News
Survey shows Americans don’t trust self-driving cars. They also don’t know you can’t buy one.
A new survey revealed that a startling number of Americans feel less safe in a self-driving vehicle. However, the same survey also revealed that nearly one-in-four Americans believe you can currently buy a vehicle that is designed to let drivers take their eyes off the road.
The survey from Policygenius revealed that 76 percent of respondents are not convinced of a self-driving vehicle’s accuracy or safety, and they feel less safe in one rather than a human-controlled car. Additionally, 73 percent of people said they feel less safe knowing other people on the road are traveling in cars with self-driving features.
As self-driving features, semi and fully-autonomous vehicles begin to become more popular with companies like Tesla, Waymo, Cruise, and others pushing their driver assistance systems; the future is undoubtedly here. However, consumers are skeptical of the technology and its capabilities.
“Whether because of road rage, reckless driving, or car accidents, it’s understandable that many people are wary of taking their eyes off the road and relying on a self-driving car,” Rachel Brennan of Policygenius said. “As advances in autonomous vehicle technology continue, auto companies and insurance companies will need to resolve a number of challenges, from helping people feel safe on the road to navigating new insurance implications, like who is at fault in an autonomous vehicle incident.”
33 percent of respondents also stated that a car with full self-driving capability would still require constant attention. 80 percent said they would not pay more to own a car with self-driving features.
Unfortunately, this is not the first study that has supported these claims. AAA revealed in May 2022 that 85 percent of people are still fearful or unsure of self-driving tech; a number that has stayed relatively steady for several years, the survey’s report said. 85 percent also stated they would not feel comfortable using a self-driving vehicle to transport their loved ones.
The issue of liability also seems to raise some concerns with consumers. The survey said Americans are divided at 50/50 on who should be held responsible if a car crashes while self-driving features are in control: the driver or the manufacturer.
The issue is that consumers are not educated enough on the capabilities, or even the availability of self-driving vehicles. The same survey showed 24 percent of consumers believed fully-autonomous vehicles are available to buy and drive right now, which simply is not true.
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Self-driving vehicles are still years away, but semi-autonomous functionalities are still highly efficient and widely available across many manufacturers. Nearly every vehicle out there has some sort of driver assistance feature, which includes lane centering or traffic-aware cruise control. However, there is not a vehicle on the market right now that is capable of full autonomy, which would mean a driver could sleep during the vehicle’s operation.
You can’t necessarily blame consumers, though. In a quest for clicks, ad dollars, and viewership, YouTubers and other social media influencers have caricatured the capabilities of these vehicles, which has put out a false narrative of the real-world abilities of vehicles with self-driving features. No matter what you see or read, know that you or anyone else cannot walk onto a dealership lot or log onto a website and buy a car that drives you places. It does not exist.
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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
