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Tesla Model 3 protects owner from unsafe air even without Bioweapon Defense Mode
Amidst the ongoing threat of the California wildfires, a Tesla Model 3 owner has posted a brief demonstration of the electric sedan’s capability to maintain the air quality inside its cabin, despite the vehicle not being equipped with the Model S and X’s hospital-grade HEPA filter or a dedicated “Bioweapon Defense Mode.”
Elon Musk took to Twitter last week to offer the Model S and Model X as vehicles that can be used to transport people away from the ongoing CA wildfires. The Model S and X are capable of scrubbing the air inside the car, thanks to their large HEPA filters that are fitted with separate acid and alkaline gas neutralization layers. Later social media updates and anecdotes from Model S and X owners driving through the CA area indicate that Bioweapon Defense Mode helped maintain the air quality inside their vehicles.
In a follow-up tweet, Elon Musk noted that the Model 3’s air filtration system is not on the same “hospital-grade” level as that of the Model S and X, since the smaller vehicle does not have enough space to accommodate the HEPA filtration system in Tesla’s two flagship vehicles. This could be seen in the parts catalog for the vehicles, where the Model X HEPA filter was listed as “FILTER, HEPA, MDL X,” while the Model 3’s system was simply listed as “HVAC, CABIN FILTER, M3.”
If a recent video from a Model 3 owner is any indication, though, the electric sedan, even without a hospital-grade HEPA filter or Bioweapon Defense Mode, is still capable of keeping the air inside its cabin clean. The Tesla owner opted to conduct the Model 3’s air filter test in the San Jose area, which has been affected by the smoke from the Camp Fire (Paradise, CA). Prior to the test, the Model 3 owner recorded a PM2.5 level of up to 135 μg/m3 with the vehicle’s windows down.
Upon closing the windows, the Model 3 owner activated the “recycle air” feature and set the fan speed to 5. Within two minutes, the air inside the electric sedan’s cabin improved to less than 50 μg/m3. Keeping the same settings, the air quality inside the vehicle continued to get better, hitting 5 μg/m3 within nine minutes. For a vehicle with a filter that Elon Musk simply described as “good,” the results of the Model 3 owner’s test were quite impressive on their own right.
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- Air quality readings inside a Tesla Model 3 with “recycle air” on and fan speed set to 5. [Credit: sensohax/YouTube]
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- Air quality readings inside a Tesla Model 3 with the windows down. [Credit: sensohax/YouTube]
A comparison of air quality readings inside the Model 3’s cabin. [Credit: sensohax/YouTube]
It should be noted, though, that when the “recycle air” setting was disabled, the air quality inside the cabin dropped. Within five minutes, the air inside the Model 3 was back to the 75 μg/m3 level. These results are in line with Tesla’s announcement through its official Twitter account last week, when the company advised Model 3 owners to “set manual recirculating air and turn up the blower speed” to get the best air quality inside the electric sedan.
Overall, the findings of the Model 3 owner’s test are to be expected, considering Tesla’s intense focus on vehicle and passenger safety. The Model 3, after all, is among the safest vehicles on the road today, thanks to its all-electric design and its standard safety features like forward collision warning systems, dynamic brake support, crash imminent braking, and lane departure warning features. The Model 3’s suite of cameras and sensors, as well as capabilities like Autopilot, make the electric sedan even safer.
Just last month, the National Highway Traffic Safety Administration awarded the Model 3 a flawless 5-Star Safety Rating, just like the Model S and X. Based on the NHTSA’s crash test data, Tesla has noted that the Model 3 now holds the distinction of being the vehicle with the lowest probability of injury among all cars that the agency has tested to date. The Model S and Model X immediately follow the Model 3, standing at second and third place.
Watch the Tesla Model 3 protect its occupants from unsafe air in the video 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
