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Tesla gets its first negative review from a police force standpoint
Tesla vehicles have been adopted by several police forces across the United States, and they have widely been met with positive reviews, mainly driven by cost savings and performance advantages.
However, one department has found the Tesla fleet to be less than ideal, even going as far as saying “(they) do not appear to the be the ‘patrol cars of the future.’”
In 2019, the Menlo Park, California City Council voted 3-2 to adopt a Sustainable Fleet Policy in 2020. The Model Y Long Range was chosen as the vehicle for the Menlo Park Police Department, beating out the Ford Mustang Mach-E and some other EVs.
Three units make up the EV portion of the Menlo Park Police Fleet.
Teslas need to be outfitted and modified for police use. Lights, sirens, seats, specialized seatbelts, communications equipment, a gun rack, window guards, and ballistic door panels are all equipped to make it a full-fledged law enforcement vehicle.
Tesla Model Y showcased at Menlo Park Police employee appreciation event
Outfitting a Tesla Model Y was roughly $12,700 more expensive than a Ford Explorer Hybrid, and the difference when also factoring in the initial cost of the vehicle came to $25,355, a 33 percent increase for the Tesla compared to the Ford.
Other police departments have canceled out the difference in initial cost after just a year of operation.
Officers also said the “small interior space” and “smart car” features, along with the low vehicle profile all made things more difficult.
Space Constraints
In terms of space constraints, after the vehicle is outfitted for patrol use, there is a “reduce amount of space for an officer in full patrol gear.” The report, released by the Menlo Park City Council, said:
“The width of duty belts and bulletproof vests do not fit well in the bucket seat and the height of the center console required larger officers to sit at an angle or with their sidearm pinned and inaccessible while in the vehicle. The equipment overhangs the passenger seat making it nearly unusable. This is not an immediate issue, as the current patrol operations do not deploy two officers in every vehicle, but would limit the ability to transport personnel or change operations in the future. In particular, the passenger seat space would not allow training officers to comfortably sit next to a trainee for a 12-hour shift, preventing field training for new officers. The rear seats provide very little room for anyone detained or transported in the back of the car.”
“Smart Car” Challenges
The Menlo Park PD listed Autopilot interference, lighting controls, and proximity locking, sleep mode, and self-closing doors as disadvantages:
“The following “smart” features of the Teslas created challenges for patrol operations:
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- Autopilot interference: There is a delay when officers shift into drive; and on occasion the Teslas automatically stop when an officer attempts to pull off to the side of the road to approach vehicles or people.
- Lighting controls (tablet): Tesla does not allow direct access to the system; officers need to use a multistep touch screen process to follow standard practice to dim their lights upon approach at night.
- Proximity locking, sleep mode and self-closing doors: The car knows when the key is, or is not, present within an effective range. The cars will not lock if the key, or enabled smartphone, are near the vehicles and will conversely lock if the key or smartphone is away from the vehicle.”
According to Almanac News, Menlo Park’s local news, the City Council approved the purchase of a Chevrolet Blazer for a future Police vehicle. It appears the Department is just not set on the Tesla for police use.
“I am very proud that we tried the Teslas, and not everything works,” Betty Nash, a Council member, said. “I appreciate all the work that the police department did with working through all the bumps.”
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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
