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Tesla formally wins final environmental approval to open Gigafactory Berlin

Credit: @Gf4Tesla/Twitter

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4 years ago

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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. 

Giga Berlin’s new graffiti panels as of early FebruGiga Berlin’s new graffiti panels as of early February 2022. (Credit: @Gf4Tesla/Twitter)ary 2022. (Credit: @Gf4Tesla/Twitter)

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.  

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“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. 

A look inside Tesla Giga Berlin’s body shop for the Model Y. (Credit: Tesla Inc.)

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. 

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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. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla confirms Cybercab with no steering wheel enters production

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1 hour ago

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April 25, 2026

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Tesla has confirmed today that its steering wheel-less and pedal-less Cybercab, the vehicle geared toward launching the company’s autonomous ride-hailing hopes, has officially entered production at its Giga Texas production facility outside of Austin.

The Cybercab is a sleek two-door, two-passenger coupe engineered from the ground up as an electric self-driving vehicle. It features no steering wheel or pedals, relying instead on Tesla’s advanced vision-only Full Self-Driving system powered by multiple cameras and artificial intelligence.

The minimalist cabin centers on a large display screen that serves as the primary interface for passengers, creating an open, futuristic space optimized for comfort during unsupervised rides. A compact 35-kilowatt-hour battery pack delivers exceptional efficiency at 5.5 miles per kilowatt-hour, providing an estimated 200-mile range.

Additional innovations include inductive charging compatibility and a lightweight design that enhances aerodynamics and performance.

Production at Giga Texas builds on earlier prototypes and initial units completed earlier in 2026. The facility, already a hub for Model Y and Cybertruck assembly, now ramps up dedicated lines for the Cybercab.

This shift to volume manufacturing reflects Tesla’s strategy to scale affordable autonomous vehicles rapidly.

By focusing on a dedicated platform rather than adapting existing models, the company aims to keep costs low while prioritizing safety and reliability through continuous AI improvements.

The Cybercab’s debut in production carries broad implications for urban mobility. As the cornerstone of Tesla’s Robotaxi network, it promises on-demand, driverless rides that could slash transportation expenses, reduce traffic accidents caused by human error, and lower emissions through its all-electric powertrain.

Accessibility features, such as space for service animals or assistive devices, further broaden its appeal. Regulators and cities worldwide will soon evaluate its deployment, but the vehicle’s design already addresses key hurdles in scaling unsupervised autonomy.

Challenges persist, including full regulatory clearance and building charging infrastructure. Yet this production launch signals momentum. With Cybercabs poised to roll out in increasing numbers, Tesla edges closer to a future where personal ownership meets shared fleets of intelligent vehicles.

The start of Cybercab production is more than just a new vehicle entering mass manufacturing for Tesla, as it’s a signal autonomy is near. Being developed without manual controls is such a massive sign by Tesla that it trusts its progress on Full Self-Driving.

While the development of that suite continues, Tesla is making a clear cut statement that it is prepared to get its fully autonomous vehicle out in public roads as it prepares to revolutionize passenger travel once and for all.

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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Published

21 hours ago

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April 24, 2026

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”
As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”
This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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Tesla plans to resolve its angriest bunch of owners: here’s how

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

Published

24 hours ago

on

April 24, 2026

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla has a plan to make Hardware 3 owners whole after CEO Elon Musk admitted that those with that self-driving chip in their cars will not have access to unsupervised Full Self-Driving.

The company’s strategy is so crazy that it is sort of hard to believe.

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

During the Tesla Q1 earnings call on Wednesday, Musk finally clarified what the company’s plans are for Hardware 3 owners, what they will be offered, and what Tesla will have to do internally to prepare for it.

The answer was somewhat mind-boggling.

Musk said:

“Unfortunately, Hardware 3 — I wish it were otherwise, but Hardware 3 simply does not have the capability to achieve unsupervised FSD. We did think at one point it would have that, but relative to Hardware 4, it has only 1/8 of the memory bandwidth of Hardware 4. And memory bandwidth is one of the key elements needed for unsupervised FSD.”
He continued, stating that HW3 owners would have the opportunity to trade their cars in at a discounted rate in order to get the AI4 chip:

“So for customers that have bought FSD, what we’re offering is essentially a trade-in — like a discounted trade-in for cars that have AI4 hardware, and we’ll also be offering the ability to upgrade the car, to replace the computer. And you also need to replace the cameras, unfortunately, to go to Hardware 4.”
Obviously, Tesla has a lot of people to work with and make this whole thing right. Musk was adamant that HW3 would be capable of FSD, and now that the company has finally admitted that it is not, there are some things that could come of this.

There has been open talk about some sort of class action lawsuit against Tesla. The promises that Tesla made previously could be considered a breach of contract or even false advertising, and that’s according to Grok, Musk’s own AI program.

Musk went on to say that Tesla would likely have to establish new microfactories to effectively and efficiently replace HW3 computers and cameras:

…So to do this efficiently, we’re going to have to set up, like kind of micro factories or small factories in major metropolitan areas in order to do it efficiently. Because if it’s done just at the service center, it is extremely slow to do so and inefficient. So we basically need like many production lines to make the change.”
This is going to be an extremely costly process, especially if Tesla has to buy real estate, properties, and equipment to complete this work. Additionally, there was no wording on pricing, but Musk never said it would be free. It will likely come with some kind of price tag, and HW3 owners, after being left hanging for so long, will have something to say about that.

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