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Faraday Future pushes another FF 91 teaser amid financial backer troubles
Amidst news of troubles with a major financial backer, Faraday Future has published another teaser video for its first vehicle, the FF 91 all-electric SUV. Seemingly addressing its current challenges, the electric car startup pledged that it would always be moving forward, one step at a time, as the company pushes to bring its first vehicle to the market.
With ongoing issues with a key investor, Faraday Future is reportedly fighting to stay afloat once more. According to recent reports, Faraday Future is implementing pay cuts across the company, with some employees receiving a 20% reduction to their hourly wages. Several members of Faraday Future’s management team have committed to take pay cuts that are larger than 20% as well, and CEO Jia Yueting has reportedly pledged to decrease his salary to just $1.
The pay cuts come as Faraday Future’s CEO battles with the company’s main investor, Evergrande Health, a subsidiary of property developer China Evergrande Group. Evergrande swooped in late last year with a $2 billion pledge to save the electric car startup and help bring the FF 91 luxury SUV to market.
An email from Faraday Future’s management, which was retrieved by The Verge, notes that the pay cuts are temporary, and that salaries will be restored once funding is secured. That said, the company had already begun laying off some of its employees to help keep Faraday Future afloat nonetheless.
“The company is committed to monitoring its finances and will reevaluate this decision with the goal of restoring salaries once funding is available,” the email reportedly read.
When Evergrande stepped in to save the company last year with its $2 billion commitment, the investor got a 45% stake in the company. Evergrande gave the first installment of $800 million at the beginning of 2018, but by the middle of the year, the entirety of the funds had already been spent. The Faraday Future CEO later attempted to get the board of directors to approve an advance of $700 million more, and when Evergrande refused, Jia took the case to HK Arbitration Center. In a blog post earlier this month, Faraday Future claimed that Evergrande failed to make any payments beyond the original $800 million.
“Contrary to what Evergrande has told the press and its shareholders, neither FF’s CEO YT Jia nor anyone else “manipulated” the board of Evergrande in reaching these agreements. In agreeing to bring a portion of its payments forward to 2018, Evergrande had a full understanding of why the funds were needed, and when they were needed, in order to achieve production and delivery of FF 91 in 2019.
“But contrary to what has been reported, Evergrande failed to make any of the promised additional payments beyond the original $800m investment, despite FF and its CEO complying with their obligations and meeting all required conditions for funding under the July 2018 agreement. Instead, Evergrande held the payments back to try to gain control and ownership over FF China and all of FF’s IP. At the same time, Evergrande is preventing FF from accepting any immediate financing from other sources.”
Faraday Future has made some progress over the years. This past August, the electric car startup was able to build a pre-production version of the FF 91, its first luxury SUV. The FF 91 is a luxury SUV with a 0-60 mph time of 2.4 seconds, a 130 kWh battery pack, and an estimated range of 289 miles per charge. The vehicle also includes LiDAR for self-driving capabilities and four-wheel steering for impressive maneuverability.
Watch Faraday Future’s latest FF 91 teaser in the video below.
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
