General Motors (GM) has announced plans to cut funding for its driverless robotaxi company Cruise, in a major pivot away from the commercial robotaxi business toward autonomy development in the company’s personal vehicles.
On Tuesday, GM announced plans to cut funding for Cruise and bring its autonomy development program in-house to its own vehicles, as detailed in a press release. In departing from commercial robotaxi development, the company will instead focus on building out Super Cruise, its “hands-off, eyes-on” driver assistance system, which it says is available in over 20 GM vehicles and logs more than 10 million miles per month.
“Consistent with GM’s capital allocation priorities, GM will no longer fund Cruise’s robotaxi development work given the considerable time and resources that would be needed to scale the business, along with an increasingly competitive robotaxi market,” GM writes in the post.
MORE ON CRUISE: GM’s self-driving arm Cruise hit with its latest fine over crash response
Currently, GM has a roughly 90-percent stake in Cruise, and it says it has agreements with other shareholders to bring that up to over 97 percent, before acquiring any remaining shares and restructuring.
“GM is committed to delivering the best driving experiences to our customers in a disciplined and capital efficient manner,” GM CEO Mary Barra said. “Cruise has been an early innovator in autonomy, and the deeper integration of our teams, paired with GM’s strong brands, scale, and manufacturing strength, will help advance our vision for the future of transportation.”
GM plans to work closely with the Cruise leadership team on restructuring and refocusing Cruise’s operations, which it says it expects will decrease spending by over $1 billion per year upon completion. The automaker also says it expects to complete the plan proposal within the first half of 2025, contingent upon the company’s repurchase of shares and Cruise board approval.
“As the largest U.S. automotive manufacturer, we’re fully committed to autonomous driving and excited to bring GM customers its benefits – things like enhanced safety, improved traffic flow, increased accessibility, and reduced driver stress,” says Dave Richardson, SVP of Software and Services Engineering at GM.
The news comes after the company in September said that it was aiming to re-launch paid driverless ride-hailing services with Cruise in the coming months, following an accident involving one of its robotaxis last October that brought with it mass staff shake-ups and legal trouble.
Cruise Founder Kyle Vogt, who resigned from the company after the aforementioned accident last October, responded to the news of GM cutting funding in a post on X:
In case it was unclear before, it is clear now: GM are a bunch of dummies.
It also comes amidst competition from Google-owned Waymo, Amazon’s Zoox, and others in the emerging driverless ride-hailing industry, as well as Tesla, which unveiled the Cybercab robotaxi in October, set to be based on its Full Self-Driving (FSD) software.
Will Tesla license FSD to GM, BMW, and others?
For years now, many in the Tesla community have suggested that the company could someday license its FSD software to other automakers, once it shifts from Supervised to Unsupervised. It’s interesting to see GM pivot toward an autonomy development model that prioritizes data from customer vehicles, especially following Tesla’s long-anticipated launch of its own robotaxi platform, the Cybercab.
Elon Musk has said many times that the company could and would license FSD to other automakers, though no such partnerships have yet been disclosed. Following a recent video posted on X of the latest version of FSD Supervised, v13.2, the official BMW account responded to another user, affirming that the video was “very impressive.”
https://twitter.com/BMW/status/1866548798798844297
The quote elicited a response from Tesla’s main account, and it has reignited discussions around whether the company would license FSD to other companies. Between that and GM ending funding for Cruise and citing “increased competition” as a factor, it’s probably safe to say that Tesla could be inching closer to making FSD licensing deals a reality.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Cruise ordered to pay max penalty for delayed accident report
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.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
