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.
Elon Musk
Elon Musk just confirmed the Tesla and SpaceX merger step everyone was waiting for
Tesla and SpaceX formed special committees to weigh a merger, and Elon Musk supports it.
Elon Musk confirmed Tuesday that Tesla and SpaceX have each formed special committees of independent directors to study a possible merger, the first formal step toward combining the two companies after months of speculation.
Musk made the disclosure during SpaceX’s third quarter earnings call. “Both SpaceX and Tesla have formed special committees to discuss this idea at the request of shareholders,” he said. “Because I’m a conflicted party, I can’t actually be in the discussions of the special committees.” He described the setup as “an odd kabuki dance where two groups of people are talking and I can’t be in the conversation.”
Musk did not hide where he stands. “Do I think it would be a good idea? Yes,” he said, pointing to shared work on super intelligence software, chip design, the Terafab facility in Austin, robotics, mass to orbit and connectivity. “I do think there’s a lot of merit to combining the companies as we are pretty much in the super intelligence singularity.”
He also tried to cool expectations. The committees have not agreed on terms for any transaction, and Musk said assuming a merger is a certainty “would be overstating it.” Any deal would go to shareholders, and on the Tesla side it would need approval from 50 percent of all outstanding shares, not just the shares that are voted. Musk called that “quite a high hurdle.”
That bar has tripped Tesla up before. The company’s 2025 attempt to declassify its board won support from only 39.4 percent of outstanding shares and failed. Musk’s own voting stake sits near 20 percent after he exercised his 2018 options in June, so a deal would need broad backing from institutions and a retail base that often leaves votes uncast.
Timing is another open question. Tesla filed its proxy statement Monday for its December 3 annual meeting, and the ballot has only three items: director elections for Musk, Robyn Denholm and JB Straubel, a say on pay vote and auditor ratification. Barclays analyst Dan Levy had argued that an announcement would need to land by late October or early November to make the annual meeting, as Teslarati noted in its SpaceX earnings preview. With no terms agreed, any vote would likely require its own special meeting.
Elon Musk gives his most telling Tesla-SpaceX merger conversation yet
Musk has been edging toward this for weeks. At the All-In Summit in September, he asked “who can imagine what action one might take when there’s so much close collaboration,” Teslarati reported. Last week’s Roadster unveil, built around SpaceX derived cold gas thrusters, pushed the talk further. The two companies already share the Terafab chip project, and Tesla holds a small SpaceX stake that came from its earlier investment in xAI.
SpaceX brought strong numbers to the conversation. It reported Q3 revenue of $14.58 billion, up 161 percent year over year, with its Super Intelligence segment now its largest at $7.56 billion. A higher SpaceX valuation would shape any exchange ratio Tesla holders are offered.
Tesla reports its own third quarter results after the close on Wednesday, October 21. Investors had already ranked merger timing among the top retail questions for SpaceX’s call, and the committees will almost certainly come up again on Tesla’s.
SpaceX reported its third-quarter 2026 financial results on October 20, posting the company’s first solidly profitable quarter since going public earlier in the year under the ticker $SPCX.
Revenue reached $14.58 billion, up 161 percent year-over-year from $5.6 billion, and well ahead of consensus estimates in the $12.7 to $12.9 billion range. The results highlight a rapid shift in SpaceX’s center of gravity toward artificial intelligence/super intelligence, while Starlink and traditional space operations continue to show robust progress.
Here are the key financial results for the quarter:
- Revenue of $14.58 billion (+161% YoY)
- Adjusted EBITDA of $8.8 billion (+306% YoY)
- GAAP net income of $4.4 billion (versus a $1.1 billion net loss in the prior-year quarter)
- Adjusted EPS of approximately $0.35 (versus roughly $0.13–0.16 expected)
- Income from operations of $2.8 billion
The AI/SI segment generated $7.56 billion in revenue, an 830 percent year-over-year increase, making it the company’s largest segment for the first time. Growth was primarily driven by the activation of major cloud services agreements, the integration of Cursor (acquired earlier in 2026), and rising usage of Grok models and the newly introduced Grok Bot personal agent.
🚨 SpaceX just reported earnings! Here are some highlights:
Financial:
Revenue $14.58B (+161% YoY) vs. consensus ~$12.7–12.9B
Adjusted EBITDA $8.8B (+306% YoY)
GAAP net income $4.4B (vs. prior-year loss; first solidly profitable quarter post-IPO)
Adjusted EPS ~$0.35 vs. ~$0.13–0.16 expectedSegments:
Super Intelligence (SI, formerly AI): $7.56B (+830% YoY) — now the largest segment, driven by cloud contracts, Cursor, and Grok.
Connectivity (Starlink): $5.25B (+69% YoY).
Space: $1.77B.Other highlights:
Starlink subscribers: 13.6M (+89% YoY).
Nameplate compute: 1.7 GW.
Capex: $19.6B (majority AI infrastructure).
Cash & marketable securities: ~$90B.
First revenue-generating Starship mission (26 V3 Starlink satellites, ~10× Falcon 9 downlink capacity per launch).— TESLARATI (@Teslarati) October 20, 2026
SI adjusted EBITDA reached $5 billion, and nameplate compute capacity stood at 1.7 GW at quarter-end, up from 1.4 GW in June and 0.6 GW a year earlier. Capital expenditures totaled $19.6 billion, with the majority allocated to AI infrastructure, including continued expansion of the Colossus facilities.
The Connectivity segment, which primarily surrounds Starlink, produced $5.25 billion in revenue, a 69 percent year-over-year and 22 percent sequentially. These are pleasant results to see and expected, considering how many airlines have adopted Starlink over the past year.
Starlink consumer subscribers reached 13.6 million, an 89 percent increase from the prior year, and a sequential gain of 1.6 million. Consumer average revenue per user improved to $69. Meanwhile, Enterprise and Government revenue also grew strongly, and Starlink is now installed on more than 3,800 aircraft, making internet more accessible and better performing than previous options.
The Space segment also performed well and contributed $1.77 billion in revenue, up 6 percent year-over-year and 84 percent sequentially. A major milestone was the successful first revenue-generating Starship mission (Flight 14), which deployed 26 V3 Starlink satellites. Those satellites added roughly 10 times the downlink capacity of a typical Falcon 9 Starlink launch.
SpaceX completed 12 customer launches during the quarter, including NASA’s Nancy Grace Roman Space Telescope mission, and continued to grow its backlog of crewed, national security, and commercial flights.
CFO commentary noted that the combination of launch leadership, recurring Starlink revenue, and rapid SI expansion is producing meaningful operating leverage.
The company ended the quarter with roughly $90 billion in cash and marketable securities, providing substantial resources for ongoing investment while targeting an investment-grade balance sheet. Sequential revenue nearly doubled from the $7.81 billion reported in the second quarter, illustrating the pace of the AI-driven acceleration. Things are looking strong for SpaceX.
What’s incredibly striking is the fact that SI has grown to be larger than the rest of the company in such a short amount of time. CEO Elon Musk said on the earnings call that Grok Bot is the “fastest-growing product I’ve ever seen,” so it seems that it could be a true keystone of SpaceXSI over the next few years.
SpaceX (NASDAQ: SPCX) will report its second public earnings call today since its IPO earlier this year, and there are a few things we expect to hear about, as well as Wall Street analysts, who have already outlined their expectations for the call.
Wall Street analysts have a consensus of $12.72 billion in revenue and an earnings per share (EPS) of $0.13. These are broken down into three sectors: Space, Connectivity, and AI/SI, which are perceived in this way:
- Space: $1.41 billion
- Connectivity: $4.84 billion
- AI/SI: $6.47 billion
Other outlets cluster near $12.8 or $12.9 billion in revenue and $0.14 – $0.15 EPS. This implies a roughly 65 percent sequential growth from Q2’s $7.81 billion, driven mostly by AI/SI, with the first post-IPO positive EPS expected.
Here are the three things to watch for on the call:
AI Revenue Ramp and the $100B+ ARR target
AI is truly the swing factor for SpaceX, and analysts expect it to roughly double from Q2’s $2.56 billion and become about half of total revenue. Management previously guided to a $100 billion+ annualized run rate by December, including the Cursor acquisition, which was $60 billion, to close the quarter.
Listen for updates on SpaceX’s compute capacity, especially pertaining to its contracts with Google, Anthropic, and others, revenue per watt, any new deals, and Cursor’s early contribution.
Starlink/Connectivity Metrics and Mobile Expansion
Connectivity remains a main profit engine for SpaceX. Subscriber additions will be something to pay attention to, as Q2 ended at 12 million and previews are looking at 14 million for this quarter. Additionally, ARPU trends, enterprise and government growth, and any commentary on Starlink Mobile will be something to pay attention to, especially following the recent low-band spectrum deal and FCC-related constellation approvals.
Capex Trajectory, Cash Burn/FCF, and Starship/Operational Updates
Q2 capex of roughly $18.4 billion weighed on the stock. Investors will look to scrutinize Q3 spending levels, any guidance on the pace into Q4/2027, free cash flow, backlog, and liquidity. Operational color on Starship (Flight 14 milestones and Flight 15 timing/reusability progress), Falcon cadence, and government/NASA contracts are also in focus.
Of course, there will also be some speculation on the potential Tesla-SpaceX merger, but there was nothing mentioned in the company’s proxy it sent earlier this week.
SpaceX will report earnings after market close today and will stream the call on X.
Watch live as SpaceX discusses our Q3 2026 earnings at 3:30pm CT today → https://t.co/Qrb0qeVG15
— SpaceX (@SpaceX) October 20, 2026
Interested in ordering a Tesla? Use my referral code for three free months of Full Self-Driving (Supervised) here
Elon Musk just confirmed the Tesla and SpaceX merger step everyone was waiting for
SpaceX delivers blockbuster Q3 results as Super Intelligence segment booms
SpaceX reports its second earnings today: here’s what to expect
SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions
Tesla Roadster: Three configs, one can fly, 0-60 in 0.8 seconds
