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.
News
Tesla patent aims to make massive change to common automotive part
Detailed in US 2026/0110320 A1 and published on April 23, the patent re-engineers the humble trim clip—the small plastic fastener that secures interior panels to the vehicle’s body structure. Traditional clips are single-piece plastic parts designed for one-time installation.
A new Tesla patent aims to fix a common automotive item for a more peaceful ride, revolutionizing its design to remove vibrations and noise during normal operation.
Detailed in US 2026/0110320 A1 and published on April 23, the patent re-engineers the humble trim clip—the small plastic fastener that secures interior panels to the vehicle’s body structure. Traditional clips are single-piece plastic parts designed for one-time installation.
Over time, they loosen, rattle, and transmit road noise, suspension vibrations, and minor panel buzz directly into the passenger compartment. Tesla’s new design turns that ordinary item into a reusable, two-material vibration-damping system built for long-term silence.
A TESLA PATENT DETAILS THE TWO MATERIALS AND FOUR FORCES THAT MAKE A TRIM CLIP REUSABLE
Tesla published a single patent application on April 23 that describes how to make an interior trim clip reusable across multiple service cycles.
US 2026/0110320 A1 was filed in October 2024… https://t.co/02yOUKkar2 pic.twitter.com/pEJUCw46yc
— SETI Park (@seti_park) May 3, 2026
The clip consists of four components drawn from just two material families. The pin and grommet are molded from rigid glass-fiber-reinforced nylon, giving them the strength needed to hold panels firmly in place.
Not a Tesla App reported on the patent.
A soft thermoplastic elastomer (TPE) is then overmolded onto the assembly in a distinctive mushroom shape that flares outward beyond the pin shaft. This soft layer does the heavy lifting for comfort: it spreads mechanical loads over a wider area and actively damps oscillations before they can reach the interior trim.
The result is a measurable reduction in noise, vibration, and harshness (NVH)—the very factors that separate a merely quiet electric vehicle from one that feels genuinely serene.
Engineers used finite-element analysis to dial in four precise forces that make the system both secure and serviceable. It takes 31 newtons to insert the grommet into the body panel and 243 newtons to pull it back out, ensuring it stays anchored during normal driving. The pin, however, slides in with only 7 newtons and releases at 152 newtons, the patent says.
Because the grommet grips the sheet metal far more tightly than the pin grips the grommet, technicians can pop the trim panel off, service wiring or components behind it, and snap everything back together without disturbing the grommet or degrading the soft overmold.
The clip survives repeated service cycles with no measurable loss of damping performance.
For drivers, the payoff is a noticeably more peaceful ride. Road rumble, panel flutter, and high-frequency buzz that often sneak into luxury cabins are absorbed at the source rather than conducted through rigid plastic. Over the life of the vehicle, the reusable design also prevents the gradual loosening that causes rattles in conventional clips. Fewer replacements mean less cabin noise from degraded parts and lower long-term maintenance costs.
Tesla’s patent shows how even the smallest hardware decisions affect the overall driving experience. By giving a mundane trim clip two distinct personalities—rigid where strength is needed, soft where silence matters—the company is quietly engineering away one more source of distraction.
If the design reaches production, future Tesla owners could enjoy an even calmer, more refined interior without ever noticing the clever little clips holding it all together.
News
SpaceX and Google mull massive partnership on Musk’s orbital data dream: report
The two companies are currently in talks for a rocket launch deal to support the placement of data centers in orbit as part of their push into space-based computing.
SpaceX and Google are in the process of ironing out the details of a potential partnership, a new report from the Wall Street Journal says. The two companies are currently in talks for a rocket launch deal to support the placement of data centers in orbit as part of their push into space-based computing.
In a move that blends cutting-edge AI demands with the final frontier of space exploration, Google is in exclusive talks with Elon Musk’s SpaceX for a rocket launch deal to deploy data centers in orbit. The Wall Street Journal is now reporting today, May 12, that the discussions mark Google’s aggressive expansion into space-based computing, addressing the exploding energy needs of artificial intelligence that terrestrial infrastructure can no longer sustain.
Exclusive: Google is in talks with SpaceX for a rocket launch deal as the search giant expands its own efforts to put orbital data centers in space https://t.co/QUCD3cPjxi
— The Wall Street Journal (@WSJ) May 12, 2026
SpaceX, nor Google, have commented on the report.
The catalyst for a potential deal is clear: AI’s voracious appetite for electricity. Global data centers consumed about 415 terawatt-hours (TWh) of electricity in 2024—roughly 1.5 percent of worldwide usage—according to the International Energy Agency. That figure is projected to more than double to around 945 TWh by 2030, with AI-focused servers growing at 30 percent annually, outpacing overall electricity demand growth by more than four times.
Some forecasts peg data center consumption exceeding 1,000 TWh by 2026, equivalent to Japan’s entire national electricity use. A single large AI training facility can draw as much power as 100,000 homes. On Earth, this translates to grid overloads, skyrocketing costs, land shortages, and massive water demands for cooling—constraints that threaten to throttle AI progress.
Orbital data centers promise a radical workaround. In space, satellites can harness constant, unobstructed sunlight for power—solar panels generate roughly five times more energy in orbit than on the ground, with no night cycle or atmospheric interference.
Excess heat radiates harmlessly into the vacuum of space, eliminating energy-intensive cooling systems and water usage. No terrestrial land or power grid is required, freeing operations from regulatory and environmental bottlenecks.
Musk has long championed the concept, framing it as inevitable. “Space-based AI is obviously the only way to scale,” he wrote on SpaceX’s site following the xAI merger. “Global electricity demand for AI simply cannot be met with terrestrial solutions… In the long term, space-based AI is obviously the only way to scale.”
He has repeatedly highlighted solar advantages: “Space has the advantage that it’s always sunny,” and “any given solar panel is going to give you about five times more power in space than on the ground.”
Musk predicted in early 2026 that “in 36 months but probably closer to 30 months, the most economically compelling place to put AI will be space,” adding that within five years, annual space-launched AI compute could surpass Earth’s cumulative total. “SpaceX will be doing this,” he declared when discussing scaled-up Starlink satellites with high-speed laser links for orbital data transfer.
Meanwhile, Google has been quietly advancing a similar vision under Project Suncatcher, its internal “moonshot” initiative. CEO Sundar Pichai has described plans to launch two prototype satellites equipped with Tensor Processing Units (TPUs) by early 2027 for testing thermal management and reliability in orbit. In interviews, Pichai has called orbital computing a potential “normal way to build data centers” within a decade, enabled by launch cost reductions.
SpaceX is uniquely positioned to make this reality. The company recently filed with the FCC to launch up to one million satellites dedicated to orbital data centers at altitudes between 500 and 2,000 kilometers, projecting capacity for 100 gigawatts of AI compute.
These talks align with SpaceX’s broader ambitions, including a potential IPO where orbital infrastructure features prominently in investor pitches.
FCC accepts SpaceX filing for 1 million orbital data center plan
Challenges remain formidable, as is expected with a project with expectations so lofty. Radiation-hardened hardware, laser-based inter-satellite and Earth-downlink communications, launch economics, and orbital debris management are key hurdles.
Yet early movers like Starcloud (which trained the first large language model in orbit in late 2025) and Google’s prototypes signal accelerating momentum. Rivals, including Amazon and Blue Origin, are exploring similar paths, but SpaceX’s Starship and Starlink heritage give it a launch cadence edge.
This partnership could redefine AI infrastructure, turning the skies into the next data center frontier. As Earth’s power limits loom, Musk’s vision, combined with Google’s ambition, could position space not as sci-fi, but as the scalable solution for humanity’s computational future.
Investor's Corner
Legendary investor Ron Baron says Tesla and SpaceX stock buys will continue
In a wide-ranging appearance on CNBC’s Squawk Box on May 12, legendary investor Ron Baron, founder, CEO, and portfolio manager of Baron Capital, reaffirmed his deep conviction in Elon Musk’s two flagship companies.
Legendary investor Ron Baron says he will continue buying stock of both Tesla and SpaceX, as he continues his support behind CEO Elon Musk, who he says is a special person and “brilliant.”
In a wide-ranging appearance on CNBC’s Squawk Box on May 12, legendary investor Ron Baron, founder, CEO, and portfolio manager of Baron Capital, reaffirmed his deep conviction in Elon Musk’s two flagship companies.
With assets under management approaching $55–56 billion, Baron detailed his firm’s substantial holdings, outlined plans for the anticipated SpaceX IPO, and painted an exceptionally optimistic picture for both Tesla (NASDAQ: TSLA) and SpaceX, framing them as generational opportunities that will reshape industries and deliver extraordinary long-term returns.
Baron Capital’s position in SpaceX has grown dramatically since the firm began investing around 2017. What started as roughly $1.7 billion has ballooned to more than $15 billion, making it the firm’s largest holding.
Tesla ranks second, valued at approximately $5 billion in the portfolio. Together with stakes in xAI and related Musk-led ventures, these investments account for roughly one-third of Baron Capital’s $60 billion in lifetime profits since 1992. Baron emphasized that the growth stems from Musk’s singular ability to execute ambitious visions—from reusable rockets to global satellite internet and beyond.
The centerpiece of the discussion was SpaceX’s expected initial public offering, targeted for mid-2026 following a confidential S-1 filing. Baron announced plans to purchase an additional $1 billion in shares at the IPO.
Ron Baron said today that he plans on buying an additional $1 billion of SpaceX stock during the upcoming IPO:
“At the IPO price, I’ve got an order for $1 billion. I want to buy more stock at the IPO. I don’t know if we’re going to get filled, but we’re going to try. I believe… pic.twitter.com/KOv1HvYcZ0
— Sawyer Merritt (@SawyerMerritt) May 12, 2026
He described the company’s trajectory in sweeping terms: “This is going to become the largest company on the planet.”
He highlighted Starlink’s expansion of high-speed internet to every corner of the globe, the revolutionary economics of reusable rockets, and Starship’s potential to enable massive space-based data centers and interplanetary infrastructure.
Baron sees SpaceX not merely as a rocket company but as a platform poised for exponential scaling once it goes public, with post-IPO appreciation potentially reaching 10- to 20- or even 30-times current levels over the next decade or more.
On Tesla, Baron struck an equally enthusiastic note, declaring that “now is Tesla’s moment.” He projected the stock could reach $2,000 to $2,500 per share within 10 years—implying a market capitalization near $8.3 trillion and roughly 5–6 times upside from recent levels. While Tesla remains a major holding, Baron’s optimism centers on its evolution beyond electric vehicles into an AI, robotics, autonomous-driving, and energy platform.
He pointed to robotaxis, Full Self-Driving (FSD) technology, Optimus humanoid robots, energy storage, and the vast real-world data advantage from Tesla’s global fleet as catalysts that will fundamentally alter the company’s revenue model and valuation multiples. Baron views these developments as transformative, shifting Tesla from a traditional automaker to a high-margin technology and infrastructure powerhouse.
Throughout the interview, Baron’s admiration for Musk was unmistakable. He has likened the entrepreneur to a modern Leonardo da Vinci for his artistic, multidisciplinary approach to solving humanity’s biggest challenges.
Baron’s personal commitment mirrors this confidence: he has repeatedly stated he does not expect to sell a single share of his own Tesla or SpaceX holdings in his lifetime, positioning himself as the “last one out” after his clients. This stance underscores a philosophy of patient, long-term ownership rather than short-term trading.
Baron’s comments arrive at a time of heightened anticipation around SpaceX’s public debut, which could rank among the largest IPOs in history and potentially value the company at $1.5–2 trillion or more at listing.
For investors, his message is clear: the Musk ecosystem—spanning electric vehicles, autonomy, robotics, satellite communications, and space exploration—represents one of the most compelling secular growth stories of the era. While short-term volatility in tech and EV stocks may persist, Baron sees these as buying opportunities for those who share his multi-decade horizon.
In summarizing his outlook, Baron reinforced that the combination of technological breakthroughs, massive addressable markets, and Musk’s leadership creates asymmetric upside that few other investments can match.
For Baron Capital’s clients and long-term Tesla and SpaceX shareholders alike, the investor’s latest CNBC remarks serve as both validation and a call to remain patient through the inevitable ups and downs. As Baron sees it, the best days for both companies—and the returns they can deliver—are still ahead.
Tesla patent aims to make massive change to common automotive part
SpaceX and Google mull massive partnership on Musk’s orbital data dream: report
