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Tesla Autopilot abuser released from jail, buys new Tesla, rides in backseat again
The Tesla Autopilot abuser arrested earlier this week for reckless driving after riding in the back seat of his electric car while operating on Autopilot is out of jail. Now, he is in a new Model 3 and riding around in the backseat once again after claiming that he’s so rich, he can buy a new Tesla every time the police arrest and release him from jail.
“I’m rich as (expletive). I’m very rich,” 25-year old Param Sharma said to San Francisco’s KTVU on Wednesday. “I’ll just get a new Tesla every time. I have unlimited money to blow on Teslas. If you take my Tesla away, I will get another Tesla.”
Sharma was arrested on Monday after a video of him riding in his all-electric Tesla in the backseat on Interstate 80 surfaced online. It was his second arrest in two months.
UPDATE 1/2: Param Sharma tells @JesseKTVU he already got a bright-red brand-new @Tesla Model 3 after @CHPoakland towed his other one because of his backseat driving pic.twitter.com/H5Ning2leP
— Henry K. Lee (@henrykleeKTVU) May 13, 2021
After his arrest on Monday, Sharma was charged with two counts of reckless driving and disobeying a police officer. He was subsequently released, and legal analysts believe that the Judge will warn him of further consequences if his actions persist.
“What I think you’ll see is his first court date is the judge give him a very stern warning and say, ‘You are not to drive unless you’re in the driver’s seat of your vehicle. And if you do, we’re gonna put you back in jail,’” Steven Clark, a Santa Clara County-based legal analyst, told KTVU. Sharma isn’t bothered because he says every time he’s arrested and released, he’ll just buy a new car.
Tesla owner arrested due to Autopilot abuse pledges to continue Autopilot abuse
The risks of driving a Tesla on Autopilot without actually operating the vehicle are tremendous and provide numerous issues for various people. First, the operator of the car is misusing Autopilot. Tesla does not have a Level 5 Autonomous driving program, nor has it ever claimed that its vehicles could be driven without supervision from the driver. To this day, the company’s website still indicates that drivers must remain attentive and keep their hands on the steering wheel at all times.
The company’s Autopilot Frequently Asked Questions page states:
“Yes. Autopilot is a hands-on driver assistance system that is intended to be used only with a fully attentive driver. It does not turn a Tesla into a self-driving car nor does it make a car autonomous.
Before enabling Autopilot, you must agree to “keep your hands on the steering wheel at all times” and to always “maintain control and responsibility for your car.” Once engaged, if insufficient torque is applied, Autopilot will also deliver an escalating series of visual and audio warnings, reminding you to place your hands on the wheel if insufficient torque is applied.”
Additionally, the misuse of Autopilot is dangerous to other drivers, pedestrians, and anyone near a public roadway. The vehicle is still to be controlled and supervised by the driver, and Autopilot is not capable of traveling on streets without an attentive driver.
Finally, it is a huge risk for Tesla and other companies attempting to solve fully autonomous driving or even semi-autonomous driving. An incident that occurs due to a lapse in supervision or responsibility by the driver could result in major steps back in the pursuit of autonomy. While regulations in the United States and other countries are already stringent, irresponsible use of any semi-autonomous driving functionality could lead to even more delays in legislation or regulations that ease the restrictions on assisted driving.
Sharma will appear in court on July 6th, and he said he will plead not guilty.
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
