News
Tesla confessions: The Model Y is looking better and better the closer it is to production
Note: I don’t usually do personal op-eds, but I’m making an exception this time around. This story may be well worth the read, at least for those who have had the same experience.
I was at Porsche’s 2019 Annual Press Conference in Stuttgart when Tesla unveiled the Model Y. I was dead tired from the day’s activities, but considering that the all-important Model Y was being unveiled that day, I opted to just chuck an extra cup of coffee and pull an all-nighter instead. After all, the Model Y is arguably the EV that can very well make Tesla into a household name. It’s got the price, it’s competing in the crossover segment, and it’s coming at a time when Tesla wasn’t hanging by a thread anymore. And so, I waited, overdosed with caffeine, for the vehicle’s unveiling.
The event started off normal enough. I fired up my word processor and prepared to write. Elon Musk provided a compelling narrative about Tesla’s journey from the Roadster to the present, even bringing out the Model S, Model X, and Model 3 onstage. Then, at the end of the unveiling event, almost seemingly as an afterthought, Musk brought out the Model Y. Out then comes a vehicle that looks nearly identical to a Model 3. In the darkened stage the two were almost indistinguishable from each other. It’s slightly taller, and it was chrome deleted, but that’s about it. Then, following a very brief discussion of its specs and its estimated release date, the Model Y’s unveiling event was done.
Needless to say, I was a bit underwhelmed. I’ve been following the Model Y story for years, and amidst all this excitement for the vehicle, it turned out to be this chunkier Model 3. Other journalists on my bus who also attended the Porsche press conference the following morning felt the same. Jokes were thrown around. “It’s a fat Model 3.” “Why, Model Y?” Even I, the conference’s token reporter from the “obviously pro-Tesla website,” couldn’t really “defend” the Y’s design that much. It’s not like I could say a much. It’s really just a bigger Model 3.
That was months ago. Since then, there have been an increasing number of Model Y sightings across the United States. Bob Lutz has called the Y a “terminally ugly” vehicle, even adding that he doesn’t really know how anyone can buy the Model Y. Yet, amidst all these sightings, and as reports from Tesla indicated that the Model Y might be starting production earlier than expected, something happened. Little by little, the Model Y started to look good — really good. And it doesn’t seem to be just me either. Comments on YouTube videos, Twitter posts, and Reddit threads showed that the Tesla community was warming up to the Y’s very Model 3-esque design.
This became even more evident when the size of the Y became evident. As it turns out, the Model Y seems to be a good deal larger than the Model 3, with some Tesla community members who have personally seen the vehicle stating that the crossover is actually pretty close in size to the Model X, Tesla’s largest vehicle before the massive Cybertruck. The Model Y also looked very attractive with its Gemini Wheels, which appear to be installed in release candidates of its Performance variant. A recent sighting of a white Performance Model Y from StevenMConroy depicts this very well.
Elon Musk has stated that the Model Y has the potential to outsell the Model S, Model X, and Model 3 combined. That’s a statement that sounds hyper-ambitious in a classic Elon Musk kind of way, but it’s feasible. The crossover market is vast, and it’s growing by the year. Combined with its trademark Tesla performance and its reasonable price, the Model Y has a ton of potential. It may have been an acquired taste for the Tesla community or people like me, but for the everyday car buyer, the Model Y may simply be this futuristic crossover that’s cheap to run, blazingly quick, spacious, and surprisingly reasonable in price. That’s a pretty difficult combination to beat.
There were a lot of criticisms that were thrown at the Model Y when it was unveiled, and a lot of it was due to its design. The TSLAQ group on Twitter actually insisted that there was no Model Y at all, and that the vehicle that Tesla unveiled was just a raised Model 3. But then, as the Model Y closes in on its first production, and as more and more release candidates start getting spotted on the road, it is starting to appear that perhaps, just perhaps, Tesla knew what it was doing when it decided on the crossover’s design. The Model Y may not incite the same excitement as the next-gen Roadster or have the same shock value as the Cybertruck, but perhaps, it doesn’t really need to.
It just needs to be. And for all-electric crossovers that are designed to be disruptive, that’s potentially enough. It certainly is for me.
News
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
