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.
Investor's Corner
X clarifies xAI prediction market rumors, hints at future plans
Musk’s AI firm denied rumors of a Kalshi deal but left the door open. Prediction markets + AI could change how we forecast everything.

X dismissed rumors of xAI entering prediction market partnerships. In a recent X post, Elon Musk’s company clarified that xAI had not yet entered formal partnerships in the prediction market.
However, xAI clarification hinted at future exploration in the prediction market, aligning with X’s goal to become an “everything app.” The speculation underscores AI’s potential to reshape predictive analytics.
“Recent speculation about xAI’s involvement in the prediction market space has been circulating. While we’re enthusiastic about the potential of this industry and engaged in various discussions, no formal partnerships have been confirmed to date. Stay tuned!” noted the X team.
X’s statement followed a Tuesday post by Kalshi, hinting at a collaboration with xAI, which was deleted hours later. Kalshi suggested that xAI could leverage AI to analyze X’s news and social media data, enhancing betting decisions on political and economic events.
Bloomberg reported Kalshi aims to use xAI for tailored insights, enabling users to wager on outcomes like Federal Reserve rate changes or elections through derivative contracts.
“There’s deep alignment between prediction markets, social media, and AI. Prediction markets capture what people know — AI scales what people can know,” said Kalshi CEO Tarek Mansour. “This is just the beginning of a long collaboration to unlock the full potential of prediction markets.”
The prediction market industry fits X’s vision to evolve into a comprehensive platform, capitalizing on its trend and news leader role. While xAI’s denial quashes immediate partnership claims, its openness to discussions signals potential interest in prediction markets, where AI could amplify real-time insights.
xAI’s cautious stance reflects its focus on strategic AI development while navigating speculative buzz. As X pursues its “everything app” ambition, prediction markets could enhance its ecosystem, blending social media’s pulse with AI-driven analytics. With no partnerships confirmed, xAI’s future moves may yet redefine how users engage with event-based predictions, positioning it at the forefront of AI innovation.
Elon Musk
Elon Musk sends stern warning to Tesla vandals, doubters
Elon Musk sent another warning to vandals that have attacked Tesla for political reasons.

Elon Musk has sent a stern warning to Tesla vandals, doubters, and attackers, who have subjected the company and its owners to political violence through arson and other modes of retaliation.
Over the past few months, Tesla showrooms and vehicles have been hit with numerous attacks from those who have opposed Musk and his political involvement with the Trump Administration. Although Musk has stepped back from his role within government significantly since the start of May, the company is still looked at as a political target.
While the White House has put a clear-cut line on the acts, calling them domestic terrorism and holding those responsible for the damage they have done, there are still numerous and daily instances of keying cars or worse.
Yesterday, Musk continued to send stern warnings to those who oppose Tesla and choose to handle their distaste for the company with violence and vandalism. In a Bloomberg interview at the Qatar Economic Forum, Musk was asked if he took what has happened to Tesla “over the past few months personally.”
Musk replied simply but sternly: “Yes.”
“Did you take what happened to Tesla over the past few months personally?”
“Yes.” –@elonmusk pic.twitter.com/mNbgkpgZEo
— TESLARATI (@Teslarati) May 20, 2025
He went on to say that not only will those who vandalized the company and its products owned by consumers be held to the fullest extent of the law, but also those who fund it.
Musk also said during a CNBC interview yesterday that very few people buy a company’s products because of the CEO’s political beliefs, and many people do not even know where those CEOs stand on various social issues.
Although Musk has gone out of his way to be transparent about his beliefs, he has a valid point. He obviously felt that, because of his influence, he held a duty to uphold American values and protect what he felt was an attack on free speech and human rights.
Disagreeing with Musk and his political stances is totally reasonable, but damaging products that consumers bought from his companies is not impacting him directly. Instead, it is making consumers’ lives more difficult.
News
Tesla Model 3 gets perfect 5-star Euro NCAP safety rating
Tesla prides itself on producing some of the safest vehicles on the road today.

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.
Standout Safety Features
As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.
The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.
Standout Safety Features
In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.
“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place.
“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.
Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.
Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd
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