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Tesla Model 3-based ventilator critiqued by ICU nurse: “Very good job…well done.”
An Anaesthetics and Intensive Care Unit (ICU) nurse recently broke down Tesla’s video of its in-house ventilator system that is made from Model 3 parts.
YouTuber Chris Vanderstock is a nurse by trade and holds over 20 years of experience in a medical setting. His resume includes years of administering patients with real-life medical conditions anesthesia before surgeries and providing them with air via the operation of a manual resuscitator. Vanderstock has plenty of experience with critical care ventilators and how they operate making him a prime candidate to give Tesla’s engineering team relevant feedback toward its newly designed machine.
Vanderstock was initially impressed with Tesla’s utilization of its vehicle parts to create an efficient ventilator. “I reckon a good two-thirds of this ventilator is from existing parts that Tesla already has,” the veteran nurse said. After listing the parts that will be included in the ventilator, like the Model 3’s display, Vanderstock gave his kudos to the Tesla team. Tesla’s goal was to use primarily parts that it knew for reliability purposes, as well as not take away any parts from the medical community who are already struggling with providing hospitals with ventilators, to begin with.
The mixing chamber that is responsible for combining several gases to create breathable air for a patient who is having trouble breathing is a critical part of a ventilator. Along with the mixing chamber, several pressure monitors, along with volume sensors that will provide the patient with the correct levels of oxygen, are included in the Tesla ventilator. Vanderstock noted that this is one of the most crucial parts of a ventilator, as too much air into the lungs can overinflate them, causing more damage than there was initially. Tesla nailed this, according to Vanderstock. “Kudos to these guys.”
Perhaps one of the most exciting portions of the Tesla-made ventilator is the use of two filters, one on the patient end where air is distributed to a patient’s lungs, and one on the machine end, where the virus will be displaced as the patient exhales. This double-filter feature is a notable part of ventilators from Medtronic, a company that Tesla has been in talks with since late March. Vanderstock says the ventilator’s machine-end filter is crucial to keeping healthcare workers safe, as a non-filtered machine end could lead to the virus being spread to those in the room.
The only concern Vanderstock had about the ventilator was how Tesla planned to warm and humidify the oxygen that will go to a patient’s lungs. “When you are thinking about how we breathe, our nose, the turbinates, the structures behind your mouth, going down your trachea into your lungs, are all being warmed…by your blood supply. As air travels down, it gets warmed on the way, and obviously, you’ve got the mucosal layers that’s sending in a bit of moisture as well,” he remarked.
One of Vanderstock’s favorite features is the inclusion of the Model 3 dash screen that will display information like pressure and oxygen concentration to medical professionals. “The innovative infotainment system could potentially help patients. Very good job at Tesla, well done,” he said.
All in all, Vanderstock is exceptionally impressed with Tesla’s ability to create a ventilator that has such an effective manner in a short amount of time. “Nonetheless, great first effort,” he said.
While the machine will still have to pass through Food and Drug Administration (FDA) regulations, he believes this process could be expedited as ventilators are needed on the front lines of hospitals in some of the United States’ most prominent cities.
CEO Elon Musk has stated that ventilators, whether they are purchased or manufactured by Tesla, will be available for free with worldwide shipping as long as the hospital requesting the machines is in immediate need of them. Musk has already made over 1,200 donations to Los Angeles and New York City hospitals as the COVID-19 pandemic is expected to reach its peak this week, according to U.S. Surgeon General Jerome Adams.
Watch Chris Vanderstock’s breakdown of the Tesla Ventilator below.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
