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Tesla Model 3 impresses former rally champion after high-speed testing
After conducting high-speed tests of the Tesla Model 3 Performance and evaluating its potential as a rally car, professional driver and former champion Wyatt Knox realized that the electric sedan could be a game changer. In a conversation with Teslarati, Knox described the Model 3 Performance as a “fantastic” car, thanks to its dual motors, its Track Mode feature, and its superb handling.
Wyatt Knox, a former rally champion who currently works as the special projects director of the Team O’Neil Rally School in New Hampshire, stated that the Model 3 Performance’s dual motors are a difference-maker, allowing the electric car to “do a lot of things that a normal AWD car cannot.” It should be noted that Knox’s point of comparison in this statement is conventional rally cars, which are already frighteningly powerful in their own right. Rally cars, for one, are famed for their brutal acceleration, allowing them to reach highway speeds in unpaved terrain.
“Because of the dual motors, (the Model 3 Performance) can infinitely vary the amount of drive to the front and rear however much it is programmed to, based on your steering angle, throttle position, brake position, yaw sensor, wheel speed sensors, (and) probably more that I’m not even aware of. A Subaru or an Audi or something with one engine driving a normal transmission and center diff cannot do that,” Knox stated.
Coupled with Track Mode, which was engaged during the high-speed tests, Tesla’s dual motor system allowed for superb handling of the Model 3 Performance in the challenging, icy rally course. Referring to the car’s potential for rallying later, Knox remarked that if Tesla eventually allows owners to “tune” their vehicles by allowing them to adjust their cars’ settings, it could open up a lot of doors for the top-trim Model 3 to perform even more impressively.
“The Tesla dual motor (system) could theoretically be 100% front wheel drive, 100% rear wheel drive, or any mix of the two. That’s not how it’s really programmed to work, but that’s the tech it’s based on. That opens a LOT of really interesting doors. If you could plug in and ‘tune’ the system to your application, yeah, that would be would be a game changer,” the rally driver wrote.
Elon Musk actually mentioned a rather similar feature in an interview with YouTube tech reviewer Marques Brownlee last year. During his conversation, Musk described Track Mode’s capabilities, comparing the feature to an “expert user mode” for a computer. Musk noted that with Track Mode enabled, drivers would be able to “overclock” their electric cars’ performance.
“Track Mode will open up a lot of settings. You can adjust settings, and it’s kinda like an ‘Expert User Mode.’ You can sort of adjust traction control, adjust battery temperature. You can basically configure a bunch of things, and it will tell you, like ‘Hey, you know if you do this, it’s a bit risky. You’re gonna wear out your brakes sooner; you might blow a circuit.’ But like, it’ll be clear — like, you know, this is the risk you’re taking. It’s kinda like if you have a graphics card in a computer. You can go in there and change the settings and you can overclock things,” Musk said.
By the end of his session with the electric sedan, Knox observed that the Model 3 performed very well, especially since the vehicle’s only optimization were its Pirelli Sottozero winter tires. Despite the intensive testing sessions having been conducted in single-digit weather, Knox observed that the Model 3 Performance’s battery consumption during the tests was nominal as well.
The idea of utilizing an electric vehicle for rally events is already part of the World Rally Championship’s roadmap. Earlier this month, the WRC announced that it would be moving forward with an electric or hybrid solution from 2022. With this in mind, the sight of the Model 3 Performance ripping through the woods, in loose gravel and snow, might eventually be commonplace. For the former champion, at least, the idea of using the Model 3 Performance as a rally car is definitely a welcome thought.
The Model 3 and its Track Mode has already been proven on the track. In a recent segment, for example, Chinese auto group Know the Car tested the Model 3 Performance on the racetrack, pitting it against fellow electric cars, high-performance sedans, and supercars. The Model 3 Performance dominated in straight line acceleration in the group’s tests. In actual track tests, the Model 3 Performance proved competitive, beating similar class cars, the BMW M3 and the Mercedes-AMG C63, around the track.
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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.
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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
