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Tesla Model Y vs Model 3 casting comparison shows that legacy auto’s ‘soil-your-pants’ moment is at hand
Back in April 2018, automotive teardown expert Sandy Munro mentioned that if Tesla had contracted an experienced automaker to produce the early-production Model 3’s body, the electric car maker would have “wiped the floor with everybody.” This is because from the suspension down, the Model 3 was a stellar piece of engineering, despite its body having several issues.
Its electric motors were compact, powerful, and cost effective; its batteries are the best in the industry, and its driving dynamics give the impression that the vehicle was riding on rails. Munro noted that if Tesla had hit a home run with the Model 3’s “dinosaur technologies” like its welds and casts, even veteran auto giants like Toyota would appropriately be “crapping their pants.”
It has been nearly two years since Munro mentioned those words during an appearance at YouTube’s Autoline After Hours. Tesla has changed a lot since then, and the company has even released its latest vehicle, the Model Y crossover. Sharing 75% of the Model 3’s parts, the Model Y is designed as a mass-market electric vehicle, and one that can be even more disruptive as its sedan sibling.
Munro, for his part, has acquired and started a teardown of the all-electric crossover. And based on his findings thus far, it appears that Tesla’s “dinosaur technologies” have improved vastly since the Model 3. This is most evident in the rear casting utilized on the two vehicles.
One look at the Model Y and Model 3’s rear casts shows that the two vehicles are already worlds apart in terms of build quality and design. Munro noted that he did not like the Model 3’s rear casting at all, since it was also over-engineered, with about 100 parts utilized for its rear trunk.
In a way, the Model 3’s rear casting represented the hubris that Elon Musk has admitted to in the past, as it showed Tesla essentially trying to fix something that is not necessarily broken. The result of this was a lot of challenges for Tesla, and a lot of issues with the early-production Model 3’s rear casting.
The Model Y is an entirely different animal. The all-electric crossover features what could only be described as a giant rear casting that is the complete antithesis of the Model 3’s. It has few parts, its welds are consistent, and it features a trunk tub that is similar to those utilized by the world’s best automakers. It’s pretty much what the Model 3 could have been if Tesla was more experienced when they started building the all-electric sedan.
If the Model 3’s rear casting was an exercise in hubris, the Model Y’s rear cast is an exercise in humility. It showed that Tesla is flexible, and that it’s willing to learn, even if it meant abandoning its initial plans and starting from the ground up. Tesla evidently abandoned the early-production Model 3’s rear casting and trunk design. And it’s all the better for it.
A lot of this could be attributed to Elon Musk himself. Munro has noted in the past that he and the Tesla CEO had talked over the phone during his Model 3 teardown, where Musk explained the reasons behind some of the findings about the all-electric sedan. Munro’s firm later sent Tesla a pro bono list of over 200 suggestions that can improve the Model 3’s body.
These suggestions seem to have come to life in the Model Y. Granted, the teardown process for the all-electric crossover has only just begun. Still, several aspects of the vehicle, most notably its rear casting, shows that Tesla did learn from the Model 3, and it has become a much more mature automaker today. Other suggestions from the teardown expert were also applied to the Model Y’s other components, such as its wiring.
It should be noted that Tesla’s fast evolution is partly due to the company’s Silicon Valley startup roots. Startups are notorious for quick, drastic changes in direction, and workers at these companies are required to be tough and flexible. Tesla embodies this, making the company notoriously challenging to work for compared to conventional car companies like GM or Ford.
Yet despite this, Tesla has ranked consistently among the most attractive firms for engineering students. This is because in Tesla, conventional corporate bureaucracy is replaced with an open communication system that allows even interns to share their ideas with company executives. Some of the issues in the Model 3’s early production lines, for example, were addressed by interns, who were later hired full-time by Tesla.
The Model Y is a crossover, which means that it is competing in one of the fastest-growing segments in the auto industry today. With the Model Y, Tesla has the chance to make its biggest mark in the market yet. Fortunately, the electric car maker appears to have done its homework before it released its newest vehicle. One could even argue that Tesla released the Model Y at the perfect time. A mass-market all-electric vehicle that can disrupt the market of crossover SUVs requires a mature company, after all, and Tesla has only started to fit this bill recently.
Just two years ago, Munro mentioned that if the Model 3 had a properly-built body, veteran automakers like Toyota would be “crapping their pants” because of how outclassed they would be. With how the Model Y is turning out, it appears that legacy auto would be wise to keep some extra pairs of pants for the coming years, just in case.
Watch a deep dive into the Tesla Model 3 and Model Y’s rear casts in the video below.
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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
