Toyota has sent out a letter to bZ4X owners updating them about the company’s ongoing attempts to address a safety recall on the all-electric crossover. Toyota has offered a number of options for its EV owners, even noting that it would repurchase bZ4X units if needed.
Last June, Toyota initiated a recall on the bZ4X, its first mass-produced all-electric SUV that’s designed to take on market leaders like the Tesla Model Y. According to the company, the safety recall is due to the bZ4X’s wheels, which may fall off due to an issue with the bolts that connect them to the vehicle.
Toyota highlighted that it is still in the middle of finding a remedy for its bZ4X’s safety issues, but owners could rest assured that the company would do what it can to address the vehicle’s faults. The Japanese automaker also noted that bZ4X owners should not drive their electric cars until a fix is available.
As could be seen in Toyota’s letter, which was shared on social media, the automaker is giving owners a number of options about what they can do while their bZ4x’s safety recall is still being addressed. Following is the text from the letter, as shared by u/fc0romero in the r/BZ4X subreddit.
We recently advised you of a safety recall that involves your 2023 Toyota bZ4X and continue to ask that you not allow the vehicle to be driven until a remedy is available. We are working diligently on a remedy and will notify you in the future when it becomes available.
At Toyota, your safety is a top priority. If you have not already done so, please contact any authorized Toyota Dealer and they will arrange to pick up and store your vehicle, at no cost, until the remedy is available. We will also provide a loaner vehicle at no cost to you.
We place a high value on the guest experience and recognize the inconvenience presented by this situation. Therefore, Toyota is offering affected owners the following until the remedy is available:
- Continue to provide a loaner vehicle, and store your vehicle, at no cost
- Reimburse your fueling costs incurred while operating the provided loaner vehicle
- Provide you with a total credit of $5,000 toward payments of your loan/lease or purchase price if the vehicle was paid in full
- Provide additional time for complimentary charging at all EVgo-owned and operated public stations nationwide through December 31, 2024
- Provide an extension to your vehicle’s New Vehicle Limited Warranty based on the period of time that your vehicle is not able to be driven due to the recall (from the recall announcement date of June 23, 22 through a date in the future when the remedy is announced)
Alternatively, if you do not wish to proceed as described above, Toyota will offer to repurchase your vehicle. The terms of the repurchase may vary, depending on your state and particular circumstances.
A bZ4X specialist will reach out to you in the coming days to discuss these options. Should you wish to speak with someone sooner, please contact us…
We sincerely regret any inconvenience this condition may have caused you.
-Toyota Motor Sales U.S.A.
Toyota’s letter has received varying responses from owners. In the r/bZ4X subreddit, a number of owners noted that they would be getting the $5,000 credit offered by the Japanese automaker. After all, if Toyota cannot address the all-electric vehicle’s issues, the company’s offer to repurchase bZ4X units is still a great option.

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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.