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Tesla 3D labeling is the next big leap for Autopilot
Tesla’s 3D labeling efforts are integral to the development of its Full Self-Driving suite. Using over 2.2 billion miles of real-world driving data from its electric vehicle fleet, the electric car maker has a treasure trove of information about how human drivers behave.
Elon Musk recently confirmed that Tesla is finishing work on Autopilot core foundation code and 3D labeling, and once these are done, users can expect the electric carmaker to roll out more functionalities in a potentially more efficient manner. More advanced features such as Reverse Summon will also be rolled out.
Tesla 3D Labeling: The Next Big Thing
The Tesla CEO has tagged 3D labeling as the next big thing for the company’s efforts to achieve full self-driving. “In terms of labeling, labeling with video in all eight cameras simultaneously. This is a really, I mean in terms of labeling efficiency, arguably like a three order of magnitude improvement in labeling efficiency where Tesla vehicles use all of its eight cameras simultaneously, and that the company has improved significantly in terms of labeling efficiency,” Musk said during the Q4 2019 earnings call.
During Autonomy Day last year, Tesla’s AI head Andrej Karpathy gave the electric vehicle community an idea of how labeling is done. He said annotating data is a very expensive process that initially involved people processing data, but Tesla has also been using information from its fleet to automate the process of labeling using different mechanisms.
For example, in predicting cut-ins, Tesla taps into its fleet for data on such incidents. This information is then automatically annotated and used to train the neural network, which in turn learns from recognizable patterns. This information is then spun until the neural network is trained enough. Improvements in the neural network can then be rolled out as an update for Autopilot.
The same is true according to Karpathy when it comes to object detection. Tesla sources data from its fleet to learn more about different objects and anomalies on the road. With automated 3D labeling, the neural network can more efficiently process the information and learn even about the rarest things one can encounter on the road.
Karpathy and Musk explained how annotations from its fleet help with path prediction. Using trajectories collected from the real-world, the neural network can improve its driving behavior, say while approaching a corner that it doesn’t actively see. This smarter neural network is perfectly demonstrated by an older Model X with early-gen Autopilot negotiating a muddy rural backroad recently, after a storm in the United Kingdom.
All of these things form part of the equation to achieve Full Self-Driving capabilities. Likely through 3D labeling improvements in the past year or so, Tesla has immensely improved driving visualizations in vehicles equipped with Hardware 3, which now identify traffic lights, garbage cans, and detailed road markings, among others. Thus, Elon Musk’s explanation about rewriting the Autopilot foundational code and 3D labeling could be a way of emphasizing that Tesla owners’ investment in the company’s Full Self-Driving suite would be proven worth it and more soon.
Tesla’s FSD computer and autonomy software will transform how humans travel. The company’s vehicles will be smart enough to drive like humans and eventually make the roads a few times safer for everyone. This may also pave the way for Robotaxis and help achieve Musk’s vision of Teslas earning for their owners while they are busy with work or even while relaxing at home. Tesla Robotaxis would be an attractive form of transportation as they will be more cost-efficient compared to driving personal cars, as predicted by ARK Invest.
Autonomy As Key To Profitability
Autonomy will spell profits for Tesla, as Elon Musk explained during the company’s Q4 2019 earnings call. In order to achieve sustained profitability, Tesla needs to produce high volume units with high margins. Musk appears to consider autonomy as key to Tesla’s high margins as well.
“As we’re close to Full Self-Driving, that is just going to become more and more compelling. So that’s for our financial standpoint, that’s the real mind-blowing situation is high-volume, high-margin because of autonomy,” Musk said.
With FSD capabilities, Tesla adds more value proposition that can help sway even more customers to purchase its electric vehicles from the Model 3, Model Y, Model S, Model X, or the Cybertruck. Depending on regulations in specific regions, Tesla can tap into most of its earnings potential, which bodes well since the company has current plans to expand its presence worldwide with Gigafactories in multiple regions.
Tesla’s path to autonomy is only one of the aspects that make it the leader in the electric vehicle industry. Add to that its advancements on car connectivity and battery technology and one will complete the equation why legacy carmakers with the deepest of pockets can only watch in amazement as a relatively young electric car maker dominates the emerging EV industry.
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Tesla launches its coolest gift idea ever just a few weeks after it was announced
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention.”
Tesla has launched its coolest gift idea ever, just a few weeks after it was announced.
Tesla is now giving owners the opportunity to gift Full Self-Driving for one month to friends or family through a new gifting program that was suggested to the company last month.
The program will enable people to send a fellow Tesla owner one month of the company’s semi-autonomous driving software, helping them to experience the Full Self-Driving suite and potentially help Tesla gain them as a subscriber of the program, or even an outright purchase.
Tesla is going to allow owners to purchase an FSD Subscription for another owner for different month options
You’ll be able to gift FSD to someone! https://t.co/V29dhf5URj
— TESLARATI (@Teslarati) November 3, 2025
Tesla has officially launched the program on its Shop. Sending one month of Full Self-Driving costs $112:
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention. All sales are final. Can only be purchased and redeemed in the U.S. This gift card is valued at $112.00 and is intended to cover the price of one month of FSD (Supervised), including up to 13% sales tax. It is not guaranteed to cover the full monthly price if pricing or tax rates change. This gift card can be stored in Tesla Wallet and redeemed toward FSD (Supervised) or any other Tesla product or service that accepts gift card payments.”
Tesla has done a great job of expanding Full Self-Driving access over the past few years, especially by offering things like the Subscription program, free trials through referrals, and now this gift card program.
Gifting Full Self-Driving is another iteration of Tesla’s “butts in seats” strategy, which is its belief that it can flip consumers to its vehicles and products by simply letting people experience them.
There is also a reason behind pushing Full Self-Driving so hard, and it has to do with CEO Elon Musk’s compensation package. One tranche requires Musk to achieve a certain number of active paid Full Self-Driving subscriptions.
More people who try the suite are likely to pay for it over the long term.
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Tesla expands Robotaxi app access once again, this time on a global scale
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
Tesla has expanded Robotaxi app access once again, but this time, it’s on a much broader scale as the company is offering the opportunity for those outside of North America to download the app.
Tesla Robotaxi is the company’s early-stage ride-hailing platform that is active in Texas, California, and Arizona, with more expansion within the United States planned for the near future.
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
The platform has massive potential, and Tesla is leaning on it to be a major contributor to even more disruption in the passenger transportation industry. So far, it has driven over 550,000 miles in total, with the vast majority of this coming from the Bay Area and Austin.
First Look at Tesla’s Robotaxi App: features, design, and more
However, Tesla is focusing primarily on rapid expansion, but most of this is reliant on the company’s ability to gain regulatory permission to operate the platform in various regions. The expansion plans go well outside of the U.S., as the company expanded the ability to download the app to more regions this past weekend.
So far, these are the areas it is available to download in:
- Japan
- Thailand
- Hong Kong
- South Korea
- Australia
- Taiwan
- Macau
- New Zealand
- Mexico
- U.S.
- Canada
Right now, while Tesla is focusing primarily on expansion, it is also working on other goals that have to do with making it more widely available to customers who want to grab a ride from a driverless vehicle.
One of the biggest goals it has is to eliminate safety monitors from its vehicles, which it currently utilizes in Austin in the passenger’s seat and in the driver’s seat in the Bay Area.
A few weeks ago, Tesla started implementing a new in-cabin data-sharing system, which will help support teams assist riders without anyone in the front of the car.
Tesla takes a step towards removal of Robotaxi service’s safety drivers
As Robotaxi expands into more regions, Tesla stands to gain tremendously through the deployment of the Full Self-Driving suite for personal cars, as well as driverless Robotaxis for those who are just hailing rides.
Things have gone well for Tesla in the early stages of the Robotaxi program, but expansion will truly be the test of how things operate going forward. Navigating local traffic laws and gaining approval from a regulatory standpoint will be the biggest hurdle to jump.
Tesla received a price target boost from Morgan Stanley, according to a new note on Monday morning, but there is some considerable caution also being communicated over the next year or so.
Morgan Stanley analyst Andrew Percoco took over Tesla coverage for the firm from longtime bull Adam Jonas, who appears to be focusing on embodied AI stocks and no longer automotive.
Percoco took over and immediately adjusted the price target for Tesla from $410 to $425, and changed its rating on shares from ‘Overweight’ to ‘Equal Weight.’
Percoco said he believes Tesla is the leading company in terms of electric vehicles, manufacturing, renewable energy, and real-world AI, so it deserves a premium valuation. However, he admits the high expectations for the company could provide for a “choppy trading environment” for the next year.
He wrote:
“However, high expectations on the latter have brought the stock closer to fair valuation. While it is well understood that Tesla is more than an auto manufacturer, we expect a choppy trading environment for the TSLA shares over the next 12 months, as we see downside to estimates, while the catalysts for its non-auto businesses appear priced at current levels.”
Percoco also added that if market cap hurdles are achieved, Morgan Stanley would reduce its price target by 7 percent.
Perhaps the biggest change with Percoco taking over the analysis for Jonas is how he will determine the value of each individual project. For example, he believes Optimus is worth about $60 per share of equity value.
He went on to describe the potential value of Full Self-Driving, highlighting its importance to the Tesla valuation:
“Full Self Driving (FSD) is the crown jewel of Tesla’s auto business; we believe that its leading-edge personal autonomous driving offering is a real game changer, and will remain a significant competitive advantage over its EV and non-EV peers. As Tesla continues to improve its platform with increased levels of autonomy (i.e., hands-off, eyes-off), it will revolutionize the personal driving experience. It remains to be seen if others will be able to keep pace.”
Additionally, Percoco outlined both bear and bull cases for the stock. He believes $860 per share, “which could be in play in the next 12 months if Tesla manages through the EV-downturn,” while also scaling Robotaxi, executing on unsupervised FSD, and scaling Optimus, is in play for the bull case.
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Meanwhile, the bear case is placed at $145 per share, and “assumes greater competition and margin pressure across all business lines, embedding zero value for humanoids, slowing the growth curve for Tesla’s robotaxi fleet to reflect regulatory challenges in scaling a vision-only perception stack, and lowering market share and margin profile for the autos and energy businesses.”
Currently, Tesla shares are trading at around $441.
Tesla launches its coolest gift idea ever just a few weeks after it was announced
Tesla expands Robotaxi app access once again, this time on a global scale
