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Tesla China gets golden opportunity to break new ground with Model 3 Long Range
Just recently, Tesla updated its Model 3 configurator in China to include the locally-produced Long Range RWD and Dual Motor Performance. With this, Tesla has begun an initiative to transition its entire Model 3 sales in China to vehicles that are produced locally. Such a strategy could pay off in spades for the electric car maker, especially considering an ongoing push from the Chinese government to boost the country’s automotive market.
China’s auto market has taken a beating this year, and the lockdowns due to the coronavirus outbreak did not help one bit. As noted by CNN Business in a recent report, China would have sold over 6 million cars by now on an average year, but so far, the country has only sold 3.7 million this 2020. This drop was highlighted by the China Association of Automobile Manufacturers (CAAM), which stated that Q1 auto sales have declined 42% year-over-year.
A huge culprit for this, of course, is the coronavirus outbreak. The country saw a massive 79% drop in February, primarily because of multiple cities going on mandatory lockdowns due to the pandemic. The decline in the local automotive sector was felt by China as a whole, as the industry plays a crucial role in the country’s economy. Over 40 million people rely on the car market for jobs, and the automotive segment generates about 10% of China’s manufacturing output.
Amidst these challenges, the CAAM emphasized in a statement on Friday that while automakers restart production, the industry’s “primary issue” and “urgent need” is to boost raw vehicle sales. The country aims to accomplish this in several ways. Beijing, for example, announced last month that it would extend subsidies and tax breaks for new energy vehicles. At least a dozen provinces have also ramped up their cash subsidies for auto purchases, with some offering as much as $1,400 per car.
If Tesla can take advantage of this momentum, the electric car maker’s China division would have the potential to significantly soften the blow that the company will be experiencing this year due to the coronavirus pandemic. Tesla’s American plants like the Fremont factory and Gigafactory New York have been temporarily shut down, after all, but Gigafactory Shanghai, which produces the Made-in-China Model 3, is already back to full operations. Even more impressive is the fact that Giga Shanghai is actually hitting new milestones, with the facility recently reaching a production rate of 3,000 vehicles per week.
China’s auto market is a highly competitive arena, and only carmakers that are aggressive enough thrive. Fortunately, Tesla China seems to be up to the task, pricing the new Model 3 Long Range RWD variant at about $48,000. The Model 3 Standard Range Plus has also made quite an impact since starting consumer deliveries earlier this year. Tesla China’s sales rose to 10,160 cars in March thanks to the locally-made Model 3 SR Plus, up from the 3,900 units that were sold in February.
While the year will be challenging for China’s auto market, it may be far too early to discount the country’s chances this year just yet. As noted by the China Passenger Car Association (CPCA), the need to drive children to and from school is a significant motivator for consumers to purchase cars. Fortunately, schools are expected to reopen in the country this spring and summer. Apart from this, CPCA Secretary General Cui Dongshu also mentioned that the country’s Labor Day holiday in May will last longer than it has been in over a decade. This presents an opportunity for more car sales, as potential buyers may have a desire to travel over the upcoming long holiday. Both of these opportunities are ripe for the picking for Tesla, provided that the electric car maker is up for the challenge.
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
