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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.
News
Tesla owners could be impacted by new EV tax credit extension rule
We confirmed with a Tesla Sales Advisor that any current orders that have the $7,500 tax credit applied to them must be completed by December 31, meaning delivery must take place by that date. However, it is unclear at this point whether someone could still claim the credit when filing their tax returns for 2025 as long as the order reflects an order date before September 30.
Tesla owners could be impacted by a new EV tax credit rule, which seems to be a new hoop to jump through for those who benefited from the “extension,” which allowed orderers to take delivery after the loss of the $7,500 discount.
After the Trump Administration initiated the phase-out of the $7,500 EV tax credit, many were happy to see the rules had been changed slightly, as deliveries could occur after the September 30 cutoff as long as orders were placed before the end of that month.
However, there appears to be a new threshold that EV buyers will have to go through, and it will impact their ability to get the credit, at least at the Point of Sale, for now.
Delivery must be completed by the end of the year, and buyers must take possession of the car by December 31, 2025, or they will lose the tax credit. The U.S. government will be closing the tax credit portal, which allows people to claim the credit at the Point of Sale.
🚨UPDATE: $7,500 Tax Credit Portal “Closes By End of Year”.
This is bad news for pending Tesla buyers (MYP) looking to lock in the $7,500 Tax Credit.
“it looks like the portal closes by end of the year so there be no way for us to guarantee the funds however, we will try our… pic.twitter.com/LnWiaXL30k
— DennisCW | wen my L (@DennisCW_) December 15, 2025
We confirmed with a Tesla Sales Advisor that any current orders that have the $7,500 tax credit applied to them must be completed by December 31, meaning delivery must take place by that date.
However, it is unclear at this point whether someone could still claim the credit when filing their tax returns for 2025 as long as the order reflects an order date before September 30.
If not, the order can still go through, but the buyer will not be able to claim the tax credit, meaning they will pay full price for the vehicle.
This puts some buyers in a strange limbo, especially if they placed an order for the Model Y Performance. Some deliveries have already taken place, and some are scheduled before the end of the month, but many others are not expecting deliveries until January.
Elon Musk
Elon Musk takes latest barb at Bill Gates over Tesla short position
Bill Gates placed a massive short bet against Tesla of ~1% of our total shares, which might have cost him over $10B by now
Elon Musk took his latest barb at former Microsoft CEO Bill Gates over his short position against the company, which the two have had some tensions over for a number of years.
Gates admitted to Musk several years ago through a text message that he still held a short position against his sustainable car and energy company. Ironically, Gates had contacted Musk to explore philanthropic opportunities.
Elon Musk explains Bill Gates beef: He ‘placed a massive bet on Tesla dying’
Musk said he could not take the request seriously, especially as Gates was hoping to make money on the downfall of the one company taking EVs seriously.
The Tesla frontman has continued to take shots at Gates over the years from time to time, but the latest comment came as Musk’s net worth swelled to over $600 billion. He became the first person ever to reach that threshold earlier this week, when Tesla shares increased due to Robotaxi testing without any occupants.
Musk refreshed everyone’s memory with the recent post, stating that if Gates still has his short position against Tesla, he would have lost over $10 billion by now:
Bill Gates placed a massive short bet against Tesla of ~1% of our total shares, which might have cost him over $10B by now
— Elon Musk (@elonmusk) December 17, 2025
Just a month ago, in mid-November, Musk issued his final warning to Gates over the short position, speculating whether the former Microsoft frontman had still held the bet against Tesla.
“If Gates hasn’t fully closed out the crazy short position he has held against Tesla for ~8 years, he had better do so soon,” Musk said. This came in response to The Gates Foundation dumping 65 percent of its Microsoft position.
Tesla CEO Elon Musk sends final warning to Bill Gates over short position
Musk’s involvement in the U.S. government also drew criticism from Gates, as he said that the reductions proposed by DOGE against U.S.A.I.D. were “stunning” and could cause “millions of additional deaths of kids.”
“Gates is a huge liar,” Musk responded.
It is not known whether Gates still holds his Tesla short position.
Tesla made a change to the Cybertruck, and nobody noticed. But to be fair, nobody could have, but it was revealed by the program’s lead engineer that it was aimed toward simplifying manufacturing through a minor change in casting.
After the Cybertruck was given a Top Safety Pick+ award by the Insurance Institute for Highway Safety (IIHS), for its reputation as the safest pickup on the market, some wondered what had changed about the vehicle.
Tesla makes changes to its vehicles routinely through Over-the-Air software updates, but aesthetic changes are relatively rare. Vehicles go through refreshes every few years, as the Model 3 and Model Y did earlier this year. However, the Cybertruck is one of the vehicles that has not changed much since its launch in late 2023, but it has gone through some minor changes.
Most recently, Wes Morrill, the Cybertruck program’s Lead Engineer, stated that the company had made a minor change to the casting of the all-electric pickup for manufacturing purposes. This change took place in April:
We made a minor change on the casting for manufacturability in April. Our Internal testing shows no difference in crash result but IIHS only officially tested the latest version
— Wes (@wmorrill3) December 17, 2025
The change is among the most subtle that can be made, but it makes a massive difference in manufacturing efficiency, build quality, and scalability.
Morrill revealed Tesla’s internal testing showed no difference in crash testing results performed by the IIHS.
The 2025 Cybertruck received stellar ratings in each of the required testing scenarios and categories. The Top Safety Pick+ award is only given if it excels in rigorous crash tests. This requires ‘Good’ ratings in updated small and moderate overlap front, side, roof, and head restraints.
Additionally, it must have advanced front crash prevention in both day and night. Most importantly, the vehicle must have a ‘Good’ or ‘Acceptable’ headlights standard on all trims, with the “+ ” specifically demanding the toughest new updated moderate overlap test that checks rear-seat passenger protection alongside driver safety.
Tesla owners could be impacted by new EV tax credit extension rule
Elon Musk takes latest barb at Bill Gates over Tesla short position
