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Science Experts Question Tesla Bioweapons Defense Claims
Some scientists quibble about claims that the Tesla Bioweapons Defense Mode can protect passengers from viruses. But all agree it is an excellent system.
Make no mistake about it, the climate control system for the Model X is superior to anything available from any other manufacturer and will do an excellent job of protecting its occupants from harmful elements in the atmosphere. Tesla describes the system this way, “The biodefense button is designed to allow clean medical-grade air into the cabin and keep contaminated air out. When deployed, it pushes the system into full fresh mode, pulling all HVAC air through the HEPA filter. The fan goes to max speed 11, pulling in enough air to slightly pressurize the cabin, keeping other air from entering Model X.”
But a few people with actual bioweapons experience quibble with the Tesla Bioweapons Defense Mode claims. The issue is not whether the system works, but whether its claims regarding viruses are accurate.
Colonel Randall Larsen, retired from the U.S. Air Force and now the director of the Institute for Homeland Security, tells Gizmodo that he is actually a Tesla fan. “I’m actually building a new house, and I had them put an electrical charger in the garage, just in case I buy a Tesla,” he says. But when told about the Tesla Model X “bioweapon defense mode” he laughed out loud and asked, “So, is Musk actually advertising this?”
To be considered a real HEPA filter, an air filter has to remove 99.97% of 0.3 micrometer particles from the air. That’s fine enough to catch bacteria like anthrax. It will also stop the plague and most other bacteria, as well as most pollen, dust, and fungal spores. “Now, if you’re worried about bacterial agents like anthrax or plague, a good filtering system would probably protect you,” says Larsen.
But viruses are much smaller than bacteria, which means they’re harder to filter out of the air. “Well, 0.3 micrometer won’t hold back viruses. It will hold back most bacteria, but it won’t hold back viruses. So, if you believe that all bio-terrorist agents are bacteria, then you’ll get an increment of protection,” said Michael J. Buchmeier, deputy director of the Pacific Southwest Regional Center for Biodefense and Emerging Diseases at the University of California, Irvine.
The influenza A virus is only 120 nanometers wide, so it can pass through even a 0.2 micrometer HEPA filter without a problem. “It’s a statistical game that we play,” said Buchmeier. “Any filter like that is going to be efficient to a degree but it’s not necessarily 100% efficient.”
Larsen and Buchmeier also point out that, by the time the passengers realize there has been a bioweapons attack, it will probably be too late to take protective action. “The key problem with the bio is knowing when it’s been released,” Buchmeier says. “You know, it’s not like there’s a big bang or something. It’s a pretty extravagant long shot anyway, you know, the idea that you’re going to be forewarned enough to implement this filter in time to prevent any exposure.”
None of which should take away from how good the Model X climate control system is at protecting its passengers. It can filter out allergens like ragweed and cedar pollen, fungal spores like the ones that cause Valley Fever, and irritants like smoke and dust. It could also filter out unpleasant roadside odor. “There are a lot of reasons why you would put a filter like that in, and only one of them is bioterrorism,” says Buchmeier.
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
