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Why Tesla wants to open its Supercharger to the competition
In a very bold move, Musk is considering opening the company’s intellectual property (IP) for its Superchargers inviting the competition in, breaking away from outmoded fights.
Just when you think you had Tesla figured out, Elon Musk, Tesla Motors’ CEO, throws in another bit to the overall electric vehicle (EV) picture, once again, changes the background.
Tesla embraces openness
The one thing almost all companies have in common is secrecy. Carmakers are no different and jealously keep trade secrets. What makes Tesla Motors unique and part of its success, is its engineering, which is off limit to GM, Ford and the rest. Companies edge out their products and services by keeping their know-how in-house in order to dominate a market, or a part of it. Even if some things are off limits, all carmakers pull apart others’ cars to see how they were engineered. If this was an effective strategy until now, it has its limits. Pushed to the maximum, it strangles markets and consumers are left to pay the price. There is less choice and innovations. Eventually, someone has to break the trends and breath new life. Is this what Tesla is trying to do? Not so fast.
Supercharge me and everyone else
Elon Musk says someone has to take the first step and Tesla Motors is the company to show the way forward. We couldn’t agree more. We’re tired of living in the stone age, we want a modern world that holds up to its promise and potential.
A company opening up the IP of its Supercharger network to create a “standard technical specification that other electric car makers can adopt,” as Engadget puts it, is a bold move forward.
But is it naïve, or simply a brilliant move forward when the competition is locked in a futile fight? The question is, who stands to gain the most from such a move.
Tesla is willing give away some of its IP in order for other makers to charge at its Superchargers. It also hopes to by-pass the CHAdeMO and SAE fight, as well as the upcoming Chinese charging network with its own protocol. Tesla might charge a modest fee return, but that is nothing for such a juggernaut. Musk sees, as most of us do, that the automobile industry is in disarray and still grapples over how to create a thriving business model with electric vehicles (EV). If the industry, used to making internal combustion engines (ICE), it doesn’t know what to do with an electric motor and batteries, even less with a charging network. Luckily, Tesla took a lead early there.
So far Nissan is one of the only carmaker to grow the network with CHAdeMO chargers at its dealerships. Then, there is the SAE Combo standard trying to muscle its way in, fighting against CHAdeMO. The absurd fight ended last year with a standstill, forcing once again consumers to choose one or the other, losing in the short run. So what can Tesla Motors do with its own Supercharger system watching another Chinese charger standard take advantage of the confusion? Open its doors and leapfrog the infighting competitors. It works to everyone’s advantage and the company comes out on top. Simple, brilliant, and so Tesla.
Standards come in two ways, officially, or de facto. For those of you seasoned enough to remember, we once had a choice between a good quality Betamax, and a rather inferior VHS system. VHS became a de facto standard after a deep pocket campaigns turned a generation on to it. The same almost happened to DVD recording, and there are plenty of other examples still. Tesla opening its IP doors to the competition is a bold move above the fray, and one we can be happy about since it will benefit the entire EV community. Hopefully, it will also stop this infighting caveman mentality companies have, pushing their visions on consumers. When you get down to it, what’s important is to have a nationwide charging network that works for as many cars as possible, regardless of makers, backers or other financial interests. Tesla does it again.
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
