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Tesla audio partner DSP Concepts discusses noise cancellation tech & the future of sound in autonomous cars

Credit: Tesla

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Sound might play a bigger role in the auto industry with the advent of the electric cars and the age of autonomous vehicles dawning. Tesla’s audio partner DSP Concepts (DSPC) knows a lot about sound and how big of a role it plays in everyday life. Teslarati spoke with part of the DSP Concepts team, who revealed the significance of sound in vehicles, especially as the electric car revolution starts to hit its stride. 

“It turns out a car is your most complicated audio product,” said Chin Beckmann, the co-founder and CEO of DSP Concepts. Beckmann described all the ways audio and sound play a part in how people interact with their vehicles, like phone calls, voice commands, or simple in-car communication from driver to passenger and vice versa. 

Engine noise cancellation is a feature that interests traditional cars owners as well. Inversely, for electric car owners, engine noise enhancements or noisemakers have become a sought after feature, particularly in the United States where it is mandatory for EVs. 

(Photo: Andres GE)

Tesla probably contributed to the popularity of noisemakers in vehicles with its recently-released Boombox feature, which allows drivers to play sounds through an external speaker. Funnily enough, EV owners seeking to increase the noise coming out of their vehicles, may also be looking for ways to decrease the sounds coming into their cars. 

“There’s a lot of interest in road noise cancellation from EVs,” said Dr. Paul Beckmann, founder and CTO of DSP Concepts. 

Last month, DSP Concepts announced that Audio Weaver would port Bose’s QuietComfort Road Noise Control (RNC) technology into its platform. The collaboration meant that car companies using the Audio Weaver platform, like Tesla, Porsche, or BMW, could offer Bose’s QuietComfort RNC to their vehicles. 

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(Photo: Andres GE)

Dr. Beckmann clarified, however, that some hardware needs to be integrated into the vehicle for the Bose QuietComfort RNC to work. 

“The way the RNC works is it uses microphones inside the car to listen. It’s kind of like those active noise cancelling headphones. The headphones have microphones close by your ears. So [for] the retrofit, you’d have to put microphones, maybe, by the headrest or somewhere close to your ears,” he shared with Teslarati. 

Dru Wynings, Sr. Director of Marketing at DSP Concepts, added that some sensors would probably be needed in the car’s chassis as well. He also talked about the complexities of bringing Bose’s QuietComfort RNC to vehicles. 

“There’s a huge hardware component to it in terms of how much computation is needed, in terms of what their audio sound system is…all of that could take a toll. So, [automakers are] planning on what could actually fit on this specific chip to run this software,” said Wynings.

DSP Concepts did not reveal any details about Bose RNC coming to Tesla vehicles. There’s really no telling what features Tesla will roll out to its vehicles at the end of the day. 

However, the possibility is very high. It isn’t too far-fetched to think that Tesla might have already equipped its vehicles with the necessary hardware for features like Bose’s QuietComfort RNC, especially considering the upcoming release of the much-anticipated Model S and Model X refresh. The company already did something similar with its in-cabin camera. The hardware for the camera feature was equipped well before it was enabled via an OTA software update.

Road noise cancellation seems like a premium feature that could be available for Tesla’s top-tier vehicles, like the Model S and Model X. Or Tesla may roll out the Bose RNC feature to its entire fleet in a later update. After all, the Model 3 just had a refresh as well. 

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Sound in Autonomous Vehicles

Aside from Tesla, DSP Concepts works with an array of automakers in the industry, both old and new companies. The company’s main goal is to bring audio engineering into the 21st century with the help of Audio Weaver. 

When it comes to the auto industry, DSPC seems very aware of how audio in cars will evolve as autonomy enters the industry. It has become evident that car companies, both legacy and startups, have started producing more tech-savvy vehicles. 

Tesla vehicles might be the most tech-savvy cars on the market. The EV manufacturer’s cars incorporate technology that people might look for in their vehicles now, like Netflix, Spotify, or even Caraoke. Yes, these features might not be necessary, but the same argument could be made for phones, laptops, or other devices. 

(Photo: Andres GE)

People can do much more than call others with their phones now. They can watch their favorite shows, listen to music, search the internet and much, much more.  People seem to want their tech to be well-rounded, so why not their vehicles?

Other car makers seem to be following Tesla’s footsteps. In addition to making more tech-oriented vehicles, more auto companies are also exploring autonomous cars. 

With autonomy in the picture, features like Tesla Theater or Tesla Arcade will be more utilized and with that comes the significance of sound. DSP Concepts understands that people might start looking for better sound quality in their autonomous vehicles as more entertainment options are offered by car companies. 

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The Teslarati team would appreciate hearing from you. If you have any tips, email us at tips@teslarati.com or reach out to me at maria@teslarati.com. 

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Starlink passes 9 million active customers just weeks after hitting 8 million

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

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Credit: Starlink/X

SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark. 

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

9 million customers

In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day. 

“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote. 

That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.

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Starlink’s momentum

Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.

Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future. 

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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

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Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

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The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

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Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

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New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

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