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Tesla gets nod from Rivian CEO for combating ‘untruths’ about electric vehicles
The long, arduous road that Tesla traveled over the past years was recently acknowledged by RJ Scaringe, the 35-year-old CEO of electric vehicle maker Rivian. During a fireside chat at the Automotive News World Congress, Scaringe noted that his 10-year-old company aims to do to pickup trucks and off-road-capable SUVs what Tesla did to the performance and premium automotive segments. That is, he wants Rivian to disprove any untruths that are currently prevalent in the truck and SUV industry.
“I think any great brand … to build a brand that customers are going to be excited about and that customers are going to want to be part of, it has to fundamentally reset expectations. It has to disprove untruths. Tesla took the untruth that electric cars were boring and slow — that they were glorified golf carts — and they disproved that. They showed people that an electric car can be exciting and fun. What we need to disprove is that an electric vehicle can’t get dirty, and that an electric vehicle can’t be rugged, and an electric vehicle can’t go off-road and take your family places, and that an off-road vehicle can’t be good on-road,” he said.
Rivian’s first two vehicles, the R1T pickup truck and the R1S SUV, seem perfectly capable of playing the part. Rivian impressed the EV community and the auto industry when it emerged after 10 years of operating on stealth mode. Both vehicles are well-rounded and refined, created through years of work by a team that included alumni from McLaren (yes, that McLaren). Both have four electric motors that provide immense power and torque, both offer range of over 400 miles per charge, and both are built with intelligent driver-assist features that can transition into full self-driving in the future. During the R1T’s unveiling last November at the historic Griffith Observatory in Los Angeles, Rivian’s intentions of tapping into the premium EV market were evident.
During his recent fireside chat, Scaringe mentioned that the market Rivian is going for are people who own adventure vehicles and luxury vehicles. In a later statement, Scaringe expressed a point related by Elon Musk during the days of the original Roadster, when he noted that the small, two-door high-performance sports car should perform on the same level as the best fossil fuel-powered cars around. For Scaringe, this same point stands true for the R1T and the R1S.
“We want to get the guy who already has a Range Rover sitting next to a Tesla [in the garage], or the [Jeep] Wrangler sitting next to the [BMW] i3, and grab them with something that was just completely different than what they thought was possible. It will be the best-driving truck or SUV in the world. It must be, because if it’s not, why would somebody pick us over a Ford or over a BMW?” he said.
For now, though, Scaringe noted that Rivian is determined to learn from the experiences of companies like Tesla, while integrating concepts from established automakers such as GM and Toyota. With the successful unveiling of its first vehicles, after all, Rivian is about to tackle one of the hardest parts of being an automaker — actually building cars.
“We do recognize the complexity of assembling and putting vehicles together, of managing a very complex supply chain and logistics network, and we’re very [cognizant] of the nuts and bolts, and of the need to follow a proper process to ensure that, when we launch the vehicle, it can be launched with as few problems, errors, and challenges as possible,” Scaringe said.
When Elon Musk wrote his Master Plan Part Deux, he openly admitted that it is very difficult to become successful in the United States’ auto market. Considering the number of automakers that have gone under, Musk lightly noted that starting a car company is downright idiotic, and starting an electric car company is “idiocy squared.” As foolhardy as the venture might have been, though, Tesla has thrived, driven by an ever-increasing demand for its premium electric cars and energy storage products. The Model 3, the company’s most affordable vehicle to date, has been making a dent in the US’ auto market, becoming the overall best-selling luxury car in the country last year.
It has not been easy for the Silicon Valley-bred carmaker. The Model 3 ramp, for one, is described by Elon Musk as one of the most difficult periods of his career. Musk bet Tesla’s future in the electric sedan, and it took longer than expected to reach the company’s self-imposed production targets. Nevertheless, since hitting its goal of producing 5,000 Model 3 per week at the end of Q2 2018, Tesla has steadily improved its footing with the electric car’s production. In Q3 2018, Tesla even posted a profit. The fourth quarter of 2018 might be just as successful.
If Rivian’s strategy so far is any indication, though, the company stands a good chance of avoiding some of the challenges faced by Tesla during the ramps of the original Roadster, the Model S, X, and 3. Rivian, for one, has already secured a facility in Normal, Ill. The company is also working closely on the development of its vehicles’ battery packs. Apart from this, Rivian is also consulting the veterans of the auto industry. In his recent appearance at Autoline After Hours, for one, auto teardown specialist Sandy Munro, who conducted a thorough analysis of the Tesla Model 3, mentioned that Rivian is one of his firm’s clients.
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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
