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.”
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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.
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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.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
