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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.
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Tesla launches new Model 3 financing deal with awesome savings
Tesla is now offering a 0.99% APR financing option for all new Model 3 orders in the United States, and it applies to all loan terms of up to 72 months.
Tesla has launched a new Model 3 financing deal in the United States that brings awesome savings. The deal looks to move more of the company’s mass-market sedan as it is the second-most popular vehicle Tesla offers, behind its sibling, the Model Y.
Tesla is now offering a 0.99% APR financing option for all new Model 3 orders in the United States, and it applies to all loan terms of up to 72 months.
It includes three Model 3 configurations, including the Model 3 Performance. The rate applies to:
- Model 3 Premium Rear-Wheel-Drive
- Model 3 Premium All-Wheel-Drive
- Model 3 Performance
The previous APR offer was 2.99%.
NEWS: Tesla has introduced 0.99% APR financing for all new Model 3 orders in the U.S. (applies to loan terms of up to 72 months).
This includes:
• Model 3 RWD
• Model 3 Premium RWD
• Model 3 Premium AWD
• Model 3 PerformanceTesla was previously offering 2.99% APR. pic.twitter.com/A1ZS25C9gM
— Sawyer Merritt (@SawyerMerritt) February 15, 2026
Tesla routinely utilizes low-interest offers to help move vehicles, especially as the rates can help get people to payments that are more comfortable with their monthly budgets. Along with other savings, like those on maintenance and gas, this is another way Tesla pushes savings to customers.
The company had offered a similar program in China on the Model 3 and Model Y vehicles, but it had ended on January 31.
The Model 3 was the second-best-selling electric vehicle in the United States in 2025, trailing only the Model Y. According to automotive data provided by Cox, Tesla sold 192,440 units last year of the all-electric sedan. The Model Y sold 357,528 units.
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Tesla hasn’t adopted Apple CarPlay yet for this shocking reason
Many Apple and iPhone users have wanted the addition, especially to utilize third-party Navigation apps like Waze, which is a popular alternative. Getting apps outside of Tesla’s Navigation to work with its Full Self-Driving suite seems to be a potential issue the company will have to work through as well.
Perhaps one of the most requested features for Tesla vehicles by owners is the addition of Apple CarPlay. It sounds like the company wants to bring the popular UI to its cars, but there are a few bottlenecks preventing it from doing so.
The biggest reason why CarPlay has not made its way to Teslas yet might shock you.
According to Bloomberg‘s Mark Gurman, Tesla is still working on bringing CarPlay to its vehicles. There are two primary reasons why Tesla has not done it quite yet: App compatibility issues and, most importantly, there are incredibly low adoption rates of iOS 26.
Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works
iOS 26 is Apple’s most recent software version, which was released back in September 2025. It introduced a major redesign to the overall operating system, especially its aesthetic, with the rollout of “Liquid Glass.”
However, despite the many changes and updates, Apple users have not been too keen on the iOS 26 update, and the low adoption rates have been a major sticking point for Tesla as it looks to develop a potential alternative for its in-house UI.
It was first rumored that Tesla was planning to bring CarPlay out in its cars late last year. Many Apple and iPhone users have wanted the addition, especially to utilize third-party Navigation apps like Waze, which is a popular alternative. Getting apps outside of Tesla’s Navigation to work with its Full Self-Driving suite seems to be a potential issue the company will have to work through as well.
According to the report, Tesla asked Apple to make some changes to improve compatibility between its software and Apple Maps:
“Tesla asked Apple to make engineering changes to Maps to improve compatibility. The iPhone maker agreed and implemented the adjustments in a bug fix update to iOS 26 and the latest version of CarPlay.”
Gurman also said that there were some issues with turn-by-turn guidance from Tesla’s maps app, and it did not properly sync up with Apple Maps during FSD operation. This is something that needs to be resolved before it is rolled out.
There is no listed launch date, nor has there been any coding revealed that would indicate Apple CarPlay is close to being launched within Tesla vehicles.
Elon Musk
Starlink restrictions are hitting Russian battlefield comms: report
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
SpaceX’s decision to disable unauthorized Starlink terminals in Ukraine is now being felt on the battlefield, with Ukrainian commanders reporting that Russian troops have struggled to maintain assault operations without access to the satellite network.
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
Lt. Denis Yaroslavsky, who commands a special reconnaissance unit, stated that Russian assault activity noticeably declined for several days after the shutdown. “For three to four days after the shutdown, they really reduced the assault operations,” Yaroslavsky said.
Russian units had allegedly obtained Starlink terminals through black market channels and mounted them on drones and weapons systems, despite service terms prohibiting offensive military use. Once those terminals were blocked, commanders on the Ukrainian side reported improved battlefield ratios, as noted in a New York Post report.
A Ukrainian unit commander stated that casualty imbalances widened after the cutoff. “On any given day, depending on your scale of analysis, my sector was already achieving 20:1 (casuality rate) before the shutdown, and we are an elite unit. Regular units have no problem going 5:1 or 8:1. With Starlink down, 13:1 (casualty rate) for a regular unit is easy,” the unit commander said.
The restrictions come as Russia faces heavy challenges across multiple fronts. A late January report from the Center for Strategic and International Studies estimated that more than 1.2 million Russian troops have been killed, wounded, or gone missing since February 2022.
The Washington-based Institute for the Study of War also noted that activity from Russia’s Rubikon drone unit declined after Feb. 1, suggesting communications constraints from Starlink’s restrictions may be limiting operations. “I’m sure the Russians have (alternative options), but it takes time to maximize their implementation and this (would take) at least four to six months,” Yaroslavsky noted.
Tesla launches new Model 3 financing deal with awesome savings
Tesla hasn’t adopted Apple CarPlay yet for this shocking reason
