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Tesla may not sell Giga Shanghai-produced cars in India: Road Transport Minister
Indian Road Transport Minister Nitin Gadkari nailed the point that Tesla will not be able to export Giga Shanghai Model 3 and Model Y vehicles from China to India. It is the most recent development in Tesla’s road to sell and manufacture its vehicles in India, a process that has taken over four years to configure.
Gadkari has been in contact with Tesla officials for several days, he says. However, he has repeatedly told the company’s executives that cars sold in the Indian market must be manufactured there, and the government will not accept any imports from other countries. Tesla has established its Chinese production facility, known as Giga Shanghai, as somewhat of an export hub in 2021. It all began in January when the automaker went back on its word that it would not ship China-built cars to Europe to handle demand spikes.
The company sent 7,000 Model 3 units to other countries from China within the first two weeks of the New Year. Then, the Model Y started being shipped to Europe from Giga Shanghai just last month, as Tesla’s European Gigafactory, known as Giga Berlin, has not yet been completed. However, European demand for the Model Y convinced the automaker to abandon its non-export stance, and Shanghai has supported both the Chinese market and some parts of the European market for months.
Most importantly, Gadkari is in no way trying to make things more difficult for Tesla to enter the market. Instead, he is making it a fair playing field for both the automaker and the country, which ultimately both need to benefit from the potential partnership. Gadkari told Tesla that any of the company’s needs would be taken care of by the Indian Government, the automaker just needs to manufacture its vehicles domestically.
“I have told Tesla that don’t sell electric cars in India which your company has manufactured in China. You should manufacture electric cars in India, and also export cars from India,” Gadkari told Hindu Stan Times. “Whatever support you (Tesla) want, will be provided by our government.” Gadkari also stated that there are ongoing discussions concerning Tesla’s requested tax rollbacks on imports.
Since India and Tesla have started to more seriously consider the advantages of building the world’s best electric cars in the country, there has been a hypothetical game of “Chicken” going on. Tesla was granted business licenses to sell and build electric cars in the region in the early parts of 2021, and it seemed that the expansive team of Tesla executives the company put together for India all but solidified that Elon Musk’s EV company would be present in the country in the coming months. However, Tesla wished to test demand for its cars through imports, a strategy that India’s politicians were not keen on, especially considering they are unwilling to move away from business practices that would favor manufacturing in other countries.
Tesla wants India’s government to consider lowering import taxes
Musk was not in favor of taking such a massive risk by building a production facility in India without knowing whether its vehicles would provide growth opportunities for the company. Tesla is riding a streak of eight consecutive profitable quarters, with its ninth expected to take place after the conclusion of Q3 2021. Financials, growth, and profitability are currently in the company’s best interest, of course. However, building a possibly $1 billion production plant in a market that it has never tested would essentially be a huge risk that could end up as a catastrophic failure.
It is only a safe business practice and strategy for Tesla to save potentially billions of dollars on a project that may not be successful. However, it is an advantage of Tesla’s to have such strong support from India’s government, especially as the company begins to expand into markets that are not necessarily EV hotspots.
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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
