News
‘Tesla Killers’ are like Bigfoot: They don’t exist and they never will
The term “Tesla Killer” should be retired for the rest of time. For years, automakers across the world have released their introductory electric cars into the quickly growing EV sector. With plans written out and cool, sporty photographs and renders of the “next big thing” in the EV sector being released by some of the world’s largest and oldest car company’s, many media outlets, including this one, have referred to some cars as “Tesla Killers” because that is what automakers are trying to do: knock Tesla off of its pedestal and try to derail some of the momentum that Elon Musk’s company has gained through the past several years.
The problem is this: These cars that are always coined as “Tesla Killers” never pan out to what they’re supposed to be. They’re all hype and relatively no real threat to Tesla or any of its vehicles. In all honesty, “Tesla Killers” are like Bigfoot. You always hear about them, but you never see them, and in the back of your mind, you think that it could be real, but more than likely, it isn’t.
I will admit, there are cars out there that have legitimate potential to derail some of Tesla’s momentum. I think the Lucid Air could be a great competitor to the Model S, and I think Rivian’s R1T could be a great option for potential Cybertruck owners. Some great cars are coming to the market, but none of them are worthy of being deemed a “Tesla Killer.”
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The fact is, the word “killer,” when attributed to everything, means it is a complete ending to any chance of success when used in the comparison of two things. A “Tesla Killer” would have to make a competing car model obsolete, killing it off from the market, and this simply doesn’t happen in the automotive world, at least in my opinion. Even if cars have slumpy sales records or slow months, someone will still buy that car eventually, no matter how crappy, inadequate, or ineffective that vehicle is.
The truth is that all of the cars labeled as “Tesla Killers” have always fallen short. I can remember the Mercedes-Benz EQC donning the label, only to sell barely any units and have the German automaker reconsidering its stance on EVs. The same thing was said about the EQS unveiling. While it is a beautiful car, does anyone really think it’s going to make Tesla reconsider its plans for future models or make it redesign any of its current ones?
Once-deemed ‘Tesla killer’ Mercedes EQC flops with 55 units sold in Germany to date
No, it won’t. It’s not an “it likely won’t” or “there’s a small chance.” It won’t happen. Period.
Tesla is on the top of the EV sector. Like it or not, nobody can really compete with them currently, and vaporware is the only real threat to Tesla’s current momentum. For years, these car companies have said they will build these incredible EVs with all of these great features. Towing capabilities, wading depth, 0-60 MPH times that are more than impressive, astronomical range ratings. You name it, one of these car companies has said it. But how many times, honestly, has a car company kept its word with an EV that it plans to release? How many times have these car companies with decades or even a century of experience come up short? How many times have EV enthusiasts been promised “the next big thing in the EV sector,” only to come up short and revise their plans?
The truth is, it happens more often than not. Car companies need to start getting honest about their issues when developing EVs. I believe transparency, not hopeless promises, is the key to winning over the incredibly loyal EV enthusiasts that make up the community. It is no secret that Tesla owners and fans are quite dismissive toward competitors. Can you really blame them? Can you see how for years, these other car companies have made all of these promises, only for their entire plan to crumble apart like an extra dry cookie?
This isn’t to say that Tesla is perfect, and it isn’t to say that they won’t eventually fall off of their pedestal. Tesla has plenty of issues. They’re dealing with supply constraints, timing inaccuracies, production bottlenecks, and delays in permissions (especially in Berlin). The company also has major issues with customer service and communication, something that has been a complaint in more recent memory. However, Tesla rarely misses when it comes to its cars. Yes, some come later than the company says, but there’s no denying that many of the specs it releases for its vehicles are accurate. No matter how astronomical or outlandish some specs may seem, Tesla usually makes good on its promises.
This is something that other automakers that have been deemed “Tesla Killers” simply haven’t done. They may put fancy names, specs, and features on their cars, but they either fall short and aren’t as effective as they say the car will be, or the car just gets delayed for several years until the companies have put in the correct infrastructure for adequate production.
“Tesla Killers” do not exist. They never have, and they never will. There will never be a car that comes along and makes a Tesla completely obsolete in the EV market. Besides, all of these companies producing “Tesla Killers” wouldn’t even plan to manufacture EVs if it wasn’t for Tesla. Let’s face it; these cars are really “Saviors” to whatever manufacturer they belong to because if they weren’t being planned or produced, these companies would be obsolete in a few years, especially as the EV sector continues to gain momentum and take market share away from petrol-powered machines.
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-Joey
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
