News
Watch Tesla’s Model 3 spank the BMW M3 in head-to-head track test (VIDEO)
Popular auto magazine Top Gear recently published its most daring cover in years, declaring in boldface lettering that “Electric Beats Petrol.” Two high-performance sedans dominated the cover: the Tesla Model 3 Performance and the BMW M3, both of which represent the best that their class of vehicles has to offer. The publication has now released footage of the two cars’ tests, showing, in their full electric vs. petrol glory, just how much the Model 3 practically spanked the BMW M3.
The recently uploaded video covered the four tests that the Model 3 Performance and the M3 were subjected to. Both vehicles were driven by veteran auto journalist Jack Rix (who admits that he is not a professional racing driver, thereby representing the majority of people who own the two high-performance sedans), who took the Model 3 and the M3 around the Thunderhill Raceway in Willows, CA. It should be noted that the BMW M3 that Top Gear utilized for its tests was not equipped with the Competition package, to make the prices of the two cars line up better.
The two vehicles being subjected to a classic quarter-mile drag race, a 0-100-0 mph brake test, a time attack challenge around the Thunderhill track, and a drifting test. The drag race between the Model 3 and the M3 was not even a competition, with the all-electric sedan leaving the internal combustion-powered BMW in the dust. The Model 3 Performance finished the drag race in 11.9 seconds at 112.6 mph, significantly faster than the BMW M3’s 119.1 mph and 12.6-second time. The 0-100-0 mph braking test ended in a similar fashion, with the Tesla Model 3 drawing blood once more with 13.1 seconds compared to the BMW M3’s 13.8 seconds.
The main event of the magazine’s test was a hot lap around Thunderhill. The Top Gear journalist utilized Track Mode for the Model 3, allowing him to maneuver the rather heavy vehicle around the race course’s corners. The Model 3 Performance ultimately completed a lap around the track in 1:34.07. The BMW M3 roared through the closed circuit, and though the vehicle weighed considerably less than the Model 3, the German high-performance sedan completed the lap in 1:35.96.
The BMW did shine against the Model 3 in Top Gear‘s drifting test, as the M3 was dubbed by the veteran journalist as the more fun car to throw around the track’s corners. Despite this win, the test still ended with the Tesla Model 3 getting three wins out of four against the BMW M3. In conclusion, the journalist notes that between the two vehicles, the Model 3 is superior in many fronts, though he would still take the BMW M3 around a track due to its nimble characteristics. Nevertheless, the Model 3’s capability to tear up a closed circuit and remain refined enough on the road is something that is remarkable.
While the conclusions of Top Gear‘s head-to-head test between the Tesla Model 3 Performance and the BMW M3 are bound to be polarizing, the all-electric sedan’s wins against the internal combustion champion stand as a pivotal moment for auto enthusiasts. Gone are the days when electric cars are slow and unattractive, and gone are the days when even premium EVs can’t even make it around a track without throttling their power. Tesla has leveled the playing field with the Model 3 Performance, and as these tests show, the plain superiority of electric propulsion is now starting to become quite evident.
Watch the Tesla Model 3 Performance and the BMW M3 battle it out in four tests in the video below.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
