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Tesla Semi ‘speed & agility’ praised by professional driver after electric truck encounter

[Credit: Emile Bouret/Instagram]

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The Tesla Semi is currently traveling across the United States to gather real-world data and refine its systems before it gets released next year. Tesla seems to have brought the Semi over to be test driven by professional driver and 28-year auto veteran Emile Bouret recently as well, who walked away from the experience thoroughly impressed.

Emile Bouret is a professional test driver who has worked with Tesla for years. Bouret is a close friend of Tesla chief designer Franz von Holzhausen, and he has been asked to test drive the company’s vehicles from the Model S to the original Tesla Roadster. He was also the man who conducted test drives in the next-generation Tesla Roadster during the vehicle’s unveiling last November.

The professional driver recently posted an update on his Instagram about the Tesla Semi, lauding the electric long-hauler for its speed and agility, stating that the truck’s performance is practically at odds with its size. Bouret’s caption on his Instagram post suggests that he actually got some hands-on time with the electric long-hauler.

The Tesla Semi gets test driven. [Credit: Emile Bouret/Instagram]

“Blurring The Line | Coworker Edition – I’m clearly very lucky to do what I do & to work with many talented people. As if they could ever be overlooked, the inanimate coworkers I get to work with also tend to be incredibly capable. And that was certainly true with this one, which made a surprise appearance at a recent work site. To see this thing coming down the road in near silence & with speed & agility seemingly at odds with something of its size makes you feel as if you’re living in the future. Kickass cool & crazy in equal measure… the Tesla Semi.”

Tesla loves bending the rules of markets that it disrupts. When the company started selling cars, its business model did away with dealerships, shaking the very idea of how brand new cars are sold. When it seemed like GA3 would not be enough to build 5,000 Model 3 per week by the end of Q2 2018, Tesla built another assembly line inside a sprung structure at the grounds of the Fremont factory.

Now, Tesla is attempting to break into another market that is ripe for disruption — the American trucking industry — and its weapon of choice is the Tesla Semi. The Tesla Semi, just like CEO Elon Musk and the company itself, has attracted its own set of disbelievers and critics. Martin Daum, Daimler’s head of trucks, even suggested that the Tesla Semi defies the laws of physics, considering the specs announced by Musk. Jon Mills, a spokesman for engine maker Cummins Inc., largely dismissed the electric truck and its chances at the long-haul market as well, citing weak demand.

That has not stopped Tesla from pushing the Semi, though. Over the past few weeks, multiple sightings of the Semi have been reported across the United States, and during this time, the vehicle was seen visiting some of the companies that placed pre-orders for the long-hauler. Among these are UPS, J.B. Hunt, and Ruan Transportation Management Systems, all of which shared their enthusiasm for the truck online.

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Just like Tesla’s other vehicles, the Semi is designed to be a long-hauler that could be driven well. This is a trademark of all Tesla electric cars to date, as the Model S, Model X, and Model 3 have all been hailed for their ride and drive. The vehicles themselves might attract criticism over their design (such as the Model X’s overcomplicated Falcon Wing Doors and the first-production Model 3’s build quality), but when it comes to drivability and performance, Tesla’s electric cars usually pass with flying colors.

This is what happened with the Model 3 during Detroit veteran Sandy Munro’s teardown and analysis of the vehicle. Munro spared no criticism when he talked about the Model 3’s panel gaps and overall build quality, but when he actually drove the electric sedan, he was impressed. Munro later noted that the person who tuned the suspension for the Model 3 could easily have been an “F1 Prince” — no small compliment coming from a man with decades of experience in the auto industry.

If Emile Bouret’s praise for the Tesla Semi is any indication, it appears that the electric long-hauler would be able to impress even its staunchest critics when it comes to the way it drives and its overall performance. Tesla, after all, has noted that it is in the process of improving the truck before it enters mass production. Elon Musk has already teased that the long-range variant of the vehicle will have closer to 600 miles of range. Making the Telsa Semi impressive to drive is just more icing on the cake.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.

Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.

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The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.

The intervention is meant as a last-resort safety net, not a replacement for attentive driving.

Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.

After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.

The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.

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Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.

The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.

If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.

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