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Tesla gets its first negative review from a police force standpoint

Credit: Police Commander, T. J. Moffett

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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.

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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.

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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.”

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla reveals first vehicle model to receive Starlink integration

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Tesla has evidently revealed which of its vehicle models will be the first to receive Starlink integration: the Cybercab.

Tesla’s Santana Row showroom now has a full-fledged display of the Cybercab, with an extensive bit of information hung around an exhibit that seems to reveal the vehicle’s newest feature: an integrated Starlink antenna that will enable secure and reliable internet access during trips.

Credit: @Starscream_SJC | X

Cybercab is geared toward autonomous ride-hailing for one or two passengers. The production units rolling off the lines at Gigafactory Texas are built without steering wheels or pedals, meaning when public rides begin, passengers will not need to interact with a human being or control the vehicle in any way outside of what appears on the center screen for their entertainment during the ride.

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Along the display, Tesla wrote this message about Cybercab:

“Cybercab is built for autonomy. It has no steering wheel, no side mirrors, and no pedals. It goes where you tell it to go and how you want it to, so you can relax along the way. It is hyper aware and responsive to your surroundings, monitoring other drivers, responding to emergency vehicles, utilizing its expertise in the rarest scenarios to help keep you safe.”

Tesla has been teasing a potential Starlink integration for quite some time now. In December, the company hinted at potential Starlink internet terminal integration within its vehicles in a patent that described a vehicle roof assembly with integrated radio frequency (RF) transparency.

Tesla hints at Starlink integration with recent patent

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The company wrote in its patent application that a new roof design built with materials that differ from the standard metallic or glass elements used in today’s cars would allow it to integrate modern vehicular technologies, in particular, ones that require radio frequency transmission and reception.

Tesla suggested high-strength polymer blends, like Polycarbonate, Acrylonitrile Butadiene Styrene, or Acrylonitrile Styrene Acrylate.

This is the first time we’ve seen Tesla officially confirm the Starlink integration into the Cybercab. It’s not much of a surprise considering the company’s intention behind the Cybercab, which is to make travel autonomous.

Productivity will now be at a maximum during a work-related commute, while the center screen could be utilized for Netflix or potentially even live TV for those who are heading to dinner or to a fun activity.

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SpaceX adjusts Starship Flight 13 test launch target date once again

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Credit: SpaceX

SpaceX has updated its target for the thirteenth integrated flight test of Starship, aiming for as early as Thursday, July 23. The 90-minute launch window opens at 5:45 p.m. CT from the company’s Starbase facility in South Texas.

The target flight was initially rescheduled for today, but SpaceX pushed it back again.

This latest adjustment follows an aborted attempt earlier in the week and reflects the iterative, rapid-development approach that has defined the Starship program. With the vehicle already stacked and ground teams making final preparations, the mission represents another step toward proving the full reusability of the world’s most powerful rocket system.

The original launch attempt on July 16 was scrubbed at T-0 when several Raptor engines on the Super Heavy booster failed to ignite properly. The automatic abort system triggered just as the engines began their startup sequence, preventing liftoff.

SpaceX CEO Elon Musk confirmed that some engines did not start as expected, prompting the decision to replace two Raptors on Booster 20 to ensure reliability. The issue occurred despite a successful full-duration static fire earlier, highlighting the complexities of coordinating 33 engines under flight conditions.

This cautious approach underscores SpaceX’s commitment to safety amid an aggressive test cadence.

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SpaceX comes with a slew of changes for Starship Flight 13

Flight 13 builds directly on the lessons from Flight 12 in May 2026. The Super Heavy booster’s primary goals include a successful liftoff, ascent, stage separation, boostback burn, and controlled splashdown in the Gulf of America.

Hardware and software modifications address the off-nominal flip and boostback burn problems from the prior flight, where propellant slosh and engine relight issues led to an uncontrolled impact.

For the Starship upper stage, objectives include deploying 20 operational Starlink V3 satellites, the first real payload of this type, performing a single Raptor engine relight in space, and executing a controlled entry, descent, and splashdown in the Indian Ocean. Propulsion upgrades aim to improve engine-out capability after one vacuum Raptor was lost on Flight 12.

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Additional test elements focus on heat shield performance. Six satellites carry cameras to image the tiles during flight, while white-painted tiles and upgraded attachments on flaps and the aft skirt will gather data for future reusability.

The FAA completed its mishap investigation into Flight 12 earlier this month, clearing the regulatory path.

This suborbital mission, the second with V3 vehicles, advances Starship toward operational missions, including potential crewed flights and support for NASA’s Artemis program. Success would mark significant progress in rapid reusability and satellite deployment from the massive system.

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Elon Musk debunks $52 billion SpaceX-NVIDIA GPU deal

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Credit: SpaceX

Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.

Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.

The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:

Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.

SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.

SpaceX’s newest Starmind will make earth data centers obsolete

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Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.

Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.

This “Starmind” constellation could position the company as a leader in space-based computing.

SpaceX as an Emerging AI Powerhouse

Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.

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The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.

Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.

While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.

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