Exploring If Nvidia's Self-Driving Car Can Beat Tesla

⚠️ Elon Musk is the world’s richest man because he’s close to making full self-driving cars a reality (with Tesla FSD). He’s making sure #Tesla (#TSLA) has the best sensors, the most data, and the fastest AI. BUT there’s just one problem. #ElonMusk isn’t racing against any one company. He’s racing against ALL OF THEM. #Nvidia (#NVDA) is the world’s leading #AI company (and one of the best #stocks to buy now) and thanks to what they JUST announced, the race for full self-driving could be MUCH closer than you think. Want to know who’s REALLY winning? I’ll show you by looking at the science behind Tesla stock & Nvidia stock.
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🙏 Thanks for watching!

[@cyberfeedforward4032]

Simulation is great for repeatability and for challenging scenarios. However, real world data gives scenarios no one thought of. I believe Tesla combines the two.

[@dennislockwood7352]

Great video. Another reason Tesla ditched radar was the input conflicts it created between what the radar and cameras were seeing. Will be interesting how Nvidia & car companies having 2 -3 different inputs resolve these conflict issues.

[@pjuliano9000]

Unscented kalman filter.

[@dan-bz7dz]

Musk is stupid. Lidar is the only way it will work

[@KangoV]

AMD has another advantage here. Their purchase of Xilinx enables FPGAs to be put into cars. Over the air updates can actually reprogram the FPGA so computations from the sensors are performed in hardware not software. I believe this is where AMD will sucessfully compete.

[@rishidd7devx]

FPGA can't actually do this lot of maths. They heat up and its all not actually going to be great.

[@mcdonna88]

This is such good content. Insane value. Thank you Alex!

[@unomilan]

awesome, detailed. thank you!

[@edlam8325]

Love your analysis. Thank you.

[@KuyaArbee]

Just saw this Channel with intel vs amd! And now we are here! Amazing video! Love all the details and the videos!

[@sk.n.9302]

Another really great video, quality overview.

[@ryzlot]

GREAT videos - simplfying complex issues and relating them in plain language JR

[@fernandoguevara5038]

Great 👍, thank you Alex.

[@clarifyingquestions]

NVDA all the way. Elon and Ms Turd are done and done. But NVDA is risky: competition, high valuation....

[@grahamlamb3972]

If autonomous driving takes off, next step will be cars working in networks ( no need for traffic lights) no traffic jams, speed can be reduced due to efficiency in getting to the destination.

[@MrDevilex94]

Almost atleast 30 years away

[@per619]

In depth and nicely balanced reporting. Kudos. Overall, I'll stick with my original Tesla bias: Purpose built for FSD with millions of miles of real time data by the manufacturer who actually builds the cars.

[@bacontator6855]

Great video! I didn't know a lot about Nvidia's Hyperion before this. I think Tesla will be plenty busy with their own fleet, they won't be in much need to make their system available to train others and clear up that 2/3 reduction issue unless other companies are desperate for it. It will be interesting to see if their pursuit in lidar as well as cameras, etc pays off. Hypothetically, do you think if it does and the safety and reliability of their system outperforms Tesla in the future, Telsa would consider acquiring/ merging with them?

[@GET2222]

No. Tesla doesn’t want to team up with anyone unless they are will to play by their rules, because none of them move fast enough. NVIDIA is so far behind Tesla it’s not even worth talking about really. Real-world is all that matters. NVIDIA hand tagging is what Tesla has been doing for years. I’m sure they will get their one day, but imagine working with GM and the bureaucracy of a single OTA update? Who’s fault across multiple fleets of OEMs? One crash and they all will get blamed with tons of different sensor sweets etc… sounds like a f$$king nightmare.

[@bennygbutter46]

Great video, man! Thanks.

[@JDNicoll]

These computers are insaaaaaaaaane! Nice video man!

[@jonathandaugherty2024]

Visionary decision man...best of luck! Look forward to the new videos.

[@cantbeatthebay4765]

This is why you should HODL both TSLA + NVDA

[@RealSerie26]

@@blakejohnson3864 No reputable investor has become wealthy by doing what you just described. Let me guess, you invested in PLTR, PTON, ZM, ROKU and SQ at their highs because Cathie Wood said they were going to the moon.

[@prash269]

Buy both TSLA and NVDA, though TSLA might always have an edge. Great video Alex. I am sure you will have to make more of these later

[@senatorarmstrong2100]

Dude stfu. Tesla is at an all time high

[@prasaathviki7879]

very great study thanks.

[@TickerSymbolYOU]

Glad you enjoyed it!

[@Uofmdoc]

Alex, you are a genius to understand and communicate this incredibly complex story

[@aliettienne2907]

This is very informative and well explain.

[@HarryLewinASR]

Good presentation. You were not clear how about NVDA is going to update their self driving softare. Does Hyperion have a buit-in vendor independent update capability or does is depend on car makers implimenting over the air updating?

[@goukwapanzy]

IMO, the solution is not throwing more sensors at the problem. Massive amount of data, especially for the thousands of edge cases and the proper neural networks will be the solution.

[@TickerSymbolYOU]

You can get that data in multiple formats though (video, radar, lidar). Doesn't just need to be video (even though that's a great way to do it, as proven by Tesla)

[@dennisolsen8945]

They need to add something equivalent to experience in humans. For instance, in the winter we make allowance for slippery spots. We know that slush builds up along the edge of roads. We drive on the low side of curves in case we slide upwards. We slow down sooner and follow at a greater distance. There is a big difference between San Diego and South Dakota, so this data needs to include location as well as time of year, etc.

[@NickPeitsch]

Tesla has the most data too!

[@jackalopefpv1708]

@@dennisolsen8945 Do you believe that Tesla, a trillion dollar company, hasn't made considerations for this?

[@dennisolsen8945]

@@jackalopefpv1708 I hope they have, but I didn’t see any evidence of it as we used FSD-beta this winter. I also saw it running Stop signs, so it’s early to draw conclusions one way or another. 😎

[@marcgerges1380]

Articulate & informative as always. Thanks Alex

[@YuginSkolov]

Thanks Alex

[@commuterbranchline8132]

Tesla has more data from its fleet than anyone. I doubt Nvidia are anywhere near Tesla, but I still like both companies.

[@theshapeexists]

Wejo group has more im pretty sure, by a lot.

[@See_Sharp]

It's not about the quantity of the data, its about quality of data. I doubt both of their AI have never trained to drive in the streets of India or Philippines. Most people who owns Tesla are in routine driving so there's nothing to learn from them anymore.

[@jovanleon7]

@@theshapeexists and your source is?

[@theshapeexists]

@@jovanleon7 wejo CEO has an interview on Ticker Symbol You discussing how much more data they have than tesla since they are in several makes and models of cars.i believe they were working with Palantir for all the data as well. Its been a while since I watched it, but you can easily find it.

[@jovanleon7]

@@theshapeexists Apparently Wejo collects data from regular vehicles and evs that aren't equipped with self driving tech and their datas consist of radio station data, braking data, GPS data, car sensors data, basically all kinds of data except for the datas required for self driving software like what Tesla is collecting. Lol

[@georgegale6084]

Sony Beta and AOL were first, also.

[@rsKayiira]

Relying on only cameras has its issues. There should be some other radar based sensors. Otherwise They're solution is excellent. Great video as always

[@mohdk2299]

Sure but it simplifies and speed up AI training, not to mention cost advantage as well. I believe Tesla will incorporate LiDAR sensor at later stage when their camera based FSD reached maturity.

[@randomcharachter]

Excellent information thank you

[@TickerSymbolYOU]

Glad it was helpful!

[@dont_hit_trees]

Great video. 👍🏼

[@dillonpatel1942]

Amazing content! 👍🏽 thank you for sharing

[@flattire707]

When NVIDIA has tens of thousands of cars collecting data on the road, we will talk again.

[@samhillebrand]

Where did you get the Netflix media library total size figure of ~72TB? I'm guessing your figure is massively low. Not to mention that the media on Netflix servers is probably not as compressed as what the user gets in the final stream. It gets compressed before streaming to the end viewer but the source media has to be able to accommodate the various ranges of quality/resolution that customers require. Obviously they have many clones of their media library on many different arrays across multiple datacenters but still 72TB seems way low to store the entire library available on Netflix.

[@adrianfonseca]

Can you do an update on your opinion of WEJO after a month of consideration and watching the markets since your interview?

[@Walker956]

That ftx sponsor didn't age well.

[@pleclerc1]

Great video!

[@BobBob-vx4ck]

So to summarize their both awesome companies and you can't really go wrong investing in either

[@douglasrushbrooke786]

Well presented

[@hughcourchesne4351]

Thanks Alex always a great informative video

[@hieeih6468]

Where does Waymo stand

[@blueskyresearch6701]

Sensor fusion is going to mean more parameters larger neural nets and more power consumption. I am watching closely to see who starts introducing neuromorphic features into their driving chips. That is the next big leap driving computers need to become more powerful while consuming less power of they are going to be successful.

[@cbarn12121]

Awesome video!

[@mothanwrdz]

Very informative. Thanks!

[@ram5572]

Like NVIDIA strategy of combining both Lidar and camera... foolproof. See a winner in long-term

[@faramarzmokri9136]

Your vision convinced me that there isn’t any competition for Tesla’s FSD technology. Thank you . Assuming NVDIA come up with their own version of FSD for high ways. NVIDIA still needs market their product and sell it to the EV maker. But they need to prove that it works! They will end up asking EV maker to spend 5K if not more on equipment that is needed to run NVIDIA’s FSD . That is a huge risk for the automakers. All of these EV makers except Tesla are losing money already before the added cost for the required equipment .In addition they have to wax NVIDIA for the use of their FSD software and hardware. If they In my opinion NVIDIA after spending billions their end product will be “ Driver Assistant software” at their best.

[@dr.dan1350]

Someones got money in Tesla.

[@supersmashedbros]

Dawg. Do no let some random nobody convince you tesla cant be beat. Has he been to the factories? Has he interviewed any engineers? Has he interviewed tesla? Out of all the sources in the world you're choosing to trust the guy who makes money by getting people excited to watch his videos? And whp has made just horrendous investment decisions the past year with all the super hype and super growth that are burning billions a year You deserve to lose money

[@Moonspec]

@faramarz mokri, You've got it backwards. Tesla's FSD will be a massive disaster, and they are prolonging the inevitable shift to adding additional sensors, which the longer they delay, the more likely will lead them to disaster and perhaps bankruptcy. Every year Elon says "FSD will be ready this year" and despite numerous Moore's law generations of computation doubling, it's yet to come true (hint: it'll never happen). If you know anything about AI and machine learning, the output of any AI system will only be as good as the data it was trained on. Quantity of data is important, but quality of data is substantially more important, and you don't need to train your AI nearly as much if you have higher quality data. If you want to train an AI to predict housing prices, having information on a billion houses is better than a million houses, but if all the data you have is, say, age and square footage, it's a lot worse than having even a thousand houses where you have many more metrics, such as location, crime rates, population density, median income, etc. Humans rely on just sight for driving, and they are imperfect drivers. Certainly AI relying on vision might be able to outperform humans, but it'll still never be as safe as a car with sensors that provide you with data where vision alone fails. Hence, no matter how much data Tesla collects, those efforts will only achieve diminishing returns at improving safety/performance, and will ultimately fail at preventing truly unexpected safety scenarios. Sure, extra sensors cost more, but when it comes to safety, I can't imagine anyone willing to skimp a few thousand dollars on a car that will last them years and could potentially save their life (and whose resale and scrap value will be higher because of the additional hardware). Assuming Mercedes does release their first self driving car in 2024, then the first consumer car to have true, level 4 full autonomy will not be a Tesla.

[@lucasjackson4350]

Top shelf content

[@husseinabuhamad8771]

Thanks for the video Alex!! What about challenges both companies are facing?? Power consumption from super computers? Bandwidth? Massive amounts of data transfer to cloud and heat generated from that? Latency and reliance on cloud 24/7 , what if data delayed while transfer to the cloud and back to the car sensors? What if 5G network got some disruption at that moment? Fatal accidents may be in seconds!! Massive energy and power consumption from millions of self driving cars in the future plus energy from crypto mining?? There must be another smart innovative solutions for autonomous driving away from cloud, data centers and super computers and more environment friendly and sustainable!!!

[@jsprowse]

Hussein, these engineers are literal geniuses, you can't honestly think they're putting cars on the road that kill people when the Internet goes out. Self-driving systems don't rely on Internet data for their moment-to-moment driving. Their on-board systems have to be able to handle their immediate environment, and that of their route. Internet connections are used to do things like initially plotting a route that uses real-time traffic data, or downloading new software upgrades. Teslas can use their autonomous driving features anywhere, connected to the internet or not.

[@goldreserve]

Training an artificial neural net uses huge resources. wrt Tesla after the ANN is trained and deployed the power consumption in vehicle is low and doesn't require internet.

[@czthor1]

AMAZING, WHAT WILL THE TECH FUTURE SHOW US, GOOD WORK GREAT COMPARISON!

[@billyrocket62]

I totally get how lidar and radar can see things that cameras never will. But it will cost a lot of money to have all that hardware in a car, and to maintain it all. Tesla already has a huge advantage in terms of price to produce a car, they do almost everything in house, pay less for batteries, etc. I think that many auto makers will try to use Nvidia for their cars, but the price will be unsustainable.

[@keith8346]

i have seen the video section that is used to show their new computer EOS, used last year to show case AMD's DOJO A. I. Super Computer.

[@qingyuhu]

More competition the better.

[@vktrcsk3989]

I don't get it in the last segment if a tesla's camera vision is ruined and can't see the car in front of it how it predict if the car in front slows down without seeing it? Yea okey i got it it remeber there was a car in front of it but if it can't see it cannot predict what will happen maybe the car is gone maybe its braking and and tesla cannot see it. In this case it will never reach self driving becouse for that it need to be better then humans this problem is no problem for a radar/lidar/camera system does it? Or i get something wrong?

[@nikkikamstra1671]

Nice channel. Subscribed.. in retrospect oeps on ftx

[@TickerSymbolYOU]

Big oops on FTX indeed. Thanks for stopping by!

[@moonsama395]

very good content

[@alexandremakarian5124]

Thanks!

[@TickerSymbolYOU]

You bet! Thank YOU!

[@strangefire2024]

the one who could declare victory is the one who's FSD would pass the tests of countless youtubers. nonetheless, competition is ALWAYS good for the final consumers and this will only force Tesla to do even better for our benefit.

[@4Leka]

Nvidia is smart. They are not competing with Tesla, because Tesla's competition is other auto manufacturers. And because they are behind Tesla, they will have to turn to nVidia for self-driving. So nVidia wins when Tesla wins.

[@jfkgoodfren3470]

This video has an ad for FTX talking about them being trusted etc etc, good content tho

[@cmnhl1329]

I hypothesise that the most dominant system in the future, will be built upon Brainchip’s Akida as its foundation

[@cenz5889]

I’m betting on it as well. BRCH has lowest energy consumption of all edge computing chips

[@cmnhl1329]

@@cenz5889 I’m predicting that the fourth iteration with its cortical technology will usher in a major paradigm shift

[@ec7287]

At this point you might want to edit out your ATX blurb. lol

[@ryzenforce]

I will never trust a self driving vehicle to insure my safety. They are things that a machine doesn't have but humans do like intuition and this have have saved more lives than any system will ever do. Assisted driving is what should be focused on to prevent accidents from happening, but not controling the vehicle itself.

[@prasaathviki7879]

Image processing, it is always risky. Because reflections are very hard to train. Imagine a mirror on back of a car which goes in front of a tesla car.

[@mackan7086]

Please help me understand. If Nvidia is so great at AI, then why do they have to manually label real world objects?

[@CollectiveConsciousness1111]

Liars, misleading and no mass production yet and years from it because they are all over 10 years behind, so they will have the overhead of paying tesla and on forward the cost to customers. They can't complete with Tesla !

[@oxide9717]

Aswear i typed a whole essay on why he's wrong about soooo many thing he said n I just deleted cos I think he's intentionally being disingenuous. Having more compute power doesn't mean you can solve a problem that's like comparing iPhone secs to Android. It's about the AI expert not compute power the reason why Tesla even moved to DOJO was to save on power consumption bcos isn't just doesn't care about Efficiency they latest chips consum about 1000w of power good luck trying to cool that and in a system like a self driving car efficiency is even important

[@oxide9717]

All NVIDIAs demos are then by themselves we've not seen any real world example of the soo called full self driving car by actual customers . There are meany Tesla FSD beta testers on KZbin alone that post the advancement of their software over time . And their doing all this with just cameras

[@sko1beer]

Tesla could probably teach them how to make enough graphic cards

[@GET2222]

@@oxide9717 I’m so on board with you. TSY guy made this for click bait and a response. He can’t be that dumb. Compute power is a fraction of the problem solving needed to solve AGI. In fact, creating a faster anything doesn’t solve anything. You need a processor to solve you individual computations for your own software. Not a general computer power for any AI solution. Wtf?

[@DarthJabba504]

The hurdle isn't tech. it's regulatory liability/insurance, and human nature.

[@thecrazyandthewild]

thanks

[@youtubestolemyusername3419]

Awesome subject and presentation. Thanks.

[@shrek22]

Does AMD have an equivalent product?

[@Cross-xm2fr]

gotta have both

[@JoshuaOwoyemi]

Why is no one talking about Comma AI. They have the second largest driving data collected after Tesla. They are already profitable and their platform allows them to turn any made car from 2008 upwards into self-driving. They are still private though.

[@roryscott9872]

They're not really attempting to make a fsd type thing just casual highway driving not much turning

[@JoshuaOwoyemi]

@@roryscott9872 I wouldn't say just casual highway driving based on what I've seen from them. If Tesla is Apple, then Comma AI is the true android. FSD companies need two things, software and platform (the cars). Only Tesla and Comma have both at scale IMO.

[@philipkung7261]

comma ai is an academic project compared to the scale these other companies are operating at. they’ve built a brilliant product but i don’t see it getting any bigger.

[@alexlo7708]

Not only Tesla or Nvidia ,Qualcomm also has a play in this field as well as Google and so many small firms.

[@TickerSymbolYOU]

I'll include those in the future!

[@andrewsaint6581]

Your don't try this at home example of people running down the middle of the road. Saw it recently - barefoot, shirtless man running towards the traffic in the outside lane of a 70mph dual carriageway. He was laughing at the chaos.

[@fritzstauff]

Is Dojo actually working? Sounded like they weren’t even sure it would work.

[@theailateshow368]

Dojo will also be offered as AI as a service.

[@theailateshow368]

Dojo might be live this summer.

[@timmoore6055]

I am not convinced that being the first to have a self driving car means much; one has to be able to scale that up rapidly, and Elong has the factories already. And while self driving cars seem slick to people, I am not at all sure how the insurance business is going to view them. And while we are on electric cars, the three grids we have all all in need of updating - no one seems eager to put a current dollar figure on that cost, but they rather go about it in increments. And after that is done, no one seems able to estimate how much additional demand for electricity will be created - but given the current electrical grids have problems delivering what we now need, there is a massive hole in the planning for this "wonderful" future. California, with about 4.5% of their vehicles being plugins has asked (not yet mandated) that people not charge their vehicles between 5 and 9 p.m. There also have been rumbles that people who have either bought or leased an electric car have a significant return to gas vehicles on the next round, something that is not widely addressed.

[@vidpic8311]

Focus on the future stop living in the past. . .

[@JL-qo7cs]

Doesn't Palantir collect data?

[@rogergeyer9851]

Musk SAYING practical robo-taxi level FSD will be here "real soon now" is different than it actually happening. Musk can call FSD "better than human drivers" all he wants, and claim that will happen real soon now, but I'll believe it when I see it (convincingly and consistently). And I say this as a long term Tesla shareholder who thinks things like data and trends and credibility matter.

[@jasonkay9345]

and without it ramming the cars into overturned semi trucks. Also, why hasnt there been more backlash over the responsibility dodging from Musk in the fact that the autopilot feature turns off right before a collision so Musk can say that autopilot wasnt in control of the car before the collision?

[@JS-bk4pn]

This was a great and informative video! Keep it up!

[@nikolaynikolov5306]

And this is how we and up with SKYNET!!!

[@scratch5120]

Think I will stick to a regular old steering wheel. These tech companies can’t even make a car stereo that doesn’t crash all the time.

[@leahcruz791]

Exciting.

[@HoundDogMech]

The problem with auto driving systems as I see it, It will , Like there are finding in pilots that Using autopilots diminishes a pilots skills and AUTOPILOTS Fail at the most inopportune times, Leaving Pilots with diminished skills to execrate the most difficult part of any flight LANDING in severely reduced flight conditions.

[@leahcruz791]

Yep both.

[@jayspinka3305]

Hey Alex, you think WEJO may have a place in this space?

[@TickerSymbolYOU]

Definitely. On the data and AI side.

[@finned958]

Nvidia needs real world driving. With the competition having just 25% EV marketshare, it’s not going to matter.

[@chuckz1452]

I accidentally deleted my post. Anyway, the gist….great video but Alex missed a huge disadvantage for Nvidia. Nvidia requires a massive amount of power compared to Tesla chip. This results in less range for the EV and a huge expense in energy for the supercomputer. This is a massive negative for the Nvidia solution to solve FSD for anyone trying to compete with Tesla. Any comments?

[@platoscavealum902]

👍 Good point ✅

[@joezip6389]

Very good point of view Thanks

[@GBCobber]

Wow. If the car is running a simulation as well as cameras and knows the road long before it reaches it, the time will come quickly when there's no way a human driver will compete.

[@llee4264]

appreciate your insightful comparison! simplifying technical terms for easier understanding 👍👍

[@davidpessina6563]

👀 GENIUS 👀

[@MrBabybull42]

This seem cool but very dangerous at the same time so much that can go wrong

[@ChristianSasso]

Sponsored by FTX..how much things can change in a few short 7 months..!

[@KlassicApparel]

nvda is the boss of A.I. chips period. yes tesla is great but NVIDIA focuses their whole business in Chips thats it.

[@benrabstar]

Great video. One thing to keep in mind; LiDAR does not work in rain or snow, as laser beams bounce off from droplets. Tesla builds a generic solution that works in all circumstances and everywhere.

[@TechFlexx]

You may be looking at it like Apple and Oranges. LiDAR isn’t meant to replace the generic solution (Tesla’s Vision FSD). It’s simply an addition going alongside the os( or any other OEM Self driving software). With all the neural engine working and running in real time… LiDAR would simply function as a map that’s pre projected, seen and known to the vehicle from far distances away. The software fills in all other gap(s). Hardware and software are both needed to work in sync. I strongly believe There’s still a lot of hesitation with Tesla fsd vision currently, and it’s also a lot of data transmitting at once in real time. There’s latency

[@magus1017]

That sponsor didn’t age well 😂

[@TickerSymbolYOU]

No it really didn’t 😭

[@bobbybrad5154]

Another great video thanks man 👌

[@mdn4937]

Both stock I own They have a real great future

[@kuriyamatidusflossy]

Elon Musk is Einstein with business mindset his vision will crush anything if he is going at it...You don't mess with the guy who says "I'm gonna build a colony on Mars here is my other company (SpaceX) working on that mission"

[@axelschwei]

cctv on wheels who maps the whole world in realtime. the wet dream of every secret service

[@Gurubu]

Great video thx! I also like how you prefaced it by roughly saying "FYI i'm not sh*tting on Tesla" to stave off the ragers :P