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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 just unlocked sales to 50,000+ government agencies
It marks a significant step in expanding Tesla’s presence in the public sector, where procurement processes have traditionally slowed electric vehicle adoption.
Tesla just unlocked sales to over 50,000 government agencies by entering a new agreement with Sourcewell, a purchasing cooperative.
Tesla entered a new master purchasing agreement with Sourcewell, the largest government purchasing cooperative in the U.S. This will enable streamlined sales of its EVs to more than 50,000 U.S. public entities. Tesla entered Designated Contract 0813525-TES, and the agreement covers Model 3, Model Y, and Cybertruck, and potentially other vehicles the company could release.
It marks a significant step in expanding Tesla’s presence in the public sector, where procurement processes have traditionally slowed electric vehicle adoption.
The deal allows eligible agencies, including cities, school districts, state governments, and higher-education institutions, to purchase Tesla vehicles directly through Sourcewell without conducting their own lengthy competitive bidding or request-for-proposal (RFP) processes.
Pricing is pre-negotiated and capped, providing transparency and predictability. Agencies simply register for a Sourcewell account online or by phone and place orders under the existing contract. This cooperative model aggregates demand across thousands of members, reducing administrative costs and time while ensuring compliance with public procurement rules.
For Tesla, the agreement removes major barriers to government fleet sales. Public-sector procurement cycles often stretch 12 to 18 months due to bidding requirements and committee reviews.
Tesla buyers in the U.S. military can get $1,000 off Cybertruck purchases
By securing the master contract, Tesla gains immediate, simplified access to a massive customer base that previously faced friction in adopting EVs. The company highlighted in its announcement that the partnership will help these 50,000-plus agencies “save thousands of $$$ in operating costs for their vehicle fleet over time” through lower maintenance, energy efficiency, and the elimination of tailpipe emissions.
The initial four-year term runs through November 13, 2029, with options for up to three one-year extensions, offering long-term stability for both parties.
Sourcewell’s role is central to execution. As a cooperative purchasing organization, it negotiates and manages vendor contracts on behalf of its members, then makes them available nationwide. Participating entities contact Tesla’s dedicated fleet team or Sourcewell representatives to complete purchases, bypassing redundant paperwork.
This structure accelerates fleet electrification while maintaining fiscal accountability—agencies receive pre-vetted pricing and terms without reinventing the wheel for each vehicle order.
The partnership positions Tesla to capture a larger share of the public fleet market, where total cost of ownership often favors electric vehicles once procurement hurdles are removed.
For government buyers, it translates to faster deployment of sustainable fleets, reduced long-term expenses, and alignment with environmental mandates. As more agencies transition, the contract could contribute to broader EV infrastructure growth and taxpayer savings across the country.
Elon Musk
How much of SpaceX will Elon Musk own after IPO will surprise you
SpaceX’s IPO filing confirms Musk will maintain his voting power to make key decisions for the company.
Elon Musk will retain dominant voting control of SpaceX after it goes public, according to the company’s IPO prospectus that was filed with the SEC. The filing reveals a dual-class equity structure giving Class B shareholders 10 votes each, concentrating power with Musk and a handful of other insiders, while Class A shares sold to public investors carry one vote.
Musk holds approximately 42% of SpaceX’s equity and controls roughly 79% of its votes through super-voting shares. He will simultaneously serve as CEO, CTO, and chairman of the nine-member board after the listing. Beyond that, the filing includes provisions that may limit shareholders’ influence over board elections and legal actions, forcing disputes into arbitration and restricting where they can be brought.
The case for Musk holding this level of control is grounded in SpaceX’s actual history. The company’s most important bets, from reusable rockets to a global satellite internet constellation, were decisions that ran against conventional aerospace thinking and would likely have faced resistance from a board accountable to investor gains. Fully reusable rockets were considered economically irrational by established industry players for years. Starlink, which now generates over $4 billion in annual operating profit, was widely dismissed as financially unviable when it was proposed. The argument for concentrated founder control seems straightforward, and the decisions that built SpaceX into what it is today required someone willing to ignore consensus and absorb years of losses.
SpaceX files confidentially for IPO that will rewrite the record books
For context, Musk’s position is significantly more dominant than Zuckerberg’s at Meta. The comparison with Tesla is also worth noting. When Tesla did its IPO in 2010, it did not issue dual-class shares. Musk has only recently pushed for enhanced voting protection, proposing at least 25% control at Tesla in 2024 after selling shares to fund his Twitter acquisition left him with around 13%.
SpaceX has clearly learned from that experience and structured the IPO differently by planning to allocate up to 30% of shares to retail investors, roughly three times the typical norm for a large offering. The roadshow is expected to begin the week of June 8, with a Nasdaq listing rumored to be a $1.75 trillion valuation and a $75 billion raise.
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Tesla bolsters App with new safety, insurance, and storage features
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.
Tesla Insurance – Safety Score 3.0
This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).
Update Tracking
Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.
Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.
Storage Management
Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.
Now, manually deleting the Dashcam videos is easier than ever.
Trailer Light Test
This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.
Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.
Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
Tesla just unlocked sales to 50,000+ government agencies
