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Tesla points to better range and efficiency with compact power steering patent
Tesla’s electric cars are already among the most efficient vehicles on the market, and this is shown by the immense gap between the range and efficiency of the company’s vehicles compared to their competitors from veteran automakers. Part of the reason behind this is Tesla’s continued improvements in its vehicles, which are rolled out and adopted as soon as they are refined and ready.
One of these improvements appears to have been teased in a recently-published patent application. Simply titled “Steering System for a Vehicle,” the document describes a smart, novel way of designing a power steering system that is more compact and less power-hungry. In the patent’s background, Tesla remarked that conventional power steering systems, which are usually hydraulically operated, are mostly bulky and space-consuming.
This is due to power steering systems utilizing a number of components that include cylinders, pumps, hoses, and control valves, to name a few. Hydraulic power steering systems also have complex designs, which add cost to a vehicle. Lastly, conventional power steering systems generally require a large amount of power to function. With this in mind, Tesla argues that there is a need for a new power steering system that is simpler, smaller, and more power-efficient.
Tesla’s novel power steering design involves fewer parts than the conventional system used in most vehicles. The electric car maker describes the design in its patent in the description below.
“The steering system includes a drive motor having a motor shaft. The steering system also includes a first gear reduction stage for receiving a first rotational input from the motor shaft and providing a first rotational output. A first gear meshes with a second gear of the first gear reduction stage via a helical gear mesh. The steering system further includes a second gear reduction stage for receiving the first rotational output from the first gear reduction stage and providing a second rotational output.
“The second gear reduction stage may include at least one of a strain wave gearing, a worm drive, and a planetary gearing. In case the second reduction stage is a strain wave gearing, the second gear reduction stage includes an ovular coupler, a flexible coupling, an outer spline, and a plurality of bearing members disposed between the ovular coupler and the flexible coupling. The steering system includes an output shaft for receiving the second rotational output from the second gear reduction stage.”
Tesla notes that its smaller, power-saving steering system, apart from being more power-efficient and compact, also includes several failsafes, which could, in turn, increase a vehicle’s safety. The company’s patent mentions “sacrificial or failsafe components,” which are designed to safeguard a vehicle’s sensitive components during the event of a breakdown. Such a design will likely contribute to Tesla’s electric cars and their already-stellar safety ratings.
“In some embodiments, steering system 102 has been shown to provide a 10% improvement over a hydrolytic steering system. Additionally, steering system 102 is a compact unit that consumes lesser space as compared to other steering systems that are commercially available in markets. Further, steering system 102 does not require large amount of additional power for operation. FIG. 6 illustrates a failure mode of steering system 102 in which one or more bearing members 244 of steering system 102 fail. Bearing members 244 of steering system 102 are designed to withstand high loads so that they do not fail during normal vehicle operation. However, bearing members 244 may be designed to withstand only a predetermined threshold of load. As a result, bearing members 244 fail when they are loaded beyond the predetermined threshold.
“For example, a bearing member 258 may eventually fail along a shear plane 260 when loaded beyond the predetermined threshold. Alternatively, bearing members 244 may undergo a bending failure, or any other type of failure. In such a situation, one bearing member 244 is a sacrificial or failsafe components, thereby safeguarding other components of vehicle, for example, drive motor 204 or an engine, against breakdown or seizing. More particularly, the one bearing members 244 fails, ovular coupler 238 locks and rotates with flexible coupling 240. Thus, steering system 102 can still be operated to allow vehicle to be driven for a certain distance and parked at an appropriate location. Bearing member 244 fails according to a sheer mechanism or another failure mechanism. Further, failed bearing member 258 can be replaced and vehicle can be reinstated without incurring any additional losses.”
It remains to be seen if Tesla’s compact power steering system will be adopted for the company’s upcoming vehicles. That being said, such a system is a perfect match for EVs such as the Tesla Semi, the Tesla Pickup Truck, and the Model S and X Plaid Powertrain variants. These are all large vehicles, and their success in the market will likely be determined in no small part by their range and efficiency. In this light, every single innovation that could optimize these vehicles’ efficiency will most definitely be appreciated. After all, the less power is consumed by subsystems such as a vehicle’s power steering unit, the more power there is to turn an electric car’s wheels.
The full text of Tesla’s compact, efficient power steering 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
