AI Podcast: Elon Musk on Tesla Autopilot [video]
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Telsa is going to continue pumping their technology until the investor day coming up on April 19 because they desperately need a capital raise. They announced closing stores, layoffs, price cuts, and the short-lived 35,000 model 3 because cash is tight and demand was way down in Q1. Q2 is looking like more of the same.
The worst part of this whole thing to me is Musk's blatant disregard for human life to protect the value of his company. 3 people have died because of autopilot and pumping this unfinished technology will lead to more deaths.
https://twitter.com/shabudibudi/status/1116514629268705280
https://www.youtube.com/watch?v=VWTMnnECBSo&feature=youtu.be
https://twitter.com/NetflixAndLamp/status/111452700974343782...
I’m having difficulty finding a recent figure for how many miles Tesla autopilot has driven, but they reached over 1.2 billion by July last year.
3 deaths is 3 too many, of course, but it’s also 10.9 less than one should expect for 1.2 billion miles driven.
[1] https://medium.com/@MidwesternHedgi/teslas-driver-fatality-r...
(For example, there are a ton of potential confounding variables that could be causing the difference other than the safety of the car, like demographic differences.)
The burden of proof is on the claimant, whether it’s Tesla claiming their vehicles are safe or skeptics claiming they’re not. Until then, neither adds much to the discourse.
They really shouldn't get the benefit of the doubt. The burden of proof is on the company selling a system to control a two ton vehicle travelling over 70mph.
I do like that the article does some analysis to deduce that the NHTSA-FARS data is incorrect for Tesla and they make several well reasoned arguments why. Then using other data sources, they try to extrapolate what the correct data might be.
The problem is that the Tesla data in the NHTSA-FARS database is lower than expected. Yet they are comparing the "fixed" Tesla data with the rest of the data in the database that they take at face value.
It goes to reason if the NHTSA-FARS data for Tesla is easily proven to be underestimated (i.e. there are actually more fatal accidents than shown) that the data for other car manufacturers and models are also underestimated.
It seems like these concerns are much less applicable to a BMW or other manufacturer of large luxury cars.
[1] https://www.roadandtrack.com/car-culture/a28225/sports-car-d...
A better question though is what is the regulator's responsibility to approve a new technology like auto pilot when we know the general public will ignore the statistics and focus on the tangible deaths?
It's like having a doctor that only accepts completely healthy 20 year old patients quoting their stats compared to the general population.
These cars are no where near being fully autonomous and the story that Elon is paining about this happening in a few years with the sensors in a Tesla and the current state of research is a fantasy. End of the day he's a car salesman so take it with a pinch of salt.
"For instance, in 2007 0.54 people were killed for every 100 million vehicle miles driven on urban interstates, compared with 0.92 for every 100 million vehicle miles driven on other urban highways and arterials, and 1.32 killed on local urban streets."
He could also be developing autopilot to save human lives. There are a lot of road deaths each year which is not going to be fixed by doing nothing.
It's all relative. Boeing CEO Dennis Muilenburg hears that and says: "hold my beer".
Boeing timeline:
Oct 29, 2018 Lion Air crash, 189 dead
Nov 10, 2018 pilots already talking about Boeing
emergency airworthiness directive related to MCAS[1]
Mar 10, 2019 Ethiopian Airlines crash kills 157
Mar 11, 2019 Boeing CEO "confident in 737 MAX safety"[2]
Then the Boeing CEO drops his mic and says "Your move, Elan!"Sorry to be so cynical, but the Boeing stuff really bothers me. Boeing management behavior was worse than Tesla's.
[1] https://www.pprune.org/rumours-news/614857-indonesian-aircra... [2] https://www.reuters.com/article/ethiopia-airplane-boeing-ceo...
1. Discontinued / Very few produced -> Tesla is ramping up production 2. Iconic design -> Teslas do not have stand out look and the same design language is being used for other Tesla vehicles too. 3. Movie / cult classic -> Tesla does not have its 'Back to the Future' or 'Fast and the Furious'. 4. Unique features not present in other cars-> Tesla doesn't necessarily have any
Lastly, tablet and screen based designs are ones that age the worst. So, Tesla is at a disadvantage there.
The car collector's market is completely at odds with what Tesla offers. Tesla lovers are high technology folk, who always want the latest and the greatest. They do not appreciate dated designs. Car collectors are the ones most averse to electric cars (as of now).
I think Teslas will hold their price better than other brands, but they certainly won't appreciate. (may be the original roadster, because they made so few of them)
I don't know if his statement was about the financial depreciation of a Tesla or not, but if in 6 months, my car is better than it is today, with no custom parts or additions, you can undoubtedly claim that its value (the perception of what the car is doing for me) increased. Though, not its financial value.
Well, there are plenty of cars which are appreciating from the moment you pick them up from the dealership. Rare limited editions of Lamborghinis, Ferraris and Porsches all come to mind. But those are rare exceptions from the rule, and Teslas are nowhere near that status.
Of course the use of the term 'asset', since it is typically used for financial value, is confusing if that was his intended meaning.
The most important concern is whether other people are safer when you are using autopilot than when you are not. Part of that calculation is how bad the accidents are when they happen.
There is also the question of whether safety overall would be better with a combination of lesser technologies, such as lane departure warning and automated emergency braking, than either full autopilot or unassisted manual driving.
Every manufacturer should be evaluated in the same way, and if Tesla is currently the best, then congratulations to them, but that does not mean autopilot is good enough yet, and what we need right now is more data objectively evaluated, not Musk's tendentious claims.
I don’t buy into Musk’s bluster blindly, but he does accomplish most of what he says he will... just not on the time scale he promised. Seems fine to me though, I like what he promised and honestly I don’t care if my car appreciates, the automatic braking videos sold me.
I work for a mining company that has autonomous and human driven trucks on the site (open pit mining).
after running the stats on efficiencies and wear and tear on the trucks we found that:
In the mornings (or start of shift) humans are far more efficient and cause less wear and tear on the trucks, towards the end of the shift the autonomous trucks are more efficient and wear the trucks out less.
At the beginning of the swing ( 8 days on 6 days off ) the human driven trucks are far more efficient and cause less wear and tear. Towards the end of a swing the Autonomous trucks are more efficient and less wearing on the trucks.
In wet weather humans are far more efficient and less wearing on the trucks, on hot dry days autonomous trucks are more efficient and wear less on the trucks.
At the end of the day, autonomous are more consistent but humans are always better but they wear out themselves or get board or get lazy and take shortcuts when its nearing end of swing or end of shift or when the conditions are hot and dusty.
I cant see why this wouldn't be replicated on open roads by every day humans and every day autonomous vehicles.
Musk is still fixated on "What is a car" and "What is not a car". (At [28:12]). Teslas keep hitting things that are "not a car", yet clearly aren't driveable road. Musk doesn't have to evade that issue because the interviewer never brings it up.
Actual paper.[1] Which is actually an analysis of the data from [2].
Furthermore he's been funny with his companies' finances. Between Tesla, Solar City (remember when Tesla bought Solar City, because I do), and the fact that SpaceX needed NASA to bail them out with the falcon heavy should tell you all you need to know about how solid his companies' finances are. Tesla as a company, the forefront of Musk's empire (arguably), is showing signs of business turbulence. Layoffs, benefit slashing, etc.
Now, I don't think he's really tried to scam to anyone, sincerely. He's a businessman who's bit off a bit more than he can chew in the science department in my opinion.
Citation needed.
If Tesla does well with HW3 they'll be able to get Autopilot into 'flashy demo' territory in the not-too-distant-future and that will have the Tesla fans thumping their chests for years to come before it dawns on them that there is actually is a massive gap between going a few miles in traffic and pulling off a couple fancy maneuvers along the way, and a car that can navigate a city safely without a human driver. Nobody knows how wide that gap actually is.
Progress in free-range robotics is inverse exponential, and by that I mean that to drive the error rate down by an order of magnitude, you need to do way more work than was needed to achieve the previous order of magnitude.
We can come back to this in 7 years or so and re-examine just how far off Tesla may be from 'The Tesla Network'. Although I suppose the Tesla Network can just be renting somebody else's Tesla for an afternoon, FSD not necessary, and in that case, any day, right?
>I'll be shocked if it's not next year at the latest that having having a human intervene will decrease safety (22:32)
Like how we got rid of elevator operators because automatic is safer.
>with a full self-driving car computer the rate of improvement is exponential (24:26)
>Tesla is vastly ahead of everyone (30:11)
For certain interpretations of "intervene", that's true now. See this video of a Tesla hitting a construction barrier.[1] This is a dashcam view from a car behind the Tesla. At 00:21, it's too early for the vehicle to start turning, and at 00:22, the vehicle has already hit the barrier. The driver has to detect the failure and then take over. Much of the driver's allowed reaction time is taken up by having to wait until it's almost too late. Control handoff inherently implies a slower reaction time than manual driving.
(Not noticing the lane change warning and orange construction 45MPH speed limit sign back at 00:05 didn't help, either.)
This is the problem with shared control, and why Waymo rejected it early on.
(By the way, the driver with the dashcam is driving terribly.)
This is literally the opposite of what is true.
The rate of improvement has slowed down as the low hanging problems have been addressed. Everyone has pushed their timelines out.
It's pretty bad that a research scientist at MIT didn't call him out on this. What's the point in someone who works in the field conducting interviews if he doesn't question the interviewee.
https://www.theverge.com/2016/10/19/13341100/tesla-self-driv...
https://twitter.com/elonmusk/status/823727035088416768?s=21
https://twitter.com/elonmusk/status/888053175155949572?s=21
And so on...