No, Elon Musk did not “launch new attack” on General Motors (GM) or President Biden yesterday, as The Street recently reported. I thought I would clear this up here since it was my own tweet and Elon Musk’s response to my tweet might have somehow gotten misinterpreted.
According to the article, “Tesla’s CEO is resentful and never misses an opportunity to attack Detroit auto giant GM.”
The article also said that Elon Musk doesn’t want to promote the brands of his rivals and that GM is his favorite target. It, in my opinion, painted GM as the victim and Elon Musk as a bully. So I’d like to clear up some things and share what actually happened.
Elon Musk Didn’t “Launch New Attack” On Anyone
Yesterday, I shared a tweet by Sawyer Merrit with my own comment. I tagged both President Biden and Elon Musk. You can see the tweet below. This was and still is my opinion on GM’s decision to invest $1 billion into Mexico for an EV factory instead of investing those funds into American jobs.
Teslas are the most made-in-USA vehicles
— Elon Musk (@elonmusk) July 19, 2022
As you can see for yourself, Elon Musk did not mention GM or President Biden. He mentioned Tesla and his reference was to Tesla being named the most American-made car by Cars.com.
GM’s Commitment To Mexico
I shared my thoughts about GM’s move to invest $1 billion in Mexico for an EV plant in this article. And there’s more. GM shared a statement on its Mexico media site where the company’s President and CEO, Francisco Garza said (translated by Google into English):
“We are very proud to contribute to the materialization of GM’s Vision of Zero Collisions, Zero Emissions, Zero Congestion, contributing to the manufacture of electric vehicles.”
“We trust that the necessary economic conditions will be met so that eventually the Complex can increase the workforce for one more shift in some operations. We are grateful to the Federal Government and the Government of Coahuila for promoting this investment. This is great news to continue celebrating GM’s more than 85 years in Mexico and show our commitment to the country.”
American Jobs Vs Mexican Jobs
It seems that my theory in the tweet that Elon Musk responded to could be correct. I saw this earlier this morning.:
Salaries at the GM plant in Mexico where the Chevy Blazer EV will be made start at just $4,492 a year. $GM pic.twitter.com/G9ZSWy3WGv
— Whole Mars Catalog (@WholeMarsBlog) July 20, 2022
@WholeMarsBlog shared screenshots of the salaries at the GM plant in Mexico where the new Chevy Blazer EV will be made. The starting pay for Operations is MX$91,950 per year which translates to $4,475.78 per year. There are other salaries with similarly low numbers.
In comparison, GlassDoor shows that technician salaries at GM average out at $63,166 annually. So, it seems that GM will be saving some serious money by outsourcing some of these jobs to Mexico.
My 2.5¢
Clearly, GM is trying to save money. And GM CEO, Mary Barra, recently expressed her confidence that GM can beat Tesla. You can draw your own conclusions from these two scenarios.
I do think that using Elon Musk to paint GM as a victim while downplaying its decision to make its Chevy Blazer EV in Mexico instead of the U.S. is really shady. And using my own tweet to do so as well. No, Elon Musk didn’t “launch new attack” on President Biden or GM. No one attacked them.
I just shared my own opinion on the matter and he pointed out which brand was the most American-made car.
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.
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.
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.
Elon Musk
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.
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.
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.
Elon Musk
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.
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.
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.