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Model X Production Delayed Until 2014

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By BRADLEY BERMAN
The Tesla Model X at the 2013 Detroit auto show.Paul Sancya/Associated Press The Tesla Model X at the 2013 Detroit auto show.

Tesla Motors has confirmed that production of its all-wheel-drive Model X electric crossover will begin in late 2014, a year later than the company had originally announced. The revised timing was described in the company’s Form 10-K filed with the Securities and Exchange Commission last Thursday.

When Tesla first revealed the Model X in February 2012, the company said production would begin at the end of 2013, with deliveries following in 2014. Nearly a year later, at the Detroit auto show last January, Elon Musk, Tesla’s chief executive, made the first public statement about the shift in the schedule. Mr. Musk said production of the Model X would begin in the second half of 2014, according to Reuters.

While Tesla has been saying since the Detroit auto show in January that Model X production would begin in 2014, “our recent 10-K was the first written verification of that,” Shanna Hendricks, a Tesla spokeswoman, said in an e-mail.

“I almost have trouble calling this a delay in Model X, because that makes it sound like we’ve run into problems with Model X, and it’s taking longer than we thought, and it’s out of our control,” Ms. Hendricks wrote. “When, really, we’re consciously pushing back timing to allow ourselves to focus on its production and product enhancements in Model S.”

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While Tesla did encounter production delays and problems with its first car, the Roadster, deliveries of the first Tesla Model S sedans were made in early June 2012, a few weeks earlier than originally projected. But in the first few months of Model S production, the company fell short of its own targets, delivering only about 250 cars. By the end of last year, the pace had picked up.

Converting customers with reservations into actual deliveries is critical for the company’s financial health. Tesla reported a fourth-quarter net loss of $81.5 million but says it expects to be profitable sometime in 2013. “We are very focused on achieving profitability and maintaining that profitability,” Ms. Hendricks said.

Tesla has not started putting alpha or beta versions of the Model X on the road for testing, Ms. Hendricks said. Tesla is “still finalizing the design prototype that has been on display at both Detroit and Geneva motor shows,” she wrote. The crossover’s most prominent design feature is the use of “falcon doors,” which are hinged at the top and rise like wings.

The Model X is built on the same platform as the Model S sedan. Tesla’s 10-K document provides this description of the Model X: “This unique vehicle has been designed to fill the niche between the roominess of a minivan and the style of an S.U.V., while having high-performance features such as a dual-motor all-wheel-drive system.”

Reservations for the standard Model X require a $5,000 deposit, while the Signature version requires a $40,000 deposit.

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Prices for the Model X have not been announced. Tesla’s 10-K document states: “We anticipate that we will make Model X available with 60 kWh and 85 kWh battery pack options, with pricing of each version similar to those of a comparably equipped Model S.” Prices for the Model S sedan include a standard 60-kilowatt-hour version for $69,900 and an 85-kilowatt-hour model for $79,900. Many buyers are eligible for a $7,500 federal tax credit.

The company continues to state Model X production targets of 10,000 to 15,000 cars a year. There is still some wiggle room on the actual start of production with Mr. Musk stating “the second half of 2014” at the Detroit auto show while the S.E.C. documents state “late 2014.” Tesla’s Web site simply says, “Deliveries begin 2014.”

Original article found at NY Times

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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