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Tesla patent hints at possible Model S, X refresh with new HVAC system
Details coming out of a new international patent application filed by Tesla reveals an infotainment-controlled HVAC system that could be intended for an upcoming Model S and Model X refresh.
A similar HVAC control system has already been rolled out by Tesla in its compact electric sedan, the Model 3. The Model 3 uses two intersecting planes of air for vertical control. Lateral fins hidden within the electric car’s dashboard provide horizontal air control while also providing a clean, minimalistic look. Tesla’s filed patent describes features that are similar to Model 3’s air vent system that’s controlled through its 15″ center touchscreen. Patent US2017 / 058015 titled “Infotainment System with Air-Vent Control,” describes a system to manipulate the airflow inside the vehicle through the vehicle’s media control unit.
The air vent assembly includes a first vent portion placed in front of the driver and a second vent portion that is placed in front of the passenger. These vent portions may be elongated as compared to traditionally known designs of air vent assemblies in that they have longer, more linear vents instead of more circular or boxy vents.
Embodiments of the present disclosure enhance the capabilities of this air vent assembly to provide air flow in a leftward, rightward, onward, and a split configuration using a single rotary actuator. In certain embodiments, the user interface may also allow a user to define the degree to which the vents may cause air to flow in the rightward, leftward, or split direction.
Similar to Model 3’s unique HVAC system, the one described in the patent application also allows passengers to customize the airflow within the vehicle according to passenger preferences.
In certain embodiments, the user customizes the airflow, for example, the specific direction of the airflow. This can allow for a more comfortable experience for the occupants of a vehicle. For example, certain occupants may desire for air to be directed towards themselves while other occupants may desire the temperature of the vehicle cabin to be set to a certain value without having air directly impinging on themselves.
An illustration of Tesla’s recent patent on an infotainment-controlled HVAC system. [Credit: World Intellectual Property Organization]
With anticipation running high that Model S and Model X is due for a refresh, an update to its HVAC system would not only unify the dashboard design across its fleet of vehicles but could also simplify production. For one, Tesla’s unique air vent system requires less hardware and thus minimizes the need for multiple suppliers. Using a simpler design, Tesla’s thinner HVAC system can efficiently utilize space in the dashboard, and provide a much more expansive interior feel. Such a system, as proven by the Model 3, would also give drivers better road visibility.
While Tesla’s international patent application did not specifically mention a vehicle model, illustrations included in the document resembles the design of the Model S and Model X’s dashboard. Figure 1, for example, features a dashboard that is similar to the all-electric luxury sedan and SUV. Apart from a similar-looking instrument cluster and infotainment system, the illustration also features a dashboard curvature that’s aligned with that of Model S and Model X’s current design. Armrest cupholders located between the front seats at the bottom of Fig. 1 also draws resemblance to ones found in the Model S and Model X.
Adopting an HVAC system that’s akin to the Model 3 for the Model S and Model X would likely be a welcomed change for Tesla enthusiasts. During his testing and teardown of the vehicle earlier this year alone, Detroit veteran Sandy Munro, who issued a harsh critique of the electric car’s build quality, admitted in a later comment that the Model 3’s HVAC system was “brilliant,” citing its simple yet ingenious design.
Aside from major refreshes, Tesla continues to improve the components of its vehicles over time. As revealed by Elon Musk in a recent conversation with Consumer Reports’ Jake Fisher, the Tesla CEO noted that improvements have been rolled out to the Model 3 since its production began, from better interior materials that reduce road noise to a software update that improves the vehicles’ controls. Tesla’s flagship Model S and Model X are no strangers to this, and a revamped HVAC system can only improve the experience for its driver and passengers.
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
