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Tesla patent addresses panel gaps using clever clamping assembly
The build quality of Tesla’s vehicles would likely see a notable improvement in the near future. As revealed in a recently published patent, the company is working on a new type of clamping assembly that allows some flexibility between panels during manufacturing. With such a system in place, gaps between a vehicle’s panels could be adjusted and aligned during the assembly process.
Tesla’s newly published patent, titled “Clamping Assembly for Securing Together a Pair of Adjacently Located Panels,” describes a simple yet clever way to address misaligned body panels. Tesla notes that conventional clamps, which are usually utilized to attach body panels to a vehicle’s frame, are unable to connect panels and their individual tolerances effectively due to their rigid structure.
“Although (conventional clamps) can be used to secure adjacently located parts to one another, the clamp does not account for parts that have large manufacturing tolerances or parts that must not be fixed in at least one direction (that is there must be play between the parts). Attempting to use a traditional clamp to secure two parts that must have some play between them may introduce unsightly gaps and/or overlaps between the parts, reducing the aesthetic appearance upon assembly.”
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- [Credit: US Patent Office]
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- [Credit: US Patent Office]
Diagrams depicting Tesla’s design for its new clamping assembly. [Credit: US Patent Office]
Tesla’s patent outlines a new type of clamping assembly that is more flexible. Such a system enables Tesla to adjust panels during assembly, allowing the company to address any possible misaligned panels before the vehicle is sent off to delivery. Tesla explains the rationale of its new clamp as follows.
“The present invention was derived in light of the foregoing challenges, and it is an object of the present invention to provide a clamping assembly that provides flexibility in securing parts that are manufactured to larger dimensional tolerances and in which play is necessary between adjacent parts during, or after, assembly. The clamping assembly of the present invention can accommodate misalignment of the part or parts owing to variances in one or both parts during manufacture and/or necessary play between the parts by allowing flexibility in adjusting the positions of the parts relative to one another in one direction while still securing the parts to one another. That is, the clamping assembly secures together a pair of manufactured parts, in which the manufactured parts require play along at least one direction while confining the movement of the parts in a second direction.
“According to certain embodiments of the present invention, the clamping assembly includes a retainer member. The retainer member may have a U-shape groove that allows for the insertion of a tab member and a narrow retaining throat that confines a bulbous portion of the tab member in multiple directions. For example, once inserted into the groove of the retainer member, the tab member with the bulbous portion is confined from moving vertically and horizontally. Once inserted into the groove of the retainer member, movement of the tab member with the bulbous portion is possible by sliding the tab member and the bulbous portion thereof relative to a plane P 2 of the groove, i.e., by sliding the tab member and the bulbous portion into or out of the page. Thus, with use of the clamping assembly disclosed herein, some play or flexibility between two panels is possible, and the panels can be adjusted relative to one another during assembly.”
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- [Credit: US Patent Office]
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- [Credit: US Patent Office]
Diagrams depicting Tesla’s design for its new clamping assembly. [Credit: US Patent Office]
Tesla has been challenged with misaligned panels on its vehicles in the past. When Detroit’s Sandy Munro started his teardown of an early production Model 3, for one, the auto veteran lamented that the vehicle’s panel gaps were so inconsistent, they were reminiscent of a Kia from the 90s. Munro was eventually blown away by the Model 3’s battery, tech, ride quality, and performance, but his criticism of the car’s build quality were notable until he completed his analysis. Tesla later issued a response to Munro’s criticism of the early production Model 3’s build quality, stating that “the standard deviation of all gaps and offsets across the entire car has improved, on average, by nearly 40%, with particular gap improvements visible in the area of the trunk, rear lamps and rear quarter panel.”
A letter to Tesla employees sent last April revealed that Elon Musk is taking the issue of misaligned panels very seriously. In his message, Musk noted that while the build quality of the company’s vehicles continues to improve, Tesla must strive to push harder in ensuring that its electric cars have design tolerances that are a factor of ten better than any other vehicle in the auto industry.
“Most of the design tolerances of the Model 3 are already better than any other car in the world. Soon, they will all be better. This is not enough. We will keep going until the Model 3 build precision is a factor of ten better than any other car in the world. I am not kidding. Our car needs to be designed and built with such accuracy and precision that, if an owner measures dimensions, panel gaps, and flushness, and their measurements don’t match the Model 3 specs, it just means that their measuring tape is wrong,” Musk wrote.
There is no denying that misaligned panels are an issue for Tesla’s electric cars, particularly early production models produced in the past. In a way, such issues are part of Tesla’s growing pains, considering that mastering panel alignment is among the more basic aspects of vehicle manufacturing. That said, Elon Musk’s unrelenting stance on improving build quality, together with clever ways to address and avoid misaligned panels, might soon allow the company to shake off its panel gap issues altogether.
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
