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Tesla Model 3 Performance takes on supercars, high-performance sedans in track battle
When Elon Musk first announced the specs of the Tesla Model 3 Performance, he noted that the electric car would beat anything on its class inside a closed circuit. With its dual motors that produced a combined 450 hp and 471 lb-ft of torque, its 0-60 mph time of 3.5 seconds, and its top speed of 155 mph, Musk noted that the top variant of the Model 3 would cost roughly the same as a BMW M3, but be “15% quicker and with better handling.”
It should be noted that Musk mentioned the Model 3 Performance’s comparison with the BMW M3 at a time when Tesla was yet to reveal that it was developing a dedicated Track Mode for the electric sedan. With Track Mode, which optimizes the car for intensive closed circuit driving, the Model 3 Performance becomes a very formidable car on the racetrack. Over the past months, videos of the Model 3 Performance that have been shared online have mostly featured the vehicle competing in drag races or going around race tracks on its own. Rarely has there been a test of the car competing on a closed circuit against other high-performance vehicles.
That is, until recently, when Chinese auto group Know the Car (credit to Tesla community member JayinShanghai for sharing the video) opted to test the Model 3 Performance against several notable competitors. The group selected three groups of vehicles that would compete against the electric car — Chinese-made EVs, the NIO ES8 and the BYD唐DM; high-performance sedans, the BMW M3 and the Mercedes-AMG C63; and supercars, the Nissan GT-R and the Ferrari 488 GTB.
The tests were conducted at the Goldenport Park Circuit in Beijing, China in -5°C (23°F) weather. In its first test, the group opted to test the Model 3 Performance’s acceleration. Thanks to the instant torque from its dual electric motors, the electric sedan soundly dominated its competitors. After beating the competition on the straight line test, the group opted to call a professional driver to see just how well the Model 3 Performance stacked up against the six other vehicles on the track.
It should be noted that Beijing’s Goldenport Park Circuit is a location that is known to favor cornering and technical driving over high-speed, straight-line acceleration. Thus, during the tests, the Model 3 Performance, with its Track Mode enabled, was driven hard from one corner to the other. When the track times of the six vehicles were compared, it became evident that Elon Musk’s words about the electric car were accurate.
At the bottom of the rankings were the two Chinese-made EVs, which is understandable considering that the NIO ES8 and the BYD唐DM were SUVs. Immediately following the two EVs was the BMW M3, which was able to complete a lap around the track in 01:22.67. The Mercedes-AMG C 63 fared better than the M3, finishing a lap in 01:20.23. True to Elon Musk’s words, the Tesla Model 3 Performance dominated its class, with its lap time of 01:18.62.
Only two vehicles proved faster than the Model 3 Performance around the track — the Ferrari 488 GTB, which finished a lap in 01:16.31, and the Nissan GT-R, which completed a lap in 01:15.23. As noted by the group that conducted the test, the Model 3 Performance was ultimately outgunned only by vehicles that are beyond its class and its price range (credit to David Jao for the translation).
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“The data doesn’t lie. China’s new electric entrants compared to the Model 3 are still far behind. The cars that we previously worshipped as high-end sedans, regretfully defeated. Only the supercars, costing 3-5 times the Model 3 remain to defend the honor of the internal combustion engine (ICE). So the appearance of the Model 3 brings forth a new kind of performance — cheaper, quieter, and even faster.”
The group’s statement about the prices of the Model 3’s rivals in the Chinese market is no exaggeration. Tesla lists the Model 3 Performance with a price of 560,000 RMB (around $81,000) for the Chinese market. While higher than its $64,000 price in the United States, the Model 3 Performance is still considerably more affordable than its rival high-performance sedans in the country. The BMW M3, for one, sells for 998,000 RMB ($162,000), while the Mercedes-AMG C 63 Coupe costs 1,198,000 RMB ($173,623). With its price in the Chinese market, Tesla all but made the Model 3 Performance as the ultimate bang-for-your-buck high-performance sedan — quicker, cleaner, and cheaper than the competition.
Watch the Tesla Model 3 Performance battle local high-performance sedans and supercars on the track in the video below.
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
