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Tesla Giga Shanghai staff to help Fremont Factory become more efficient: report

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If there is one thing that Tesla China’s team at Gigafactory Shanghai knows very well, it is how to improve the output of an electric vehicle factory. With this in mind, it appears that Tesla is looking to tap into the talents of its Giga Shanghai team to help the Fremont Factory increase its output. 

Tesla’s original electric vehicle plant is the Fremont Factory, which the company acquired in 2010. But while the factory itself has been responsible for much of the company’s growth over the years, it is, at its core, designed to produce internal combustion cars. It was then unsurprising that eventually, Giga Shanghai, which was built from the ground up as an EV factory, was able to overtake the Fremont Factory in output. 

Citing people reportedly familiar with the matter, Bloomberg News noted that about 200 people from Giga Shanghai would be heading to California on assignments that will last at least three months. The publication’s sources noted that the first workers are setting off as soon as this month. The Tesla China staff, which will reportedly be comprised of automation and control engineers, would be tasked with helping increase the productivity of the Fremont plant. 

Tesla China has not issued a comment about the matter. 

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Tesla China has made remarkable progress in Gigafactory Shanghai. The electric vehicle maker delivered a record 83,135 cars in China in September following upgrades to the facility, which took about five weeks. The upgrades to Giga Shanghai are expected to have improved the facility’s output to about 1 million vehicles per year. 

The improvements to Giga Shanghai were teased in the shortened delivery dates of the Made-in-China Model Y, which are now as short as 1-4 weeks. Previously, the estimated wait time for the vehicle went as far as 22 weeks. 

For context, Tesla’s Fremont Factory is able to produce about 650,000 cars per year. Even in its state, however, the Fremont plant already stands as one of the United States’ most productive car factories. With the help from Giga Shanghai’s team, there seems to be little doubt that Fremont would become even better. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla to discuss expansion of Samsung AI6 production plans: report

Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.

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Credit: Tom Cross

Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics. 

As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.

Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.

Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).

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Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.

Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.

The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.

The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.

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Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.

Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.

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Elon Musk: Tesla could be first to build AGI in humanoid form

Musk’s statement was shared in a post on social media platform X.  

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Credit: Tesla

Elon Musk predicted that Tesla could become one of the developers of Artificial General Intelligence (AGI) in humanoid form. Musk’s statement was shared in a post on social media platform X.  

In his post, Musk stated that “Tesla will be one of the companies to make AGI and probably the first to make it in humanoid/atom-shaping form.”

The comment comes as Tesla expands development of its Optimus humanoid robot.

During Tesla’s Q4 earnings report, Elon Musk stated that production of the Model S and Model X would be phased out at its Fremont, California, facility. The vehicles’ production line will then be converted to a pilot line for Optimus. Tesla is looking to produce 1 million units of the humanoid robots annually to start.

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Musk has previously stated that Optimus could eventually function as a von Neumann probe. The concept, proposed by mathematician John von Neumann, describes a machine capable of replicating itself using planetary resources and sending those replicas to other worlds.

Optimus would likely only be able to achieve this potential if it manages to achieve Artificial General Intelligence.

Other leaders in the AI sector have also expressed strong expectations about AGI’s potential. Demis Hassabis, CEO of Google DeepMind, recently spoke about the technology at the India AI Impact Summit 2026, as noted in a Benzinga report.

“It’s going to be something like ten times the impact of the Industrial Revolution, but happening at ten times the speed,” Hassabis said.

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Elon Musk’s recent comments about Tesla producing a product with AGI could hint at further collaboration among his companies. So far, Tesla is actively pursuing autonomous driving, but it is xAI that is pursuing AGI with its Grok program.

Considering that Elon Musk mentioned a Tesla humanoid product with AGI, it appears that an Optimus robot running xAI’s AI models could become a reality.

xAI had recently merged with SpaceX, though reports suggest that Elon Musk is also considering an even bigger merger for all his companies, including Tesla.

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Tesla influencers argue company’s polarizing Full Self-Driving transfer decision

Tesla maintains it will honor transfers for orders with initial delivery windows before the deadline and offers full deposit refunds otherwise, citing longstanding fine print that the program is “subject to change at any time.”

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Tesla’s decision to tighten its Full Self-Driving (FSD) transfer promotion has ignited fierce debate among owners and enthusiasts.

The company quietly updated its terms in late February 2026, changing the eligibility from “order by March 31, 2026” to “take delivery by March 31, 2026.”

What began as a flexible incentive to boost sales, allowing buyers to transfer their paid FSD (Supervised) to a new vehicle, now excludes many, particularly Cybertruck owners facing delivery delays into summer or later.

Tesla maintains it will honor transfers for orders with initial delivery windows before the deadline and offers full deposit refunds otherwise, citing longstanding fine print that the program is “subject to change at any time.”

The reversal has polarized the Tesla community, with accusations of a “bait-and-switch” clashing against defenses of corporate pragmatism. Many owners who placed orders under the original wording feel betrayed, especially as production backlogs and new unsupervised FSD rollout complicate timelines.

However, Tesla has allowed them to cancel their orders and receive a refund.

Critics of the decision argue that the change disadvantages loyal customers who helped fund FSD development, calling it poor communication and a revenue grab as Tesla pivots toward subscriptions.

Popular influencers have amplified the divide. Whole Mars Catalog struck a measured but firm tone, acknowledging the original “order by” language but emphasizing Tesla’s right to adjust terms. He has continued to defend Tesla in this particular issue:

He criticized extreme backlash as “dramatization” and “spoiled kids,” noting the unsupervised FSD era and broader sales challenges make blanket transfers financially risky. Whole Mars advocated for polite outreach to CEO Elon Musk over the issue.

In a contrasting perspective, Dirty TesLA voiced sharper frustration, posting that blocking transfers feels “crazy” and distancing himself from “people that want to worship a corporation and say they can do no wrong.” His stance resonated with owners who view the policy flip as disrespectful to early adopters.

Popular Tesla influencer Sawyer Merritt captured the frustration felt by thousands. In a widely shared thread viewed over 700,000 times, Merritt detailed how pre-change Cybertruck orders now risk losing FSD eligibility unless their initial delivery window falls before March 31.

The controversy underscores deeper tensions—between Tesla’s need for revenue discipline and owners’ expectations of goodwill. As FSD evolves toward unsupervised capability, the community remains split: some see the change as necessary business, others as a broken promise. Whether Tesla reconsiders under pressure or holds firm remains to be seen, but it does not appear they are planning to budge.

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