News
NYC subway closure canceled, Elon Musk’s Boring Company tapped for ideas to improve other systems
The Governor of New York State, Andrew Cuomo, announced on Thursday evening that the current plan to shut down the 225,000 commuter-strong L-train tunnel in the New York City public transportation system for a 15-month-long repair process will no longer be necessary due to a plan implementing new reconstruction techniques. After consulting with a panel of expert engineers from Columbia and Cornell Universities, a new design was proposed to be used in the tunnel which would streamline the repair process and require closures during nights and weekends with partial train tunnel service still available. When asked in a conference call Friday whether other innovators such as Elon Musk of Tesla and The Boring Company were consulted, the governor said Musk had not advised on this specific issue, but was consulted on improvements to the subway’s signaling system. The Metropolitan Transport Authority (MTA), New York’s transportation network, accepted the Governor’s panel recommendations following the announcement.
The L train tunnel under the East River connecting Brooklyn and Manhattan in New York, known as the Canarsie Tunnel, was damaged during Hurricane Sandy, the Category 3 major hurricane which affected the entire eastern seaboard of the United States in 2012. Its storm surge hit NYC on October 29, flooding huge portions of the island, including 9 of the 14 underwater tunnels in the city’s transport system. Of these, 6 have already been repaired. According to the MTA, the damage to the Canarsie Tunnel is comparable to tunnel damage experienced on 9/11, underlining the extent of the repairs needed and the reason behind the original required shutdown.
- Governor Andrew Cuomo with engineering consultants surveying the Canarsie Tunnel. | Credit: New York State Governor’s Office
- Governor Andrew Cuomo with engineering consultants surveying the Canarsie Tunnel. | Credit: New York State Governor’s Office
- A graphic representation of the duct banks damaged in the Canarsie Tunnel during Hurricane Sandy. | Credit: MTA
Saltwater flooding in from the East River during Sandy significantly damaged the infrastructure of the 7,100-foot-long tunnel, including tracks, signals, switches, cables, and lighting. The flood waters additionally filled protected cable tube pathways called “duct banks” throughout the tunnel, and once dry, the silt hardened to a cement-like consistency inside them, making it impossible to rip out and restore the damaged components. Canarsie Tunnel also opened in 1924, adding age to the brewing number of problems being amplified by the lingering effects of corrosive saltwater remnants from Sandy.
In 2016, residents were informed the tunnel was possibly going to be shut down for 15 months to address the extensive repairs, causing significant commute challenges for the approximately 225,000 riders depending on the service. The date for service closure was scheduled to begin April 27, 2019, but the impending deadline motivated Governor Cuomo to seek out alternative solutions. “I can’t tell you the number of people in Brooklyn who have looked me right in the eye and said, ‘Are you sure that there is nothing else that can be done and there’s no way you can possibly shorten this?’,” Cuomo stated in a recent press conference announcing the new subway repair plan.
- Damage sustained by the Canarsie Tunnel during Hurricane Sandy. | Credit: MTA
- Damage sustained by the Canarsie Tunnel during Hurricane Sandy. | Credit: MTA
- Damage sustained by the Canarsie Tunnel during Hurricane Sandy. | Credit: MTA
The repair announcement was the end result of a review process Governor Cuomo began on December 14, 2018, wherein he and a consulting team walked through the damaged tunnel to assess the repairs needed first hand. While the plan will take longer than the original project’s timeline – 20 months instead of 15 – the ability to remain open during the repairs is a welcome relief for city residents. The technology that will enable the tunnel to remain open includes wire wrapping along with ultrasound and laser measurement (LIDAR) tools to assess and monitor damage. Engineers from Cornell University’s College of Engineering and Columbia University’s Fu Foundation School of Engineering and Applied Science with expertise in the type of construction involved were the primary sources for the solutions chosen.
Similar to the innovations that came from Musk’s Boring Company tunneling project, the governor has hopes that the unique system planned for the Canarsie Tunnel will inspire other similar repair projects. “This could be a national model because it is a totally different way to reconstruct a tunnel,” Governor Cuomo touted at the press conference. Also, according to the governor, the techniques in the new plan have been implemented in projects in Europe before for bridge repair, but not in tunnel reconstruction. He hopes to bring more out-of-the-box innovations to the city’s transportation as well. In reference to Elon Musk’s companies, he said, “I don’t believe a time where they’re talking about flying cars and you can get into a car and drive 100 miles on the LIE and never touch the steering wheel, that there’s not a better technology that can regulate the trains!”
For more about the announcement and repair plan, watch Governor Cuomo’s press conference below:
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.





