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Faraday Future’s fate questioned after Chinese backer sells Silicon Valley land amid cash crunch
One of Faraday Future’s financial backers, LeEco, the electric vehicle company run by Chinese billionaire Jia Yueting, is selling 49-acre plot of land located in Silicon Valley after purchasing it from Yahoo for $250 million less than a year ago. The parcel is reportedly being sold to Chinese developer Genzon Group for $260 million amid a “big company disease” and cash crunch, according to Reuters.
News of the pending sale is a far departure from the initial plans Jia had for the parcel of land last year. Speaking at a gala event at the Palace of Fine Arts in San Francisco, Jia told his audience that the land in Silicon Valley would be used to build the US headquarters for LeEco. “This property will be an EcoCity that houses 12,000 employees,” he claimed at the time.
Jia made his money by building Leshi Internet Information & Technology in 2004. Known as the “Netflix of China,” it was the first company in China to stream television content directly to subscribers. It quickly expanded to producing and selling a wide range of electronic devices from smartphones to televisions.
Things went well for Jia until he became obsessed with the idea of building electric cars. Not only is Jia the head and principal financial backer of LeEco, a Chinese electric car company, he is also the force behind Faraday Future, and an investor in Lucid Motors, formerly known as Atieva. In China, LeEco has introduced its LeSee electric sedan, which is designed to compete with the Tesla Model S.
But the various car companies have faced significant headwinds of late. Work on the Faraday Future factory in North Las Vegas was halted last fall after money owed to the primary contractor went unpaid for several months. Dan Schwarz, the treasurer of the state of Nevada, made a trip to China to investigate Jia’s finances and told the press upon his return that the company didn’t have any money.
Since then, Faraday Future’s plans for a 3-million-square-foot factory have been scaled back to a 650,000 square foot facility which the company says will be completed this fall. The company still claims that production will start “sometime in 2018.”
Shortly after his appearance in California, Jia publicly confessed in a letter to shareholders that the finances of his companies were out of control. The letter said, “No company has had such an experience, a simultaneous time in ice and fire,” he said. “We blindly sped ahead, and our cash demand ballooned. We got over-extended in our global strategy. At the same time, our capital and resources were in fact limited,”
In January, Jia secured an additional $2.2 billion from property developer Sunac China Holdings. But that money is not to be used for Jia’s car making endeavors and is intended instead to keep his core entertainment business units alive and functioning says Reuters.
The number of LeEco employees in the US has been slashed from 1,000 a year ago to about 500 or fewer today. LeEco declined to confirm how many people are still on the payroll.
The sale of the parcel of land in Silicon Valley will help put some cash back into the company as it looks to ride out the cash crunch. Whether any or all of its electric car manufacturing plans will ever come to fruition is unknown. Shares of Jia’s core business, Leshi Internet Information & Technology Corp Beijing, have declined in value by 25% since the first of the year.
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.