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Tesla formally wins final environmental approval to open Gigafactory Berlin
The wait is finally over. After a long process that saw delays, controversies, and other drama, Tesla Gigafactory Berlin has won its final environmental approval from Germany. An official document confirming the update was published by the State of Brandenburg, outlining the next steps that the electric vehicle maker needs to do to start vehicle production in its Germany-based electric vehicle factory.
As per the state’s press release, the approval for Giga Berlin covers several activities, such as the production of up to 500,000 vehicles per year. The approval also includes battery cell production activities within the Giga Berlin complex, which should allow Tesla to manufacture its in-house cells from within Germany.
“The project, which was approved with the 536-page decision, includes the plant for the production of up to 500,000 vehicles per year, aluminum smelting plants and an aluminum foundry, plants for surface treatment, heat generation, and storage. The facility also includes battery cell production, an operational wastewater treatment plant, a fire brigade equipment house, a high-bay warehouse, as well as laboratories and workshops,” the press release read.
It should be noted that while it may have taken two years to get to this point, Gigafactory Berlin’s formal approval was still completed in a quick manner, at least relatively speaking. The past two years, after all, required the State Office of the Environment to not only inspect and approve the factory itself, but also the entire industrial area with several large-scale facilities. Environment Minister Alex Vogel expressed his thanks to the state’s employees and other authorities for Giga Berlin’s quick approval process.
“As a high-performing state administration, you have always focused on the technical requirements, the high level of protection of the environment, the protection of the general public and the neighborhood from dangers, even under the pressure of great public interest and unreasonable harassment as well as the legal certainty of the procedure. In times of climate crisis, the availability of water will play an increasingly important role for future developments and settlements. Above all, digitization can help to simplify and accelerate processes without restricting environmental standards and participation rights,” Vogel said.
District Administrator Rolf Lindemann emphasized that Giga Berlin benefits the region. The fact that the project faced much adversity, and was still able to achieve a milestone such as a final environmental approval in a relatively short time, proves that the project’s potential is vast. He also noted that Giga Berlin, as well as those that have been working with Tesla over the past two years to approve the project, shall face whatever challenges lie ahead with vigor.
“The Oder-Spree district described the Tesla Gigafactory as a real stroke of luck for the development of our region. We have therefore mobilized all our strength to help turn this unique opportunity into a visible success. It wasn’t always easy, and we’re anything but done when it comes to the final form of the overall project. But we all have reason to be proud of what we have achieved so far, despite all prophecies of doom.
“That is why we will face the further challenges that lie ahead with confidence and with undiminished vigor. I am referring to the official support of the further expansion stages, the completion of the battery factory and of great importance, especially for local politics: as far as possible, a stress-free integration of the Gigafactory into the traffic infrastructure . However, in order to be able to meet the sustainability aspect and smooth mobility in connection with production, it is of course necessary to start building housing close to the location and to create the associated social infrastructure. We trust in the same support from the state government that we have been able to rely on in the past,” Lindemann said.
While Giga Berlin’s final environment approval has been secured, Tesla still has to ensure that it meets the state’s requirements. These are highlighted by the mammoth size of its approval documents, which comprise over 23,700 pages in 66 files. More than 400 ancillary provisions are included, involving topics such as requirements for groundwater protection as well as water-saving and wastewater-reducing measures, species protection measures, limit values for air pollutants and regulations on their measurement as well as occupational safety requirements. Other specific rules on the plant’s operations, particularly with regards to how it affects the area’s groundwater, were also highlighted in the press release.
“There are 113 air pollution control requirements, which include respective chimney heights for each exhaust air stream. In addition, 22 requirements determine the methods and intervals at which the exhaust air is to be measured. 96 requirements for drinking water protection, waste water disposal and rainwater specify, among other things, limit values for discharge into the waste water pressure line and corresponding cleaning processes. When using building materials, it is important to ensure that no harmful substances get into the groundwater. With groundwater monitoring, both the formation of new groundwater and the quality of the groundwater must be checked regularly. In view of the tense water situation, not least due to climate change, it should be possible to react to changes as early as possible.
“After the inspection by the approval authority, the entire system falls under the provisions of the Hazardous Incidents Ordinance (12th BImSchV) and must therefore take special precautions to prevent incidents and limit the effects of incidents, as well as maintain an appropriate safety distance from adjacent protected objects. Tesla must draw up an incident concept and comply with special information obligations,” the press release read.
The state noted that Tesla may now start or continue with the further construction of Giga Berlin and that objections to the project now have “no suspensive effect.” It should be noted, however, that before Tesla can actually put its Model Y production facility into operation, several ancillary provisions must be met first. These provisions, which include the installation of measuring devices for air pollutants and precautions for fire protection and accidents, will be checked by the responsible authorities. Once Tesla completes this step, Model Y production for customer vehicles could finally commence.
Needless to say, all eyes are now focused on how quickly Tesla can meet the requirements for Giga Berlin’s operational permit.
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News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
