News
Volvo Engineer Calls Tesla Autopilot a “Wannabe”
Volvo engineer Trent Victor says the Tesla Autopilot system is a “wannabe” because it cannot avoid a dangerous driving situation without assistance from the driver.
Trent Victor, senior technical leader of crash avoidance at Volvo, calls the Tesla Autopilot system “an unsupervised wannabe.” At best, he thinks it is a semi-autonomous system masquerading as an autonomous one. “It gives you the impression that it’s doing more than it is.” When it comes to Autopilot, color Trent Victor unimpressed.
Why is he so harsh in his judgment? Because he believes Autopilot conveys the impression that the driver is free to check e-mail or watch a video while the car drives itself. Victor says Volvo believes Level 3 autonomy, in which a driver needs to be ready to take over at a moment’s notice, is an unsafe solution. “Our position on autonomous driving is to keep it quite different so you know when you’re in semi-autonomous and know when you’re in unsupervised autonomous,” he says.
Tesla’s Autopilot semi-autonomous technology gives drivers the ability to take their hands off the wheel while the car effectively drives itself on the highway. Although it is the most advanced semi-autonomous system available in an automobile today, that doesn’t mean it’s a good implementation of technology, according to Victor.
Volvo plans to unveil its Drive Me autonomous car in 2017. The pilot program will feature a Level 4 autonomous car capable of driving like a Tesla on Autopilot, but it will also be able to handle any situation that arises without any human intervention. The driver won’t need to be involved at all. If something goes wrong, the car will be able to stop itself safely and park on the side of the road.
“In our concept, if you don’t take over, if you have fallen asleep or are watching a film, then we will take responsibility still,” says Victor. “We won’t just turn [autonomous mode] off. We take responsibility and we’ll be stopping the vehicle if you don’t take over.”
Victor says that Autopilot as presently configured will simply disengage if a dangerous situation is imminent. The assumption is that the driver will then resume control of the car. But if the driver is distracted, an accident can ensue before the driver realizes that human control is required.
“That’s a really important step in terms of safety, to make people understand that it’s only an option for them take over,” says Victor. Volvo is “taking responsibility both for crash events, and we’re also programming it for extreme events like people walking in the road even where they’re not supposed to be. There’s a massive amount of work put into making it handle a crash or conflict situations.”
Ultimately, the development of self driving vehicles will be as much about government regulation as it is about differences in corporate philosophy. The National Highway Transportation Safety Administration is pondering what those regulations should be. In fact, it is soliciting public comments at a hearing in Silicon Valley today.
Ford, Volvo, Uber, Lyft, and Google have formed a new consortium called The Self Driving Coalition for Safer Streets. It will lobby NHTSA for regulations its members believe will best serve their business interests. It is interesting that Tesla is not part of the coalition. No doubt, Tesla is pursuing its own lobbying campaign.
Although details are sketchy at the moment, there is little doubt that Tesla expects the self driving capabilities of the upcoming Model 3 to represent a major step forward from the Autopilot system available in its cars today. Will it be good enough to meet the objections of people like Trent Victor? We will know in about 18 months.
Source: The Verge
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
