News
How Tesla’s Elon Musk dunks on the competition just as their momentum builds
It’s an emotion-filled, intense game. When you’re down the court. In the zone. Elon Musk goes up for the slam and WHAM!
Just when you least expected it.
Oh, that’s gotta hurt.
The script plays out time and time again. Tesla and SpaceX CEO Musk bursts into action. Like a runaway freight train. But with intent. Strategy. Musk charges in with a timely announcement to derail the momentum of his competition, just as they’re about to gain traction. Cheers for the competition become silence.
We were reminded of Musk’s mastery of the game this past week when a timely leaked email would inform the world that Tesla was preparing for volume production of its highly-anticipated Semi truck. Shares of Tesla shot up past $1,000 to raise the bar on its all-time high, while any trace of attention on a competing rival – Nikola – would be lost.
Electric-hydrogen commercial truck maker Nikola had just come off of a momentous week after going public in its Initial Public Offering.
While Musk’s announcement was surely a positive one for Tesla, there may have been some intent behind it. Just as Nikola’s stock began to climb, Musk derailed their momentum by announcing Tesla’s plan to prioritize the Semi truck production. It’s a classic page out of Musk’s successful playbook to leverage a competitor’s momentum, as media centers the conversation around a particular industry, before ripping the ball away from the competition and go in for the slam dunk. It has happened throughout his storied career. And it will continue to do so.
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Porsche Taycan. We drove it. We appreciated it and we were on the bandwagon that the Porsche Taycan and its “repeatable performance” was destined for the famed Nürburgring. It was one of the first stories I covered as a writer for Teslarati and I can remember it pretty vividly. The Taycan hit the Green Hell in Germany in August and reportedly set a track record for a four-door production vehicle. However, that story wouldn’t last long.
Not more than a couple of weeks later, on September 5, Musk announced the Model S would be arriving at the Nürburgring to test its performance at the notoriously difficult racetrack. But it surely didn’t stop there. Musk then stated that Tesla had been developing an entirely new version of the Model S behind the scenes and that the wide-body design was a brand new tri-motor setup of the company’s flagship sedan. It was called “the Plaid Powertrain,” and it ripped through the Ring in record time.
Just as Porsche was starting to gain some momentum as an EV competitor to Tesla, Musk ripped their title right out from under them. Within a few weeks, everyone was done talking about the Taycan and wanted to know more about the Plaid Model S. As of right now, it is still a car that has is relatively face-value details available, but we all know it is going to be fast.
Next, Rivian’s momentum was surely derailed by Musk when the company decided to unveil the Cybertruck. Rivian’s R1T was going to be “the next big thing” in the consumer pickup truck segment. Personally, I was pretty impressed with how many people knew about Rivian, because many friends who have little interest in the automotive sector as a whole knew who Rivian was. In California, this wouldn’t be as impressive. But I live in Pennsylvania, and it was pretty cool to hear people talk about Rivian in such a mainstream manner.
In November, Rivian had been holding more reservation events, developing its production facilities, filing patents, and really establishing itself as a real leader in the EV pickup market. Then came along the Cybertruck.
The Cybertruck’s design and its dystopian-like unveiling event were enough to derail Rivian’s momentum. Nobody was talking about Rivian, and even to this day nearly eight months later, the Cybertruck is still the hot topic. While Rivian remains a relevant character in the electric pickup truck community, the casual electric car fan is sharing articles about the Cybertruck, and not the R1T.
I’ll be honest, the space race rivalry between Musk and Bezos isn’t something I’ve followed as closely as the automotive stuff. But I remember when Bezos was on CNN in 2015 talking about his Blue Origin rockets being the first fully reusable rockets in the world. But SpaceX had successfully landed a reusable rocket in 2012. Not to mention, Musk’s words were often times reused by Bezos, who would pawn them off as his own idea. A video of that is available here.
https://youtu.be/Qe_TTI64fJA
Anyway, the proof is in the pudding. Musk has used other companies to time his announcements for groundbreaking products. He did it with the Plaid Model S, he did it with the Cybertruck, and he did it with the Semi. Momentum building is especially difficult in automotive manufacturing simply because most companies all share the same features and commonalities. It takes something truly special for people to get excited.
Elon has developed an interesting way to spread the word about his new products, and he’s basically used other companies to do it. Some might call it timely, some might call it rude. I call it smart.
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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
