Connect with us

News

Finally, a Tesla owner on Autopilot admits fault in crash

Published

on

Wrecked Tesla in Texas

The owner of a Tesla Model S that crashed on August 7 while operating in Autopilot mode says he will not sue Tesla Motors. Mark Molthan says he was driving along highway 175 near rural Kaufman, Texas when his Tesla in Autopilot swerved into a cable guardrail resulting in significant damage to the car. Luckily Molthan was not hurt and escaped with only a bloody nose though he thinks the vehicle might be a total loss.

Unlike other Tesla owners who blame their vehicle for causing the accident, Molthan admits he wasn’t paying close attention to his driving at the time. He tells Bloomberg that he reached into the glove compartment to get a cloth and was busy cleaning the dashboard just prior to the first collision. Molthan claimed that he didn’t think much of taking his eyes off the road since his Model S had negotiated that section of road multiple times before on Autopilot without incident.

“I used Autopilot all the time on that stretch of the highway,” Molthan, 44, said in a phone interview. “But now I feel like this is extremely dangerous. It gives you a false sense of security. I’m not ready to be a test pilot. It missed the curve and drove straight into the guardrail. The car didn’t stop — it actually continued to accelerate after the first impact into the guardrail.” Molthan also owns a Model X but says he has lost confidence in Autopilot and will not replace his damaged Model S with another one.

Molthan’s insurance company is none too happy about being on the hook for the price of a new Model S. Lawyers for his auto insurance carrier, a unit of Chubb Ltd., say they have sent Tesla Motors a letter requesting a joint inspection of the vehicle. Tesla said it’s looking into the Texas crash. As usual, it stresses that Autopilot is only an assist feature. Drivers still need to keep their hands on the wheel while using Autopilot and must be prepared to take over direct control of the vehicle at any time.

The situation presents what lawyers like to call a case of first impression. So far as we know, Tesla has not been required to defend any law suits brought as a result of collisions resulting from the use of Autopilot. Any such case would only be a binding precedent in Texas where the accident happened. But other courts could still use that decision as a guide when similar claims are brought in their own states.

Advertisement
-->

Tesla’s Autopilot has many supporters who complain there is no way to demonstrate to the public and to regulators how many potentially life threatening accidents are avoided by the technology. Diana Becker of Los Angeles told Bloomberg in a phone interview, “I’m disgusted that the only time Autopilot is in the news is when there are crashes. Nobody hears about the accidents that don’t happen.”

Becker says she recently completed a 27 day road trip throughout the West with her two children. She credits the Autopilot in her Model X with saving her family from colliding with a driver who crossed suddenly in front of them. “I drove 400 miles a day on our road trip, and Autopilot was my second pair of eyes,” said Becker. “I depend on it.”

In July, a Missouri man let his Tesla drive him to a hospital after suffering a pulmonary embolism while driving home from work. Others have commented that going on a road trip without Autopilot is akin to torture. None of which will have any bearing on how the courts resolve future claims involving damages to self driving cars.

Source: Bloomberg  Photo credit: Mark Molthan

"I write about technology and the coming zero emissions revolution."

Advertisement
Comments

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.” 

Published

on

Credit: @BLKMDL3/X

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. 

Advertisement
-->

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.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Published

on

Credit: Tesla China

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

Advertisement
-->

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.

Continue Reading