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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
Tesla and SpaceX merger talks hit a new stage, and one hurdle remains
Tesla and SpaceX merger talks are reportedly advancing, and a deal could arrive by December.
Tesla and SpaceX are moving closer to a combination, with a deal announcement possible as soon as December, Bloomberg reported on Thursday, citing people familiar with the matter. The companies have also discussed a scenario in which the announcement slips into early 2027.
Boards and advisers on both sides are now working through the terms of the deal and the governance structure of the combined company, according to the report. One open item is how many SpaceX shares Tesla investors would receive. Bloomberg had previously reported that the two companies were aiming to announce a deal in the first half of next year and close it before the end of President Donald Trump’s term, so a December announcement would pull that schedule forward by months.
Tesla shares rose as much as 1.9% to $398.35 after the report, while SpaceX gained 0.6% to $140.63. SpaceX carries a market value of about $1.9 trillion following its June IPO, and Tesla is valued at about $1.55 trillion, which would make a combination the largest corporate deal on record. Neither company responded to requests for comment.
The talks became official on October 20, when Elon Musk said on SpaceX’s third quarter earnings call that both companies had formed special committees of independent directors to study a merger, as Teslarati reported. Musk said he could not take part because he is “a conflicted party” and called the process “an odd kabuki dance.” He also noted that Tesla would need approval from 50 percent of all outstanding shares, a bar the company missed in 2025 when a board declassification proposal won support from only 39.4 percent.
China remains the biggest structural problem. Bloomberg’s sources said the companies still need to work out how to isolate Tesla’s large and profitable manufacturing business in China from SpaceX’s U.S. government and defense contracts. JPMorgan analyst Rajat Gupta described those two factors last month as “key dynamics that are at odds with each other” for regulatory and shareholder approval. Musk has repeatedly said Tesla has no plans to separate its China business, a position he restated in August after ARK Invest predicted a merger announcement before the end of the year.
Washington adds another layer. Democrats took control of Congress in this month’s midterms and have pledged to investigate Musk’s business and political activities, which could bring added scrutiny to a deal involving one of the Pentagon’s most important launch and satellite contractors.
The report also lands three weeks before Tesla’s December 3 annual meeting at Giga Texas. That ballot has only three items, led by the re-election of Musk, board chair Robyn Denholm and JB Straubel, and includes no merger proposal. Any deal announced in December would likely require a separate special meeting for Tesla shareholders to vote on it.
The two companies already share a growing list of projects, including the Terafab semiconductor plant in Texas. Tesla’s next generation Roadster, which uses cold gas thrusters built on SpaceX hardware, turned up on display at SpaceX headquarters last month and has become one of the clearest public examples of that overlap.
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SpaceX hid behind another name in the Arizona desert, and now it’s going big
SpaceX puts a $50 billion price on its Arizona supercompute campus ahead of December’s hearing.
SpaceX has put a price tag on the supercomputer campus it wants to build in the southern Arizona desert. In a statement Thursday, the company said it is pursuing a roughly $50 billion supercompute campus in Cochise County, about 80 miles east of Tucson. Together with a separate facility planned at Starbase, Texas, the two projects add up to more than $74 billion in planned investment.
The Arizona figure had not been disclosed before. SpaceX’s involvement only became public on November 4, when company representatives hosted a packed town hall at Cochise Elementary School for an application filed under the name Tombstone Resources LLC. A SpaceX representative told residents the filing used another name because putting SpaceX on it “draws attention” from outside the county, local station KVOA reported.
The application describes a 747-acre site near the Willcox Playa with up to nine buildings of about 493,000 square feet each. SpaceX plans to bring the campus online in four phases of roughly 1.5 GW, reaching 6 GW at full build, backed by a 24 GWh battery system and about $3.6 billion in grid upgrades. At that size, it would draw about 2.5 times more power than every data center in Maricopa County combined, according to an Arizona Republic analysis.
SpaceX says the project will create about 5,500 construction jobs and 1,000 permanent jobs, and that it could cut electricity bills for members of the local cooperatives by up to 20 percent. The campus would use dry cooling with no industrial groundwater use. Its application estimates ongoing water needs of 7 to 10 acre-feet a year, roughly what 20 to 30 homes consume.
Power is the bigger question. The site sits next to the Apache Generating Station, a coal and natural gas plant with about 1 GW of capacity that had been slated to retire by 2028. SpaceX told residents its investment could expand the station to more than 6 GW.
Local opposition is organized. A petition asking the county to deny the permit has gathered about 2,400 signatures, and the nearby playa is a landing spot for federally protected sandhill cranes, which SpaceX says its design accounts for. The Cochise County Planning and Zoning Commission will hold a public hearing on December 9 in Bisbee, with written comments due November 27. If approved, construction could start in March 2027.
The Texas project faces a vote the same day. The Starbase City Commission will consider a property tax abatement for SpaceX’s $24 billion gas plant and supercompute facility at its own December 9 hearing, as Teslarati reported. SpaceX said Thursday the Starbase site has already generated more than 3,000 construction jobs, and it committed $220 million to Brownsville’s water and wastewater systems, $40 million of which has been paid.
Both campuses would expand a footprint still centered on the Memphis area, where SpaceX’s Colossus data centers run largely on gas turbines and the company won a permit for a power plant in Southaven, Mississippi earlier this year. SpaceX ended the third quarter with 1.7 GW of nameplate compute. The Arizona campus alone, at full build, would be more than three times that size.
Elon Musk
Nvidia’s board meets on Jensen Huang, and Elon Musk already has an answer
Elon Musk says it would be an honor to hire Jensen Huang amid Nvidia turmoil.
Elon Musk says he would welcome Jensen Huang at one of his companies if Nvidia’s board decides to push out its longtime chief executive.
On Wednesday evening, the financial account ZeroHedge posted “Elon please hire Jensen” on X. Musk replied roughly two hours later: “That would be an honor.” Neither Huang nor Nvidia had responded publicly as of Wednesday night.
Musk’s reply came as Nvidia’s board met to decide Huang’s future. The Wall Street Journal reported that directors were preparing to oust him following reports of two extramarital relationships. One involves Alice Huang, a Singapore-based businesswoman whom U.S. intelligence officials reportedly believe was working for China’s Ministry of State Security. The New York Times separately reported a relationship with Kimberly Powell, Nvidia’s vice president of health care. Huang acknowledged being unfaithful in a memo to employees on Sunday but gave no details.
@zerohedge That would be an honor
— Elon Musk (@elonmusk) November 12, 2026
Under Nvidia’s bylaws, a majority of its 11 directors can remove the CEO with or without cause. Bloomberg reported that the board has been working with an outside firm on possible replacements and may name an interim chief, with CFO Colette Kress seen as the likely pick. Nvidia shares fell more than 8 percent in extended trading, according to CNBC, and the company is scheduled to report quarterly earnings on November 17.
Musk has more riding on Nvidia’s leadership than most tech executives. In August, he told investors on SpaceX’s first earnings call as a public company that it would build its AI infrastructure exclusively on Nvidia hardware, calling Vera Rubin “the best architecture.” SpaceX is also working with Nvidia on the compute payload for Starmind, its planned orbital AI constellation. In October, SpaceX said it had a binding commitment for a roughly $40 billion lease of Vera Rubin GPUs and related equipment, with the leases expected to begin in the first half of 2027.
The scale of that dependence is already enormous. On its Q3 call, SpaceX said it was bringing roughly 200,000 to 220,000 Nvidia GB300 GPUs online each month and expects 2.5 to 3 GW of nameplate compute by the end of the year. That buildout is now reaching new sites like the proposed $24 billion power plant and supercomputer campus at Starbase.
The relationship between the two executives also goes back nearly a decade. Huang has often told the story of personally delivering Nvidia’s first DGX-1 AI supercomputer to Musk in 2016, when no other customer wanted one. “Nobody wanted to be part of it, except for Elon,” Huang said on the Joe Rogan Experience last December.
Musk did not say what role Huang might fill, and his reply stops short of a formal offer. Huang co-founded Nvidia in 1993 and still owns about 3.6 percent of its stock, so any move to a Musk company would depend on whether, and how, he leaves the chipmaker he has run for more than three decades.
Tesla and SpaceX merger talks hit a new stage, and one hurdle remains
SpaceX hid behind another name in the Arizona desert, and now it’s going big
