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The Model Y is an understated Trojan Horse for Tesla’s manufacturing ambitions
The launch of the Tesla Model Y is, in several ways, an understated and undramatic event. There were no surprise vehicles at the end of the crossover’s presentation, nor were there any announcements about the number of pre-orders the electric car maker received for the seven-seater. Tesla has been pretty quiet about the Model Y since, too, as updates on the crossover have mostly come through insider reports and patent applications from the company.
It is through these patent applications that one could see the potential of the Model Y to revolutionize Tesla’s overall manufacturing operations. A look at two patents that are tailor-fit for the Model Y, for example, suggests that Tesla will be adopting a far more innovative production process for the vehicle compared to its past electric cars, including the mass-market Model 3 sedan, a vehicle that is essentially carrying Tesla into its current transition into a mainstream car manufacturer. With this in mind, the Model Y could even be described as a Trojan Horse of sorts, carrying the electric car maker’s innovations (mostly) under the radar.
One of these innovations is a rigid wiring system that will allow Tesla to drastically reduce the wiring of the Model Y compared to its older stablemates. Using the company’s design outlined in its patent, Tesla is expected to use only around 100 meters of wiring for the Model Y, far less than the 1.5 km of cabling used in the Model 3. Such a design also aids the company’s automation initiatives, as the rigid wiring harness will be easier to install by the company’s robots.
Another, even more notable innovation lies in a patent for a “Multi-Directional Unibody Casting Machine for a Vehicle Frame and Associated Methods” that seems to have been teased by company executives in the past. Elon Musk has mentioned that the company’s new casting machine will have the capability to cast pretty much the entire body of a vehicle in one piece, essentially eliminating the need for numerous welds across the body. “When we get the big casting machine, it’ll go from 70 parts to 1 with a significant reduction in capital expenditure on all the robots to put those parts together,” Musk said.
These new innovations outlined in Tesla’s patent applications hint at the Model Y being the company’s first vehicle to adopt such designs in its wiring and casting. This is great news for the company’s upcoming vehicles like the Tesla Pickup Truck, the Semi, and the next-generation Roadster, all of which will likely benefit from these optimizations. More importantly, this is also great news for the Model 3.
Tesla’s struggles with the Model 3 ramp in the United States have been well-documented, as the company had to abandon a widely-automated approach to producing the vehicle to one that was more balanced between humans and machines. With the Model Y, Tesla could essentially start anew and experiment with more ambitious and manufacturing models once more. Fortunately for the Model 3, the vehicle shares about 75% of its parts with the Model Y, which means that production improvements that work for the crossover would likely be applicable for the midsize sedan as well.
The Tesla Model Y’s manufacturing revolution might begin sooner than expected, especially with the start of production at the company’s Gigafactory 3 site in Shanghai. Gigafactory 3 is designed to produce affordable versions of the Model 3 and Model Y for the Chinese market, suggesting that the facility will be optimized for speed and volume. It would then be interesting to see how Tesla produces the Model 3 (and later, the Model Y) on the site, as it could provide a glimpse at how much the company has improved based on lessons learned from the electric sedan’s ramp in the United States.
H/T Long Term Tips.
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
