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Tesla asks customers with pending orders to reconfigure before deadline

Credit: Tesla

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After Tesla debuted new range estimates for its vehicles this week, the automaker has started emailing customers with pending orders to ask them to reconfigure in the next few days.

Tesla made adjustments to its range estimates for the Model S, Model X and Model Y, as we reported on Thursday, and the company is now asking buyers with pending orders for the vehicles to update their configurations by January 10 (via Sawyer Merritt). The news was shared in emails to buyers this week, seemingly informing customers of the updated range estimates to ensure that they agree before taking delivery of their vehicles, which are now estimated to have less range than when purchased.

In addition to the updates in accordance with new range estimates from the EPA, Tesla says it has added a number of “comfort and functionality improvements,” which use up more energy from the vehicles’ battery packs than before. If users don’t update their configurations in time, their orders will be canceled and order fees refunded.

“To move forward with your order, please reconfigure your Model X at your earliest convenience,” Tesla wrote in one of the emails to a Model X buyer. “We received updated EPA range estimates for Model X Long Range that are slightly lower than when you placed your order. This update is a result of several comfort and functionality improvements we’ve made across our vehicles, which require more energy from the battery pack.

“The EPA also updated their range testing guidance to ensure sticker estimates for all manufacturers more closely reflect real-world range, impacting previous range estimates for all manufacturers, not just Tesla.”

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Following the original post, Merritt also noted that the email was going out to buyers of the Model S and Y, in addition to the Model X.

The range adjustments took place after the EPA implemented a new strategy for performing range testing, originally shared in 2022 though it officially went into effect with 2024 model year vehicles. Along with range adjustments, Tesla also reduced the top speed of one vehicle

Tesla has made the following adjustments:

  • Model Y Long Range: range reduced to 310 miles (from 330)
  • Model Y Performance: range reduced to 285 miles (from 303)
  • Model X Plaid: range reduced to 326 miles (from 333)
  • Model S Plaid: range reduced to 359 miles (from 396)
  • Model S AWD: top speed reduced to 130 mph (from 149)

Along with the new range estimates, Tesla interestingly also debuted two new colors for the Model Y, now offering the SUV in Stealth Grey and Ultra Red, which were previously only available for the Model S and X.

Tesla Cybertruck’s first real-world range test yields 254-mile range

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla FSD V14 gets tentative release date

The update will feature a 10X higher parameter count, among other improvements.

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Credit: Whole Mars Catalog/YouTube

Tesla is not releasing Unsupervised FSD to regular customers yet, but the company seems to be preparing something special for its FSD users nonetheless. 

This was, at least, according to Elon Musk in a recent post on X.

Tesla FSD V14

Tesla’s FSD program has been deemed by Elon Musk as one of the key factors that would determine the company’s long term success. Over the past months, however, Tesla has mostly been focusing on the rollout and ramp of its Robotaxi program in Austin and the Bay Area. Tesla’s Robotaxi service uses Unsupervised FSD, which is not yet released to customers.

However, in a post on X, Musk stated that Tesla is preparing its next big update for its consumer-grade FSD system—V14. Musk did not provide a lot of details about FSD V14’s capabilities, but the CEO did state that the update will feature a 10X higher parameter count, among other improvements.

“The FSD release in about 6 weeks will be a dramatic gain with a 10X higher parameter count and many other improvements. It’s going through training & testing now. Once we confirm real-world safety of FSD 14, which we think will be amazing, the car will nag you much less,” Musk wrote in his post.

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Tesla Unsupervised FSD Rollout

During the second quarter earnings call, Tesla executives were asked for a timeline on the rollout of Unsupervised FSD to consumer vehicles. In his reply, Musk stated that he believes Unsupervised FSD will be available for consumers in certain geographies. He did explain that Tesla will be extra careful with the system’s release. 

“We are getting there. I think it will be available for unsupervised personal use by the end of this year in certain geographies. We are just being very careful about it. This is not something we should rush,” Musk said, adding that “I am confident that by this year, within a number of cities in the US, it will be available to end users.

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Elon Musk reaffirms Tesla Semi mass production in 2026

The Tesla Semi factory near Giga Nevada is expected to be capable of producing 50,000 units of the Class 8 all-electric truck per year.

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Credit: Tesla Semi/X

Elon Musk has reaffirmed the Tesla Semi’s mass production date. He mentioned the update in a post on social media platform X during the weekend.

Tesla Semi Factory

The Tesla Semi was initially unveiled in late 2017, and its first deliveries were held in December 2022. Since then, Tesla has only been delivering the Semi to a handful of customers while it builds a dedicated factory for the Class 8 all-electric truck near its Giga Nevada facility.

Drone flyovers of the Tesla Semi factory over the past months have suggested that progress in the construction of the facility has been steady. More recent flyovers have even suggested that Tesla is now busy outfitting the facility with the necessary equipment for the mass production of the Semi.

Elon Musk’s Recent Comments

In a recent comment on X, Elon Musk reiterated the idea that the Semi was indeed expected to be mass produced in 2026. Musk shared his update as a response to a Tesla bull who recalled that Bill Gates did not believe that the Semi was feasible due to the limitations of battery technology. In his response, Musk posted a laughing emoji together with “Tesla Semi will be in volume production next year.” 

The Tesla Semi factory near Giga Nevada is expected to be capable of producing 50,000 units of the Class 8 all-electric truck per year. While this number may not be attained by the facility right out of the gate, it would only be a matter of time before the factory manages to hit an optimal production rate.

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In a video posted on social media earlier this year, Dan Priestley, who leads the Semi program at Tesla stated that the company is preparing for volume production over the coming quarters. With such a pace, the factory should be able to mass produce the Semi in 2026. 

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Elon Musk confirms Tesla AI6 chip is Project Dojo’s successor

Tesla’s AI5 and AI6 chips are expected to be rolled out to the company’s consumer products.

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tesla-supercomputer-pre-dojo
Credit: Tim Zaman/Twitter

Earlier this week, reports emerged stating that Tesla has stepped back from its Project Dojo initiative. While the reports were initially framed as a negative development for the electric vehicle maker’s autonomous driving efforts, CEO Elon Musk later noted on X that Tesla was indeed halting its Dojo initiative.

Elon Musk’s Confirmation

As per Musk, Tesla was shuttering Project Dojo because it does not make sense for the company to divide its resources and scale two different AI chip designs. Dojo, after all, is designed to train the company’s autonomous driving program, and thus, it would not be rolled out to Tesla’s consumer products.

In a series of posts on X, Musk stated that it would make sense to just use Tesla’s AI5/AI6 to train its FSD and Autopilot systems. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk said.

Tesla’s AI5 and AI6 chips are expected to be rolled out to the company’s consumer products, from Optimus to the Cybercab to the next-generation Roadster.

AI6 is Dojo’s Successor

What was particularly interesting about Musk’s comment was his mention of using AI5/AI6 chips for training. As per Musk, this strategy could be seen as “Dojo 3” in a way, since the performance of Tesla’s AI5 and AI6 chips is already notable. Musk’s comment about using AI6 chips for training caught the eye of many, including Apple and Rivian alumnus Phil Beisel, who noted that “AI6 is now Dojo.”

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“Dojo is Tesla’s AI training supercomputer, built around a custom chip known as the D1. The D1 and AI5/AI6 share many core design elements, particularly the math operations used in neural networks (e.g., matrix multiplication) and highly parallel processing.

“Dojo had a unique feature: chips arranged in a 5×5 grid using a system-on-wafer design, with etched interconnects enabling high-speed data transfer. In a sense, Dojo will live on as the generalized AI6. Going forward, all efforts will focus on AI6,” the tech veteran wrote in a post on X.

Elon Musk confirmed the Apple alumnus’ musings, with the CEO responding with a “bullseye” emoji. Musk is evidently excited for Tesla’s AI6 chip, which is expected to produced by Samsung’s upcoming Texas fabrication facility. In a post on X, Musk stated that he would personally be walking Samsung’s line to accelerate the output of Tesla’s AI6 computers.

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