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Tesla’s Elon Musk hailed as ‘Disruptor of the Year’ in Detroit, but Model 3 misses awards
Tesla might not be a participant in the North American International Auto Show on Monday, but Elon Musk’s presence could still be felt in the event. During the CNET Roadshow Shift Awards, Musk was named as “Disruptor of the Year,” beating out the CEOs of other companies such as McLaren Automotive and Bird, an electric scooter-share startup.
Chris Paukert, executive editor of the auto publication, noted that the Disruptor of the Year award is based on the person who caused the most ripples in the auto industry during the past year. In this sense, there is very little doubt that Musk was the definite choice, considering his well-publicized challenges and successes with the Model 3 ramp, as well as his daring, out-of-the-box strategies that ultimately brought Tesla into the green in Q3.
“This award is all about pushing the industry forward and leaving a lasting impact on the future of the automotive industry. Elon Musk fits that bill to a T. After smoothing out its production process, Tesla once again proved profitable. The Model 3 quickly launched itself to prominence in an already busy segment, and buyers themselves could feel the effects of those launches thanks to its wild Performance variant. Hell, he even made tunnels interesting,” CNET‘s Tim Stevens wrote.

While the auto publication granted Elon Musk an award, though, Tesla’s latest and most disruptive vehicle to date — the Model 3 — was strangely absent from the auto publication’s rankings. CNET Roadshow, for one, awarded the Genesis G70, a car that has received acclaim from critics and consumers alike, as Vehicle of the Year. Finalists for the award were the Jaguar I-Pace and Volvo S60/V60. The award for Cabin Tech of the Year was also granted to Audi’s MMI touch response system, with the finalists being Mercedes-Benz’ MBUX infotainment system and Ram’s Uconnect 12 technology.
That said, Tesla’s technology did make an appearance in the Roadshow Shift Awards’ other categories. Roadshow‘s Driveline Tech of the Year award, for one, was given to Nissan and Infiniti’s variable compression turbo, though finalists included Hyundai’s Kona electric powertrain and Tesla’s all-wheel-drive performance powertrain. Together with GM’s advance trailering system with apps, Tesla’s Navigate on Autopilot update was listed as a finalist in Safest Tech of the Year award as well. Audi’s drive-assistance package, though, ultimately bagged the award for Safety Tech of the Year.
The absence of the Model 3 in the CNET Roadshow Shift Awards is quite notable, considering that the electric sedan has received wide acclaim from professional reviewers, auto veterans like Sandy Munro, and owners alike. Tesla’s UI for its vehicles, which the company develops in-house, is also among the best in the market, with the system at times being compared to Apple’s iOS. As such, it is quite interesting to see Tesla be beaten by legacy auto in areas where it otherwise excels, such as cabin tech.

That said, it’s not like the Tesla Model 3 is being ignored by legacy auto either. Late last month, for example, 30-year auto news veteran and longtime car enthusiast Henry Payne dubbed the Tesla Model 3 as The Detroit News‘ 2018 Car of the Year. This was despite Payne only experiencing the capabilities of a Long Range RWD Model 3, a tamer version of the electric car compared to the range-topping, track-optimized Model 3 Performance. Following the Tesla Model 3 were the Ford Ranger and the Chevy Corvette ZR1, which were listed as the 2nd and 1st runner up for The Detroit News‘ 2018 Car of the Year award.
The past year has been notably impressive for the Model 3. Over 2018, 145,846 Model 3 were sold, despite Tesla being challenged with the electric sedan’s production during Q1 and Q2. With these sales figures, the Model 3 became the United States’ best-selling luxury vehicle, far overtaking its closest rival — the Lexus RX, which sold 111,641 in 2018. Tesla is not done, either, as the company intends to continue the electric sedan’s ramp all the way to 10,000 units per week.
It should be noted that the Model 3 has been showing these impressive numbers despite the vehicle only being available in the United States and Canada. This year, Tesla intends to bring the car to the international stage, starting with Europe and China, both of which represent a potentially lucrative market for the electric sedan. Tesla for one, is reportedly shipping 3,000 Model 3 per week to the European region starting in February. In China, Model 3 reservation holders who have configured their vehicles are expecting deliveries on March or April. By the end of the year, Tesla is set to roll out more affordable versions of the electric sedan to the local Chinese market, thanks to the vehicle production capabilities of Gigafactory 3.
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Tesla Robotaxi will be a 24/7 service: here’s when
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.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
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.
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
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.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
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.
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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Tesla Cybercab launch catches NHTSA’s attention who wants to know more
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.

Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.