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Tesla Model Y’s quiet cabin is a subtle, critical selling point for all EV buyers
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.
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.
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- Tesla Model Y Mastic Strip (Credit: MunroLive on YouTube)
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- Tesla Model Y Pumpable Sound Deadener (Credit: MunroLive on YouTube)
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.
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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
