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Tesla Model 3 keying suspect confesses after Sentry Mode video goes viral
A Tesla Model 3 owner who fell victim to a keying incident in the San Francisco Bay Area has located the perpetrator with the help of Sentry Mode and the local police.
Justice Frimpong, a Software Engineer for e-commerce giant Amazon noticed a large scratch on the driver’s side door of his Tesla Model 3 after running everyday errands. The scratch was evidence Frimpong had become the most recent victim of a keying incident on a Tesla vehicle, an all-too-common occurrence as of recently.
After Frimpong noticed the scratch on his Model 3, Sentry Mode captured his reaction to finding the blemish caused by the culprit. Luckily, Sentry Mode also captured the incident of the man scratching Frimpong’s Model 3, as well as multiple angles of the man’s face and his initial approach to the vehicle. Frimpong told Tesla CEO Elon Musk he loves Sentry Mode, and judging by past incidents of the same nature, he knew there was a big possibility the man who keyed his vehicle will be brought to justice.
Sentry mode is 😍 @elonmusk
But still smh pic.twitter.com/hUYQiPTSLK— Justice (@SticeJF) October 22, 2019
Frimpong uploaded a thread of tweets containing several pieces of Sentry Mode footage, including clear angles of the perpetrator’s face and the moment his vehicle was keyed. The tweet thread gained quite a bit of traction, as the story reached local news outlets. With the help of Sentry Mode and the local police department, the man who keyed Frimpong’s Model 3 was brought to justice.
Frimpong stated his Sentry Mode footage captured the license plate of the man who keyed his vehicle. He turned the plate number into police, who were able to use the information to locate the suspect. Frimpong stated the perpetrator denied being in the same location as his Tesla Model 3, but when police told him they were in possession of Sentry Mode footage of the keying, the perpetrator quickly confessed to the crime. The man will be responsible for paying for damages, but it is not known what the motive for the vandalism was.
So in the end I got his info, talked to my insurance, and he will pay for the damages.
I guess you could say "justice" was served lmao
— Justice (@SticeJF) October 24, 2019
Incidents of Tesla vehicles being keyed are becoming far too common in recent months. With the help of Tesla’s Sentry Mode, all of the people who decided to key a vehicle made by the Silicon Valley-based electric car maker have been brought to justice. Earlier in October, a woman in Broomfield, Colorado turned herself in after keying a Model 3 at a high school soccer game. She was booked on the charge of Criminal Mischief, a felony in the area of Colorado where the keying took place.
While keying vehicles will more than likely never stop, Sentry Mode gives Tesla owners the ability to identify the person who damaged their vehicle. In recent incidents, the culprits have been identified and charged with numerous penalties for intentionally keying someone’s Tesla. Sentry Mode has captured many other incidents not related to keying or intentional damage as well. In this instance, however, it is expected the vehicle’s automatically recording cameras will help identify the man who committed this horrible act.
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
