News
Stanford studies human impact when self-driving car returns control to driver
Researchers involved with the Stanford University Dynamic Design Lab have completed a study that examines how human drivers respond when an autonomous driving system returns control of a car to them. The Lab’s mission, according to its website, is to “study the design and control of motion, especially as it relates to cars and vehicle safety. Our research blends analytical approaches to vehicle dynamics and control together with experiments in a variety of test vehicles and a healthy appreciation for the talents and demands of human drivers.” The results of the study were published on December 6 in the first edition of the journal Science Robotics.
Holly Russell, lead author of study and former graduate student at the Dynamic Design Lab says, “Many people have been doing research on paying attention and situation awareness. That’s very important. But, in addition, there is this physical change and we need to acknowledge that people’s performance might not be at its peak if they haven’t actively been participating in the driving.”
The report emphasizes that the DDL’s autonomous driving program is its own proprietary system and is not intended to mimic any particular autonomous driving system currently available from any automobile manufacturer, such as Tesla’s Autopilot.
The study found that the period of time known as “the handoff” — when the computer returns control of a car to a human driver — can be an especially risky period, especially if the speed of the vehicle has changed since the last time the person had direct control of the car. The amount of steering input required to accurately control a vehicle varies according to speed. Greater input is needed at slower speeds while less movement of the wheel is required at higher speeds.
People learn over time how to steer accurately at all speeds based on experience. But when some time elapses during which the driver is not directly involved in steering the car, the researchers found that drivers require a brief period of adjustment before they can accurately steer the car again. The greater the speed change while the computer is in control, the more erratic the human drivers were in their steering inputs upon resuming control.
“Even knowing about the change, being able to make a plan and do some explicit motor planning for how to compensate, you still saw a very different steering behavior and compromised performance,” said Lene Harbott, co-author of the research and a research associate in the Revs Program at Stanford.
Handoff From Computer to Human
The testing was done on a closed course. The participants drove for 15 seconds on a course that included a straightaway and a lane change. Then they took their hands off the wheel and the car took over, bringing them back to the start. After familiarizing themselves with the course four times, the researchers altered the steering ratio of the cars at the beginning of the next lap. The changes were designed to mimic the different steering inputs required at different speeds. The drivers then went around the course 10 more times.
Even though they were notified of the changes to the steering ratio, the drivers’ steering maneuvers differed significantly from their paths previous to the modifications during those ten laps. At the end, the steering ratios were returned to the original settings and the drivers drove 6 more laps around the course. Again the researchers found the drivers needed a period of adjustment to accurately steer the cars.
The DDL experiment is very similar to a classic neuroscience experiment that assesses motor adaptation. In one version, participants use a hand control to move a cursor on a screen to specific points. The way the cursor moves in response to their control is adjusted during the experiment and they, in turn, change their movements to make the cursor go where they want it to go.
Just as in the driving test, people who take part in the experiment have to adjust to changes in how the controller moves the cursor. They also must adjust a second time if the original response relationship is restored. People can performed this experiment themselves by adjusting the speed of the cursor on their personal computers.
“Even though there are really substantial differences between these classic experiments and the car trials, you can see this basic phenomena of adaptation and then after-effect of adaptation,” says IIana Nisky, another co-author of the study and a senior lecturer at Ben-Gurion University in Israel “What we learn in the laboratory studies of adaptation in neuroscience actually extends to real life.”
In neuroscience this is explained as a difference between explicit and implicit learning, Nisky explains. Even when a person is aware of a change, their implicit motor control is unaware of what that change means and can only figure out how to react through experience.
Federal and state regulators are currently working on guidelines that will apply to Level 5 autonomous cars. What the Stanford research shows is that until full autonomy becomes a reality, the “hand off” moment will represent a period of special risk, not because of any failing on the part of computers but rather because of limitations inherent in the brains of human drivers.
The best way to protect ourselves from that period of risk is to eliminate the “hand off” period entirely by ceding total control of driving to computers as soon as possible.
News
Tesla opens Supercharging Network to other EVs in new country
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla has started opening its Supercharging Network, which is the most expansive in the world, to other EVs in a new country for the first time.
After expanding its Supercharging offerings to other car companies in the United States a few years ago, Tesla is still making the move in other markets, as it aims to make EV ownership easier for everyone, regardless of what manufacturer a consumer chose to purchase from.
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla just added a cool new feature for leaving your charger at home or even leaving the Supercharger pic.twitter.com/iw0SDrWuX6
— TESLARATI (@Teslarati) March 10, 2026
Now, Tesla is expanding access to the Supercharger Network to non-Tesla EVs in Malaysia. The automaker just opened up a charging stie at the Pavilion KL Mall in Kuala Lumpur to non-Tesla owners, giving them eight additional Superchargers to utilize with a charging speed of up to 250 kW.
Tesla is also opening up the four-Supercharger site in Shah Alam, a four-Supercharger site at the IOI City Mall, and a six-Supercharger site in Gamuda Cove Township.
Electrive first reported the opening of these Superchargers in Malaysia.
The initiative from Tesla helps make EV ownership much simpler for those who only have access to third-party charging solutions or at-home charging. While at-home charging is the most advantageous, it is not an end-all solution as every driver will eventually need to grab some range on the road.
Tesla has been offering its Superchargers to non-Tesla EVs in the United States since 2024, as Ford became the first company to gain access to the massive network early that year when CEO Elon Musk and Ford frontman Jim Farley announced it together. Since then, Tesla has offered its chargers to nearly every EV maker, as companies like Rivian and Lucid, and even legacy car companies like General Motors have gained access.
It’s best for everyone to have the ability to use Tesla Superchargers, but there are of course some growing pains.
Charging cables are built to cater to Tesla owners, so pull-in Superchargers are most advantageous for non-Tesla EVs currently, but the company’s V4 Superchargers, which are not as plentiful in the U.S. quite yet, do enable easier reach for those vehicles.
News
Tesla Semi expands pilot program to Texas logistics firm: here’s what they said
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Tesla has expanded its Semi pilot program to a new region, as it has made it to Texas to be tested by logistics from Mone Transport. With the Semi entering production this year, Tesla is getting even more valuable data regarding the vehicle and its efficiency, which will help companies cut expenditures.
Mone Transport operates in Texas and on the Southern border, and it specializes in cross-border U.S.-Mexico freight operations. After completing some rigorous testing, Mone shared public results, which stand out when compared to efficiency metrics offered by diesel vehicles.
“Mone Transport recently had the opportunity to put the Tesla Semi to the test, and we’re thrilled with the results! Over 4,700 miles of operations at 1.64 kWh/mile in our Texas operation. We’re committed to providing zero-emission transportation to our customers!” the company said in a post on X.
🚨 Mone Transport just recorded an extremely impressive Tesla Semi test:
1.64 kWh per mile over 4,700 miles! https://t.co/xwS2dDeomP pic.twitter.com/oLZHoQgXsu
— TESLARATI (@Teslarati) March 10, 2026
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Comparable Class 8 diesel semis, typically achieving 6-7 miles per gallon, consume roughly 5.5 kWh per mile in energy-equivalent terms, meaning the Semi uses three to four times less energy while also producing zero tailpipe emissions.
Tesla Semi undergoes major redesign as dedicated factory preps for deliveries
The performance of the Tesla Semi in Mone Transport’s testing aligns with data from other participants in the pilot program. ArcBest’s ABF Freight Division logged 4,494 miles over three weeks in 2025, averaging 1.55 kWh per mile across varied routes, including a grueling 7,200-foot Donner Pass climb. The truck “generally matched the performance of its diesel counterparts,” the carrier said.
PepsiCo, which operates the largest known Semi fleet, recorded 1.7 kWh per mile in North American Council for Freight Efficiency testing. Additional pilots showed similar gains: DHL hit 1.72 kWh per mile, and Saia achieved 1.73 kWh per mile.
These metrics underscore the Semi’s ability to slash operating costs through superior efficiency, lower maintenance, and zero-emission operation. As charging infrastructure scales and production ramps toward 2026 targets, participants like Mone Transport are proving electric semis can seamlessly integrate into freight networks, accelerating the industry’s shift to sustainable, high-performance trucking.
Tesla continues to prep for a more widespread presence of the Semi in the coming months as it recently launched the first public Semi Megacharger site in Los Angeles. It is working on building out infrastructure for regional runs on the West Coast initially, with plans to expand this to the other end of the country in the coming years.
Elon Musk
SpaceX weighs Nasdaq listing as company explores early index entry: report
The company is reportedly seeking early inclusion in the Nasdaq-100 index.
Elon Musk’s SpaceX is reportedly leaning toward listing its shares on the Nasdaq for a potential initial public offering (IPO) that could become the largest in history.
As per a recent report, the company is reportedly seeking early inclusion in the Nasdaq-100 index. The update was reported by Reuters, citing people familiar with the matter.
According to the publication, SpaceX is considering Nasdaq as the venue for its eventual IPO, though the New York Stock Exchange is also competing for the listing. Neither exchange has reportedly been informed of a final decision.
Reuters has previously reported that SpaceX could pursue an IPO as early as June, though the company’s plans could still change.
One of the publication’s sources also suggested that SpaceX is targeting a valuation of about $1.75 trillion for its IPO. At that level, the company would rank among the largest publicly traded firms in the United States by market capitalization.
Nasdaq has proposed a rule change that could accelerate the inclusion of newly listed megacap companies into the Nasdaq-100 index.
Under the proposed “Fast Entry” rule, a newly listed company could qualify for the index in less than a month if its market capitalization ranks among the top 40 companies already included in the Nasdaq-100.
If SpaceX is successful in achieving its target valuation of $1.75 trillion, it would become the sixth-largest company by market value in the United States, at least based on recent share prices.
Newly listed companies typically have to wait up to a year before becoming eligible for major indexes such as the Nasdaq-100 or S&P 500.
Inclusion in a major index can significantly broaden a company’s shareholder base because many institutional investors purchase shares through index-tracking funds.
According to Reuters, Nasdaq’s proposed fast-track rule is partly intended to attract highly valued private companies such as SpaceX, OpenAI, and Anthropic to list on the exchange.
Tesla opens Supercharging Network to other EVs in new country
Tesla Semi expands pilot program to Texas logistics firm: here’s what they said
