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Tesla files lawsuit against ex-employee for sabotage, misreporting to media
Tesla filed a lawsuit in a Nevada court today against Martin Tripp, one of its former process technicians, over allegations of hacking, exporting confidential data to outside entities, and misreporting to the media.
Tesla’s lawsuit comes just days after Elon Musk sent out an email to employees informing them that a disgruntled employee has committed sabotage against the company. Sent on Sunday night, Musk’s email did not identify the alleged saboteur, though the CEO noted that what the employee has admitted to so far has been serious. Musk’s email further noted that the employee’s sabotage attempts were made in retaliation of a failed promotion.
Tesla’s lawsuit, which could be accessed in full here, provides a background of Tripp’s employment at Tesla and some of the circumstances that led him to act against the company. According to Tesla’s suit, Tripp started his employment back in October 2017 as a process technician, which gave him access to confidential information pertaining to several facets of Tesla’s manufacturing operations. Eventually, however, Tripp was allegedly unhappy in his role, complaining that his post was not “sufficiently senior.”
Tesla noted that Tripp was eventually reassigned to a new role on May 17, 2018, after his managers identified job performance problems and a tendency to be combative and disruptive to his colleagues. Tripp allegedly expressed anger over his reassignment, retaliating by initiating an attack on Tesla.
The Elon Musk-led company’s suit alleges that on June 14 and 15, Tesla investigators interviewed Tripp about his misconduct. While he allegedly denied any wrongdoing, he eventually admitted to several offenses after evidence was presented. Tripp admitted to writing software that hacked the Tesla Manufacturing Operating System and transferring several gigabytes worth of confidential and proprietary data to outside entities. Among these are images and a video of Tesla’s manufacturing operations. Tripp also admitted that he attempted to recruit additional sources inside Gigafactory 1 to share data outside the company.
Tesla further notes that Tripp had authored a hacking software that could have compromised other employees. Tripp had allegedly misreported to the media as well, making false claims about the quality of the battery modules being installed on the Tesla Model 3.
“While its investigation is still in the early stages, Tesla has also discovered that Tripp authored hacking software and placed it onto the computer systems of three other individuals at the company so that confidential Tesla data could be persistently exported off its network from these other systems to unknown third parties.
“Tripp also made false claims about the information he stole from Tesla. Tripp claimed that punctured battery cells had been used in some Model 3 customer vehicles even though the evidence clearly demonstrates that no punctured cells were ever used. Tripp also used the Tesla data that he exported to grossly overstate the true amount and value of “scrap” material that Tesla generated during the manufacturing process, and he falsely claimed that Tesla was delayed in bringing new manufacturing equipment online at the Gigafactory.”
Tesla has outlined five claims for relief in its lawsuit against the former employee, including violations described in the Defend Trade Secrets Act, the Nevada Uniform Trade Secrets Act, and the Nevada Computer Crimes Law. Tesla is also suing Tripp for Breach of Contract and Breach of Fiduciary Duty of Loyalty.
Tesla is yet to provide a statement about the recently filed lawsuit. Musk, however, addressed the lawsuit in a recent tweet.
There is more, but the actions of a few bad apples will not stop Tesla from reaching its goals. With 40,000 people, the worst 1 in 1000 will have issues. That’s still ~40 people.
— Elon Musk (@elonmusk) June 20, 2018
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
