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Tesla Model S police cruiser aces pilot program with remarkably short downtime

(Credit: Fremont PD)

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Last year, the Fremont Police Department launched a one-year Electric Patrol Vehicle Pilot Program aimed at determining if EVs could be effectively used as a standard police cruiser. The Fremont PD chose a second-hand Tesla Model S 85 for its program, which was outfitted with the necessary equipment and deployed as a pursuit vehicle for regular police use.

As it turned out, EVs like the Tesla Model S could not only perform well and withstand the rigors of police work; they could be on the road far longer than their gas-powered counterparts as well, thanks to their low maintenance. The department summed up its findings in a statement released on Thursday.

“After careful review, the Pilot Program was determined to be a success. The police patrol electric vehicle met the needs of police services,” the Fremont PD wrote in a report. Captain Sean Washington proved optimistic about the program as well. “The final results from the one-year Electric Patrol Vehicle Pilot Program have been encouraging as the City of Fremont continues to look for cost-effective ways to help make Fremont more sustainable,” he said.

What really set the Model S apart from its gas-powered colleagues was its low operating costs. During the pilot program, the all-electric sedan consumed $1,036 in energy, far lower than the Ford PPV’s $5,133, assuming that gasoline prices stood at $3 a gallon. The downtime for the Model S 85 was remarkably short as well, with the Tesla spending almost four weeks more on the road compared to its combustion engine-powered counterparts.

“With an average of 27 fewer days of downtime per year, a savings of $2,147 in the total annual cost of energy/fuel, maintenance, and repair, and no operational carbon dioxide emissions, the pilot program results have prompted Fremont PD to move forward with plans to expand its fleet of electric patrol vehicle alternatives,” the Captain said.

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That being said, the repair costs for the Model S 85 proved higher at $4,865 during the pilot year as compared to the $2,915 required by the Ford PPV. According to the Fremont PD on Twitter, this was partly due to the fact that they had to replace the Model S’ tires, thanks in part to the vehicle being used on a pursuit course over multiple days to help train officers. A couple of flat tires over the year also added to the vehicle’s repair costs.

Ultimately, the Model S proved itself as a car that is more than capable of being used as a standard police vehicle. Its 265-mile range easily accommodated the 40 to 70 miles of driving that regular patrol vehicles accumulate on an average day. Police officers who used the Tesla even reported an enhanced feeling of safety and control, as well as a reduction in anxiety and stress, when using the Model S. Radio communications with the Tesla proved superior too, thanks to the lack of engine noise.

Thanks in part to the successful pilot year of the Model S 85, the Fremont Police Department has since added a Tesla Model Y to its fleet. The authorities noted that the Model Y could be even better than the Model S due to its lower starting price, longer range, increased storage space, and higher ground clearance.

The Fremont PD’s report on its Electric Patrol Vehicle Pilot Program could be accessed below.

Police Electric Vehicle Pilot by Simon Alvarez on Scribd

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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