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Tesla Model S police cruiser not to blame for mishap, says Fremont PD
The Fremont Police Department released a statement on Thursday evening clarifying reports that its Tesla Model S cruiser ran out of battery during a high-speed pursuit on Interstate 680.
On Monday, the Tesla Model S gained national attention as a journalist contacted the department requesting information regarding a high-speed chase from the Irvington District of Fremont, California to Washington Boulevard. The chase eventually ended up on Interstate 680, heading south toward San Jose, CA. The journalist released a portion of the police scanner recordings from the chase, where the officer driving the Model S told other units in the pursuit that he would have to abandon due to his battery running low.
However, the suspect then drove onto the shoulder of the interstate, passing a vehicle in an increasingly unsafe manner. The Sargeant of the Fremont PD then made the decision to halt the pursuit of the vehicle as it was becoming more of a public safety risk. All three police units disengaged the vehicle, and the chase was stopped after about 10 miles.
When the Sargeant made the announcement to stop pursuing the vehicle, the Tesla Police Cruiser was at a nearby charging station. The statement from the Fremont PD stated, “at no time did the battery of the Tesla become a factor in our ability to pursue the suspect or perform our duties. This situation, while embarrassing, is no different from cases where a patrol car runs low (or even dry) of fuel.”
Fremont’s statement noted that the journalist who released the initial story contacted the department with questions and subsequently published the article. It reached the national spotlight due to public interest. Fremont Police were sure to clarify the fact that the Tesla having to drop out of the chase could have happened to any vehicle and that they recommend each officer have at least half of a tank of gas or half a battery charge when they begin their shift. “While not policy, we recommend officers begin their shift with at least a half tank of gas or in this case, a battery charge of 50%. On this date, our officer driving the Tesla noted approximately 50% of battery life when he began his shift,” they said. The fact that the vehicle had to stop was in no way the fault of the Model S.
In fact, the department has been so pleased with their Tesla cruiser, they have already had initial talks about buying a second vehicle, most likely a Model X. “So far, the vehicle is performing extremely well, and has exceeded our expectations. We are already in initial conversations about testing a second vehicle, likely an SUV model, and we look forward to providing our initial results in the near future,” Captain Sean Washington said.
The Fremont PD stated that their Model S police cruiser has outperformed their expectations and they are extremely happy with its performance, as they have tracked the performance of the vehicle since its induction into the police force. “Over the last six months, data on range, performance, equipment, and other elements has been gathered by officers through its use as a patrol vehicle. During this time we have documented two police pursuits, where the vehicle met and exceeded expectations.”
Fremont is the location of the original Tesla Factory. The company bought the facility in 2010. Previously, it was the home of General Motors from 1962 to 1982 and eventually, Toyota also produced vehicles there. Tesla and Toyota worked conjunctively to work toward producing electric vehicles. Tesla officially opened the factory as its own on October 27, 2010.
Read the full statement from the Fremont Police Department below:
Our Department has unfortunately been in the news this week for an incident involving our electric police patrol vehicle (Tesla Model S). We first deployed the Tesla in March of this year as a fully outfitted patrol vehicle. Over the first six months, the performance feedback and initial data collection has been very positive and we are in early discussions of expanding the program. During a pursuit last Friday night, the battery charge began to run low, and we’d like the opportunity to clarify and provide additional context with regard to what occurred.
On Friday afternoon, a patrol officer checked out our Tesla patrol vehicle at the start of his shift and noticed the battery was half-charged. A typical battery at full charge ranges from 220-240 miles and during an 11 hour patrol shift, Fremont patrol officers drive approximately 70-90 miles. While not policy, we recommend officers begin their shift with at least a half tank of gas or in this case, a battery charge of 50%. On this date, our officer driving the Tesla noted approximately 50% of battery life when he began his shift. While the vehicle is routinely charged between shifts, on Friday the vehicle had just been returned from our Corporation Yard. The vehicle is regularly returning at the end of every shift with 40-60%, if not more, of the battery charge remaining.
Nine hours into the officer’s shift, at 11:05 p.m., he became involved in a vehicle pursuit that lasted a total of 8 minutes. The pursuit began in our Irvington District and traveled on Washington Blvd., before merging southbound onto I680 towards San Jose. Within minutes, two additional Fremont patrol units were behind the Tesla and in the pursuit. Additionally, the California Highway Patrol (CHP) was notified and responding. As standard protocol, once CHP has sufficient units, they take over our pursuits on the freeway.
The pursuit spanned approximately 10 miles and at times exceeded 110 mph. Regular updates regarding the speed, location, general traffic and roadway conditions were provided by the second officer in the pursuit. Just before the pursuit ended at 11:13 p.m., the officer driving the Tesla responsibly notified his cover units he was going to have to back out of the pursuit because his battery was running low. Just after they passed the Montague Expressway exit, the suspect drove on the left shoulder of the road to pass a vehicle. At that time, the Fremont Police Sergeant monitoring the pursuit gave orders to terminate to ensure public safety. All three units deactivated their emergency equipment and returned to normal driving conditions. At that point, the Tesla was driven to a nearby charging station and the additional Fremont units returned to the City. CHP located the unoccupied vehicle in the area of I680 and the Berryessa exit. At no time did the battery of the Tesla become a factor in our ability to pursue the suspect or perform our duties. This situation, while embarrassing, is no different from cases where a patrol car runs low (or even dry) of fuel.
In recent years police radio traffic has become readily accessible through phone applications and its common practice for news media and even community members to monitor and even record. On Monday, a local journalist contacted our Department requesting additional details regarding the pursuit. The journalist subsequently wrote an article and released a portion of our radio traffic. Since that time, the Department has received numerous media inquiries regarding the vehicle’s battery. Unfortunately, public interest in the original story propelled it into the national spotlight.
Over the last six months, data on range, performance, equipment, and other elements has been gathered by officers through its use as a patrol vehicle. During this time we have documented two police pursuits, where the vehicle met and exceeded expectations. Our final results and data will ultimately help us determine if the EV technology meets current patrolling applications and cost effectiveness. We remain dedicated to our continued research into the benefits of using electric vehicles and the effects they have on our environment. We hope to share our initial data and feedback soon.
Captain Sean Washington stated, “So far, the vehicle is performing extremely well, and has exceeded our expectations. We are already in initial conversations about testing a second vehicle, likely an SUV model, and we look forward to providing our initial results in the near future.”
For more information on our electric vehicle pilot program, visit www.fremontpolice.org/electricvehicle.
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla Hardware 3 owners could be made whole this month
