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Mobileye to train self-driving cars with data submitted by automakers

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Ever since MobilEye, maker of the EyeQ3 chip used by Tesla’s Autopilot front-facing camera, severed ties with the Silicon Valley-based automaker, the Israeli company has been busy forging new alliances with other car companies. It’s ultimate goal is the same as Elon Musk’s — developing self driving technology as quickly as possible. The two former allies turned adversaries agree on the target but disagree on how to get there.

MobilEye says it is now concentrating on ways to train cars to drive themselves without using real-world testing through human drivers. The company intends to feed large amounts of data into computers that will create highly accurate simulations of the real world. It is asking the world’s automakers to provide it with the data from their own autonomous driving research in order to speed up development efforts.

What an autonomous car sees

“If you want to leverage many, many cars, you need to leverage as many carmakers as possible,” says Amnon Shashua, co-founder and CTO of Mobileye. According to the MIT Technology Review, he says his company has figured out a way to let carmakers share their information without losing control over their data. Shashua says Mobileye will announce several deals before the end of the year, starting with Volkswagen.

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The Israeli company relies heavily on deep learning networks which are trained to recognize visual information accurately. Until now, human editing of the learning process has been required but Mobileye says it is pioneering the use of “reinforcement learning.” That’s a process that rewards the computers involved for positive results, such as learning to recognize unfamiliar road signs without external assistance. Using reinforcement learning, a computer can learn to do things that would be exceedingly difficult to program.

Mobileye’s biggest obstacle is not software or hardware. Rather, it is convincing automakers to cooperate and share their data. “It makes a ton of sense for car companies to share data, particularly for a problem like this where a vast amount of diverse data is required.” says Karl Iagnaema, CEO of a startup called nuTonomy which is testing automated taxis in Singapore. “Typically, however, leaders are unwilling to pool resources, for fear of diluting their advantage. It makes sharing of resources difficult.”

Shashua says he hopes that Mobileye’s platform will serve as the gold standard for testing and verifying self-driving algorithms.

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Tesla teases going Plaid Mode with the Model 3

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Credit: Tesla

Tesla Vice President of Vehicle Engineering, Lars Moravy, recently revealed the company has thought about introducing a Plaid powertrain on the Model 3, but there could be some challenges involved.

On the Ride the Lightning podcast, Moravy revealed that he thinks about a Plaid Model 3 “all the time,” and it certainly has a place in Tesla’s potential lineup of future vehicles.

Now that the Plaid powertrain is technically defunct due to the newfound absence of the Model S and Model X, Tesla could find a way to reintroduce the lightning-quick trim level to its mass-market vehicles.

But there are going to be some challenges with it. Moravy said that the Model 3 Plaid would likely adopt the carbon-sleeved motors that the Model S Plaid had. However, packaging would be a major challenge, as Moravy said on the podcast, it would be a “tight engineering squeeze.”

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It’s important to note that there are no active production plans for the Model 3 Plaid at this point, but it’s also worth noting that with the Model S and Model X Plaid no longer available, Tesla would likely be willing to introduce something that is even more white-knuckle than the Model 3 Performance, which already boasts a 2.9-second 0-60 MPH acceleration rate and a top speed of 163 MPH.

Of course, there is the Roadster, but we don’t know when that will exactly make it to market, and we know that, for sure, it will not be accessible to many.

Tesla unveils juicy new detail on the Roadster and hints at new unveil timeline

Tesla has prided itself in building some of the best cars out there, but they’re also interested in building cars that are simply fun to be in.

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A Plaid Model 3 could truly push the limits and could end up being one of the best cars Tesla will ever build, especially if it can shave off at least half of a second from its 0-60 MPH time and increase its top speed slightly.

More than anything, the real changes will be in the ride and aerodynamics. Tesla improving things like the suspension, handling, and downforce will be the true trademarks of its Plaid powertrain; putting it in the Model 3 could be a great move for the company and for customers interested in high-end performance.

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NASA’s first human outpost on the Moon starts now – SpaceX on deck

NASA named the rovers, landers, and vendors that will build America’s first Moon Base.

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NASA has laid out its most detailed Moon Base plan to date, describing a permanent outpost near the Moon’s south pole that the agency intends to build over the coming decade as a direct stepping stone to Mars. “The Moon Base will be America’s and humanity’s first outpost on another celestial world,” NASA Administrator Jared Isaacman said, adding that every mission crewed and uncrewed “will be a learning opportunity as we return to the lunar surface, build the infrastructure to stay, and master the skills required to live and operate in one of the most demanding and dangerous environments imaginable.”

The plan is structured in three phases involving both uncrewed and crewed missions to deliver equipment, vehicles, and infrastructure to the surface, with the first three moon base missions targeted to launch before the end of 2026.

Moon Base I, targeting fall 2026, will use Blue Origin’s Blue Moon Mark 1 lander to deliver scientific instruments to the Shackleton Connecting Ridge, the same region where Artemis astronauts will land. Moon Base II will send Astrobotic’s Griffin lander carrying more than 1,100 pounds of cargo including Astrolab’s FLIP rover to begin developing mobility systems on the surface. Moon Base III will carry the Lunar Vertex science mission on Intuitive Machines’ Nova-C Trinity lander to study lunar swirls near the south pole, with ESA and Korean science payloads aboard.

Elon Musk pivots SpaceX plans to Moon base before Mars

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On the rover side, NASA awarded Astrolab $219 million and Lunar Outpost $220 million to build the first phase of Lunar Terrain Vehicles, with both rovers targeted for deployment to the lunar surface by 2028. Astrolab’s crewed rover weighs roughly 2,000 pounds and can reach over 6 mph. Lunar Outpost’s Pegasus rover can operate autonomously or via remote control at over 9 mph. Blue Origin separately received $188 million with an option worth $280.4 million to deliver cargo landers for rover transport.

NASA also confirmed that MoonFall, a mission deploying four survey drones to scout Artemis landing sites, has selected Firefly Aerospace to build the transport spacecraft, with a 2028 launch target.

SpaceX sits at the center of that commercial layer. SpaceX holds the NASA Human Landing System contract for the Starship-derived lander that will put astronauts on the surface under Artemis IV, currently targeting 2028. Before that can happen, SpaceX must demonstrate in-orbit propellant transfer at scale, a process requiring multiple Starship tanker launches to fuel a single mission. Water ice at the lunar south pole is central to the base’s long-term viability, as it can be converted into drinking water, breathable oxygen, and rocket fuel, directly reducing dependence on Earth resupply. That resource loop becomes far more practical if Starship can land and be refueled on or near the Moon itself.

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Elon Musk has publicly stated that Starship V3, which recently completed its first flight, should be capable enough for initial Mars missions. The Moon Base plan announced Tuesday is the infrastructure layer that connects everything between those two ambitions, and SpaceX is the only American company currently contracted to build the rocket that gets humans to either destination.

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Tesla patent reveals strategy for solving major Full Self-Driving, Optimus issue

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Credit: Tesla

A new Tesla patent that has been granted to the company this week has revealed a potential strategy for solving a major issue that could impact both the Full Self-Driving suite and Optimus.

The patent, which is No. 12,636,684, describes a “Lens Cleaning System,” and was submitted by Tesla in May 2025.

The language in the patent details a lens cleaning system that can dispense fluid and wipe it away with a wiper assembly.

This would effectively clean any debris that would potentially impact the visibility of the cameras on Tesla automobiles or Optimus’s camera eyes. Perhaps the most pertinent example is through the Full Self-Driving suite, as debris that can accumulate on the vehicle’s exterior cameras can impact the suite’s ability to operate effectively.

This requires a remedy through manual cleaning, but this patent hints that Tesla could be planning to implement this new technology on its upcoming vehicles.

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Interestingly, we have started to see it on some Robotaxi vehicles, and it will likely be included in the Cybercab, especially as that vehicle will enable full autonomy.

Back in January, the first Model Y Robotaxi units were spotted with camera washers on the side repeaters, as the video below shows fluid squirting and rinsing off any debris that is limiting visibility.

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This hardware patent does bring up an interesting question for those of us who own Teslas with AI4 and have been told that our cars will one day be capable of full autonomy: Will this washer be available as a retrofit on already-built cars?

Perhaps the “Lens Cleaning System” patent is a good look at one way Tesla plans to combat one of the most obvious issues of autonomy that utilizes a camera-based system. For Optimus, it could be less needed as it could be manually cleaned by owners. For cars, it seems like a bigger necessity, especially as autonomy nears and Tesla gets close to launching a feature-complete FSD suite.

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