News
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.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
