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Tesla Model Y’s front impact structure opens doors to a stellar safety rating
Sandy Munro’s newest video of his Model Y teardown series included a breakdown of the electric crossover’s revised front impact structure. Most notably, Munro’s analysis of the improved impact structure on the Model Y could make Tesla’s reputation for producing some of the safest cars on the market even more solidified, as the thicker and sturdier elements in the all-electric crossover could pave the way for another stellar safety rating.
When Elon Musk unveiled the Model Y in March 2019, he stated that “We expect it will be the safest midsize SUV in the world by far,” he said. The numerous safety improvements that have been recognized by Munro are vital indicators that Musk may be right, and the Model Y could prove itself to be one of, if not the safest car in its class in the market.
As the Model Y’s performance features have already been broken down by many, the safety features are among the more elusive details of the vehicle. Munro notes the Model Y contains several improved features compared to the Model 3, which already holds a five-star safety rating. The first described addition to the Model Y’s safety “system” is the increased thickness of the sheet metal at the front of the rail, as seen in the image below.
This addition will improve the front-end collision system of the vehicle, which was already impressive on the Model 3. However, Tesla is dealing with a more massive vehicle that maintains a different body structure, and beefing up the parts in the front end of the car was one of the ways the company could make the Model Y safer.
Next, Munro points out Tesla’s revisions to the front cradle. The cradle is a subframe structural component that is separate from the larger and “primary” chassis on a vehicle. It is usually used to carry engines, drivetrains, suspension systems, or in the case of the Model Y, its front end impact structure.
The Model Y’s front cradle holds the front impact structure as the two are “tied” together, Munro states. This cradle mounting points to the vehicle’s mainframe extend well into the vehicle’s Small Overlap Rigid Barrier, or SORB zone. The more rigid, dense, sturdy, and durable cradle and front rail increase the safety of the vehicle if it collides with a pole, tree, or another car. These are among some of the most dangerous types of accidents, according to the IIHS.
Tesla also added what Munro refers to as a “tusk” just behind the front quarter panels of the Model Y. The tusk is designed to collapse into the vehicle’s longitudinals. This energy will then be transferred to the now-thicker front end rail in the event of a front side collision, diverting energy from a violent accident away from the passenger cabin. “The tusk will fold in, and it’s going to smash into the longitudinals, and probably other things. That’s going to start to put the energy from the event into the structure here (referring to the front rail), that is uber-strong,” Munro says.
Munro says the structure is entirely different than what Tesla used on the Model 3, citing the new build seems to be exceptionally safe and improved. Interestingly enough, the Model 3 was already recognized as one of the safest vehicles on the road and has received top marks from the Insurance Institute for Highway Safety (IIHS) and Euro NCAP, among others. Despite the impressive and proven safety of the Model 3, it appears that Tesla wanted to do even better. The Model Y is a tangible representation of it.
Watch Sandy Munro breakdown Tesla Model Y’s front end impact system in the video below.
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
