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Advancement in nuclear fusion tech continues transition to clean energy future
The development of unlimited, carbon-neutral, and safe energy through nuclear fusion is expanding around the world, and scientists at the Atomic Energy Authority in the United Kingdom (AEA) have recently cleared one more key hurdle to making it a commercial reality: exhausting gas that’s hotter than the Sun. The hot plasma created during fusion power generation needs to cool down as it’s being used, but at its extreme temperatures, there aren’t any materials available to withstand the heat. Now, that problem appears to have been solved.
The AEA team’s answer to the heat issue is a “sacrificial wall” design which will require replacement every few years. Plasma will be moved down a path within its fusion generator’s holding device to cool it slightly before coming into contact with a specially designed wall for the remainder of the cooling process. However, even at a lower temperature, the heat will degrade the wall’s integrity over time and need to be changed. With the first nuclear fusion reactor set to turn on in seven years, AEA’s fusion exhaust system may be one of the developments that keeps it on schedule.
It’s said that imitation is the sincerest form of flattery, and recent fusion energy developments show that sentiment’s considerations don’t remain within the bounds of Earth. At about 90 million miles away, our Sun is essentially a fusion reactor in the sky, its large size creating enough gravity to force atoms together at its core and release massive amounts of energy. Artificially reproducing the conditions needed for this kind of generation is tough, but the attempt has been going on since the 1960s. The AEA is representative of one agency in a global endeavor.
The most advanced nuclear fusion project today is ITER, the International Nuclear Fusion Research experimental reactor in southern France, which hosts scientists from 35 countries dedicated to achieving the first ever positive fusion energy production. Their device is called a “tokamak”, and its structure is something like a flattened donut (torus) encapsulated by rings of powerful magnetic coils. The magnetic fields generated by the coils both suspend the plasma created by extreme heat and squeeze the plasma into a small space to create the fusion reactions. ITER is scheduled to turn its reactor on in 2025.
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- A visualization of the ITER tokamak in operation.| Credit: ITER.org/Jamison Daniel, Oak Ridge Leadership Computing Facility
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- A computer-animated visualization of the ITER tokamak in operation. | Credit: ITER.org
Creating fusion in a laboratory involves two primary parts: 1) creating plasma, a soup of electrons and nuclei released from their atomic structures due to extremely high temperatures; and 2) merging the nuclei of two different types of atoms, generally different forms of hydrogen. The heat in a tokamak is generated from both the magnetic field movement and external heating devices, and the nuclei merge is achieved by squeezing the plasma using those same magnetic fields into a constricted area to encourage collisions. Essentially, the high heat excites the atomic particles, speeding their motion, and their energetic movements within the magnetically confined area significantly increases the likelihood the nuclei will crash and fuse together. When this fusion occurs, a massive amount of energy is released, the object of desire for all involved in this field of research.
The amount of heat needed to convince atoms to release their electrons and form plasma is in the range of millions of degrees Celsius, the core of the Sun itself being 15 million degrees. Without high gravity to aid with squeezing plasma, as in the Sun’s case at 27 times the gravity of Earth, reactors on our planet need to heat well beyond the Sun’s temperature to ensure the atomic particles in the plasma collide and fuse. ITER’s tokamak heats to 100 million degrees Celsius.
All of this heating and magnetic control requires its own energy input, and this is where the current state of fusion energy development is focused. The ratio of energy used and energy produced is called “Q”, the desired amount aimed for by scientists in the field being 10:1. When ten times the energy is produced by nuclear fusion than used to produce it, it will have advanced to a level ready for further development as an alternative power source, or so goes the thinking. ITER’s specific goal is to produce 500 MW of fusion power from 50 MW of heating power.
Once energy is released from the fusion process, it can then be captured to create steam to power generators currently using other power sources such as coal and natural gas. This is another benefit purported benefit of fusion power; it can plug directly into existing power grids, minimizing any disruptions or requirements for new equipment. Combined with the abundant availability of hydrogen and the lack of greenhouses gases or radioactive waste, there are high hopes for fusion’s future as an all-in-one energy solution.
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.
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.
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 crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
