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BMW, Nissan and Tesla to Develop Universal Charging Network?
Now that Tesla has tentatively opened some of its intellectual properties (IP) to the competition and that we have some insight as to its motives, who else wants to benefit from this strategy?
Tesla welcomes the competition
Welcoming the competition might seem like a bold and dramatic move, but it is one Elon Musk has carefully planned. In the past articles, we visited what it means to open some of the company’s IP to the competition, and asked what does Tesla Motors mean by “good faith” use. We also saw this is a strategic move to once and for all cement Tesla’s role at the core of the electric vehicle (EV) industry. It also gives it a chance for its charging protocol to become a de facto standard.
BMW and Nissan
BMW has demonstrated a willingness to step into the 22nd Century, leaping over its local German competition. It has dabbled with the idea of selling directly, but is careful not to rock the boat. The matter of the fact is that BMW needs other carmakers more than Tesla does in terms of manufacturing. Case in point, its partnership with Toyota, which gives it more production capacity. BMW also gains much of a strategic alliance with Tesla.
Nissan is the next logical choice. Already at the forefront of EVs with its best selling Nissan LEAF, which stands for Leading, Environmentally friendly, Affordable, Family car, it built and sold more electric cars than any other company in history.
Tesla already announced last week that it had a meeting with BMW, who showed great interest. BMW is working hard to make its “ultimate driving” electric machines not only fun to drive, but feasible. And serious, BMW is. BMW bought its own carbon fiber manufacturing company and developed a sophisticated resign carbon fiber tub for its electric i3 and the stunning plug-in hybrid (PHEV) i8. I was fortunate to interview Benoit Jacobs, the head designer of the iDrive team, who revealed the gist was to have static air flow control with no electronics. Every curve and line are functional on both the i8 and i3, from the static upper windshield spoiler to the dramatic rear air diffusers. Benoit told me he wanted static aerodynamics, not electronic automation. One glance at the i8 and we can say they achieved something the Germans are not always known for, dramatic beauty. Now the real work rests on batteries and electronics, something Tesla does brilliantly.
The only problem BMW has, as well as an other recent EV I tested on CarNewsCafe is the (in)famous Combined Charging Standard (CCS) plug. CCS stations are far and few between compared to more readily available CHAdeMO, with more than 1,000 globally and the Superchargers, 100 globally. Nissan uses CHAdeMO and enjoys many more locations than CCS, but it, too, has never developed a charging network.
How come electric carmakers don’t build charging networks?
One of the many question we, journalists, ask EV makers is why they haven’t actively built a charging infrastructure like Tesla? There are many reasons, most about keeping their core competencies and ROI balanced for survival. Both BMW and Nissan would benefit tapping into Tesla’s technology and hopefully shift the power away from the idiotic charging standard war dividing manufacturers, leaving consumers to pay the price once more. If BMW and Nissan adopt Tesla’s charging protocol, the industry inexorably tilts toward a unified charging standard, leaving the CHAdeMO versus CCS battle a vestige of yesterday’s knuckle-dragging battle techniques behind. Did I make that last point strongly enough? Now imagine how the rest of carmakers and the charging industry feels.
Image source: Autoguide
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
