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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.
Elon Musk
Elon Musk’s Grokipedia is getting cited by OpenAI’s ChatGPT
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia.
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia, an AI-generated encyclopedia developed by rival xAI, which was founded by Elon Musk. The citations appeared across a limited set of queries.
Reports about the matter were initially reported by The Guardian.
Grokipedia references in ChatGPT
Grokipedia launched in October as part of xAI’s effort to build an alternative to Wikipedia, which has become less centrist over the years. Unlike Wikipedia, which is moderated and edited by humans, Grokipedia is purely AI-powered, allowing it to approach topics with as little bias as possible, at least in theory. This model has also allowed Grokipedia to grow its article base quickly, with recent reports indicating that it has created over 6 million articles, more than 80% of English Wikipedia.
The Guardian reported that ChatGPT cited Grokipedia nine times across responses to more than a dozen user questions during its tests. As per the publication, the Grokipedia citations did not appear when ChatGPT was asked about high-profile or widely documented topics. Instead, Grokipedia was referenced in responses to more obscure historical or biographical claims. The pattern suggested selective use rather than broad reliance on the source, at least for now.
Broader Grokipedia use
The Guardian also noted that Grokipedia citations were not exclusive to ChatGPT. Anthropic’s AI assistant Claude reportedly showed similar references to Grokipedia in some responses, highlighting a broader issue around how large language models identify and weigh publicly available information.
In a statement to The Guardian, an OpenAI spokesperson stated that ChatGPT “aims to draw from a broad range of publicly available sources and viewpoints.” “We apply safety filters to reduce the risk of surfacing links associated with high-severity harms, and ChatGPT clearly shows which sources informed a response through citations,” the spokesperson stated.
Anthropic, for its part, did not respond to a request for comment on the matter. As for xAI, the artificial intelligence startup simply responded with a short comment that stated, “Legacy media lies.”
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Tesla Europe builds momentum with expanding FSD demos and regional launches
Needless to say, it appears that Tesla is putting in some serious effort into boosting sales in Europe this year.
Tesla has been notably active across Europe in recent weeks, expanding its Full Self-Driving (Supervised) ride-along program, entering a new market, and showcasing its newest vehicles across multiple regions.
Needless to say, it appears that Tesla is putting in some serious effort into boosting sales in Europe this year.
Tesla Europe recently announced the expansion of its FSD (Supervised) ride-along experiences, inviting the public to experience the system on local roads. Initially available in Italy, France, and Germany when it launched, the program has now expanded to Hungary, Finland, and Spain.
The ride-along program allows participants to ride in the passenger seat and observe how FSD Supervised handles real-world traffic scenarios, including dense urban driving and other challenging conditions. Tesla has positioned the initiative as a way to familiarize European drivers and regulators with the system’s capabilities in everyday use. The program has received positive reviews so far, with many being impressed by FSD’s real-world capabilities.
Tesla also recently launched operations in Slovakia with a pop-up store and multi-day public event in Bratislava, as noted in an EV Wire report. The launch, held from January 16 to 18 at the Eurovea Mall Promenade, featured test drives, vehicle displays, including the Cybertruck, as well as family-focused attractions such as a mini-Tesla racetrack.
Local observers noted that Tesla Optimus was also shown at the event, while the Tesla Owners Slovakia club welcomed the brand with a coordinated light show near the Slovak National Theater. Tesla Europe later shared its appreciation for Slovakia in a post on its official social media account on X, stating, “Thanks, Slovakia, for the amazing last 3 days & for giving us such a warm welcome!”
Tesla’s Slovakia entry follows a familiar pattern used by the company in other European markets. Tesla opened a pop-up store in Bratislava as an initial step, with plans for a permanent showroom and a potential service center at a renovated site previously occupied by a Jeep and Dodge dealership. Tesla has used a similar approach in markets such as Czechia and Lithuania, where permanent facilities followed within a few months of pop-up launches.
Slovakia already has six Supercharging sites totaling 46 Superchargers, including two locations in Bratislava, providing early infrastructure support for Tesla owners. Tesla staff program manager Supratik Saha described the Slovakia launch as a strategic expansion in the heart of the EU, citing the country’s strong automotive manufacturing base and appetite for advanced technology.
Beyond the EU, the company also marked another milestone with the first Cybertruck deliveries in the United Arab Emirates, signaling continued geographic expansion for Tesla’s newest vehicle. Just like Tesla Slovakia, the Cybertruck also received a warm welcome from the UAE’s EV community.
News
Tesla Sweden maintains Trelleborg port deal despite union blockade
As noted in a report from Dagens Arbete (DA), Tesla was able to maintain its storage agreement with the Port of Trelleborg.
Tesla Sweden is still storing vehicles at the Port of Trelleborg despite the ongoing blockades against the company from the country’s labor unions.
Tesla still at Port of Trelleborg
As noted in a report from Dagens Arbete (DA), Tesla was able to maintain its storage agreement with the Port of Trelleborg. This allows the company to keep vehicles at the port while imports into Sweden continue. This was despite the Transport Workers’ Union’s blockade, which was aimed at halting the loading and unloading of Tesla vehicles in the area.
Local union leader Jörgen Wärja, chairman of Transport and an employee representative on the port company’s board, confirmed that the agreement was still active. “The agreement has not been terminated. You want to have the money instead of having empty warehouses. I understand the reason, but I do not support it,” Wärja said
The local union leader also noted that he visited Tesla’s storage area earlier this week. “There were a lot of cars. I was surprised that there were so many, actually,” he said.
Tesla had been able to bring vehicles into Sweden via passenger ferries at Trelleborg, a method that unions said allowed the company to bypass the blockade, DA noted. According to estimates from IF Metall, the workaround enabled Tesla to deliver thousands of cars to Sweden each year.
Port defends decision
The Port of Trelleborg did not issue a comment on its current agreement with Tesla, but said it had complied with union sympathy measures. Documents reviewed by Swedish media showed that the contract with Tesla was being extended in six-month intervals.
Port CEO Malin Collin noted that the port would not discuss individual customer arrangements. “We do not go into details regarding any customer agreements. We have continuous dialogue with potential tenants, and this is not unique to any location,” Collin wrote in an email.
The CEO added that the port was following legal requirements related to the labor dispute. “We have taken note of the Transport Workers’ Union’s decision on sympathy measures and are of course following applicable legislation and the requirements placed on us as employers,” Collin said.
Jörgen Wärja, for his part, stated that the issue was not whether Tesla’s imports into Sweden could be fully stopped, but whether the port should provide logistical support to the electric vehicle maker during an active conflict. “The port shouldn’t have anything to do with Tesla at all, we believe,” he said. “It’s purely moral. Whether you honor a conflict or not. If you say you support Transport’s sympathetic actions against Tesla, it becomes a double standard.”
