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GM moves to match Tesla and Ford with new EV production

Credit:GM Authority

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GM is reportedly considering expanding EV production to its existing Ramos Arizpe plant in northern Mexico.

General Motors (GM) and other major American automakers have long had a presence South of the United States. Even now, vehicles like the Chevy Trax, Jeep Compass, and the ever-popular Chevy Silverado are produced en masse across the border in Mexico. Now, the most prominent American auto group is also considering expanding its EV production to Mexico.

The Mexican Economic Ministry announced that GM would be expanding EV production to the country via a tweet showing leaders from both parties discussing it yesterday.

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The first tweet reads:

“The [Economic Minister], Raquel Buenrostro, met with General Motors. They reported that by 2024 their industrial complex in Ramos Arizpe, Coahuila, will produce only electric vehicles. They announced the increase of 5,000 jobs, promoting the inclusion of gender in their workforce.”

The second tweet clarifies, saying:

“The increase in jobs has been generated during this six-year term in the San Luis Potosí and Ramos Arizpe plants, resulting in a total of 4,500.”

According to the tweet from the Mexican Ministry, the Ramos Arizpe plant will be shifting to 100% EV production this year and aims to begin full production sometime in 2024. This follows news that GM had been increasing its workforce in Mexico by roughly 4,500, according to a clarifying tweet from the Ministry.

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Mexico has become a hotspot for EV production over the past few years. Its location near the United States, cheaper labor, and its access to U.S. Federal EV incentives have made it a prime location for new EV production. This has attracted the likes of Ford and Tesla and is likely influencing brands like GM, Hyundai/Kia, and BMW, which already have significant production facilities in the country.

GM nor the Mexican Economic Ministry specified what vehicles the American auto giant would be producing at its revamped production facility, but it’s possible to make an educated prediction.

The Ramos Arizpe plant currently produces the Chevy Equinox and Chevy Blazer ICE vehicles. And coincidently, both of these vehicles will be available as electric models in the coming years. Hence, with the facility’s familiarity with the products and the production date of 2024 matching the introduction date of the two Chevy EV SUVs, it would not be surprising if they were produced at the revamped facility.

GM has not specified if existing ICE vehicle production lines would be halted. Still, with its recent hiring, one would anticipate that it is opening a new production line for strictly EVs.

It is no surprise that the General chose the Ramos Arizpe plant to produce EVs. Mear miles from Monterey, it is within a stone’s throw of the proposed location for the upcoming Tesla plant. And while GM is likely not basing its decision on its competition’s new location, both automakers have probably been lured to the site not only for the aforementioned cheaper labor and quick access to the U.S. market but also for the safety and infrastructure available in the area.

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According to the U.S. State Department travel advisory site, the area of Monterey is safer than other border locations, including Baja California and the State of Tamaulipas. At the same time, the locations chosen by both manufacturers are serviced by one of the largest highways going into the United States, Mexico Route 85/U.S. Interstate 35.

It is a positive sign to see the behemoth of General Motors finally changing course toward electric vehicles. And while its recently announced products have been fantastic to hear about, announcing production changes is more concrete evidence of the change happening behind the scenes. And whatever the company decides to build at its Mexican facility, you can count me as excited to see it come to fruition.

What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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