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foreign I can't imagine someone who enjoys cars and building cars and building self-driving cars and figuring out where the future of cars is going to go and has broken every rule in building cars and somehow managed to have created just an amazing company I still remember the first car I bought from him my only question for Elon at the time was are you going to be around to service this car if something happened to it and he says no trust me and look what happened what an amazing achievement I have all three versions of his cars it just gets better and better not only does it get better and better each version gets better and better it just Delights me to no end when I get an OTA in the morning you know and and I read it and oh wow all these features

I didn't even pay for it I'm not suggesting that I'm willing to pay more for it but ladies and gentlemen ladies and Gentlemen please welcome Tesla CEO founder Elon Musk foreign I've never seen anybody walk the slope how are you welcome welcome guys Elon Musk now now uh you know we made it a point not to not to rehearse anything and so as I just want to just as a as a as a just a reminder you're you're my last thing okay okay could you not ruin the whole thing all right all right so remember now speaking of that speaking of that I think everybody would like to before we get into all of the good stuff okay um and they want to go directly to the juicy stuff okay okay and the juicy stuff is this uh look you know um uh you were quote as a saying that that

artificial intelligence is more dangerous than nuclear weapons and I said potentially and and well it goes on it goes on and just go on you say you say that it's like summoning the demon could be how do you consolidate rationalize the the conflict between artificial intelligence of course deep learning that that obviously is going to be very important to self-driving cars how do you think through that well I don't think we have a tour about uh autonomous cars because that's sort of like a narrow form of AI um and instantly not something I think is very difficult actually I think the to to do autonomous driving to a degree that's much safer than a person is much easier than people think yeah right um and uh yeah I I think it can just become normal like

it'd be like an elevator like no they used to have elevator operators um and then we you know we developed some simple circuitry to have elevators just automatically come to the floor that you you're at and you can just press the button nobody needs to operate the elevator um if the car is just going to be like that and the elevators these days are even smart I mean it knows it knows where to position an elevator so so that if you were to need an elevator it's pretty close to you cars in the future will be pretty smart about that too yeah you'll be able to tell your car like take me home uh go here go there anything and it'll just do it yeah at an order of magnitude safer than a person in fact in the in the distant future I think it's probably going to

be people may outlaw driving cars because it's too dangerous like you can't have a person driving a two-ton death machine if we if we have the right type of intelligence in a car we we also don't have to make the cars that heavy I would think you know cars are getting heavier and heavier and it's got more and more stuff in it because it needs to survive all these incredible collisions and things like that if I wonder if if we were to to design cars that that just simply don't Collide as much I wonder if we could we could relax on some of those laws and and make cars more fuel efficient and lighter and better to drive you could definitely do that if you could count on not not having an accident then you can get get rid of a huge amount of the crash structure

and the airbags and uh it'll be we're a long way from that because there's always going to be some for a very long time there'll be some amount of Legacy cars on the road um and I think it is important to just appreciate uh the size of the automotive industrial base like it's not as though like when somebody makes an autonomous car that suddenly all the cars will be autonomous it's like there's two billion of them okay so the the total total number of cars and trucks on the road is 2 billion in climbing the capacity of of car and truck production is about 100 million a year so if tomorrow all cars were autonomous it would take 20 years to replace the fleet assuming the fleet stayed the same size arguably it could get smaller if things are autonomous but

still it's it it's still you know maybe 15 years or something and it's not all gonna transition immediately it'll take quite a while so I mean and it's the same for electrification of cars um changing that industrial base to be electric I mean if if all cars were suddenly or fall cars produced were electric tomorrow it would still take 20 years to replace the fleet and right now it's less than one percent so now you you um you're you mentioned just now about about self-driving cars being easier than people think now you have your vision of how to go from where we are today now my model my p85d has Lane detection and and so it gets a little you know when I get close to a to a lane it detects the the uh the speed signs and it uses a uses a computer vision

technology to do that and but and that's today's Adas what is your what is your roadmap you know how is that different than other people's roadmap how do you think about how to get to self-driving cars yeah well um you you kind of need the the hardware Foundation the sort of sensor and Computing foundation and then you can keep uploading new software at least you can with the Tesla because it's always connected um so the car that you have you'll notice like it it's the features are steadily improving um we now you know have uh active cruise control so it'll it'll use a radar and Camera Fusion to track the car in front of you um it's also looking at with a some things that are coming out it looks at the brake lights so it anticipates that the car's got

the brake lights are active it's going to get basically smarter and smarter even with the current Hardware Suite so the car Hardware Suite is 360 degree ultrasonic sensors that go up to about just over five meters it's a forward camera and a Ford radar so we'll we'll make even with just just that sensor Suite we can actually make a huge progress in autonomy we can certainly make the car steer itself on on a freeway and you know do Lane changes um it's really autonomy is about what level of reliability and safety uh do you want um even with the current census wheat we could make the cargo fully autonomous but only to but but not to a level of reliability that would be safe in say um a uh complex uh Urban environment at 30 miles an hour with the lane markings

out there and children could be playing and things could be coming at you from the side so in order to solve that you need a a bigger sensor suite and you need more computing power um and I think what you're doing actually with the the tegres in the future is super interesting and will really be a big enabler for autonomous driving so I think you know Nvidia is doing really great stuff on that front I appreciate that yeah and so some of the challenges that you see what are the what are some of the technological hurdles that and there's all kinds of researchers in the room there all kinds of engineers in the room what are some what are some of the technological hurdles that you think are really important for us to go tackle um surely surely uh we're going

to get to some better cruise controls on highways but beyond that what are some of the things that you would like us to go focus on the tackle for the car industry um well it's it your work gets tricky is is just the um is is that sort of urban environment around 30 or 40 miles an hour so like right right now it's fairly easy to deal with say things that are sub five to ten miles an hour because we can do that do that with the Ultrasonics we just make sure it doesn't hit anything right you know because you can always this is the right thing to do largely why would you want to hit anything with you yeah exactly so at five to ten miles an hour you can stop uh within the range of the Ultrasonics um and then then uh from let's say 10 miles an hour to um they're

called sort of 50 miles an hour that that area in in complex um Suburban environments that's that's where uh you can get a lot of um unexpected things happening like let's say there's a like a road closure or a manhole cover open children playing as a big issue bicycles um once you get above 50 miles an hour and you're in kind of a freeway environment then it also gets easier again like the the the the set of possibilities is much reduced um so like so Highway cruise is easy low speed is easy intermediate is hard um and so being able to recognize what you're seeing and make the right decision in in the Suburban environment in that 10 10 miles an hour to 50 mile an hour zone is is the challenging portion um but but I really think like it's I mean I almost

this may sound a little complacent but I almost view it as like a solved problem like we know exactly what to do and we'll be there in a few years right just just like Mars that's kind of the the the the the spirit of of innovators I mean in a lot of ways in your mind you kind of you kind of see things solvable or arguably arguably solved and and a lot of it is is really about getting there yeah we'll take autonomous cars for granted in in quite a short period of time it's amazing how comfortable you get and how quickly you get comfortable with it um so now what about government government policies like one of the things that I would like to do is I would I would just like to keep working on my email as I'm driving to work sure you know there's there's

a 30.

somebody will do that already like I said I would like to do it without without uh without breaking the law yeah yeah so so where where where do you where do you think government intervention Falls in in some of this stuff because you know obviously if your car drives by itself and it does it even better than people you would like it to drive by itself but largely the laws don't allow you to do that today right absolutely so how do we cross that bridge and and how do you think about government intervention regulations right so I think um it'll be from the point at which a car is definitely safer than a person um that there's probably at least another two or three years after that before Regulators will allow that to be the case because they will want

to see a large amount of statistical proof that is not merely as safe as a person but much safer so I think what you can do is you can run run it in Shadow mode and essentially say okay this is this is what the computer would have done in all these circumstances and was there a crash or was there not like what are the false positives about false negatives and then it's you know it's achieve a large population group and then and then make a really clear statistical argument with the regulators and then they're going to digest that observe it for a while see if they agree with it and and then I think they will because the evidence will be overwhelming yeah and the evidence is actually already quite overwhelming that if you if you uh if you uh would just

would have noticed a brake light in front of you in the highway and you didn't you didn't crash into a rear end collision right so a lot of laser safe you know ideally ideally hopefully people don't don't overreact with this with this unknown technology um and uh and prematurely regulate no premature regulations oh I think when it comes to Public Safety I think there's there's an argument for being you know quite cautious and and making sure that things are okay before before there's a change and um I mean I don't think it's the case that right now there's a fully autonomous system and Regulators I'm not approving it that that could really be a substitute for people but they will be in a few years now as we get more computerized technology into these

cars and this car becomes really a software-defined car I mean a lot of your engineers are software Engineers I mean absolutely one of the great things about Tesla you guys right here in Silicon Valley you're rich with software engineers and and you have that that computer sensibility about architecting a computer properly designing the software properly designing the software for many generations of car so it refines and gets better and better and it has been getting better I mean the software from the first time you sent me my Tesla to the now it's just like it's unrecognizable software right big improvements I mean that's why the first thing we try to do is establish the the hardware platform make sure that we have the the sensors and compute power

um and and so we do that first even though the software is only taking advantage of a small percentage of the sensor was in compute power and then we do continuous updates to make the car more and more capable and we're going to see a lot of that happen later this year if I didn't have an announcement on Thursday morning I would be saying a lot more of it yeah the audience doesn't understand why they have to wait until Thursday morning you tweeted it already you're announcing you're going to do an OTA what kind of announcement is that I'm going to do an OTA on on Thursday that's like a new product announcement these days it's just it's just that well it's just saying that there's going to be a call on Thursday morning and I'll describe what it's going

to be in version 6.

2 for anyone who's interested that's so awesome though I'm interested I get excited every time I get an OTA and it's you know one of the things that was really interesting is in the beginning when we first built the first Tesla together the Tegra in it we thought was more than enough and recently you said can we just squeeze more performance out of that platform and it just happened in literally two years you know several versions of your software updates all of a sudden the Computing platform is not powerful enough right and and it's because you want to add more features and a lot of features these days are based on software true yeah and so so um one last question and it's it has to do with I guess uh something that that a lot of people are very concerned

about which is your card becomes a software platform and software platforms get hacked how do you think about that how do you think about security and what are some of the things that we could do to try to make make uh make the car more resilient to to uh security attacks yeah I think that that becomes really important when the cars are fully autonomous I mean the way the cars work right now um every system in the car it's assumed could actually have a mechanical failure of some kind or a logic failure a fundamental logic failure so you can always overwhelm the the breaking of the car with your foot and you can overwhelm the steering wheel with your hands so uh but but when when there isn't a steering wheel there isn't you know brake pedal or something

in the like you know many years from now then it's really really dangerous you know because uh but I bet even as it is right now where we spend most of our time on is making sure that it's it's very difficult to do um a multi-car hack like if you have direct access to a car just like if you've got direct access to a computer or any even a conventional car you can do a lot of things to it um but that that's less of a concern than somebody being able to hack an arbitrary car or multiple cars so that's what we focus our energy on is making sure that that in that way it's it's a lot like a like a cell phone or a laptop uh you know you you focus on making sure that they they can't or that it's very difficult for there to be any kind of system-wide hack so

we put a lot of effort into that and we have third parties try to attack it um and then certain parts of the the car at the very fundamental level like the Drive Unit controller uh or the steering controller have an additional level of security so somebody may be able to uh you know hack something that's uh cosmetic but it's much harder to hack something that's that's actually physically dangerous there's multiple levels of security yeah and so this way if you if you weren't able to penetrate maybe the infotainment system it doesn't allow you quickly as a result of that right I may display a funny message or something but it would not you would not be able to then control the steering or the the motor yeah well the future of cars is so exciting and the

work that you guys are doing are so exciting and it's it's it's great to see you guys pioneering these computerized cars I mean a lot of people think about think about Tesla as the electric car and I but I think it's obviously more than that it's an electric car but it's a whole computer platform on top of that yeah I think I think Tesla's I mean Tes is sort of the leader in electric cars but I think will also sort of be the leader of an autonomous cars at least autonomous cars that people can buy and and we're so we're I mean if there's anybody's interested in working on autonomous cars we'd love to have you work at Tesla by the way so we're going to put a lot of effort into Automotive uh or autonomous driving because it's going to be the default thing

yeah um and it could save a lot of lives yeah to save a lot of lives and hopefully hopefully one of these days I could it would be nice if nvidia's campus has no parking lot yeah right that it drops us off and it meanders off to a place where the land's a little cheaper and you know and Parks a whole bunch of cars there and and when it's time to go home yeah someone had to come it will be extremely transformative that's for sure um but yeah I mean when it comes to AI I'm not really worried about sort of narrow AI like like autonomous cars or like you know a smart air conditioning unit at the house or something it's more like sort of the deep intelligent stuff that is where we need to be cautious like I actually think there's many potential flavors of

AI um and you know it's odd that we're at we're so close to the Advent of AI like it's it seems strange that we would be alive in this in this time um well come back every year come back every year and you'll see the the work that this this group is going to do I mean there's so much deep learning work being done here you have a lot of Engineers here as well and I they're they're uh it's fantastic to see the the whole Community focused on advancing this field and along the way we're going to spin off a whole bunch of new capabilities as you know that's going to make cars just safer and more fun to drive long before we have to get to to essentially a self-driving car right there's going to be a lot of versions along the way that's just going to bring joy

to a lot of people yeah absolutely I just hope there's something left for us humans to do well I'm not gonna let let go of my steering wheel you know I've got none on craziness mode and the sports story mode is that the way you have it you you get driven to work now no I well I I drive half the time actually and which mode do you have it in I always have it insane mode yeah all right all right thank you all right foreign the engineer of Engineers Elon Musk okay let me summarize very quickly we announced four things today we had really exciting show really exciting event a lot of it's going to focus on deep learning you guys know why now deep learning is so important deep learning is so important to us and the tools that we're going to create so that we

can create the future together first I announced Titan X the world's fastest GPU I announced digits def box a GPU deep learning platform so that data scientists could plug it in Get Right to Work Pascal is going to be 10 times faster than Maxwell in deep learning as a result of three fundamental Technologies on top of the Pascal architecture 3D memory mixed mode precision and MV link those three capabilities in on top of the Pascal architecture will give us a 10x boost and then I talked about the Nvidia Drive PX a developers platform that enjoys the ability to bring deep learning to augment today's Adas and start us down the Journey of creating more exciting cars in the future a deep learning platform for self-driving cars everybody have a great GTC thank

you thank you