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Tesla’s built-in dashcam helps identify suspect in road rage incident
Tesla’s built-in dashcam recently helped the case of an electric car owner who was assaulted following a road rage incident at Meridian, Idaho earlier this week. The incident, which started from a simple misunderstanding on the road, resulted in the electric car owner receiving multiple blows to the head and the suspect being booked on a misdemeanor battery charge.
Len Anderson was driving home on his Tesla last Tuesday when he passed a white Hyundai sedan that was taking a left turn off E. Presidential Drive in Meridian. While the Hyundai’s driver used his blinkers to indicate that he was turning left, Anderson figured that he had right of way. As such, he opted to accelerate. This decision, as well as the speed of his car due to its instant torque, did not sit well with the Hyundai’s driver.
In a statement to local media outlet Idaho News, Anderson stated that the Hyundai driver eventually followed him home. At one point, the driver of the white sedan rolled down his window and reportedly yelled at the electric car owner.
“This guy thinks (he’s) cool zipping down the road cutting off people with his Tesla. How dare you drive like that when we have a baby in our car!” the driver said, according to Anderson.
Things only escalated from there. Anderson noted that as he was heading to his mailbox to pick up his mail, the Hyundai’s driver got out of his car and started taking footage of his house and his Tesla. The white sedan’s driver then reportedly closed in, resulting in Anderson yelling at the man to step back. With the driver just inches from his face, Anderson pushed the man away, resulting in the driver’s phone getting knocked out of his hand.
It did not take long before Anderson was knocked to the ground by a punch from the Hyundai’s driver. The Tesla owner noted that the man hit him around 20 times in the head as he lay in a fetal position. Fortunately, Anderson was able to get a photo of the man before he was assaulted, which was later shared online by the Meridian Police Department. The suspect, who was identified as 36-year-old Walter Gage Anderson turned himself in to his probation and parole officer after. Footage from the electric car’s built-in dashcam provided further evidence in the incident.
Reviewing the footage from the built-in dashcam of Anderson’s Tesla, a representative of Meridian PD noted that the electric car owner did not violate traffic rules when he crossed the intersection.
“He was following the correct traffic procedures. I think he may have sped up a little bit at the intersection, but he definitely had the right of way. And it’s really not even about the right of way rule. It really is about common courtesy. You don’t know who you’re dealing with in that other vehicle. No reason to try to get into a physical confrontation with anybody,” the Meridian PD representative said in a statement to KTVB-TV.
Tesla’s built-in dashcam feature was rolled out by the electric car maker to aid drivers in situations similar to those faced by Anderson. By providing footage of what transpired on the road, Tesla owners would be able to back up their side of the story in case they find themselves in an untoward situation. Such an event happened last October, when a Tesla Model 3 was involved in a nighttime accident with a Honda Accord that did not have its lights on. When authorities arrived, the Model 3 owner and the driver of the Accord provided different accounts of the incident. Fortunately, video from the electric car’s built-in dashcam quickly proved the Tesla owner’s point.
Watch a news segment featuring Anderson’s footage from his Tesla’s built-in dashcam 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.”
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
