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Mercedes breaks ground on new battery recycling facility in Germany
Mercedes has broken ground on a new battery recycling facility in Germany, focusing on “closing the loop” and allowing the automaker to source more battery materials sustainably.
Two of the biggest challenges in the industry of electric vehicles are the price of battery materials and what happens with batteries when they are at the end of their useable lives. Yet more and more manufacturers are finding that these two problems can help solve each other through the use of battery recycling. In efforts to source more materials more sustainably and cheaply, Mercedes has broken ground on its first battery recycling facility that will slowly ramp to help meet the automaker’s material demand.
Mercedes’ new facility in Kuppenheim, Germany, aims to achieve a remarkable 96% recovery rate for four key materials; lithium, cobalt, nickel, and eventually graphite. It will have an annual recycling capacity of 2,500 tons and aims to begin processing by the end of this year.
“This foundation symbolizes the decisive step towards closing the material cycle for batteries from Mercedes-Benz,” says Jörg Burzer, Member of the Board of Management at Mercedes-Benz. “With a recycling rate of more than 96 percent, a ‘mine of tomorrow’ is being created here in Kuppenheim. The innovative technology approach enables us to incorporate the valuable raw materials into new Mercedes-EQ vehicles. We are consistently expanding our expertise of the battery value chain and are taking an important step in our strategy towards ‘Electric Only.’”
Mercedes also specifies that the new facility will be 100% carbon neutral as part of the German automaker’s continuing efforts to decarbonize its production facilities in the coming years. This is achieved through a mix of solar energy installed at the facility and green energy purchased from the grid.
German regulators were quick to point out that the new facility will also be a vital part of the country’s efforts to limit dependence on rare earth imports, which were particularly affected on the European continent due to the COVID pandemic, COVID restrictions in China, and the Rissian invasion of Ukraine.
“This is of particular importance in view of the limited availability of important and highly sought-after raw materials such as lithium, cobalt or nickel,” noted Thekla Walker, Minister for the Environment, Climate Protection and the Energy Sector Baden-Württemberg. “Crises such as the corona pandemic or the brutal Russian war of aggression against Ukraine have clearly demonstrated our dependence on supply chains and primary raw materials. Increased recycling can help to reduce this dependence on critical raw materials and thus strengthen the resilience of the economy.”
Mercedes joins the likes of Tesla, General Motors, and many others, establishing battery recycling capabilities worldwide. Tesla has already announced that it would make recycled materials a bigger part of its production with the help of Redwood materials. General Motors has worked closely with Lithion to establish battery recycling as part of its planned introduction of numerous EVs in the near future. While at the same time, national governments are also incentivizing many of these projects to help reduce the waste that could become an issue in a wholly electrified future.
Late last month, the U.S. Department of Energy granted one of its first-ever lithium battery recycling loans to a battery recycler in Upstate New York, LiCycle. And with the growing need for this infrastructure, the agency is expected to continue to invest in the future.
As Mercedes rapidly grows the number of electric vehicles it sells globally over the coming years, battery recycling plants like this will be critical to its growth and success. Hopefully, it can pose as an example for other manufacturers moving forward, helping to make EVs increasingly more sustainable.
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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.”
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
