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Jaguar I-PACE buyer shares ownership experience: range issues, regrets, Teslas, and why EV training matters

A top-of-the-line Jaguar I-PACE. (Photo: Umang Shah)

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Umang Shah is the very definition of a “car guy.” Over his 20 years of car ownership, he has owned 19 vehicles of different styles and brands, from hot hatches to off-road-capable SUVs to high-performance station wagons. This is why, when premium electric cars with decent range and impressive performance started becoming more mainstream, Shah knew that the only question was which electric vehicle he will acquire. 

If one were shopping for an electric car, one would likely look at Tesla’s offerings. For Shah, Teslas were incredibly impressive in terms of tech, and the Supercharger Network ensured that range anxiety would be a moot point, but their exterior design was just a bit too conservative. Interestingly, Top Gear host Chris Harris echoed these very same sentiments in a recent review of the Tesla Model 3 Performance

Thus, after extensive research, Shah opted to purchase a top-of-the-line Jaguar I-PACE for around $90,000. The vehicle was critically acclaimed, having been praised by multitudes of reviewers since its release. It had also been sweeping awards left and right, such as the World Car Design of the Year and World Green Car of the Year awards this past April. The I-PACE was no Tesla in terms of tech, but it had all the accents of a premium automobile from a carmaker like Jaguar, from its luxurious cabin to its bold, aggressive design. Even its range, quoted by the EPA at 234 miles per charge, was decent. 

Umang Shah’s top-of-the-line Jaguar I-PACE. (Photo: Umang Shah)

For the I-PACE owner, everything that transpired when he walked into a Jaguar dealership in Edison, NJ, was a perfect example of how hindsight is always 20/20. When he was taking delivery of the vehicle, Shah noticed that the I-PACE was only showing 201 miles of range despite the battery being at 100%. Jaguar informed Shah that the range in the vehicle was “adaptive,” and that it would update over time as the crossover gets driven. Over the next 24 hours, the new EV owner drove his I-PACE, and it quickly became evident that the 201-mile range quoted in the vehicle during delivery might even be optimistic. The surprising scarcity of working fast chargers for the vehicle also tested the I-PACE owner’s patience. 

Jaguar left a loaner and took in Shah’s I-PACE for repairs three days after the crossover’s delivery. Based on the I-PACE’s logs from its mobile app, Shah saw that the dealership’s staff charged the vehicle to 100% before going on an 89.5-mile trip, but by the end of the journey, the electric crossover only had 87 miles of range left. A few days after, Shah saw from his mobile app that his I-PACE had been driven for 3.9 miles, which caused a 14-mile drop in the vehicle’s remaining range. Things seemingly took a turn for the better, as the EV owner was informed by the Jaguar dealership a few days later that his crossover had been “patched” with an update related to an ongoing recall for the I-PACE’s brakes, and that it will be ready to be picked up the following day. 

The dealership’s staff even added that the I-PACE was already charging in excess of 260-270 miles. Unfortunately, Shah received another call from the dealership right before he was scheduled to reclaim his I-PACE, informing him that the vehicle’s range issues have actually not been addressed. Looking at the crossover’s mobile app, Shah saw that his I-PACE had taken a 1.5-mile trip that ended up consuming 17 miles of range. At this point, the issue was escalated to Jaguar Land Rover corporate, and the I-PACE remained unusable. In a conversation with Teslarati, Shah stated that amidst his vehicle’s issues, it became very evident that Jaguar dealers were simply unprepared to handle an electric car like the I-PACE. They might have a network of dealers across the country, but with very little staff who actually know electric cars inside out, I-PACE owners could end up being left in limbo when issues arise. 

Screenshots from the Jaguar I-PACE’s mobile app. (Credit: Umang Shah)

Shah was with his family when Teslarati spoke with him about his experiences with his Jaguar I-PACE, and during our conversation, the new EV owner sounded regretful. Shah sheepishly admitted that he chose the wrong car over a tried-and-tested EV brand like Tesla. With all the headaches he has developed due to his I-PACE’s range issues that Jaguar’s dealers simply can’t seem to fix, Shah stated that he would have been better off had he purchased the conservatively-styled Tesla Model X instead, since the larger SUV’s Long Range variant goes 325 miles per charge for $91,000 before incentives, and it has basic Autopilot as standard.

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Shah is currently looking to get a refund for his I-PACE (or at least a replacement unit), and when asked if this experience has discouraged him from EVs as a whole, the car enthusiast stated that his next vehicle will most definitely still be electric. Though this time around, he would make sure that his EV will be a Tesla. 

The experiences of Shah hint at one particular problem that could become tricky for veteran automakers amidst their electric vehicle strategies: releasing premium electric cars is one thing, but having a well-trained staff that knows the ins and outs of EVs and their technologies is another. Hopefully, carmakers such as Jaguar could improve in this metric, and other companies dipping their toes in the EV market like Mercedes-Benz, Audi, and Porsche, would adequately prepare their employees and dealers for the upcoming widespread adoption of electric transportation. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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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.

Elon Musk shares details on X vs. Brazil conflict

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 Cybercab launch preparations have begun

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Credit: TechOperator | X

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:

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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 says he ‘hopes AI is nice to us’

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Credit: Ministério Das Comunicações [CC BY:2.0]

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.”

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.

Elon Musk breaks silence on OpenAI trial decision

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.

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