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Tesla China VP breaks down Supercharging vs. Battery Swap debate
Tesla China’s Vice President of External Affairs Grace Tao broke down the advantages of Supercharging over battery swapping. Tao showed why Tesla had chosen a Supercharging network instead of battery swapping, which the automaker attempted several years ago.
“Recently, many friends are paying attention to whether Tesla will start the battery swap business. Thank you very much for your concern. As early as 2013, Tesla tried battery swap,” Tao said. “The battery swap mode is currently a good recharge mode in some specific areas such as taxis or buses, but we have always believed that the charging mode is the best for large-scale civilian electric vehicles. The way to supplement energy.”
Tao’s response could be coming from a report from Tianyancha from late February, where the media outlet reported that Tesla was adding a “new energy vehicle battery swap facility” in Shanghai, where its Chinese production plant is located. Tesla reps told the Beijing Business Daily (via BBT News) that the company would not be performing battery swaps. It would continue to use its Supercharging network across all of its vehicles for recharging. “Tesla will not change the battery,” the rep said, after indicating that swapping isn’t suitable for widespread use, nor was it effective as it was “riddled with problems,” according to Shine.
Tesla denies reports that it will use battery swapping techniques
Tao’s posting seems to portray the same message, showing that Tesla’s strategy for charging is to appeal to widespread use, for which Supercharging is more ideal. She used an analogy with Smartphones to further portray the advantage.
Tao added (via Weibo):
“You might recall that ten years ago, many electronic products we used removable batteries, and a mobile phone required two batteries. Nowadays, most electronic products such as mobile phones and computers have become integrated built-in batteries, and the way of supplementing energy has also changed from replacing batteries to high-power fast charging…Constantly increasing the layout of charging piles and improving charging efficiency at the same time, we think this is the best solution to users’ anxiety about charging…The national standard charging interface is consistent, which will greatly improve the efficiency of charging. Tesla’s latest V3 overcharge technology can replenish up to 250 kilometers of battery life within 15 minutes, and the time for a cup of coffee has basically met the electricity demand of a week in the city for commuting.”
Tesla last entertained the idea of battery swaps in 2015. A 2013 presentation by Elon Musk showed that battery swaps would be an ideal way to provide drivers with a full charge in virtually no time. The presentation by Musk showed a battery swap for a Tesla Model S would take less time than filling up an Audi A8 at a gas station, as the swap took only three minutes. Swapping, however, would require owners to pay fees, while Supercharging remained free.
The Harris Ranch Battery Swap Station in Coalinga, California, was Tesla’s first attempt at battery swaps. Despite the high demand for the service as reservations were highly concentrated, it also ended up being the only attempt thus far, as the station shut down in 2015. “Presently, the Battery Swap Program is not accepting any new requests for appointments,” Tesla said.
Tesla’s Supercharging initiative has accumulated 20,000 active Superchargers globally, with a brand new production facility recently opening up in China to handle growing demand in the region.
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
