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Tesla Model Y’s quiet cabin is a subtle, critical selling point for all EV buyers

Tesla used Polyurethane, TPO, and lofted Fiberglass to eliminate noise from the Model Y's firewall. (Credit: MunroLive on YouTube)

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When Tesla unveiled the Model 3 in the summer of 2017, the company had released its first affordable vehicle. The Model 3 had numerous selling points, though some first production vehicles were reported to exhibit a lot of road noise inside the cabin, especially at high speeds.

Model 3 owners looked for any number of ways to reduce the noise. These included aftermarket door seals, tire foam insulation, and other modifications. Later builds of the vehicle displayed an improved noise reduction system, as CEO Elon Musk had noted in October 2019 that cabin noise had been “significantly improved in current production” of the Model 3.

In a recent episode of Sandy Munro’s extensive Model Y teardown series, the automotive veteran took a look at the numerous improvements Tesla made to its electric crossover. While the Model Y is not a sedan like the Model 3, the two vehicles are effectively siblings as they share 75% of the same parts.

Tesla adopted several new strategies to keep the Model Y’s cabin quiet. According to Munro, the outer portion of the vehicle’s firewall was covered by a mat made of “lofted fiberglass.” Fiberglass is an excellent insulating material that is used within residential buildings and houses to maintain temperature. However, it is also useful for reducing sound due to its thick and dense nature.

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The inside of the firewall, which faces inward toward the vehicle’s cabin is quite different. Tesla used polyurethane (PUR) and Thermoplastic Polyolefin (TPO). PUR is a material commonly used when soundproofing rooms and is usually shaped like an egg carton to deaden sound waves. TPO is traditionally utilized for roofing and uses a mixture of rubber, talc, glass, carbon fiber, and other materials to insulate heat and sound. It is also used to reduce cabin noise in cars, as its flexible nature allows it to be conformed to the twists and turns of a vehicle’s body.

Additionally, Tesla opted to use a series of pumpable and mastic sound deadener strips throughout the floorboard of the Model Y. These two materials can remove vibrations from the vehicle by stiffening the areas in the Model Y’s frame that are prone to excessive vibration. Both the pumpable and mastic sound deadeners were more frequently placed in the rear portion of the vehicle, where noise and vibrations are especially potent.

Tesla’s installation of these elements provided a much quieter ride for passengers and drivers. Long drives on highways at speeds of 55 MPH or more can prove to be some of the noisiest driving conditions, regardless of whether one is driving an EV or a petrol-powered car. This is due to wind, tire friction with the road, and outdoor weather conditions. These noises are easier to notice in an electric car, since the lack of a working internal combustion engine pretty much amplifies other noises in the cabin.

Tesla seems to have set out to make the Model Y its quietest car yet, and it seems to have succeeded. This is reflected in the feedback of some Model 3 owners, such as YouTube host Brian Jenkins, who recently posted a video documenting his favorite features of the Model Y after 1,200 miles of driving. Jenkins notes the Model Y’s quiet ride is one of his favorite features. He added that he expected more cabin noise, but the Model Y’s cabin remained quiet. Prior to getting a Model Y, Jenkins drove a Model 3 that he fitted with noise reduction seals.

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Interestingly enough, Tesla has released Joe Mode last year, a feature that reduces the audible alerts in the vehicle’s rear to prevent kids from waking up during nighttime trips. Coupled with the Model Y’s already-quiet cabin, features like Joe Mode will be extra effective. It can even be an additional selling point for the vehicle. Every parent out there who has attempted long road trips with kids would attest to the importance of a quiet cabin when the kids are asleep, after all.

Watch Sandy Munro’s breakdown of the Model Y’s cabin noise reduction below.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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