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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 ships out update that brings massive change to two big features
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
Tesla has shipped out an update for its vehicles that was caused specifically by a California lawsuit that threatened the company’s ability to sell cars because of how it named its driver assistance suite.
Tesla shipped out Software Update 2026.2.9 starting last week; we received it already, and it only brings a few minor changes, mostly related to how things are referenced.
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
The following changes came to Tesla vehicles in the update:
- Navigate on Autopilot has now been renamed to Navigate on Autosteer
- FSD Computer has been renamed to AI Computer
Tesla faced a 30-day sales suspension in California after the state’s Department of Motor Vehicles stated the company had to come into compliance regarding the marketing of its automated driving features.
The agency confirmed on February 18 that it had taken a “corrective action” to resolve the issue. That corrective action was renaming certain parts of its ADAS.
Tesla discontinued its standalone Autopilot offering in January and ramped up the marketing of Full Self-Driving Supervised. Tesla had said on X that the issue with naming “was a ‘consumer protection’ order about the use of the term ‘Autopilot’ in a case where not one single customer came forward to say there’s a problem.”
This was a “consumer protection” order about the use of the term “Autopilot” in a case where not one single customer came forward to say there’s a problem.
Sales in California will continue uninterrupted.
— Tesla North America (@tesla_na) December 17, 2025
It is now compliant with the wishes of the California DMV, and we’re all dealing with it now.
This was the first primary dispute over the terminology of Full Self-Driving, but it has undergone some scrutiny at the federal level, as some government officials have claimed the suite has “deceptive” names. Previous Transportation Secretary Pete Buttigieg was one of those federal-level employees who had an issue with the names “Autopilot” and “Full Self-Driving.”
Tesla sued the California DMV over the ruling last week.
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Tesla workers push back against Giga Berlin unionization
“IG Metall did not succeed in Giga Berlin‘s works council election earlier today. The union share was reduced from nearly 40% in 2024 to 31% in 2026! This is a clear message by the Giga Berlin team towards an independent co-determination! The list called Giga United, led by the current chairwoman, Michaela Schmitz, received the most votes with more than 40%! Good news for Giga Berlin!”
Tesla workers pushed back against unionization efforts at Gigafactory Berlin, and over the past few years, there has been a dramatic decrease in interest to unionize at the German plant.
Gigafactory Berlin Plant Manager André Thierig announced on Wednesday that IG Metall, the European union group, saw its share reduce from 40 to 31 percent in 2026 as employees eligible to vote on the issue. Instead, the Giga Berlin team, known as Giga United, received the most votes with more than 40 percent.
BREAKING! 🚨
IG Metall did not succeed in Giga Berlin‘s works council election earlier today. The union share was reduced from nearly 40% in 2024 to 31% in 2026!
This is a clear message by theGiga Berlin team towards an independent co-determination!
The list called Giga…
— André Thierig (@AndrThie) March 4, 2026
Thierig gave specific details in a post on X:
“IG Metall did not succeed in Giga Berlin‘s works council election earlier today. The union share was reduced from nearly 40% in 2024 to 31% in 2026! This is a clear message by the Giga Berlin team towards an independent co-determination! The list called Giga United, led by the current chairwoman, Michaela Schmitz, received the most votes with more than 40%! Good news for Giga Berlin!”
There were over 10,700 total employees who were eligible to vote, with 87 percent of them turning out to cast what they wanted. There were three key outcomes: Giga United, IG Metall, and other notable groups, with the most popular being the Polish Initiative.
The 37-seat council remains dominated by non-unionized representatives, preserving Giga Berlin as Germany’s only major auto plant without a collective bargaining agreement.
Thierig and Tesla framed the outcome as employee support for an “independent, flexible, and unbureaucratic” future, enabling acceleration on projects like potential expansions or new models. IG Metall expressed disappointment, accusing management of intimidation tactics and an “unfair” campaign.
The first election of this nature happened back in 2022. In 2024, IG Metall emerged as the largest single faction with 39.4 percent, but non-union lists coalesced for a majority.
But this year was different. There was some extra tension at Giga Berlin this year, as just two weeks ago, an IG Metall rep was accused by Tesla of secretly recording a council meeting. The group countersued for defamation.
Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint
This result from the 2026 vote reinforced Tesla’s model of direct employee-management alignment over traditional German union structures, amid ongoing debates about working conditions. IG Metall views it as a setback but continues advocacy. Tesla sees it as validation of its approach in a competitive EV market.
This outcome may influence future labor dynamics at Giga Berlin, including any revival of expansion plans or product lines, which Musk has talked about recently.
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SpaceX President Gwynne Shotwell details xAI power pledge at White House event
The commitment was announced during an event with United States President Donald Trump.
SpaceX President Gwynne Shotwell stated that xAI will develop 1.2 gigawatts of power at its Memphis-area AI supercomputer site as part of the White House’s new “Ratepayer Protection Pledge.”
The commitment was announced during an event with United States President Donald Trump.
During the White House event, Shotwell stated that xAI’s AI data center near Memphis would include a major energy installation designed to support the facility’s power needs.
“As you know, xAI builds huge supercomputers and data centers and we build them fast. Currently, we’re building one on the Tennessee-Mississippi state line. As part of today’s commitment, we will take extensive additional steps to continue to reduce the costs of electricity for our neighbors…
“xAI will therefore commit to develop 1.2 GW of power as our supercomputer’s primary power source. That will be for every additional data center as well. We will expand what is already the largest global Megapack power installation in the world,” Shotwell said.
She added that the system would provide significant backup power capacity.
“The installation will provide enough backup power to power the city of Memphis, and more than sufficient energy to power the town of Southaven, Mississippi where the data center resides. We will build new substations and invest in electrical infrastructure to provide stability to the area’s grid.”
Shotwell also noted that xAI will be supporting the area’s water supply as well.
“We haven’t talked about it yet, but this is actually quite important. We will build state-of-the-art water recycling plants that will protect approximately 4.7 billion gallons of water from the Memphis aquifer each year. And we will employ thousands of American workers from around the city of Memphis on both sides of the TN-MS border,” she noted.
The Ratepayer Protection Pledge was introduced as part of the federal government’s effort to address concerns about rising electricity costs tied to large AI data centers, as noted in an Insider report. Under the agreement, companies developing major AI infrastructure projects committed to covering their own power generation needs and avoiding additional costs for local ratepayers.