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Tesla Model 3 used by Police Department reveals massive financial savings
The Westport Police Department in Connecticut has released a new financial analysis that is showing massive savings, as anticipated, after the purchase of a Tesla Model 3 that would be used as a police cruiser. The Police Department reports that it has already helped recoup the purchase price premium and helped save money for the department in its first full year of operation.
After purchasing a Tesla Model 3 in December 2019 and putting it to work in February 2020, Westport PD spokespeople said that the all-electric sedan has already exceeded expectations for performance, cost savings, and environmental benefits. After sparring with the idea of purchasing another Ford Explorer for the police fleet, cost-effectiveness became the big question. There is a $15,300 difference between the Model 3 and the Explorer, but Westport’s PD has no regrets about its decision.
Tesla Model 3 becomes first squad car for Connecticut police department
“The purchase price differential was recouped in the first year due to reduced customization and lower operating costs. All of these have been analyzed in detail,” the department said.
The EV Club of Connecticut completed a vehicle cost comparison analysis after the first year of ownership shows that, despite the additional initial cost of the Model 3, reduced maintenance costs, along with decreased customization needs for the Model 3, gave the department a savings of around $17,600. The ongoing cost of the Model 3 is comparatively less than that of the Ford Explorer based on routine maintenance and fuel costs.
Credit: EV Club of CT
Additionally, the Police Department is also considering purchasing another Model 3 to add to its fleet. After four years of ownership of the “Pilot” Tesla that the department purchased in 2019, the total cost is projected to be $79,400. If another Model 3 is added to the fleet, after four years, it will cost $95,800. The Ford Explorer would be much more expensive, sitting at $120,200.
The Westport Police Department outlined several conclusions after the analysis.
- After four years the Tesla will have saved enough money to buy another Tesla.
- Each EV avoids emission of over 23 tons of CO2 per year and saves $8763 in environmental and health costs.
- There is a $12,582 savings in fuel alone after four years from using electricity to power the vehicle.
- Reduced maintenance. Regenerative braking means that the engine slows the car and recaptures some of the kinetic energy, replenishing the battery and reducing wear on the friction brakes. It is one example of how an EV saves on maintenance. Other examples are no oil changes, spark plugs, transmission, alternator, water pump, or catalytic converter.
- Even during the winter months, the vehicle was able to consistently run two consecutive patrol shifts without needing to be recharged, and there were no operational issues related to charging and battery use.
Credit: EV Club of CT
The Town of Westport audited the financial analysis.
Chief Foti Koskinas, who was a vocal supporter of bringing the vehicle into the fleet, said, “Tesla has been a great partner, including re-coding where necessary. We would not have been able to do things like wire the electronics into the large battery or access the car’s computer without their help.”
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Along with the massive cost benefits, the department says the instant torque and performance are key factors in overtaking a suspect’s moving vehicle. This increases the safety of the driver, officer, and other vehicles, as a traffic stop can be completed thanks to the lightning-quick agility of the Model 3 quickly.
Despite the large cost initially, the residents of Westport have been extremely positive. “Feedback from the public has been overwhelmingly positive, Charles Sampson of the Westport PD said. “We’ve have been contacted by at least 50 other police departments – from all over the world – with questions about our experience. I know many of them have gone on to purchase Teslas for their fleets.”
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Elon Musk
Tesla AI boss reveals how big Optimus is going to get
Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.
![Tesla Optimus Gen 3 [Credit: Tesla]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-optimus-gen3-diner.jpg)
Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”
The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.
The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.
Correction, 10 million robots https://t.co/0z4nyQNTzp
— Ashok Elluswamy (@aelluswamy) July 30, 2026
Tesla Optimus project fires up as Musk sees production line progress
Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.
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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
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The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
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![Tesla Optimus Gen 3 [Credit: Tesla]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-optimus-gen3-diner-80x80.jpg)
Tesla AI boss reveals how big Optimus is going to get
Autonomous vehicle red tape gets slashed by Trump Administration
