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Sighting of Tesla Model S with LIDAR suggests Autopilot 2.0 could be self-driving

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A recent sighting of a white Model S equipped with LIDAR hardware suggests that Tesla’s next generation Autopilot 2.0 could be coming with advanced self-driving capabilities and additional safety measures. The Tesla seen in the photo is mounted with a laser detection system capable of generating complex 3D maps of its surroundings in real-time and allow a vehicle to accurately detect distance to objects. The roof-mounted hardware is perhaps best known as being the clunky device used on Google’s self-driving test vehicle, often seen cruising through the streets of Silicon Valley.

This latest sighting took place near Tesla’s headquarters in Palo Alto, CA on the very same day the company announced the tragic accident that took the life Model S owner Joshua Brown. Early Tesla adopter and notable community member Tesla Owner captured the photo of a white Model S with overhead LIDAR and adorned with a Stanford branded license plate bracket and rear windshield. Doubting that Stanford University would use a near $100k Model S for the purpose of student projects, Tesla Owner followed the vehicle until it turned directly into Tesla headquarters.

“My suspicions were confirmed that this was a Tesla corporate vehicle when I saw it enter the back parking lot of Tesla headquarters!”

via Tesla Owner blog.

White-Tesla-Model-S-LIDAR-Autopilot-2

Tesla CEO Elon Musk has previously suggested that the use of LIDAR technology is not needed for autonomous driving. “I don’t think you need LIDAR … you can do this all with passive optical and then with maybe one forward radar”, Musk said during a press conference last October. “I think that completely solves it without the use of LIDAR. I’m not a big fan of LIDAR, I don’t think it makes sense in this context.”

Despite Musk’s stated case against LIDAR, industry experts believe self-driving cars will require multiple detection systems including the use of infrared LIDAR technology if vehicles are to remain safe at high speeds. In the case of Brown’s fatal accident which saw his Autopilot enabled Model S crash into a white tractor trailer against a brightly lit sky, the vehicle’s cameras were not able to differentiate between the high ride-height of the trailer from an overhead freeway sign. The light sensing radar with lasers of the LIDAR system would have been able to address such use case.

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We know other Teslas has been previously spotted testing presumably Autopilot 2.0 as seen in our sighting of a classic Model S retrofitted with new fascia and an array of sensors including dual cameras.

Tesla Model S test mule with presumed Autopilot 2.0 hardware

Though Tesla has not officially confirmed with us that the recent test mule sightings are in fact a result of the company testing its next-generation Autopilot, the use of a LIDAR along with its suite of sensors including cameras, ultrasound and radar would suggest that we’re in for something good. Really good. Hashtag Model 3.

I'm friendly. You can email me. gene@teslarati.com

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Tesla Model Y Standard Long Range RWD launches in Europe

The update was announced by Tesla Europe & Middle East in a post on its official social media account on X.

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Credit: Tesla Europe & Middle East/X

Tesla has expanded the Model Y lineup in Europe with the introduction of the Standard Long Range RWD variant, which offers an impressive 657 km of WLTP range. 

The update was announced by Tesla Europe & Middle East in a post on its official social media account on X.

Model Y Standard Long Range RWD Details

Tesla Europe & Middle East highlighted some of the Model Y Standard Long Range RWD’s most notable specs, from its 657 km of WLTP range to its 2,118 liters of cargo volume. More importantly, Tesla also noted that the newly released variant only consumes 12.7 kWh per 100 km, making it the most efficient Model Y to date. 

The Model Y Standard provides a lower entry point for consumers who wish to enter the Tesla ecosystem at the lowest possible price. While the Model 3 Standard is still more affordable, some consumers might prefer the Model Y Standard due to its larger size and crossover form factor. The fact that the Model Y Standard is equipped with Tesla’s AI4 computer also makes it ready for FSD’s eventual rollout to the region. 

Top Gear’s Model Y Standard review

Top Gear‘s recent review of the Tesla Model Y Standard highlighted some of the vehicle’s most notable features, such as its impressive real-world range, stellar infotainment system, and spacious interior. As per the publication, the Model Y Standard still retains a lot of what makes Tesla’s vehicles well-rounded, even if it’s been equipped with a simplified interior.

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Top Gear compared the Model Y Standard to its rivals in the same segment. “The introduction of the Standard trim brings the Model Y in line with the entry price of most of its closest competition. In fact, it’s actually cheaper than a Peugeot e-3008 and costs £5k less than an entry-level Audi Q4 e-tron. It also makes the Ford Mustang Mach-E look a little short with its higher entry price and worse range,” the publication wrote. 

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Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project

The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.

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Credit: Governor Tate Reeves/X

Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history. 

The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.

xAI goes MACROHARDRR in Mississippi

xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference. 

Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.

Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said. 

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xAI’s broader AI ambitions

To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.

Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.

Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said. 

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Tesla AI Head says future FSD feature has already partially shipped

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Credit: Tesla

Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.

Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.

Back in October on the Q3 Earnings Call, Musk said:

“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”

Musk said in the same month:

“By v14.3, your car will feel like it is sentient.”

Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.

On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.

He added that “more and more reasoning will ship in Q1.”

Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.

Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad

As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).

Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.

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