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Tesla Autopilot impresses in 79-minute ‘Torture Test’ through long winding roads
A Tesla Model 3 owner recently tested Autopilot’s abilities on the long and winding roads of the Blue Ridge Parkway in North Carolina. The 45.9-mile trip lasted 79 minutes, giving the driver a fair amount of insight regarding Autopilot’s performance with update 2020.16.2.1.
In a later comment on Reddit, the host of Youtube’s The Tech of Tech channel stated that he decided to test Autopilot’s capabilities on rainy, foggy roads stretching across the historic Blue Ridge Parkway in North Carolina.
“I did adjust the maximum speed to accommodate visibility due to fog as Autopilot doesn’t know to just slow down- it will shut off if it can’t see far enough for the speed. However, by lowering the maximum speed to what I’d want to drive anyway, Autopilot remains engaged. Other than that, all steering, braking, acceleration, etc. is done by the car and not me,” the driver wrote.
One notable feature of the update focused on Autopilot’s capability to slow down for sharp curves, which results in safer navigation through abrupt turns. For example, on a right turn, the car will drive closer to the right edge of the pavement, which provides a safer environment if two vehicles are driving through the same curve in opposite directions.
Tech of Tech indicates that the addition of the “Slowing for Sharp Curves” feature was the only reason the car could navigate the tricky roads of the Blue Ridge Parkway, which it did in impressive fashion.
Tesla rolled out a similar feature last year, but there were some issues with its performance that made some drivers feel uncomfortable. The company continually improved the capability, which was then released with 2020.16.2.1 to owners around May 16 this year, according to TeslaFi.com.
“This update introduced new slowing behavior. Autopilot slows much more for tight curves than before, and it does so much more smoothly than the aborted slowing behavior introduced when V10 first released,” the host said.
As could be seen in the video of the torture test, Autopilot managed to navigate through the various challenging sections of the Blue Ridge Parkway for 79 straight minutes before the car took a turn a bit too sharply, which required the driver to intervene. This instance was the only mistake that the car’s software made in almost 46 miles of driving, and that’s in questionable weather conditions and on a stretch of road that challenges even human drivers.
Tesla’s Autopilot software continues to improve through the millions of miles of driving data that owners contribute to the company’s Neural Network. Tesla CEO Elon Musk indicated during the company’s Q1 2020 Earnings Call that the Neural Net’s training was coming along nicely and that contributions were being assessed to improve the safety and performance of the company’s driver-assist features.
“We are collecting data from over 1 million intersections every month at this point. This number will grow exponentially as more people get the update, and as more people start driving again. Soon, we will be collecting data from over 1 billion intersections per month. All of those confirmations are training on neural net, essentially, the driver when driving and taking action is effectively labeling — the labeling reality as they drive, and making the neural net better and better,” Musk said.
Watch The Tech of Tech‘s Tesla Model 3 navigate the Blue Ridge Parkway below.
Elon Musk
Tesla director pay lawsuit sees lawyer fees slashed by $100 million
The ruling leaves the case’s underlying settlement intact while significantly reducing what the plaintiffs’ attorneys will receive.
The Delaware Supreme Court has cut more than $100 million from a legal fee award tied to a shareholder lawsuit challenging compensation paid to Tesla directors between 2017 and 2020.
The ruling leaves the case’s underlying settlement intact while significantly reducing what the plaintiffs’ attorneys will receive.
Delaware Supreme Court trims legal fees
As noted in a Bloomberg Law report, the case targeted pay granted to Tesla directors, including CEO Elon Musk, Oracle founder Larry Ellison, Kimbal Musk, and Rupert Murdoch. The Delaware Chancery Court had awarded $176 million to the plaintiffs. Tesla’s board must also return stock options and forego years worth of pay.
As per Chief Justice Collins J. Seitz Jr. in an opinion for the Delaware Supreme Court’s full five-member panel, however, the decision of the Delaware Chancery Court to award $176 million to a pension fund’s law firm “erred by including in its financial benefit analysis the intrinsic value” of options being returned by Tesla’s board.
The justices then reduced the fee award from $176 million to $70.9 million. “As we measure it, $71 million reflects a reasonable fee for counsel’s efforts and does not result in a windfall,” Chief Justice Seitz wrote.
Other settlement terms still intact
The Supreme Court upheld the settlement itself, which requires Tesla’s board to return stock and options valued at up to $735 million and to forgo three years of additional compensation worth about $184 million.
Tesla argued during oral arguments that a fee award closer to $70 million would be appropriate. Interestingly enough, back in October, Justice Karen L. Valihura noted that the $176 award was $60 million more than the Delaware judiciary’s budget from the previous year. This was quite interesting as the case was “settled midstream.”
The lawsuit was brought by a pension fund on behalf of Tesla shareholders and focused exclusively on director pay during the 2017–2020 period. The case is separate from other high-profile compensation disputes involving Elon Musk.
Elon Musk
SpaceX-xAI merger discussions in advanced stage: report
The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.
SpaceX is reportedly in advanced discussions to merge with artificial intelligence startup xAI. The talks could reportedly result in an agreement as soon as this week, though discussions remain ongoing.
The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.
SpaceX and xAI advanced merger talks
SpaceX and xAI have reportedly informed some investors about plans to potentially combine the two privately held companies, Bloomberg’s sources claimed. Representatives for both companies did not immediately respond to requests for comment.
A merger would unite two of the world’s largest private firms. xAI raised capital at a valuation of about $200 billion in September, while SpaceX was preparing a share sale late last year that valued the rocket company at roughly $800 billion.
If completed, the merger would bring together SpaceX’s launch and satellite infrastructure with xAI’s computing and model development. This could pave the way for Musk’s vision of deploying data centers in orbit to support large-scale AI workloads.
Musk’s broader consolidation efforts
Elon Musk has increasingly linked his companies around autonomy, AI, and space-based infrastructure. SpaceX is seeking regulatory approval to launch up to one million satellites as part of its long-term plans, as per a recent filing. Such a scale could support space-based computing concepts.
SpaceX has also discussed the feasibility of a potential tie-up with electric vehicle maker Tesla, Bloomberg previously reported. SpaceX has reportedly been preparing for a possible initial public offering (IPO) as well, which could value the company at up to $1.5 trillion. No timeline for SpaceX’s reported IPO plans have been announced yet, however.
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Tesla already has a complete Robotaxi model, and it doesn’t depend on passenger count
That scenario was discussed during the company’s Q4 and FY 2025 earnings call, when executives explained why the majority of Robotaxi rides will only involve one or two people.
Tesla already has the pieces in place for a full Robotaxi service that works regardless of passenger count, even if the backbone of the program is a small autonomous two-seater.
That scenario was discussed during the company’s Q4 and FY 2025 earnings call, when executives explained why the majority of Robotaxi rides will only involve one or two people.
Two-seat Cybercabs make perfect sense
During the Q&A portion of the call, Tesla Vice President of Vehicle Engineering Lars Moravy pointed out that more than 90% of vehicle miles traveled today involve two or fewer passengers. This, the executive noted, directly informed the design of the Cybercab.
“Autonomy and Cybercab are going to change the global market size and mix quite significantly. I think that’s quite obvious. General transportation is going to be better served by autonomy as it will be safer and cheaper. Over 90% of vehicle miles traveled are with two or fewer passengers now. This is why we designed Cybercab that way,” Moravy said.
Elon Musk expanded on the point, emphasizing that there is no fallback for Tesla’s bet on the Cybercab’s autonomous design. He reiterated that the autonomous two seater’s production is expected to start in April and noted that, over time, Tesla expects to produce far more Cybercabs than all of its other vehicles combined.
“Just to add to what Lars said there. The point that Lars made, which is that 90% of miles driven are with one or two passengers or one or two occupants, essentially, is a very important one… So this is clearly, there’s no fallback mechanism here. It’s like this car either drives itself or it does not drive… We would expect over time to make far more CyberCabs than all of our other vehicles combined. Given that 90% of distance driven or distance being distance traveled exactly, no longer driving, is one or two people,” Musk said.
Tesla’s robotaxi lineup is already here
The more interesting takeaway from the Q4 and FY 2025 earnings call is the fact that Tesla does not need the Cybercab to serve every possible passenger scenario, simply because the company already has a functional Robotaxi model that scales by vehicle type.
The Cybercab will handle the bulk of the Robotaxi network’s trips, but for groups that need three or four seats, the Model Y fills that role. For higher-end or larger-family use cases, the extended-wheelbase Model Y L could cover five or six occupants, provided that Elon Musk greenlights the vehicle for North America. And for even larger groups or commercial transport, Tesla has already unveiled the Robovan, which could seat over ten people.
Rather than forcing one vehicle to satisfy every use case, Tesla’s approach mirrors how transportation works today. Different vehicles will be used for different needs, while unifying everything under a single autonomous software and fleet platform.