News
Tesla’s Fremont Factory was the most productive auto factory in the U.S. in 2021
New data from Bloomberg states that Tesla’s Fremont Factory in Northern California was the most-productive automotive plant in the U.S., outpacing 70 other plants in the country.
Last year, Tesla’s Fremont Factory averaged a weekly production pace of 8,550 vehicles. That’s about 1,221 cars per day, 51 cars per hour, or about .85 cars per minute. However you break it down, the Fremont Factory’s manufacturing prowess showed its domination in 2021, as it was the most productive automotive factory in the United States in 2021, outpacing Toyota, BMW, and Ford factories that have long created the most robust figures of car production in previous decades.
For comparison, Toyota’s plant in Georgetown, Kentucky built 8,427 cars per week, BMW’s facility in South Carolina managed 8,343 units per week, and Ford’s Dearborn, Michigan hub managed just 5,564 vehicles weekly. All figures were provided by Bloomberg.
The history of the Fremont Factory tells the story of long-standing automotive companies that simply vacated the factory to make way for the next big thing. In the 1960s, GM operated the plant. Then in 1984, Toyota’s New United Motor Manufacturing, Inc partnered with GM to run the plant. Ultimately, GM’s bankruptcy in 2009 left the 5.3 million square foot plant vacant. Tesla took ownership in 2010, renovated several portions of the factory, expanded production availability (a project that continues to this day), and currently has more than 10,000 active employees at the plant. The Model S, Model X, Model 3, and Model Y are all produced at the site.
Teslas charging in front of the Fremont Factory (Credit: @TacosandTeslas/Twitter)
2020 and 2021 were arguably the darkest years of the global automotive market in recent memory. Only rivaled by perhaps the 2008 recession, which brought GM and other automakers to their knees, the 2020 COVID-19 pandemic was a dark spot in an emerging sector.
The rebirth of American automotive manufacturing had taken a turn as Tesla had basically influenced an entire sector to rethink its strategies. Instead of continuing to develop powertrains powered from gas or petrol, legacy automakers have transitioned to EVs. The industry’s entire move could basically be hinged on the fact that Tesla has switched a massive amount of drivers to electric cars, and the production figures are proving that.
While Tesla has only one operational U.S. plant as Gigafactory Texas nears production soon, its North American customer base has been accepting cars from the Northern California plant. However, this one plant has managed to avoid heavy delivery delays due to bottlenecks in the supply chain and parts shortages and become the most proactive American automotive manufacturing facility in 2021.
Most impressively, Tesla has continued to expand its yearly production capacity as a company. Last year, it was mostly due to Gigafactory Shanghai’s massive production figures, which accounted for a majority of vehicle deliveries as it is Tesla’s main export hub to the extremely competitive European market. Tesla managed 936,172 deliveries in 2021, a 47 percent increase from a year prior.
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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.”
News
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
