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Grünheide Mayor shares update on Tesla Giga Berlin’s proposed expansion plan
Grünheide Mayor Arne Christiani has written a letter outlining an updated proposal for Tesla Giga Berlin’s planned expansion. The new proposal would involve Tesla cutting significantly fewer trees than initially intended, among other things. The proposal comes after the residents of Grünheide voted to deny Tesla’s request to clear out another 100 hectares of monoculture forest from the area.
Giga Berlin’s forest clearing activities have attracted criticism since the facility’s earliest days. More recently, anti-Tesla protesters have even gone so far as to build treehouses to show their defiance of the EV maker’s tree-clearing plans. What has been lost over the years, however, is the fact that the trees in the Giga Berlin complex are not a natural forest. Instead, it is a tree farm that’s originally intended to be used for cardboard, as noted by Elon Musk back in 2020.
Giga Berlin / GF4 will absolutely be designed with sustainability and the environment in mind— Elon Musk (@elonmusk) January 25, 2020
Despite this, Tesla’s tree-clearing activities have remained controversial. This came to a head recently when Grünheide residents were asked to vote for or against Giga Berlin’s planned expansion, which would, unsurprisingly, involve more of the monoculture forest being cut down. Ultimately, residents decided to vote against the EV maker’s plans. But in his letter, Grünheide Mayor Christiani noted that Tesla could adjust its plans so that less of the tree farm would be cut down.
Following is a translated version of the Grünheide Mayor’s letter.
After the vote of the citizens of #Grünheide against clearing another 100 ha at #GigaBerlin, a new sketch for an adjusted development plan has been published.
This would make all planned infrastructure projects possible, while saving 70 ha of forest.https://t.co/ID3FDn5z0n pic.twitter.com/0A7g611MsI— Tobias Lindh (@tobilindh) March 14, 2024
Dear residents,
Dear municipal representatives,
First of all, I would like to thank you all for the high level of participation in the residents’ survey.
The result of the residents’ survey on the submitted B-Plan No. 60 was clear to us, and we respect the opinions expressed.
Why is B-Plan No. 60 so important?
In my view, B-Plan No. 60 is urgently needed, as otherwise, the necessary transport infrastructure projects cannot be implemented in the foreseeable future, which would have considerable negative consequences for our community and the environment.
What has been adapted?
1. Preservation of 70.3 ha of Forest
The primary planning objective is to preserve as much of the forest as possible on the area covered by development Plan No. 60. To this end, around 47 ha, which was originally planned as industrial land, is now designated as forest land. In addition to further forest areas, which are secured by a planting commitment, a total of around 70.3 ha of forest will now be preserved. The adjusted planning is thus intended to take account of your wishes and ensure that the forest is preserved as far as possible under planning law.
2. State Roads and Goods Station
The existing traffic infrastructure cannot cope with the foreseeable volume of traffic. The other primary planning objectives are the creation of a planning law for the adapted and optimized planning of the state roads L 386 (as a relief for the existing L 38) and L 23, as well as for the possible realization of a company-owned goods station. This freight depot is the necessary prerequisite for the fact that significant volumes of traffic can be handled by rail, which will considerably reduce the volume of traffic on the roads in our districts.
Contrary to the frequent assertion that the construction of a freight station would also be possible on the existing site of the electric car manufacturer, it must be said that this is not possible due to the relocation of a Deutsche Bahn switch to the east and therefore due to technical railroad requirements. This also requires an adjustment to the planning for the L 386 already established in B-Plan No. 13, 1st amendment.
The original intention of the planning to significantly expand the operational area for the Gigafactory is now reduced to a small extent and only made possible to the extent that the connection of the factory premises to the L 386 can take place.
Another frequently voiced assertion that the establishment of development Plan no. 60 was intended to create a prerequisite for increasing production capacities must also be rejected! This was never the aim of the planning! It was merely a matter of creating additional storage and logistics space as well as the possibility of accommodating employee-related facilities. The latter facilities have now been completely omitted. Areas for storage and logistics will be significantly reduced in size.
The public and authorities will be consulted again on the amended draft of B-Plan No. 60 from 21.03.2024 to 04.04.2024 in accordance with Section 4a (3) BauGB.
For you and our municipality of Grünheide (Mark).
Arne Christiani
Mayor
Below are the updated plans for Tesla Giga Berlin’s proposed expansion.
Entwurf BPlan Gemeinde Gr Nheide Mark by Simon Alvarez on Scribd
Mayor Christiani’s letter can be viewed below.
Erkl Rung B Plan Gem.gr Nheide Mark by Simon Alvarez on Scribd
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
