News
Tesla Semi tire inflation patent paves way for pickup truck, Model Y & X’s off-road abilities
During Tesla’s third-quarter earnings call, Elon Musk noted that the company continues to make headway on its future vehicles. Musk noted that he had already approved the production of the Model Y prototype, while pointing out that the company is making progress on the next-generation Roadster and the Tesla Semi. Musk reiterated his enthusiasm about the Tesla pickup truck as well, which he admits is a vehicle he is most excited about.
Some of the improvements to the Tesla Semi appear to have been teased in one of the company’s recently-published patent applications. The patent, which was published on October 18, 2018, and titled “Automatic Tire Inflation System with Thru-Hub Air Feed,” outlined a system enabling Tesla’s vehicles to inflate or deflate their tires as necessary. While several vehicles today already have Automatic Tire Inflation Systems, Tesla’s patent application notes that conventional ATIS have much room for improvement.
“These prior solutions had a number of shortcomings. With some prior art techniques, air was fed through hollow drive axles to a fitting located on the end thereof. The fitting was then coupled to the air inlets of the tires. To couple the air into the hollow drive axles, a rotatingly attached fitting coupled air from an air storage to the inside of the hollow axles. This fitting was subject to leakage of contaminants. These contaminants interfered with the operation of the ATIS and eventually caused the ATIS to fail.”
Diagrams of Tesla’s Automatic Tire Inflation System. [Credit: US Patent Office]
Tesla’s ATIS patent involves a system that features valves, a rotary air seal, and bearings, to avoid contamination. With such a system in place, Tesla notes that the wheels of its vehicles would likely last longer, and tires would require even less maintenance.
“In order to overcome the shortcomings described above among other shortcomings, an Automatic Tire Inflation System (ATIS) for use with a vehicle according to a first described embodiment includes a controller, valves controlled by the controller, the valves having an air supply inlet, and a plurality of air outlets. Further, the ATIS includes, for at least one drive axle having inner bearings and outer bearings, a channel formed in a spindle, first hosing coupling a valve of the valves controlled by the controller to the channel formed in the spindle, a channel formed in a hub, a rotary air seal residing between the inner bearings and the outer bearings and coupling the channel formed in the spindle to the channel formed in the hub, and second hosing coupling the channel formed in the hub to at least one wheel.
“Thus, as compared to the prior ATIS systems, the ATIS of the first embodiment, significantly reduces contamination in the ATIS air stream. Reduction in contamination extends the life of the ATIS, extends spindle life, extends hub life, and extends serviced wheel/tire lives and extends maintenance intervals.”
While the diagrams in the patent application suggest that Tesla’s upcoming ATIS would be used for the Semi, the applications for the automatic tire inflation system for the company’s other, upcoming vehicles are notable. Having the capability to automatically inflate tires depending on the terrain, after all, would allow Tesla to start giving its vehicles some form of off-road capability. Under-inflated tires are key to off-road driving, since they are capable of flexing more, allowing vehicles to “crawl” over rocks and other sharp, irregular terrain. Under-inflated tires also have a wider contact path, allowing vehicles to gain more traction in terrain like deep sand or soft snow.
For now, Tesla’s vehicles are optimized for city and interstate driving, and while there are accounts of the Model X being taken off-road (EV YouTuber Bjorn Nyland’s extreme driving test sessions come to mind), the company’s electric cars are yet to have features that are specifically geared towards off-road driving. With an ATIS system, Tesla’s upcoming vehicles such as the Tesla pickup truck, and even the company’s SUVs like the Model Y and a future iteration of the Model X, could have the ability to explore areas beyond paved roads. Such capabilities would likely be invaluable, considering that legendary vehicles like the Ford F-150 and the Chevy Blazer established their legacies by proving themselves capable in areas where neither asphalt nor concrete is present.
Tesla’s full patent for its Automatic Tire Inflation system could be accessed here.
Energy
Tesla VP hints at Solar Roof comeback with Giga New York push
The comments hint at possible renewed life for the Solar Roof program, which has seen years of slow growth since its 2016 unveiling.
Tesla’s long-awaited and way underrated Solar Roof may finally be getting its moment. During the company’s Q3 2025 earnings call, Vice President of Energy Engineering Michael Snyder revealed that production of a new residential solar panel has started at Tesla’s Buffalo, New York facility, with shipments to customers beginning in the first quarter of 2026.
The comments hint at possible renewed life for the Solar Roof program, which has seen years of slow growth since its 2016 unveiling.
Tesla Energy’s strong demand
Responding to an investor question about Tesla’s energy backlog, Snyder said demand for Megapack and Powerwall continues to be “really strong” into next year. He also noted positive customer feedback for the company’s new Megablock product, which is expected to start shipping from Houston in 2026.
“We’re seeing remarkable growth in the demand for AI and data center applications as hyperscalers and utilities have seen the versatility of the Megapack product. It increases reliability and relieves grid constraints,” he said.
Snyder also highlighted a “surge in residential solar demand in the US,” attributing the spike to recent policy changes that incentivize home installations. Tesla expects this trend to continue into 2026, helped by the rollout of a new solar lease product that makes adoption more affordable for homeowners.
Possible Solar Roof revival?
Perhaps the most intriguing part of Snyder’s remarks, however, was Tesla’s move to begin production of its “residential solar panel” in Buffalo, New York. He described the new panels as having “industry-leading aesthetics” and shape performance, language Tesla has used to market its Solar Roof tiles in the past.
“We also began production of our Tesla residential solar panel in our Buffalo factory, and we will be shipping that to customers starting Q1. The panel has industry-leading aesthetics and shape performance and demonstrates our continued commitment to US manufacturing,” Snyder said during the Q3 2025 earnings call.
Snyder did not explicitly name the product, though his reference to aesthetics has fueled speculation that Tesla may finally be preparing a large-scale and serious rollout of its Solar Roof line.
Originally unveiled in 2016, the Solar Roof was intended to transform rooftops into clean energy generators without compromising on design. However, despite early enthusiasm, production and installation volumes have remained limited for years. In 2023, a report from Wood Mackenzie claimed that there were only 3,000 operational Solar Roof installations across the United States at the time, far below forecasts. In response, the official Tesla Energy account on X stated that the report was “incorrect by a large margin.”
News
Tesla VP explains why end-to-end AI is the future of self-driving
Using examples from real-world driving, he said Tesla’s AI can learn subtle value judgments, the VP noted.
Tesla’s VP of AI/Autopilot software, Ashok Elluswamy, has offered a rare inside look at how the company’s AI system learns to drive. After speaking at the International Conference on Computer Vision, Elluswamy shared details of Tesla’s “end-to-end” neural network in a post on social media platform X.
How Tesla’s end-to-end system differs from competitors
As per Elluswamy’s post, most other autonomous driving companies rely on modular, sensor-heavy systems that separate perception, planning, and control. In contrast, Tesla’s approach, the VP stated, links all of these together into one continuously trained neural network. “The gradients flow all the way from controls to sensor inputs, thus optimizing the entire network holistically,” he explained.
He noted that the benefit of this architecture is scalability and alignment with human-like reasoning. Using examples from real-world driving, he said Tesla’s AI can learn subtle value judgments, such as deciding whether to drive around a puddle or briefly enter an empty oncoming lane. “Self-driving cars are constantly subject to mini-trolley problems,” Elluswamy wrote. “By training on human data, the robots learn values that are aligned with what humans value.”
This system, Elluswamy stressed, allows the AI to interpret nuanced intent, such as whether animals on the road intend to cross or stay put. These nuances are quite difficult to code manually.
Tackling scale, interpretability, and simulation
Elluswamy acknowledged that the challenges are immense. Tesla’s AI processes billions of “input tokens” from multiple cameras, navigation maps, and kinematic data. To handle that scale, the company’s global fleet provides what he called a “Niagara Falls of data,” generating the equivalent of 500 years of driving every day. Sophisticated data pipelines then curate the most valuable training samples.
Tesla built tools to make its network interpretable and testable. The company’s Generative Gaussian Splatting method can reconstruct 3D scenes in milliseconds and model dynamic objects without complex setup. Apart from this, Tesla’s neural world simulator allows engineers to safely test new driving models in realistic virtual environments, generating high-resolution, causal responses in real time.
Elluswamy concluded that this same architecture will eventually extend to Optimus, Tesla’s humanoid robot. “The work done here will tremendously benefit all of humanity,” he said, calling Tesla “the best place to work on AI on the planet currently.”
News
Tesla is releasing a modified version of FSD v14 for Hardware 3 owners: here’s when
Tesla is releasing a modified version of the Full Self-Driving (Supervised) version 14 suite for Hardware 3 owners, the company announced during the Q3 Earnings Call earlier this week.
Perhaps one of the most pertinent issues for Tesla owners right now is that those owners who have purchased vehicles before 2024 have been stuck with an older version of the company’s self-driving chip, known as Hardware 3 or AI3.
Owners with Hardware 3 vehicles have been stuck in a strange limbo for some time, wondering whether they should wait for the company’s official plans to upgrade them to the newer AI4 or even the to-be-released AI5 chip, or if they should purchase a new vehicle altogether. The upgrade would give them access to the latest Full Self-Driving suite releases, but it would likely cost a good bit of money.
For a while, these owners have been waiting for Tesla to give some sort of update on its plans, as the company has, in a way, danced around the issue by stating it would “take care” of those owners. The problem is, the definition of “take care” is subjective, and nobody knows if that means an upgrade or a free Tesla t-shirt.
Nevertheless, many owners finally got a tad bit more color earlier this week during the Earnings Call, when company executives finally outlined the beginning of a concrete plan to “take care” of HW3 vehicles.
Chief Financial Officer Vaibhav Taneja gave the first bit of the answer, as it is a personal issue to him. He also said that the vehicle he drives is a HW3 car, so it is impacted by the lack of upgrades.
He said:
“We have not completely given up on HW3. These customers are very important. They are early adopters. We will definitely take care of you guys.”
However, Tesla’s Head of AI, Ashok Elluswamy, gave some additional color, revealing that Tesla plans to launch v14 Lite for HW3 cars, and it will be released in Q2 of next year, tentatively:
“Once the v14 release series is fully done, we are planning on working on a v14 Lite version for hardware three. Probably expected in Q2 next year.”
This is somewhat of an answer, but some owners have already voiced discontent with this solution because HW3 will more than likely not be capable of what will be the “feature complete” version of FSD.
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