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Tesla, other EVs required to have ‘traditional engine’ sound to meet new EU rule

A Tesla Model X. (Credit: Tesla)

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Electric vehicles such as Teslas are known for being incredibly quiet. Without an internal combustion engine’s controlled explosions under the hood, electric cars are capable of operating in near-total silence. This, according to a new EU rule, will be changed soon. 

A new EU rule coming into force on Monday requires new electric vehicles to be equipped with a pedestrian noisemaker. The new regulations follows concerns that low-emission vehicles such as battery-electric cars are simply too quiet for the road, making them a risk for pedestrians, cyclists, and visually-impaired individuals (among others). According to the new ruling, a car’s Acoustic Vehicle Alert System (AVAS) must be engaged when reversing or traveling below 12 mph (19 km/h).  

In its ruling, the EU noted that vehicles usually back up or travel at low speeds in areas that are near people, such as city streets or crosswalks, though the new regulations does allow drivers to deactivate their vehicles’ pedestrian noisemakers as necessary. By 2021, the EU noted that all electric vehicles — not just new models coming to the market — must be equipped with an AVAS. 

Quite interestingly, the ruling mentioned that the noise-emitting devices would give EVs a sound that is similar to a “traditional engine,” according to a BBC report. This particular detail is notable, since making electric vehicles sound identical to conventional cars will likely result in some levels of noise pollution, something that EVs completely avoid. 

Road noises, after all, are considered the second most harmful environmental stressor in Europe, surpassed only by air pollution. The European Federation for Transport and Environment (also known as Transport and Environment or T&E), for one, notes that vehicle noises are a “major cause, not only of hearing loss, but also of heart disease, learning problems in children and sleep disturbance.”

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On the flip side, pedestrian noisemakers do make it far easier for the visually impaired to detect where vehicles are on the road. This was highlighted by Guide Dogs for the Blind, a charity that has complained about the absence of sounds from low-emission vehicles. Guide Dogs welcomed the new EU ruling, though the group noted that it would be better if EVs are required to produce sounds at all speeds. 

The UK’s Minister of State at the Department for Transport, Michael Ellis, noted in a statement to the publication that the ruling came about as a result of the government wanting the “benefits of green transport to be felt by everyone,” while considering the safety needs of people at the same time. “This new requirement will give pedestrians added confidence when crossing the road,” he said. 

While the consideration for the visually-impaired is quite admirable in the new ruling, it is quite interesting to see the EU regulations require electric vehicles to sound like traditional gas cars. EVs, after all, could have their own unique sound, as could be seen in the Jaguar I-PACE, the Audi e-tron, and even the prototype units of the Porsche Taycan. Even Tesla seems to be working on an AVAS, as hinted at by what appears to be a speaker grille on a Model 3’s underbody. Nevertheless, when Tesla rolls out its vehicles’ pedestrian noisemakers, one could be assured that it would be designed to minimize noise pollution, and it would most likely not simulate the sounds of a “traditional” engine.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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