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Tesla’s patent for a stealthy, electromagnetic wiper is perfect for the new Roadster
A recently published patent application from Tesla has revealed that the electric car maker is designing a stealthy, unconventional windshield wiper system that seems particularly tailor-fit for the company’s upcoming halo car: the next-generation Roadster. Apart from looking the part of a futuristic wiper assembly for a futuristic vehicle, Tesla’s patent also allows optimizations in range.
As background, Tesla noted that conventional wiper systems usually utilize electric motors that move one or more wiper blades to clean the windshield of a vehicle. The assembly of such systems involves several mechanical components such as gears and bearings, which, in turn, enable the wiper blades to slide across the windshield.
This sliding motion of the mechanical components creates significant friction during operation. This results in the need for additional power to be supplied by a car’s in-vehicle battery, thereby reducing an electric vehicle’s range. Traditional wiper systems are usually prone to rust and wear as well, which could bog down a wiper assembly and make it inefficient in cleaning a windshield. This could be an issue in regions that experience a lot of rain or snow.
With this in mind, Tesla argues that there is a need to design an innovative windshield wiper system that cleans better, and lasts longer. Such a system was outlined in a recently published patent, plainly titled “Electromagnetic Windshield Wiper System.” Tesla’s design for its electromagnetic windshield wiper system involves the use of a “linear actuator that may include a guide rail and an electromagnetic moving block.” The design is modular, enabling easy installation. The wiper arm and blade could be attached to each other as well, forming a “linear mono wiper in an uncluttered design.” Tesla describes how its windshield wiper assembly works as follows.
“The disclosed electromagnetic wiper system may include a linear actuator that may include a guide rail and an electromagnetic moving block. The guide rail may include a plurality of permanent magnet bars that may be disposed horizontally along a curvature of the windshield of the vehicle. The electromagnetic moving block may act as an electromagnetic train, and may include a plurality of perforations and at least an electromagnetic coil that surrounds the plurality of perforations in the electromagnetic moving block.
“The linear motion of the electromagnetic moving block through the plurality of permanent magnet bars may be controlled to steer the wiper arm that may be coupled to the electromagnetic moving block, back and forth across the entire length of the windshield to wipe a defined region, for example, the entire transparent area (i.e., near cent percent area) of the windshield. This may result in minimal friction during the linear motion of the electromagnetic moving block.”
What is pretty interesting about Tesla’s electromagnetic windshield wiper patent is that the entire mono wiper assembly stows away beneath the hood of a vehicle when not in use. This, apart from giving an electric car windshield a clean, uncluttered look, improves a car’s aerodynamic performance during operations. Tesla notes that these optimizations will be particularly significant at high speeds.
Tesla did not state which of its present or upcoming vehicles will be using the electromagnetic windshield wiper system outlined in the recently published patent. That being said, a look at the benefits of Tesla’s design suggests that the innovative wiper system will be a perfect fit for the next-generation Roadster.
The Roadster’s static models sported a conventional wiper system, after all, and they look almost out of place in such a futuristic vehicle. Considering that the new Roadster is Tesla’s halo car, it makes perfect sense for the company to go all out in its optimizations, windshield wipers included. Couple that with the Roadster’s emphasis on aerodynamics and high-speed driving and this patent makes even more sense for the all-electric supercar.
Tesla’s full discussion on its electromagnetic windshield wiper system could be accessed here.
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
