kill a pedestrian every 100 years? Assuming I drive normally for ~50 years, 500k miles, I have a 50% chance to kill a pedestrian?
I can understand a person being distracted, reacting slowly, not seeing me, etc. I can also mitigate this risk. Crossing the street I can make eye contact with a person and be really confident that they aren’t going to run me over.
Walking in front of a robot? I have no internal model for the kind of mistakes they make. It seems equally likely in any circumstance that they’ll make the mistake of running me down, and there is nothing i can do to avoid it.
Examples:
Elevators where the doors take extremely long to close on their own.
Elevators where the doors close too soon after opening.
Elevators where the limb sensors are not very responsive.
Cars that take a couple of tries to start in cold weather.
Automatic doors that are a little bit slow to open.
Etc.
Maybe a single 'driver' agent in a free-moving ground vehicle in close proximity to vulnerable actors and objects is not the right model for scalable, efficient, safe personal transport?
737 Max fiasco notwithstanding - it's worth mentioning that MCAS had nothing to do with flying the plane, only making it feel more like the 737NG to its human pilots
Not entirely true, the original issue is that the engines are bigger and the center of gravity is moved forward ( because the 737's are too low), thus the planes tend to stall. MCAS is there to correct the stall so that they feel more like 737NGs, but the issue is forcing bigger engines on an obsolete design.
My understanding is none, or nearly none. VNAV follows GPS waypoints with well described, manually designed behaviors for things like climb rate, bank angle, etc.
Autoland isn't machine learning either, and has such a large list of requirements to be allowed that it's basically like designing a self driving computer for a train.
You would also have to be rather clever in order to get an automatic door to injure you.
A car is also a rather easily understood dynamic system, but that isn’t an issue either. We are all quite frequently in the position of being at between a few seconds and one heartbeat away from a car killing us... walking down a sidewalk, crossing the street, driving on the highway...
We understand pretty well the dynamics of a human driver. Even the drivers that make terrible mistakes we understand something of hope and why.
A robot driver though... the terrible mistakes it makes are mysterious and terrifying. They make the kinds of mistakes a human never would (and few mistakes a human would make).