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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.
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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.
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.
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.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
