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Tesla locks in world’s largest cobalt supplier Glencore for Gigafactory Shanghai, Berlin
Tesla has secured a deal to purchase 12 million pounds of cobalt annually from Glencore, a Swiss-based company that is recognized as the world’s largest miner of the metal. The partnership will keep Tesla away from a possible supply squeeze of cobalt as more automakers aim to break into the EV sector in the future.
The deal will supply both Giga Shanghai and Giga Berlin with enough of the metal to avoid a shortage in the future. With the electric vehicle sector continuing to grow, and demand for Tesla vehicles expanding in both Europe and Asia, the company has struck a deal that will alleviate any supply shortage concerns in the coming years.
The terms of the deal are unknown, and neither company responded to inquiries from Bloomberg, which first reported the partnership between the electric car maker and the cobalt supplier.
In both China and Europe, popular automakers like Volkswagen, BMW, and BYD are preparing for a future with electric transportation. In 2017 and 2018, a shortage in cobalt caused prices to spike, which seems to have given Tesla CEO Elon Musk the indication that his company must begin developing a battery that was less reliant on the metal. While Tesla continues to work on battery cells that are free of cobalt, the deal with Glencore ensures that the electric car maker will not be in short supply in the foreseeable future.
Tesla had been discussing the terms of a deal with Glencore since mid-January. However, Glencore’s automotive supply chain goes past the Silicon Valley-based automaker. The company signed an agreement with BMW in April 2019, and also with Korean battery manufacturer SK Innovation in December 2019.
Tesla is looking to ramp up production outside of the United States as demand continues to increase across the globe. With the company planning to begin a steady push of the Model Y in Europe and Asia in 2021, Tesla’s battery supply chain must be efficient and dependable to ensure a steady flow of reliable electric vehicles.
Giga Shanghai is currently producing vehicles at a run-rate of 200,000 a year, with production expected to increase when Tesla completes phase 2A of the facility. The completion of the second phase in China will introduce the Model Y to the largest automotive market in the world.
Meanwhile, Giga Berlin is still roughly a year away from its initial production push, which will begin with the Model Y. However, Tesla anticipates an annual production rate of 500,000 electric cars per year.
Tesla recently expanded on its use of cobalt within its battery cells in the 2019 Impact Report. The company currently utilizes “nickel-rich cathode materials” in its cells, which contain less cobalt concentration than cathode chemistries that other companies use in their batteries.
The company also expanded on its practices of using cobalt, which is controversial on its own due to its mining practices in the Democratic Republic of Congo. Glencore owns a mine in the DRC, but it is currently closed for maintenance. Tesla’s suppliers are required to follow the company’s “Supplier Code of Conduct” and its “Human Rights and Conflict Minerals Policy.” Each of Tesla’s suppliers is subjected to an annual third-party to ensure safe and humane mining practices.
Tesla’s deal with Glencore will ensure safe and humane cobalt mining, but it will also ensure the company’s long-term success as production and demand for continue to rise. The electric automaker will undoubtedly let go of any concern that may have to do with supply shortages while the industry continues to grow amid more competition entering the sector.
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
