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Tesla Cybertruck’s biggest rival is poised for a delay, and GM’s stance against CA’s standards isn’t helping

(Credit: Tesla)

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The Tesla Cybertruck will meet several competitors when it enters the market. There’s the Rivian R1T pickup truck, a luxury vehicle designed for the outdoors. There’s the Ford F-150 Electric, the EV version of America’s most popular pickup truck. But perhaps the Cybertruck’s biggest rival, both in terms of literal size and specs, is GM’s Hummer EV, a vehicle that represents the antithesis of Tesla’s exoskeleton-clad monster. 

The GMC Hummer EV and the Tesla Cybertruck come from very different backgrounds. The Cybertruck is what happens when Tesla is unrestrained, and it is unashamedly different in its design and features. The Hummer EV, on the other hand, is a redemption of sorts for GM, as the emergence of the massive, gas-guzzling original Hummer marked one of the nails in the coffin of the veteran automaker’s controversial EV1 electric car. 

The Hummer EV has garnered a lot of attention, and it is set for a reveal this May 20. However, the coronavirus pandemic may put a damper on the upcoming vehicle’s official unveiling. With social distancing rules pretty much negating the possibility of a launch event for the truck, sources familiar with the matter have told motoring publication CarBuzz that the Hummer EV’s unveiling will be rescheduled. This is not surprising at all considering the circumstances that have arisen from the pandemic, but it is unfortunate, nonetheless. 

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This potential delay could cost the Hummer EV a lot of momentum. The vehicle is already entering the all-electric pickup market pretty late, with companies like Rivian and Tesla already poised to release their trucks in the next year or so. Furthermore, the Hummer EV is riding a wave of momentum that resulted from GM’s clever teasers in recent months. Any delays in the vehicle’s unveiling might then result in waning interest from the EV community. 

This is bitter pill to swallow for GM, especially since leaked production plans from the automaker have revealed that much of its commitments to electrification are not very serious at all. As indicated by production plans accessed by Reuters, both GM and Ford still intend to adopt a strategy that is heavily skewed towards the internal combustion engine for the next few years. This is despite CEO Mary Barra arguing that GM is dead serious about electrification. 

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But perhaps the biggest blow to the Hummer EV yet is coming from GM’s standing among car buyers. Earlier this year, GM, together with Toyota and Fiat Chrysler, decided to side with US President Donald Trump in his efforts to revoke California’s higher emissions standards. This promptly resulted in losses for GM, with CA banning the use of the company’s vehicles for its fleet. But it doesn’t end there. 

According to the findings of a poll conducted by Matt George Associates for the Union of Concerned Scientists (UCS), GM’s decision to stand against California’s emissions standards has adversely affected its standing among car buyers. Out of the 1,000 owners surveyed, 51% who initially stated that they would “definitely purchase” another GM vehicle in the future decided to change their minds after learning of the company’s anti-emissions standards stance. GM’s favorability among buyers also saw a steep drop from 93% to just 44%. 

These sentiments from the car buying public are the last thing that the Hummer EV needs to be a success. Using the Hummer, a vehicle that is traditionally perceived as the very representation of excess, as an entry into the electric truck market, is a bold move for GM. But successful bold moves usually involve a lot of delicate pieces lining up perfectly enough. Unfortunately for GM, the delays in the Hummer EV’s launch, coupled with negative sentiments against the company, may very well derail the all-electric truck even before its arrival.

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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Elon Musk

Tesla confirms that work on Dojo 3 has officially resumed

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.

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(Credit: Tesla)

Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage. 

Tesla CEO Elon Musk confirmed the update in a recent post on X.

Tesla’s Dojo 3 initiative restarted

In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X. 

Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications. 

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Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.

Tesla’s AI roadmap

Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures. 

He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “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 wrote at the time.

Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected. 

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Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence

The Tesla CEO shared his recent insights in a post on social media platform X.

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Credit: Tesla

Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk. 

The Tesla CEO shared his recent insights in a post on social media platform X.

Musk details AI chip roadmap

In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle. 

He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.

Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.

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AI5 manufacturing takes shape

Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.

Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.

Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.

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