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Tesla’s ‘Big Green’ Semi truck gets a shoutout from Kimbal Musk

[Credit: Kimbal Musk/Instagram]

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The Tesla Semi recently got a shoutout from someone who is part of Elon Musk’s most intimate circle — Kimbal Musk. In a recent post on his Instagram page, Kimbal dubbed the electric long-hauler as a “Big Green” Tesla Semi, referencing his nonprofit organization aimed at building Learning Gardens for schools across the United States.

Quite interestingly, Kimbal Musk’s projects, such as Big Green and Square Roots, could benefit from using the Tesla Semi. Big Green, for one, is involved with building interactive, modular gardens where young American students can learn about real food and healthy eating habits. Considering Kimbal Musk’s goal of building 100,000 Learning Gardens across the US, having an electric truck that can haul materials would be a good idea.

The Tesla Semi is also a perfect match for Kimbal’s Square Roots farming project. Square Roots involves converting old shipping crates into advanced, climate-controlled indoor farms that can yield more than 50 pounds of organic, non-GMO, pesticide-free greens each week. So far, Square Roots is only operating its shipping container-farms in Brooklyn, NY, but it’s not too difficult to see a future where the farming startup’s indoor farms can be transported and set up in other key US cities.

https://www.instagram.com/p/Bj4v7w4Apa6/?taken-by=kimbalmusk

Since being unveiled last November, the Tesla Semi has been sighted numerous times across the United States. Back in March, Elon Musk announced in his social media pages that Tesla would start using the all-electric trucks as transport vehicles to haul battery packs from Gigafactory 1 in Sparks, NV to the Fremont factory in CA. The two Tesla Semi prototypes have also been spotted conducting transport runs between Tesla’s headquarters in Palo Alto, CA and Fremont.

During its unveiling back in November, Elon Musk outlined several of the Semi’s impressive specs. Just like Tesla’s other vehicles, the Semi is capable of quick acceleration, thanks to its four Model 3-derived electric motors that produce instant torque. From a dead stop, the Semi is capable of sprinting from 0-60 mph in just 5 seconds, compared to about 15 seconds on a similar Class 8 diesel truck. With a full 80,000-pound load, the Semi can hit 60 mph in 20 seconds. On average, diesel-powered Class 8 trailers hit highway speeds in about a minute.

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The Tesla Semi is capable of climbing 5% grades at a steady 65 mph, unlike diesel trucks that max out at 45 mph on 5% grades. Lastly, thanks to an upcoming network of Megachargers, the Semi will be capable of charging up to 400 miles of range in just 30 minutes.

The interior of the Tesla Semi as spotted during the 2018 Annual Shareholder Meeting. [Credit: TeslaModel11/Reddit]

During Tesla’s Q1 2018 earnings call, both Elon Musk and CTO JB Straubel noted that the production version of the Semi’s long-range variant would likely have almost 600 miles of range per charge. These statements, of course, stand in stark contrast to criticisms from Tesla’s competitors, especially Daimler AG head of trucks Martin Daum, who threw shade at Tesla earlier this year by suggesting that the Semi’s rated specs, if accurate, defy the laws of physics. According to Straubel, much of competitors’ criticisms come from a misunderstanding of Tesla’s battery technology.

“There’s a fundamental misunderstanding, I think, of what the current technology in our existing products can actually do. Maybe that’s just a misunderstanding of the current status of the technology versus others in the industry. If they’re benchmarking sort of the best battery pack they can buy from a supplier, and then mapping that with what the Semi could do, it doesn’t solve,” Straubel said.

While Tesla is not actively pushing sales for the Semi, Straubel noted during the first-quarter earnings call that the all-electric long-hauler has roughly 2,000 reservations to date. Production of the Tesla Semi is expected to begin in 2019.  

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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