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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.
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
