News
Tesla Giga Berlin employees bid farewell to ‘Mister Gigafactory’
Tesla employees that are working at the company’s Giga Berlin project in Germany are bidding farewell to Evan Horetsky, the company’s manager for the site.
Tesla reportedly relieved Giga Berlin Horetsky from his position on Thursday. The reasons for his dismissal are currently unknown.
However, last week, Tesla’s Global Supply Manager of Construction, Michaela Schmitz, was already saying her goodbyes to Horetsky. “it was my honor to work for and with you. We will finish it for you, Giga Meister. Take care!!” she said on one of Horetsky’s LinkedIn posts.
According to Rbb24, a German media site, people close to the Giga Berlin project stated that Horetsky was relieved of his duties. Some are speculating it is because of the water bill fiasco that took place last week.
However, Schmitz’s post was published on Horetsky’s LinkedIn before the water bill issue took place. This indicates that Horetsky may have been let go before the water was shut off at the construction site, and could be an indication of why the bill wasn’t paid.
Teslarati reported the rumors of a water shutoff at the Giga Berlin site. However, the water was still seen running normally, and the project never halted, local sources said.
I was at the GIGABERLIN at 17:00 pm
and could see that the cement mixing plant was still working and cement transporters were cleaned, WITH WATER.
it looks like the water is running.!!!! pic.twitter.com/LYLdHZ9g0Z— Gigafactory Berlin News (@Gf4Tesla) October 15, 2020
However, the report from Rbb24 says that the Strausberg Erkner water association did have a past due amount that went unpaid. Tesla paid the balance, and the water service was reactivated shortly after.
The site reported:
“Last week, the Strausberg Erkner Tesla water association had temporarily shut off the construction water because a payment deadline had expired. After the money was received, the water ran again.”
While the water bill was quickly taken care of because there appeared to be no interruption in Giga Berlin’s construction, the project manager’s responsibility would likely be to ensure that no possibility of interruptions could occur. This starts with the routine paying of bills that keep the site operating as usual.
If Horetsky was let go on early last week, there may have been nobody to handle paying the bill, which could be the reason as to why the water was shut off at the site temporarily.
Interestingly, Horetsky has supervised other Tesla projects, including the completion of Tesla Gigafactory 1 in Sparks, Nevada, and the initial construction phases of Giga Shanghai in China. Horetsky also oversaw the Fremont plant’s preparations for vehicle production. It is possible that Horesky could be assisting with other Tesla projects, as Giga Texas is also in its construction stages.
During Tesla’s Q3 Earnings Call on Wednesday, October 21st, the company outlined the timeline for Giga Berlin’s first phases of production, which are expected to begin in Summer 2021.
The company said in its Update Letter:
“Construction of the Gigafactory in Berlin continues to progress rapidly. Buildings are under construction, and equipment move-in will start over the coming weeks. At the same time, the Giga Berlin team continues to grow. Production is expected to start in 2021.”
According to Tesla’s Senior VP of Powertrain and Energy Engineering Drew Baglino, Giga Berlin’s initial ramp will require assistance from its pilot 4680 battery cell production line in Fremont.
Tesla’s pilot 4680 battery cell line in CA will support Giga Berlin’s initial ramp
“We will incorporate 4680 design solutions into many applications in time across both energy and vehicle, and we can use our pilot production facility in Fremont to support the new factory in Berlin as it ramps,” Baglino said.
Tesla will introduce the Model Y to Giga Berlin’s production lines initially but plans to manufacture other vehicles at the German plant in the future.
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.”
News
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
