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.
Energy
Tesla’s newest “Folding V4 Superchargers” are key to its most aggressive expansion yet
Tesla’s folding V4 Supercharger ships 33% more per truck, cuts deployment time and cost significantly.
Tesla is rolling out a folding V4 Supercharger design, an engineering change that allows 33% more units to fit on a single delivery truck, cuts deployment time in half, and reduces overall installation cost by roughly 20%.
The folding mechanism addresses one of the least glamorous but most consequential bottlenecks in charging infrastructure: getting hardware from factory floor to job site efficiently. By collapsing the form factor for transit and unfolding into an operational configuration on arrival, the new design dramatically reduces the logistics overhead that has historically slowed Supercharger rollouts, particularly at large or remote sites where multiple units are needed simultaneously.
The timing aligns with a broader acceleration in Tesla’s network strategy. In March 2026, Tesla’s Gigafactory New York produced its final V3 Supercharger cabinet after more than seven years and 15,000 units, pivoting entirely to V4 cabinet production. The V4 cabinet itself is already a generational leap, delivering up to 500 kW per stall for passenger vehicles and up to 1.2 MW for the Tesla Semi, while supporting twice the stalls per cabinet at three times the power density of its predecessor. The folding transport innovation layers logistical efficiency on top of that technical foundation.
Tesla launches first ‘true’ East Coast V4 Supercharger: here’s what that means
Tesla Charging’s Director Max de Zegher, commenting on the V4 cabinet when it launched, captured the operational philosophy behind these changes: “Posts can peak up to 500kW for cars, but we need less than 1MW across 8 posts to deliver maximum power to cars 99% of the time.” The design philosophy has always been about maximizing real-world throughput, not just peak specs, and the folding transport upgrade extends that thinking into the supply chain itself.
Posts can peak up to 500kW for cars, but we need less than 1MW across 8 posts to deliver maximum power to cars 99% of the time.
No more DC busbar between cabinets. Power comes from a single V4 cabinet to 8 stalls. Easier to install, cheaper, more reliable.
Introducing Folding Unit Superchargers
– V4 cabinet with 500kW charging
– 8 posts per unit
– 2 units per truck
– 2 configurations: folded, unfoldedFaster. Cheaper. Better. pic.twitter.com/YyALz0U5cA
— Tesla Charging (@TeslaCharging) March 25, 2026
The network is expanding rapidly on multiple fronts. The first true 500 kW V4 Supercharger on the East Coast opened in Kissimmee, Florida in March 2026, followed closely by a new site in Nashville, Tennessee. A public Megacharger for the Tesla Semi launched in Ontario, California in early March, with 37 additional Megacharger sites targeted for completion by end of year. Meanwhile, more than 27,500 Supercharger stalls are now accessible to non-Tesla EVs from brands including Ford, GM, Rivian, Hyundai, and most recently Stellantis, whose Dodge, Jeep, Ram, Fiat, and Maserati BEV customers gained access in March 2026.
As Tesla pushes toward a denser, faster, and more open charging network, innovations like the folding V4 Supercharger reflect the company’s growing focus on deployment velocity, not just hardware performance. Getting chargers to the ground faster, cheaper, and in greater volume per shipment may ultimately matter as much as the kilowatts they deliver.
Elon Musk
The Boring Company clears final Nashville hurdle: Music City loop is full speed ahead
The Boring Company has cleared its final Nashville hurdles, putting the Music City Loop on track for 2026.
The Boring Company has cleared one of its most significant regulatory milestones yet, securing a key easement from the Music City Center in Nashville just days ago, the latest in a series of approvals that have pushed the Music City Loop project firmly into construction reality.
On March 24, 2026, the Convention Center Authority voted to grant The Boring Company access to an easement along the west side of the Music City Center property, allowing tunneling beneath the privately owned venue. The move follows a unanimous 7-0 vote by the Metro Nashville Airport Authority on February 18, and a joint state and federal approval from the Tennessee Department of Transportation and the Federal Highway Administration on February 25. Together, these green lights have cleared the path for a roughly 10-mile underground tunnel connecting downtown Nashville to Nashville International Airport, with potential extensions into midtown along West End Avenue.
Music City Loop could highlight The Boring Company’s real disruption
Nashville was selected by The Boring Company largely because of its rapid population growth and the strain that growth has placed on surface infrastructure. Traffic has become a persistent problem for residents, convention visitors, and airport travelers alike. The Music City Loop promises an approximately 8-minute underground transit time between downtown and the Nashville International Airport (BNA), removing thousands of vehicles from surface roads daily while operating as a fully electric, zero-emissions system at no cost to taxpayers.
The project fits squarely within a broader vision Musk has championed for years. In responding to a breakdown of the Loop’s construction costs, Musk posted on X: “Tunnels are so underrated.” The comment reflected a longstanding belief that underground transit represents one of the most cost-effective and scalable infrastructure solutions available. The Boring Company has claimed it can build 13 miles of twin tunnels in Nashville for between $240 million and $300 million total, a fraction of what comparable projects cost elsewhere in the country.
Image Credit: The Boring Company/Twitter
The Las Vegas Loop, The Boring Company’s first operational system, has served as a proof of concept. During the CONEXPO trade show in March 2026, the Vegas Loop transported approximately 82,000 passengers over five days at the Las Vegas Convention Center, demonstrating the system’s capacity during large-scale events. Nashville draws millions of convention visitors and tourists each year, and local business leaders have pointed to that same capacity as a major draw for supporting the project.
The Music City Loop was first announced in July 2025. Construction began within hours of the February 25 state approval, with The Boring Company’s Prufrock tunneling machine already in the ground the same evening. The first operational segment is targeted for late 2026, with the full route expected to be complete by 2029. The project represents one of the largest privately funded infrastructure efforts currently underway in the United States.
Elon Musk
Elon Musk demands Delaware Judge recuse herself after ‘support’ post celebrating $2B court loss
A banner on the post read “Katie McCormick supports this,” using LinkedIn’s heart-in-hand “support” icon, an endorsement stronger than a simple “like.” Musk’s lawyers argue the action creates “a perception of bias against Mr. Musk,” warranting immediate recusal to preserve judicial impartiality.
Tesla CEO Elon Musk’s legal team has filed a motion demanding that Delaware Chancellor Kathaleen McCormick disqualify herself from an ongoing high-stakes Tesla shareholder lawsuit.
The filing, submitted March 25, cites an apparent LinkedIn “support” reaction from McCormick’s account to a post celebrating a $2 billion jury verdict against Musk in a separate California securities-fraud case.
The move escalates long-simmering tensions between Musk, Tesla, and the Delaware judiciary, where McCormick previously presided over the landmark challenge to Musk’s record $56 billion 2018 compensation package.
Delaware Supreme Court reinstates Elon Musk’s 2018 Tesla CEO pay package
The LinkedIn post was written by Harry Plotkin, a Southern California jury consultant who assisted the plaintiffs who sued Musk over 2022 tweets about his Twitter acquisition. Plotkin praised the trial team for “standing up for the little guy against the richest man in the world.”
The New York Post initially reported the story.
A banner on the post read “Katie McCormick supports this,” using LinkedIn’s heart-in-hand “support” icon, an endorsement stronger than a simple “like.” Musk’s lawyers argue the action creates “a perception of bias against Mr. Musk,” warranting immediate recusal to preserve judicial impartiality.
This appears to be unequivocal proof she denied the pay package because of her own personal beliefs and not the law.
Corruption. https://t.co/8dvgcfYuvh
— TESLARATI (@Teslarati) March 25, 2026
McCormick swiftly denied intentional endorsement. In a letter to attorneys, she stated she was unaware of the interaction until LinkedIn notified her. She wrote:
“I either did not click the ‘support’ icon at all, or I did so accidentally. I do not believe that I did it accidentally.”
The chancellor maintains the reaction was inadvertent, but critics, including Musk allies, call the explanation implausible given the platform’s deliberate interface.
McCormick’s central role in the Tesla pay-package litigation underscores the stakes. In Tornetta v. Musk, in January 2024, she ruled the 2018 performance-based stock-option grant, potentially worth $56 billion at the time and now valued far higher, was invalid.
The package consisted of 12 tranches of options, each vesting only after Tesla achieved ambitious market-cap and operational milestones. McCormick found Musk exercised “transaction-specific control” over Tesla as a controlling stockholder, the board lacked sufficient independence, and proxy disclosures to shareholders were materially deficient.
Applying the entire-fairness standard, she concluded defendants failed to prove the deal was fair in process or price and ordered full rescission, an “unfathomable” remedy she described as necessary to deter fiduciary breaches.
After the ruling, Tesla shareholders ratified the package a second time in June 2024. McCormick rejected that ratification in December 2024, holding that post-trial votes could not cure defects.
Tesla appealed. On December 19 of last year, the Delaware Supreme Court unanimously reversed the rescission remedy while largely leaving McCormick’s liability findings intact. The high court deemed total unwinding inequitable and impractical, restoring the package but awarding the plaintiff only nominal $1 damages plus reduced attorneys’ fees. Musk ultimately received the full award.
The current recusal motion arises in yet another Tesla derivative suit before McCormick. Legal observers say granting it could signal heightened scrutiny of judicial social-media activity; denial might reinforce perceptions of an insular Delaware bench.
Broader fallout includes accelerated corporate migration out of Delaware, Musk himself moved Tesla’s incorporation to Texas after the first ruling, and renewed debate over whether the state’s specialized courts remain the gold standard for corporate governance disputes.
A decision is expected soon; whichever way it lands, the episode highlights the fragile balance between judicial independence and public confidence in high-profile litigation.
Tesla’s newest “Folding V4 Superchargers” are key to its most aggressive expansion yet
The Boring Company clears final Nashville hurdle: Music City loop is full speed ahead
Elon Musk demands Delaware Judge recuse herself after ‘support’ post celebrating $2B court loss
What is Digital Optimus? The new Tesla and xAI project explained
Elon Musk’s Boring Co. Tunnel Vision Challenge ends with a surprise for Louisiana, Maryland and Dallas
