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Tesla’s near-obsessive efforts to improve efficiency shown in new ventilated seat patent
It is no secret that Tesla’s electric vehicles are among the most efficient in the auto industry. This is shown in the gap between Tesla and its competitors when it comes to battery tech and just how far the company’s vehicles can last between charges.
The Model X, for example, is Tesla’s largest vehicle available today, yet it is far more efficient than competitors from veteran automakers such as the Audi e-tron and the Jaguar I-PACE, both of which are smaller and newer than the Silicon Valley-based company’s flagship crossover. Part of this is likely due to Tesla’s proprietary battery chemistry, as well as the design and components of its vehicles themselves.
Tesla optimizes its vehicles’ efficiency in several ways, from equipping its cars with software that optimizes the battery pack to using materials that simply consume less power. The less power is consumed by the car’s systems, after all, the more power there is that could be used to turn the wheels of the vehicle.
An example of this is described in a recently-published patent titled “Vehicle Seat with Integrated Temperature-Control System.” Tesla notes in its patent that heated seats could easily be very inefficient, as they require heat to travel through multiple layers of material.
“Attempts to provide air ventilation through the seat foam are typically insufficient to remove excess heat and provide a comfortable environment for the occupant. Further, conventional heating systems are bulky, occupy space in the seat which typically requires the seat to be thicker, and are inefficient in heating the seat as the heat typically must travel through multiple layers and heats regions of the seat that the occupant does not contact. Hence, there is a need for an improved temperature-control system for vehicle seats,” Tesla noted.
The electric car maker describes how its ventilated seat patent works as follows.
“The temperature-control system is associated with at least one of a seating portion and a backrest portion of the seat. The temperature control system includes a base layer. The temperature-control system includes an intermediate layer disposed adjacent to the base layer. The intermediate layer allows fluid to flow through it. The temperature-control system includes a cover layer disposed adjacent to the intermediate layer. The temperature-control system also includes at least one heating element disposed between the intermediate layer and the cover layer. The temperature-control system further includes a fluid pump to provide the flow of fluid through the intermediate layer,” the company wrote.
Tesla explains that the design outlined in its patent provides a low-cost, low-noise, power-efficient, and effective way of cooling or heating a vehicle’s seats. The company also explained that its patent could be incorporated in any seat, regardless of size and shape.
Tesla’s patent for its “Vehicle Seat with Integrated Temperature-Control System” could be accessed in full here.
Being a patent application, it is unknown if Tesla has or will utilize the design it described in the recently published document. Yet, regardless of this, it is difficult to not acknowledge the electric car maker’s constant efforts to improve its vehicles’ efficiency. In a way, the publication of this patent comes at a rather appropriate time for Tesla too, as the company is preparing to unveil its next vehicle, a pickup truck, later this year.
Pickup trucks are by tradition not the most efficient cars on the road, and even the Rivian R1T, a vehicle designed from the ground up to be all-electric, requires a massive 180 kWh battery pack to hit 400 miles of range. That’s a range that the Raven Tesla Model S is already approaching with its 100 kWh battery pack.
At this point in the EV race, it’s evident that the efficiency of Tesla’s electric cars is top-notch, and it will likely take a while before competitors can come close. Rivals will come for the company from several fronts, including veteran automakers and young, upstart manufacturers. But by being a moving target, it will likely be a very challenging task to catch up to Tesla. Very few companies out there could be just as dedicated and near-obsessive with improvement and innovation, after all.
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
