News
Chevrolet Bolt EV owners may have trouble with parking after battery recalls
Chevrolet Bolt EVs have been in the news quite frequently as of late due to their extensive recall from General Motors due to battery cell malfunctions that could cause fires. However, a parking lot is taking precautions to an extreme measure by banning Bolt EVs from their facility due to the recalls, which have been heavily covered in the past few weeks.
The Bolt EV has had recalls three times over the past year due to battery issues. The first was in November 2020, with the second and third coming within the last several months after battery malfunctions in cells provided by LG Energy Solutions could have “the simultaneous presence of two rare manufacturing defects in the same battery cell.” GM’s second recall covered 69,000 vehicles total. Still, the company then decided to extend the recall by spending an additional billion dollars on other vehicles that were not listed in the initial recalls “out of an abundance of caution.” So far, GM has spent $1.8 billion on the recall since Q2.
How the Chevy Bolt EV became GM’s 1.8 billion dollar problem
GM encouraged owners to limit their state of charge to 90% and avoid depleting their battery below 70 miles of remaining range when possible. Additionally, owners were encouraged to park their vehicles outside after charging and not charge their cars overnight as a precaution.
Because of the mass amount of media attention the Bolt EV recall has received, some entities are now banning the vehicle’s presence on its premises. A parking lot in San Francisco is one example.
A sign was seen at the lot by Reddit user u/scarls13, who took a picture of the warning that read:
“For customer safety:
CHEVROLET BOLT EVs are STRICTLY PROHIBITED from parking at this facility.
Thank you for your compliance!”
The owner of the lot likely was taking a necessary and understandable precaution, but this sort of message could be detrimental to the development of electric vehicles. Just as media coverage fixates on instances of Tesla Autopilot irresponsibilities, EV fires, and commonly spread misinformation regarding EVs in general, the Bolt EV story has become a mainstay of fear for those who are still skeptical of the EV movement. It is important to remember that GM, Chevrolet, and LG Energy Solutions have taken drastic steps to fix the issue, even recalling non-effected vehicles to have battery packs replaced to prevent further events of combustion.
Statistically, EV fires are not a common occurrence. FEMA stated that 171,500 vehicle fires occurred annually on average between 2014 and 2016. Only 10 of these fires were Bolts, and ICE vehicles made up a vast majority of the vehicles that caught fire. The 269 million vehicles on the road in the U.S. in 2016 and one in 1,569 fossil fuel-powered vehicles caught fire during that time. Furthermore, there were 1.2 million EVs in China in 2018, but one in 30,000 vehicles caught fire. This effectively means that an ICE vehicle was twenty-times more likely to catch fire than an EV, according to Forbes.
Of course, it is understandable to be preventative and safe, but the Bolt EV fires are still a statistically rare occurrence. GM admitting its wrongs and pushing toward full replacements of battery cells to prevent future instances of fires should begin to take control of signs like the ones above, but lot owners are within their rights to refuse service to anyone for any reason.
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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
