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SF Motors set sights on EV mass production with latest R&D testing facility

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Santa Clara based electric vehicle startup SF Motors is opening up a new full-scale R&D center in Silicon Valley. SF Motors was founded in January 2016 after a large investment from Sokon Motors, a large Chinese automotive company. The company’s new 130,000 sqft research and development facility will be located in Milpitas, CA, roughly 6 miles away from SF’s headquarters.

The new facility, which is expected to be completed in Q4 ’18, will be capable of “small batch” manufacturing and development of manufacturing processes. The company is focusing on battery, powertrain, and autonomous vehicle development at the facility.

“Adding to our existing R&D labs, this new facility will conduct extensive design validation testing and small-scale manufacturing necessary to ensure a smooth transition to mass production of our batteries and electric powertrains, which are key components of our vehicles,” said SF Motors CTO Yifan Tang.

Yifan Tang joined SF Motors in February 2017. He was previously the technical lead on Facebook’s high-altitude long-range aircraft aimed at beaming internet across the globe. Before Facebook, Tang was VP of Drivetrain Engineering at Lucid Motors for three years and Principal Motor Technologist at Tesla for five years. During his time at Tesla Tang designed the motors for the Roadster, Model S, Mercedes B-Class/Toyota Rav4, and the prototype Model X AWD. Tang has a Ph.D. in electrical engineering from The Ohio State University and 35 U.S. patents.

In October 2017 SF Motors acquired Tesla co-founder Martin Eberhard’s battery module startup evINIT for $33M. Eberhard is now Chief Strategy Officer at SF Motors and the former CEO of evINIT, Mike Miskovsky, is Chief Development Officer. Eberhard served as the CEO of Tesla in its early years until late 2007.

Closing the loop from R&D to Manufacturing

SF Motors’ CTO Yifan Tang tells Teslarati that the new facility will help “close the loop from R&D to manufacturing,” and help accelerate the company to mass production. Tang describes the new facility as a key part of SF Motors strategy as they push forward to mass production.

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According to SF Motors, the company is already prepping manufacturing facilities in the U.S. and China. SF Motors purchased a 675,000 sqft plant in Indiana from AM General in November 2017. The company also has a massive factory in Chongqing, China, with nearly 8.4M sqft of manufacturing space that’s capable of producing 200,000 vehicles per year.

SF Motors’ new R&D Facility in Milpitas, California (Photo: Loopnet/McCarthy Creekside
Industrial Center)

SF’s Tang emphasized that the company’s abilities to produce small-batch trial production at their R&D facility will differentiate itself from other automotive manufacturers. The company plans to also produce battery cells at the facility and will test different cell configurations, modules, and battery pack sizes.

SF plans to produce a wide range of vehicles, and the ability to tweak cell chemistry along with module configurations will allow them to produce battery packs that are optimized for cost efficiency and performance.

The new R&D facility will house roughly 100 employees, but its proximity to the company’s headquarters allows the company to shift employees back and forth. “Drawing on our global business model and decades of manufacturing experience, locating this facility near our Silicon Valley headquarters will strategically ensure quality and efficiency as we prepare to bring our intelligent EVs to market,” Tang said in a press release.

SF Motors plans to start trial production of their vehicles at the end of this year.

Update at 10:35 am PT: An earlier version of this article incorrectly stated that SF Motors was a subsidiary of Sokon Motors. Sokon Motors was a large initial investor in SF Motors, but does not wholely own the company. 

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Christian Prenzler is currently the VP of Business Development at Teslarati, leading strategic partnerships, content development, email newsletters, and subscription programs. Additionally, Christian thoroughly enjoys investigating pivotal moments in the emerging mobility sector and sharing these stories with Teslarati's readers. He has been closely following and writing on Tesla and disruptive technology for over seven years. You can contact Christian here: christian@teslarati.com

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Elon Musk

Elon Musk follows Trump’s lead, says a SpaceX name change is coming

Elon Musk says SpaceXAI will become SpaceXSI, marking its second rebrand in under three months.

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Elon Musk wants to rename his artificial intelligence company again, less than three months after its last rebrand.

In a string of posts on X early Sunday morning, Musk wrote “No more AI,” followed by “SI” and “It’s better.” He then added, “SpaceX is a super intelligence company.” When a user asked whether SpaceXAI could become SpaceXSI, Musk replied, “Yes, we will make that change.”

The posts extend a terminology push that began at the White House last week. On September 29, President Donald Trump signed an executive order directing federal agencies to replace “artificial intelligence” and “AI” with “Super Intelligence” and “SI” on government websites, policy documents and press releases. The same day, Musk sat beside Trump as the heads of the largest AI companies signed a voluntary safety accord, as Teslarati reported. Speaking to reporters afterward, Musk caught himself mid sentence: “I think it is worth highlighting the positive benefits of A.I. … S.I., pardon me.”

Elon Musk and Trump are closer than ever, and Tesla could be the big winner

SpaceXSI would be the third name for the business since February. SpaceX acquired xAI on February 2 in a deal that valued the combined company at $1.25 trillion. In May, Musk said xAI would be dissolved as a separate company, and on July 6 the division adopted the SpaceXAI name and a new logo that placed the xAI letters inside the SpaceX identity.

Musk gave no timeline. He did not say whether SpaceXSI would be a legal name change or a branding update, whether the @SpaceXAI handle on X would change, or how the shift would apply to products like Grok. The company had not issued a formal announcement as of Sunday morning.

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The change would reach well beyond a chatbot. SpaceXAI now houses Grok, the X platform, the Colossus training clusters in Memphis and the coding tool Cursor, which SpaceX acquired in August. It also runs the orbital compute effort SpaceX is building around Nvidia hardware, which Musk said during the company’s first earnings call would be exclusive to Nvidia.

It’s unclear if rivals like Anthropic, OpenAI, Google, Meta and Nvidia have plans to also rename their companies or products. OpenAI CEO Sam Altman has continued to say “AI” in public, while Nvidia CEO Jensen Huang has gone partway, describing data centers as “super intelligence factories.”

The rename would also line up SpaceX’s AI branding with the federal government’s language as Musk takes on a new advisory role at the Pentagon, where he is helping lead the Project Meridian study on the future of warfare.

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Starlink launches Communities Program for passive income through internet sharing

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(Credit: Starlink | X)

Starlink is launching a new beta path for ordinary property owners and local operators to turn a single Starlink kit into a small shared-access business for passive income.

Under the Starlink for Communities program, a host installs one dish and router setup in a location with nearby demand: an apartment complex, campground, rural crossroads, or event site. Neighbors or local users can buy short-term passes rather than full individual subscriptions, giving the Starlink provider a potential path to passive income.

Hour, day, and week passes cover one device. A month pass covers up to four. Starlink handles account creation, payments, access controls, and the satellite link itself. The host’s role is mainly placement, power, and basic upkeep, with earnings tied to each paid connection.

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The model echoes the passive-income vision long attached to Tesla’s Robotaxi plans, and it seems like it’s something Musk has hinted toward in the past as he believes AI will make the need to work relatively optional. In both cases, the platform owns the hard parts of matching, billing, and network management, while an individual supplies a physical asset that sits idle much of the time.

A Starlink host’s dish can serve multiple nearby users without each household buying and installing its own terminal. A Tesla owner, under the stated Robotaxi concept, would leave a vehicle enrolled in the fleet during unused hours so the car generates rides while the owner is at work or asleep.

Both arrangements convert under-utilized hardware into a revenue stream. They also let the company scale coverage or capacity without owning every endpoint.

Differences are practical. A Starlink kit is a fixed, relatively low-cost terminal whose main constraint is local congestion and line-of-sight. A Tesla Robotaxi is a mobile, high-value vehicle whose earnings depend on demand density, utilization rates, insurance, cleaning, and charging.

Starlink’s program is already accepting host applications in multiple countries and describes the revenue split as ongoing. Tesla’s owner-network version remains more aspirational.

The company currently operates a limited company-controlled robotaxi service in select areas and has solicited interest from fleet buyers for Cybercab vehicles, while private Full Self-Driving owners have not yet been able to dispatch their own cars for paid rides at scale.

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Tesla primes Cybercabs for 4K streaming and high bandwidth gaming with Starlink integration

Starlink is a satellite broadband service operated by SpaceX that uses a constellation of low-Earth-orbit satellites to deliver internet to locations where terrestrial broadband is slow, expensive, or absent. It has grown to millions of subscribers worldwide by selling direct residential, mobile, and enterprise terminals, and have become widely available at a wide array at retail locations like Target and Best Buy.

The Communities program extends that reach by letting hosts resell short bursts of capacity to people nearby, while also providing high-speed internet access to those who are simply around a Starlink user.

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Tesla just made its headlights even better through a software update

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Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

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For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

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