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NYC subway closure canceled, Elon Musk’s Boring Company tapped for ideas to improve other systems

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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.

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.

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.

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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:

 

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla’s northernmost Supercharger in North America opens

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Credit: Tesla

Tesla has opened its northernmost Supercharger in Fairbanks, Alaska, with eight V4 stalls located in one of the most frigid cities in the U.S.

Located just 196 miles from the Arctic Circle, Fairbanks’s average temperature for the week was around -12 degrees Fahrenheit. However, there are plenty of Tesla owners in Alaska who have been waiting for more charging options out in public.

There are only 36 total Supercharger stalls in Alaska, despite being the largest state in the U.S.

Eight Superchargers were added to Fairbanks, which will eventually be a 48-stall station. Tesla announced its activation today:

The base price per kWh is $0.43 at the Fairbanks Supercharger. Thanks to its V4 capabilities, it can charge at speeds up to 325 kW.

Despite being the northernmost Supercharger in North America, it is not even in the Top 5 northernmost Superchargers globally, because Alaska is south of Norway. The northernmost Supercharger is in Honningsvåg, Norway. All of the Top 5 are in the Scandanavian country.

Tesla’s Supercharger expansion in 2025 has been impressive, and although it experienced some early-quarter slowdowns due to V3-to-V4 hardware transitions, it has been the company’s strongest year for deployments.

Through the three quarters of 2025, the company has added 7,753 stations and 73,817 stalls across the world, a 16 percent increase in stations and an 18 percent increase in stalls compared to last year.

Tesla is on track to add over 12,000 stalls for the full year, achieving an average of one new stall every hour, an impressive statistic.

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Recently, the company wrapped up construction at its Supercharger Oasis in Lost Hills, California, a 168-stall Supercharger that Tesla Solar Panels completely power. It is the largest Supercharger in the world.

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Tesla hints toward Premium Robotaxi offering with Model S testing

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

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However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

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At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

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Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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