Tesla has put its foot down on claims that its vehicles are prone to sudden “unintended acceleration,” which was alleged in a petition to the NHTSA submitted by a short-seller. In a recently-published blog post, the electric car maker explained that claims of SUA are false simply because its cars are designed to accelerate only when they are told to do so.
News recently broke that the National Highway Traffic Safety Administration is reviewing a petition claiming that all Tesla models are prone to SUA, and are therefore rife with a dangerous safety defect. The petition, which covers about 500,000 Teslas produced from 2013 to 2019, included 127 complaints that were submitted either by owners themselves, or others filing on their behalf.
The petition was submitted by Brian Sparks, who happens to be shorting Tesla stock. This means that he is financially incentivized to help push TSLA prices down. Unfortunately for the short-seller, claims of SUA on Teslas have never really borne fruit, as the vehicle’s logs have always proven that “unintended acceleration” happened because the driver pressed the accelerator by mistake.
And it’s not just Tesla that has defended its vehicles, either. Jason Hughes, a Tesla owner who has delved deep in the company’s software, and who has been critical of the company in the past, has gone on record offering a financial reward to anyone who can prove that a Tesla was involved in a sudden unintended acceleration incident. So far, no one has proven Hughes wrong yet, and he is confident enough to state that vehicle logs always show that SUA is simply not possible.
These are the points Tesla outlined in its recent blog post. In a firmly-worded manner, the electric car maker stated that there is no “unintended acceleration” in its vehicles. The company also noted that it has worked with the agency to ensure that its vehicles are safe, and that it has reviewed claims of SUA with them. In every instance, vehicle logs proved that the electric cars functioned as intended.
Following is Tesla’s blog post about the recent “unintended acceleration” claims.
There is no “unintended acceleration” in Tesla vehicles
The Tesla Team – January 20, 2020
This petition is completely false and was brought by a Tesla short-seller. We investigate every single incident where the driver alleges to us that their vehicle accelerated contrary to their input, and in every case where we had the vehicle’s data, we confirmed that the car operated as designed. In other words, the car accelerates if, and only if, the driver told it to do so, and it slows or stops when the driver applies the brake.
While accidents caused by a mistaken press of the accelerator pedal have been alleged for nearly every make/model of vehicle on the road, the accelerator pedals in Model S, X and 3 vehicles have two independent position sensors, and if there is any error, the system defaults to cut off motor torque. Likewise, applying the brake pedal simultaneously with the accelerator pedal will override the accelerator pedal input and cut off motor torque, and regardless of the torque, sustained braking will stop the car. Unique to Tesla, we also use the Autopilot sensor suite to help distinguish potential pedal misapplications and cut torque to mitigate or prevent accidents when we’re confident the driver’s input was unintentional. Each system is independent and records data, so we can examine exactly what happened.
We are transparent with NHTSA, and routinely review customer complaints of unintended acceleration with them. Over the past several years, we discussed with NHTSA the majority of the complaints alleged in the petition. In every case we reviewed with them, the data proved the vehicle functioned properly.
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
