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Elon Musk’s OpenAI is training robots through virtual reality (VR)

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Elon Musk’s non-profit AI research company OpenAI announced that it had successfully trained its artificial intelligence powered robots to perform a task after watching it once in virtual reality. This was accomplished by showing the robot how to stack a series of colored blocks in a virtual reality simulation. The robot was then able to successfully repeat the task after watching it only once.

The work done by OpenAI focused on performing the task in a simulated, virtual environment to enable more control over the specific nuances associated with tests such as lighting, shadows and backgrounds noise. Injecting simulated variety into the equation forces the robot to filter out noise while focusing only on the important elements needed to complete the task, much like human brains do without requiring conscious effort.

Finally, when the robot is presented with a similar environment in the physical world, it was able to translate the actions it observed in the virtual world into real actions. The robot was able to successfully stack a series of blocks in the same order it previously witnessed in the VR world.

“Our robot has now learned to perform the task even though its movements have to be different than the ones in the demonstration,” Josh Tobin, a member of OpenAI’s technical staff explained. “With a single demonstration of a task, we can replicate it in a number of different initial conditions. Teaching the robot how to build a different block arrangement requires only a single additional demonstration.”

This is significant because it has the potential to drastically speed up the time in which robots can be programmed. Instead of requiring hundreds of hours of manual coding, debugging and bug fixing, a robot could be trained to perform a task in a matter of minutes.

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One look at the Tesla vehicle assembly line in action makes it clear just how many robots are at work and thus, the immense amount of effort that was put into programming them to perform each task. This is the very same effort that is underway at Tesla right now as it programs its alien dreadnaught army of robots to assemble the Model 3.

I'm passionate about clean technology, sustainability and life. I've worked in manufacturing, IT, project management and environmental...and enjoy unpacking complex topics in layman's terms. TSLA investor. Find more of my words on my website or follow me on Twitter for all the latest. Tesla Referral link: http://ts.la/kyle623

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Tesla FSD fleet is nearing 7 billion total miles, including 2.5 billion city miles

As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles.

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Tesla’s Full Self-Driving (Supervised) fleet is closing in on almost 7 billion total miles driven, as per data posted by the company on its official FSD webpage. 

These figures hint at the massive scale of data fueling Tesla’s rapid FSD improvements, which have been quite notable as of late.

FSD mileage milestones

As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles. Tesla owner and avid FSD tester Whole Mars Catalog also shared a screenshot indicating that from the nearly 7 billion miles traveled by the FSD fleet, more than 2.5 billion miles were driven inside cities. 

City miles are particularly valuable for complex urban scenarios like unprotected turns, pedestrian interactions, and traffic lights. This is also the difference-maker for FSD, as only complex solutions, such as Waymo’s self-driving taxis, operate similarly on inner-city streets. And even then, incidents such as the San Francisco blackouts have proven challenging for sensor-rich vehicles like Waymos. 

Tesla’s data edge

Tesla has a number of advantages in the autonomous vehicle sector, one of which is the size of its fleet and the number of vehicles training FSD on real-world roads. Tesla’s nearly 7 billion FSD miles then allow the company to roll out updates that make its vehicles behave like they are being driven by experienced drivers, even if they are operating on their own. 

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So notable are Tesla’s improvements to FSD that NVIDIA Director of Robotics Jim Fan, after experiencing FSD v14, noted that the system is the first AI that passes what he described as a “Physical Turing Test.” 

“Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies,” Fan wrote in a post on X. 

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Tesla starts showing how FSD will change lives in Europe

Local officials tested the system on narrow country roads and were impressed by FSD’s smooth, human-like driving, with some calling the service a game-changer for everyday life in areas that are far from urban centers.

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Credit: Grok Imagine

Tesla has launched Europe’s first public shuttle service using Full Self-Driving (Supervised) in the rural Eifelkreis Bitburg-Prüm region of Germany, demonstrating how the technology can restore independence and mobility for people who struggle with limited transport options. 

Local officials tested the system on narrow country roads and were impressed by FSD’s smooth, human-like driving, with some calling the service a game-changer for everyday life in areas that are far from urban centers.

Officials see real impact on rural residents

Arzfeld Mayor Johannes Kuhl and District Administrator Andreas Kruppert personally tested the Tesla shuttle service. This allowed them to see just how well FSD navigated winding lanes and rural roads confidently. Kruppert said, “Autonomous driving sounds like science fiction to many, but we simply see here that it works totally well in rural regions too.” Kuhl, for his part, also noted that FSD “feels like a very experienced driver.”

The pilot complements the area’s “Citizen Bus” program, which provides on-demand rides for elderly residents who can no longer drive themselves. Tesla Europe shared a video of a demonstration of the service, highlighting how FSD gives people their freedom back, even in places where public transport is not as prevalent.

What the Ministry for Economic Affairs and Transport says

Rhineland-Palatinate’s Minister Daniela Schmitt supported the project, praising the collaboration that made this “first of its kind in Europe” possible. As per the ministry, the rural rollout for the service shows FSD’s potential beyond major cities, and it delivers tangible benefits like grocery runs, doctor visits, and social connections for isolated residents. 

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“Reliable and flexible mobility is especially vital in rural areas. With the launch of a shuttle service using self-driving vehicles (FSD supervised) by Tesla in the Eifelkreis Bitburg-Prüm, an innovative pilot project is now getting underway that complements local community bus services. It is the first project of its kind in Europe. 

“The result is a real gain for rural mobility: greater accessibility, more flexibility and tangible benefits for everyday life. A strong signal for innovation, cooperation and future-oriented mobility beyond urban centers,” the ministry wrote in a LinkedIn post

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Tesla China quietly posts Robotaxi-related job listing

Tesla China is currently seeking a Low Voltage Electrical Engineer to work on circuit board design for the company’s autonomous vehicles.

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Credit: Tesla

Tesla has posted a new job listing in Shanghai explicitly tied to its Robotaxi program, fueling speculation that the company is preparing to launch its dedicated autonomous ride-hailing service in China. 

As noted in the listing, Tesla China is currently seeking a Low Voltage Electrical Engineer to work on circuit board design for the company’s autonomous vehicles.

Robotaxi-specific role

The listing, which was shared on social media platform X by industry watcher @tslaming, suggested that Tesla China is looking to fill the role urgently. The job listing itself specifically mentions that the person hired for the role will be working on the Low Voltage Hardware team, which would design the circuit boards that would serve as the nervous system of the Robotaxi. 

Key tasks for the role, as indicated in the job listing, include collaboration with PCB layout, firmware, mechanical, program management, and validation teams, among other responsibilities. The role is based in Shanghai.

China Robotaxi launch

China represents a massive potential market for robotaxis, with its dense urban centers and supportive policies in select cities. Tesla has limited permission to roll out FSD in the country, though despite this, its vehicles have been hailed as among the best in the market when it comes to autonomous features. So far, at least, it appears that China supports Tesla’s FSD and Robotaxi rollout.

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This was hinted at in November, when Tesla brought the Cybercab to the 8th China International Import Expo (CIIE) in Shanghai, marking the first time that the autonomous two-seater was brought to the Asia-Pacific region. The vehicle, despite not having a release date in China, received a significant amount of interest among the event’s attendees. 

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