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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.

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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:

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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 faces Full Self-Driving pushback in EU over ‘speeding’

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Credit: Tesla

A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.

The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.

TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.

Tesla Full Self-Driving gets first-ever European approval

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Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.

Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.

TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of ​vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.

This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.

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This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.

However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.

Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.

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Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’

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Credit: Tesla

Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.

The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.

A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”

Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.

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Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.

This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.

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The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.

Musk teased that a similar feature was “coming” back in February:

Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says

It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.

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Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.

Here’s an example of that from December:

Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.

We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.

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Tesla Cybercab has one important piece that AI4 cars might need for FSD

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Credit: @tpgoebel | X

A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.

This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.

The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.

Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:

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Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.

But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:

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This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.

For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.

Without it, even the most advanced neural nets struggle when their “eyes” are compromised.

What Does This Mean for AI4 Cars?

This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:

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Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys

As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.

As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.

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