News
The Tesla Cybertruck’s looks are not as big of a deal as critics think
Just recently, Elon Musk acknowledged on Twitter that the Tesla Cybertruck might be a flop simply because it is so unlike anything else on the market. This has resulted in numerous Tesla skeptics predicting that the all-electric pickup truck’s design is so out there that the vehicle would be the company’s first true failure. Such sentiments, however, may be overblown, as the Cybertruck’s looks may not be as big of a deal as critics think.
Numbers Don’t Lie, and Specs Matter
The Cybertruck is a pickup truck, even if it does not look like a traditional truck. This means that it is designed to be capable enough to handle tasks that are typically expected of pickups. This is the reason why the Cybertruck has a large 6.5-foot bed, 100 cubic feet of exterior lockable storage, up to 3,500 lbs of payload capacity, and a towing capacity of up to 14,000 pounds. These matter, especially among buyers who actually use their pickup trucks for work.
These specs are pretty hard to beat. Even the Ford F-150 Lightning, which seems to be on track to become one of the most popular all-electric pickup trucks in the market, does not match up to the Cybertruck’s specs. Even if rumors are true and the Ford F-150 Lightning really has a range above 400 miles per charge, the Cybertruck’s tri-motor variant is listed with a range of over 500 miles. Tesla has so far not disappointed when it comes to its vehicles’ EPA-rated miles.
A Reliable, Rapid Charging Network Matters
During Car and Driver‘s recent “EV 1000” test, it was revealed that the US’ best electric vehicle rapid charging infrastructure is still the Tesla Supercharger Network. There are other networks that provide rapid charging services, but few if any could match the Supercharger Network’s ease of use, reliability, and sheer size. This matters a lot for all-electric pickup trucks, many of which would likely not achieve their rated range due to the cargo they carry or the items they tow anyway.
What is rarely mentioned is that Teslas are not only compatible with the Supercharger Network. Teslas can also charge at EVgo and Electrify America stations, to name a few. This means that the Cybertruck could charge at the same rapid charging stations as rivals like the F-150 Lightning on top of the Supercharger Network. This is a notable advantage, and one that would likely be appreciated by those who drive the all-electric truck.
Looks May Not Matter As Much
One has to get this point out of the way. Trucks are tough vehicles that are widely expected to handle the worst that the elements can offer. The Cybertruck could definitely be described as ugly, but it’s just like other pickups in the market in the way that it’s not necessarily competing with exotic supercars in the looks department. Elon Musk may have a point when he noted that pickups have generally looked the same over the decades, and it might be time for something new.
The Cybertruck is designed to weather the worst that the elements can offer, and with its thick stainless steel exoskeleton and tank-like appearance, it definitely ticks off the boxes in the toughness department. With this in mind, reasons like “but it looks so weird” and “I’m not comfortable with its looks” almost sound pretty lame. Even businesses that operate fleets of pickup trucks would probably prefer a vehicle that’s superior in specs and price, after all, even if its looks leave some to be desired.
Besides, different does not necessarily mean that something will be a flop. Just look at the Nissan Juke. No one can deny that it looks extremely weird, but it has sold over 1 million units in the first decade of its production. Why was this so? Because it’s a dang fun car and it’s quirky, and it does crossover things in a very good crossover way. It’s fairly reliable, sturdy, and cheap to maintain. Other drivers on the road would be hard-pressed to ignore it too, for better or for worse.
An iPhone Lesson
A pretty popular anecdote in the mobile phone industry involves the first-generation iPhone and how it was received by critics. Back then, the term “smartphone” generally referred to a fairly large handheld device with a full physical keyboard and some email capabilities. Then came a block of glass with an onscreen keyboard that offers no tactile feedback when typing. This attracted its own fair share of skeptics, many of whom felt like the device was just too strange to be a serious threat to the mobile phone giants at the time, such as Nokia and Blackberry.
Just check out this section from a 2007 review from TechCrunch, which was skeptical of the iPhone’s keyboard. “That virtual keyboard will be about as useful for tapping out emails and text messages as a rotary phone. Don’t be surprised if a sizable contingent of iPhone buyers express some remorse at ditching their BlackBerry when they spend an extra hour each day pumping out emails on the road,” the publication wrote.
So can the Cybertruck be a flop? It may, though unofficial trackers estimate that over 1 million reservations for the vehicle have been filed to date. But even if the vehicle does turn off many buyers such as die-hard truck guys who swear by their F-150s’ looks, the fact remains that the Cybertruck does not need the support of avid truck aficionados to be successful. It just has to show the world that it is a viable product with superior specs and durability at a reasonable price point. If it accomplishes this, then the Cybertruck would likely be fine.
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
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
