News
Tesla Model 3 vs BMW i4: How hubris is killing a potential ‘Tesla Killer’
Recently, BMW took the wraps off yet another one of its concept electric vehicles, the i4 sedan. The BMW i4 is poised to rival the Tesla Model 3, an electric car that is so disruptive, it is shaking up the midsize high-performance sedan market. Unfortunately for the German carmaker, one has to wonder if BMW’s efforts with the i4 are simply far too late.
Behind the possible clash between the Tesla Model 3 and the BMW i4 is a history that spans years, all the way back to 2013, when Tesla was just starting the production of its flagship Model S and the German automaker was coming up with the i3. But despite the two vehicles being all-electric cars, they could not be any more different.
Tesla designed the Model S as a sedan that can take on the Mercedes-Benz S-Class, and it has the looks, range, and performance to match. BMW, on the other hand, designed the i3 like a novelty vehicle, with a carbon fiber body, limited range, and performance that’s at home in inner-city streets. This distinction between the Model S and i3 foreshadowed the future of the two companies’ electric vehicle programs, as Tesla would follow up on the Model S with the Model X and Model 3, and BMW would end up being stuck with the i3 until today.

Yet despite having just one key pure electric car in its lineup, BMW has put a lot of effort in convincing the auto industry that it is taking electric vehicles seriously. Concept after concept was unveiled to much fanfare, but so far, none of the company’s fancy vehicles like the iNext have a legitimate release date. While this was happening, Tesla was growing, refining its processes, and making its vehicles like the Model 3 even better.
The Model 3 may not be the quickest vehicle in Tesla’s lineup, but it is the most disruptive. Priced aggressively and designed to take on the most established premium midsized sedans like the BMW 3-Series and the Mercedes-Benz C-Class, the Model 3 was poised to make waves, and make waves it did. The Model 3 Performance, the most powerful of the lineup, even managed to beat the legendary BMW M3 on the track, hands down. The idea of an electric sedan outperforming the M3 on the track would have probably warranted mockery had it been suggested during the days of the Model S and i3, but it is a painful truth that the German automaker has to swallow now.
It was not long before it was evident that the i3 won’t be enough to take on vehicles like the Model S or Model 3. Yet, BMW seemed to still take its sweet time developing its electric cars, with some executives even adopting the narrative that there is not enough demand for pure EVs anyway. It is then unsurprising that today, Tesla’s lead in electric mobility has become so stark, it is almost embarrassing for some legacy automakers like BMW.

When BMW announced the unveiling of its i4 concept on Twitter, the electric vehicle community immediately poked fun at the automaker for showing off yet another concept car. The car had impressive specs, though, with BMW stating that the i4’s single motor will generate about 530 hp, about on par with one of the automaker’s V8 engines. The i4 is pretty quick too, with a 0-62 mph time of about 4 seconds. Range-wise, estimates point to the i4 having about 270 miles in between charges.
While these specs are decent and a notable improvement over the i3, the i4 does show several signs suggesting that BMW is still not going all-in on electric cars. A look at the vehicle’s exterior alone shows that the i4 is still designed like a conventional car, with a long sloping hood that lacks any sort of frunk due to the space being allotted for electronics. Overall, the i4 boasts an attractive design that would likely end up being a template for the next-generation BMW 3-Series, but a ground-up EV it does not seem to be.
And here lies the issue with BMW so far. It appears that even after years of the i3 never really taking off, the company is still under the impression that it can ride the EV wave with a car that is just adequate in features and performance. Considering BMW’s long history as an automaker, such appears to be a big sign of hubris. And at this point in the EV race, that could be very costly.

BMW is one of three prolific auto houses in Germany, and so far, it is the one that seems to be lagging behind the most when it comes to electric vehicles. Daimler may be seeing challenges with the Mercedes-Benz EQC, but the company has some fallback in the company’s electric trucks like the Freightliner eCascadia, which only has a few rivals like the Tesla Semi.
Volkswagen has adopted a very aggressive strategy with its EV push. So serious is VW with its electric cars that the company’s CEO, Herbert Diess, is pretty much putting his career on the line to ensure that the automaker can roll out a mass-produced vehicle like the ID.3, a car that has the potential to be this generation’s Beetle. And then there’s BMW, still with its concepts, and a Model 3 competitor that is still over a year away at the best case scenario.
The term “Tesla Killer” has become ubiquitous with the number of electric cars that are being developed by legacy automakers. Yet over the years, each and every one of these alleged killers, from the Chevy Bolt to the Jaguar I-PACE, have proven to be incapable of outgunning Tesla’s electric cars in their own game. For the i4 to be a legitimate rival to the Model 3, it must beat Tesla with not just its badge’s pedigree. Otherwise, BMW may end up killing its “Tesla Killer” even before it had a chance to compete, thanks to an EV effort that is uninspired at best.
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.
News
Tesla Cybercab launch preparations have begun
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
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.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
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.
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.
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.
