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Tesla’s nickel future will benefit the company and the consumer
It is no secret that batteries play a massive role in Tesla’s future. Not only do the materials that are mined for the company’s electric cars need to be sustainably sourced, but they need to fit the company’s long and short-term goals.
For a long time, the talk about electric vehicle batteries has been focused on cobalt. The chemical element is controversial for several reasons: it is expensive, it is mined in immoral ways in many countries, and it is not great for the environment. However, companies can choose to source it responsibly, and Tesla has maintained that its cobalt sources are moral and proper in their obtaining of the element.
But during yesterday’s Q2 2020 Earnings Call with Tesla executives, cobalt was not mentioned even once. The focus stood on nickel and the benefits it could play for future company projects, which are based on the foundation that batteries need to be long-lasting and energy-dense. This fact is especially prevalent when it comes to the company’s commercial Semi truck, which will be responsible for transitioning the considerable commerce and trucking industry to function more sustainably.
“Please mine more nickel,” CEO Elon Musk pleaded to mining companies. “Tesla will give you a giant contract for a long period of time if you mine nickel efficiently and in an environmentally sensitive way.”
Nickel is included in the current EV batteries that Tesla uses. A Nickel-Cobalt-Aluminum battery has been produced at Giga Nevada, but the company continues to submit patents that could revolutionize the way its batteries function. Ultimately, the goal is to have million-mile capable cells that will not only translate to a longer lifespan for an electric car but also an extended time of use for Tesla energy storage products.
Musk was adamant during yesterday’s call that Nickel mining is crucial to the company’s fleet of future vehicles. Why? Because Nickel-based battery cells can handle what the Tesla Semi will require to function, which is high energy density. This will ultimately translate to an extended range.
The Semi will be responsible for hauling massive amounts of cargo across the country. It will have to scale steep grades and handle different weather scenarios in every area it travels in. All of these factors will inevitably affect the Semi’s range, and the way to combat that is to come up with more energy-dense cells that are capable of handling a multitude of situations.
“Obviously, those are needed for something like Semi, where every, every unit of mass that you add in a battery pack, you have to subtract in cargo,” Musk said. “So it’s very important to have a mass efficient and long-range pack for four batteries.”
But Tesla’s nickel operation goes far past the company’s Semi plans. It also translates to be beneficial for passenger vehicles that are aimed toward mass-market production, like the Model 3 and Model Y.
After Tesla scrapped plans for the Standard Range RWD Model Y earlier this month, Musk indicated that the new normal for EVs should be 300 miles of range. The Standard Range Y wouldn’t fit that description, as the CEO said it would be capable of less than 250 miles. In Tesla terms, that is unacceptable.
A question during yesterday’s call suggested that Tesla could be shifting from smaller-pack vehicles to larger ones, but that doesn’t seem to be the case. The real struggle is creating effective electric transport across the entire market, instead of for one type of vehicle.
Range is a substantial part of driving an electric vehicle, regardless of who made the car. The focus for Tesla is increasing range and longevity for the company and the consumer. Across each of its cars, the range is of utmost importance, and it begins with nickel mining.
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
