Toyota Chief Scientist and Toyota Research CEO Gill Pratt recently shared his thoughts about the climate crisis, as well as the need to reduce carbon emissions in the transportation sector. The executive is quite knowledgeable about sustainable vehicles, as evidenced by the three cars he currently owns: a Toyota Sienna Hybrid, a RAV4 Prime Plug-In Hybrid (PHEV), and an all-electric Tesla Model X.
In a post on Medium, Pratt urged readers to follow the science and acknowledge that a diversified approach to battling climate change is more preferable than a transition to pure electric cars like his Model X. The executive cited the cost of battery production, the need for natural resources, and the emissions of battery manufacturing as reasons for his stance. He also noted that while he loves his 300-mile Model X, his vehicle’s large battery is pretty much wasted on an everyday basis since its range is usually not utilized fully.
“I love my Tesla Model X BEV. But commuting 30 miles in it every day — the average US commute — and recharging it every night is wasteful of the carbon reducing potential of most of its over 300 mile range battery. Sometimes we take the Tesla on long trips. But most of the time, 90% of its battery cells aren’t doing any good, and would reduce carbon much more if they were harder at work in other types of electrified vehicles, including HEVs or PHEVs,” the Toyota Research CEO wrote.
With this in mind, Pratt argued that it would be more efficient if batteries are distributed to more “right-sized” electrified vehicles instead, including hybrids and PHEVs. The cells that could go on one Tesla, for example, could instead be used for several electrified cars. “We hardly ever put gas into our RAV4 Prime PHEV, which has a battery ⅙ as large as our Model X BEV. For the same investment in batteries as our single Model X, five other RAV4 Prime customers could reduce their carbon footprint too,” Pratt explained.
The Toyota executive did note that he is a proponent for increased battery production, the lowering of the carbon footprint of electric power plants, and the expansion of rapid charging stations. However, Patt also argued that in many countries, a lot of the easier carbon reduction of electric power plants had already been achieved by converting them to natural gas, effectively lowering their carbon output by half. Replacing the plants with new nuclear, wind, and solar facilities would be more difficult and more costly, added the Toyota Research CEO.
Ultimately, Pratt noted that he and Toyota believe that the transition to pure electric vehicles, such as those planned in Europe and areas like China, is not the right way to battle climate change. He then noted that in the fight for sustainability, carbon should be seen as the enemy, not the internal combustion engine, as PHEVs and hybrids would, in some parts of the world, generate comparable or even less emissions than pure electric cars.
“I believe, as does Toyota, that it would be a tremendous mistake for governments around the world to prescribe narrow solutions like insisting that all vehicles be BEVs. Instead, the better solution is to allow manufacturers to innovate across a diversity of drivetrains and drivers to choose the low-carbon drivetrain that suits their circumstances best,” he wrote.
While the Toyota Research CEO’s points are notable, the scientist did neglect to mention several developments that are currently ongoing in the battery sector. Battery production costs are going down at a rapid pace, with EVs closing in on price parity with their internal combustion-powered counterparts. The emissions of battery production are expected to be improved over time too, as companies like Tesla innovate and adopt more sustainable technologies such as cobalt-free batteries. Large batteries such as those used in the Toyota executive’s Model X are likely not wasted either despite not being used for their maximum range every day. Battery recycling technologies such as those being developed by Redwood Materials, which is aimed at creating a closed-loop battery supply chain, play a role in making batteries more sustainable as well.
Toyota Research CEO Gill Pratt’s points could be read here.
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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.
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.
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.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
