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Tesla terminates employee and FSD Beta tester who shared drives on YouTube
A Tesla employee and FSD Beta tester has been terminated over what the company states is a conflict of interest. The employee in question, Jon Bernal, is also the owner of the AI Addict YouTube channel, which features both casual and stress tests of Full Self-Driving Beta in real-world situations.
Over the past year, Bernal shared numerous videos of FSD Beta in action, and being one of the system’s users who typically pushes the advanced driver-assist system to its limits, some of his videos featured flaws and shortcomings in Full Self-Driving Beta’s capabilities. This included a rather dramatic video of FSD Beta 9 in downtown San Francisco, which featured several mistakes in the system’s maneuvers, as well as an actual accident involving FSD Beta 10.10 in downtown San Jose, which featured Bernal’s Model 3 hitting a traffic bollard.
Following his termination from the company, Tesla opted to cut off Bernal’s access to FSD Beta. This, according to the former employee, was despite the fact that he has not encountered any safety strikes while using the system. Bernal’s 2021 Tesla Model 3 is still equipped with the company’s Full Self-Driving suite, however, which was given to him as a free perk when he purchased the vehicle as an employee. Tesla’s FSD suite is currently offered as a $12,000 option, though it was priced at $8,000 when Bernal took delivery of his Model 3 in December 2020.
Bernal started his employment at Tesla in August 2020, working as a data annotation specialist in an office in San Mateo, California. As per records shared by the former employee to CNBC, he was later moved into the role of advanced driver assistance systems test operator. He was terminated from the company on the second week of February 2022. Prior to his dismissal, Bernal stated that managers verbally informed him that he “broke Tesla policy” and that his AI Addict YouTube channel was a “conflict of interest.”
While Bernal did previously admit in the comments section of one of his YouTube videos that he was a Tesla employee, the AI Addict channel does not prominently indicate or disclose that its host works for the EV maker. That being said, Bernal maintains that he has been transparent about his YouTube channel, even with his colleagues at Tesla. He also maintains that he has never disclosed anything in his videos that the company has not rolled out to the public.
“The FSD Beta releases I was demonstrating were end-user consumer products,” the former Tesla employee said.
While he cannot use his personal Model 3 for FSD Beta videos today, the former employee noted that he has attained access to other Teslas with FSD Beta. As such, Bernal noted that he should be able to continue his independent research and reviews. One such video has already been uploaded on the AI Addict YouTube channel, where Bernal briefly discussed his departure from Tesla before taking FSD Beta in his typical stress tests.
Despite his experiences with the EV maker, Bernal has noted that he still cares a lot about the company and what it is attempting to accomplish with products like Autopilot and FSD Beta. “I still care about Tesla, vehicle safety, and finding and fixing bugs,” he said.
Bernal’s latest video, which includes his thoughts on his departure from Tesla, could be viewed below.
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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.”
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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
