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Tesla patent reveals Solar module aimed at faster, more attractive installations
Tesla Solar may have taken a step back from the limelight in recent years due to the electric car maker’s efforts to ramp the Model 3 sedan, but recent signs from the company indicate that it is now ready to start aggressively pushing its Energy business. Apart from high-profile projects such as the 50% expansion of the Hornsdale Power Reserve, Tesla also appears to be working on notable improvements to its residential solar system installation processes.
One such improvement was outlined in a recent patent application titled Method and apparatus for mounting photovoltaic modules. The patent describes a novel mounting system for photovoltaic modules that make them easier to install, maintain, and even remove if necessary. Tesla notes that its patent allows solar panel installations to be more aesthetically pleasing than traditional PV setups as well.
In its discussion, Tesla explained that solar panel installations are usually hit by a number of challenges, particularly in terms of alignment, grounding, wiring, rafter connections, and several other factors related to the mounting of the PV system itself. With this in mind, Tesla stated that there is a clear need for a PV module mounting system that is simple, cost-effective, and widely adaptable.
To address these challenges, Tesla has come up with an invention that utilizes an interlocking photovoltaic module mounting system. This design provides a “one piece, integrated photovoltaic module frame portion that is directly mountable to a support structure and interlocks with separate adjoining photovoltaic module frame portions.”
“A preferred embodiment of the invention includes an interlocking mechanism comprising at least one C-shaped channel portion on the outside surface of the PV module frame member with the opening oriented parallel to the plane of the substantially flat top solar cell covering, and which interlocks with an identical adjoining C-shaped channel portion of an adjoining PV module frame member through the use of a separate male coupling member which is inserted into the C-shaped portions of the two adjoining modules. The adjacent C-shaped channel portions do not overlap each other. The male coupling member may also serve as a means for providing electric ground continuity between PV modules,” Tesla wrote.
Such a system would offer a variety of benefits for Tesla and homeowners. Among these benefits include potentially faster installation processes, easier maintenance, and even simpler removal, to name a few. Utilizing the design outlined in Tesla’s patent, the electric car maker further explained that solar installations would look better, since the mounting systems provide no gaps between modules. Such a system will likely not make regular solar panel installations as attractive as, say, a Tesla Solar Roof installation, but it does allow for a very sleek overall look.
“The inventive system thus provides an interlocking, self-grounding, and self-aligning framing structure for each module, which provides three-dimensional adjustability, allows simple connection to the rafters, minimizes penetrations in the roof, allows access to wiring interconnects without removing modules, does not require expensive strut hardware, utilizes a non-overlapping, interlocking mechanism which allows for all PV modules in an array to rest in the same plane instead of having consecutive modules at slightly different angles due to the overlapping nature of an interleaved connection, and which in some embodiments allows removal of single PV modules from the middle of the array.
“The inventive system also provides an attractive appearance by having a low profile, with no gaps between modules, and no visible hold-downs or hardware, plus optional cosmetic flashings for screening visible edges of the array and optional cosmetic caps for covering the small gaps that may occur, or in one embodiment, for bridging between two adjacent PV modules to cover the wiring. Additional benefits are further described herein,” Tesla noted.
Promoting solar installations to homeowners is a key component of Tesla Energy’s business. And to gain an advantage in the residential solar market, Tesla would need to ensure that its PV installations are worthy of its premium brand while being cost-effective overall. Tesla’s electric cars are a cut above the rest of the market and thus, the expectations for its energy business are high. With such ideas as presented in this recently published patent application, it would appear that Tesla is actively exploring ways to improve its residential solar initiatives, even down to their mounting system.
Read the full discussion on Tesla’s innovative PV mounting solution patent 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
