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NVIDIA Debuts ‘Superchip’ Aimed at Self-Driving Cars

NVIDIA unveiled its Drive PX2 supercomputer at the 2016 Consumer Electronics Show in Las Vegas. It has the computing power of 150 MacBook Pros and is the size of a lunchbox.

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NVIDIA Drive PX2

Self driving cars are going to need a lot of computing power and NVIDIA will be there to fill the need. On Tuesday, it unveiled its newest supercomputer dubbed the Drive PX2, at CES 2016 in Las Vegas. NVIDIA chief Jen-Hsun Huang wowed the crowd during his keynote address by reeling off the specifications for his company’s latest amazing product.

The Drive PX2 has the processing power of 150 MacBook Pros, he says. It is packaged into a space about the size of a lunchbox. The Verge reports it has 12 CPU cores that enable a combined eight teraflops and 24 deep learning tera operations per second. The Drive PX2 is liquid cooled to keep its internals from overheating.

What can it do? According to Huang, the Drive PX2 can “process the inputs of 12 video cameras, plus lidar, radar and ultrasonic sensors.” Huang believes a true self driving car will need to have enough processing power on board to handle all the input it gets from the many built in sensors without having to rely on the cloud for assistance.

At last year’s GPU Conference, Elon Musk said, “What NVIDIA is doing with Tegra is really interesting and really important for self-driving in the future.” He told the audience that autonomous driving at speeds up to 10 mph is quite easy. Driving on the highway is also fairly easy to do. It is in urban settings at speeds between 10 and 50 mph with traffic lights and pedestrians added into the mix where autonomous driving becomes really hard.

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NVIDIA says its new computer is able to detect other cars even in snowy conditions and is can translate road signs in German “better than a human can.” Ford, Mercedes and BMW are using NVIDIA computers to power their autonomous driving systems. Volvo is the first car maker to say it will incorporate the Drive PX2 into its self driving cars.

Elon thinks the time will come when autonomous cars will be safer than cars with human drivers. He’s even gone as far as saying there may come a day when humans are banned from driving because they are too dangerous. When that day comes, NVIDIA autonomous driving supercomputers will be operating behind the scenes, whether in Teslas or other makes of cars, making it all possible. You can watch Jen-Hsun Huang’s presentation at CES in the video below.

 

 

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Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles

Tesla’s Full Self-Driving (Supervised) system has now surpassed 8.4 billion cumulative miles.

The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.

Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system.

The milestone also brings Tesla closer to a benchmark previously outlined by CEO Elon Musk. Musk has stated that roughly 10 billion miles of training data may be needed to achieve safe unsupervised self-driving at scale, citing the “long tail” of rare but complex driving situations that must be learned through experience.

The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. 

As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.

At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.

With the fleet now past 8.4 billion cumulative miles, Tesla’s supervised system is approaching that threshold, even as regulatory approval for fully unsupervised deployment remains subject to further validation and oversight.

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Credit: Tesla

Tesla’s Full Self-Driving (Supervised) system has now surpassed 8.4 billion cumulative miles.

The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.

Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system.

Credit: Tesla

The milestone also brings Tesla closer to a benchmark previously outlined by CEO Elon Musk. Musk has stated that roughly 10 billion miles of training data may be needed to achieve safe unsupervised self-driving at scale, citing the “long tail” of rare but complex driving situations that must be learned through experience.

The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. 

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As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.

At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.

With the fleet now past 8.4 billion cumulative miles, Tesla’s supervised system is approaching that threshold, even as regulatory approval for fully unsupervised deployment remains subject to further validation and oversight.

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Elon Musk fires back after Wikipedia co-founder claims neutrality and dubs Grokipedia “ridiculous”

Musk’s response to Wales’ comments, which were posted on social media platform X, was short and direct: “Famous last words.”

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk fired back at Wikipedia co-founder Jimmy Wales after the longtime online encyclopedia leader dismissed xAI’s new AI-powered alternative, Grokipedia, as a “ridiculous” idea that is bound to fail.

Musk’s response to Wales’ comments, which were posted on social media platform X, was short and direct: “Famous last words.”

Wales made the comments while answering questions about Wikipedia’s neutrality. According to Wales, Wikipedia prides itself on neutrality. 

“One of our core values at Wikipedia is neutrality. A neutral point of view is non-negotiable. It’s in the community, unquestioned… The idea that we’ve become somehow ‘Wokepidea’ is just not true,” Wales said.

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When asked about potential competition from Grokipedia, Wales downplayed the situation. “There is no competition. I don’t know if anyone uses Grokipedia. I think it is a ridiculous idea that will never work,” Wales wrote.

After Grokipedia went live, Larry Sanger, also a co-founder of Wikipedia, wrote on X that his initial impression of the AI-powered Wikipedia alternative was “very OK.”

“My initial impression, looking at my own article and poking around here and there, is that Grokipedia is very OK. The jury’s still out as to whether it’s actually better than Wikipedia. But at this point I would have to say ‘maybe!’” Sanger stated.

Musk responded to Sanger’s assessment by saying it was “accurate.” In a separate post, he added that even in its V0.1 form, Grokipedia was already better than Wikipedia.

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During a past appearance on the Tucker Carlson Show, Sanger argued that Wikipedia has drifted from its original vision, citing concerns about how its “Reliable sources/Perennial sources” framework categorizes publications by perceived credibility. As per Sanger, Wikipedia’s “Reliable sources/Perennial sources” list leans heavily left, with conservative publications getting effectively blacklisted in favor of their more liberal counterparts.

As of writing, Grokipedia has reportedly surpassed 80% of English Wikipedia’s article count.

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Tesla Sweden appeals after grid company refuses to restore existing Supercharger due to union strike

The charging site was previously functioning before it was temporarily disconnected in April last year for electrical safety reasons.

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Credit: Tesla Charging

Tesla Sweden is seeking regulatory intervention after a Swedish power grid company refused to reconnect an already operational Supercharger station in Åre due to ongoing union sympathy actions.

The charging site was previously functioning before it was temporarily disconnected in April last year for electrical safety reasons. A temporary construction power cabinet supplying the station had fallen over, described by Tesla as occurring “under unclear circumstances.” The power was then cut at the request of Tesla’s installation contractor to allow safe repair work.

While the safety issue was resolved, the station has not been brought back online. Stefan Sedin, CEO of Jämtkraft elnät, told Dagens Arbete (DA) that power will not be restored to the existing Supercharger station as long as the electric vehicle maker’s union issues are ongoing. 

“One of our installers noticed that the construction power had been backed up and was on the ground. We asked Tesla to fix the system, and their installation company in turn asked us to cut the power so that they could do the work safely. 

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“When everything was restored, the question arose: ‘Wait a minute, can we reconnect the station to the electricity grid? Or what does the notice actually say?’ We consulted with our employer organization, who were clear that as long as sympathy measures are in place, we cannot reconnect this facility,” Sedin said. 

The union’s sympathy actions, which began in March 2024, apply to work involving “planning, preparation, new connections, grid expansion, service, maintenance and repairs” of Tesla’s charging infrastructure in Sweden.

Tesla Sweden has argued that reconnecting an existing facility is not equivalent to establishing a new grid connection. In a filing to the Swedish Energy Market Inspectorate, the company stated that reconnecting the installation “is therefore not covered by the sympathy measures and cannot therefore constitute a reason for not reconnecting the facility to the electricity grid.”

Sedin, for his part, noted that Tesla’s issue with the Supercharger is quite unique. And while Jämtkraft elnät itself has no issue with Tesla, its actions are based on the unions’ sympathy measures against the electric vehicle maker. 

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“This is absolutely the first time that I have been involved in matters relating to union conflicts or sympathy measures. That is why we have relied entirely on the assessment of our employer organization. This is not something that we have made any decisions about ourselves at all. 

“It is not that Jämtkraft elnät has a conflict with Tesla, but our actions are based on these sympathy measures. Should it turn out that we have made an incorrect assessment, we will correct ourselves. It is no more difficult than that for us,” the executive said. 

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