It is tough being Tesla. In a world where cars are becoming electric, just as the company initially intended when its mission began 18 years ago, Tesla is the top dog at the moment. Every car company in the world is nipping at its heels in an attempt to catch up to Elon Musk’s car company. However, recent developments have inspired me to look at a different kind of competition that Tesla is facing, something that feels somewhat unjust in the grand scheme of things. Unfortunately, it’s not from another car company, it’s from federal investigators and Tesla skeptics who continue to magnify the company’s accidents, all because there is the possibility that a car involved in an accident may have been operating on Autopilot.
Earlier this week, a Model Y was involved in a crash in Michigan. What turned out to be a case of reckless driving was initially blamed on the possibility of Autopilot by mainstream media sources. Unfortunately for them, their credibility regarding Tesla vehicles continues to be chipped away as they sacrifice long-term trustworthiness in the field of electric vehicles for short-term viewership. A Tesla was in fact in an accident in Detroit, and yes, the NHTSA was investigating it. There’s no reason to go any more broad than that.
Unfortunately, Tesla’s rollout of Autopilot and Full Self-Driving has put the company at risk for these types of stories. Anytime a Tesla crashes, the first thing that is planted in people’s minds is the possibility that the car may have been using the semi-autonomous driving functionalities. Why? Human beings are still responsible for operating the car even when the vehicle is utilizing the state-of-the-art technology. It is in no way the car’s fault when the driver is still responsible for the ultimate operation of the vehicle. It’s like blaming a fork for obesity, in my eyes.
While it is unfortunate that there have been deaths due to Autopilot, there are instances where gross negligence from the driver is truly the cause of an accident. For example, in a case where speed and reckless driving is truly the factor, there needs to be an immediate clarification by investigating officers. Perhaps Tesla could provide some clarification to authorities in some kind of system where officers could give the VIN of a vehicle involved, and Tesla could determine immediately whether the car was operating using its driver assistance features. Obviously, there may be a better way. But in the short-term, especially in the early days of the FSD Beta, the credibility of the vehicle’s systems is extremely important for future rollouts.
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Statistically, Tesla vehicles are much safer than human drivers, to begin with. Recent Q4 2020 Safety Report statistics from Tesla show that one accident occurred with Autopilot every 3.45 million miles. The national average is 484,000 miles. Isn’t that enough to prove Autopilot is a better option than human driving? By the way, it only gets more accurate and precise with every mile driven thanks to its Neural Networks that attain new data.
The exposure Tesla receives after one of these tragic accidents is likely what is the most frustrating. Immediately, people jump to conclusions and assume the car was responsible for the issues. It’s interesting though because I can’t ever recall a single instance of media jumping all over an issue with SuperCruise or any of the other numerous driver assistance systems that are out on the market today. I am sure there has been coverage, I just can’t recall any instance where it has been a national headline like Tesla seems to be included in on a regular basis.
In all honesty, it is just extremely frustrating to know that there is so much focus on Tesla’s shortcomings instead of its broad successes. I am a TSLA investor, but I am also extremely critical of the company at times, and I believe it is because of my holdings. There are times I would do things differently. I was vocal about my distaste for not telling any Model Y LR RWD reservation holders that their cars weren’t going to be made. I am upset that there is relatively no communication with Model S Plaid reservation holders regarding their steering wheels. I am not a fan that we’ve been told Semi/Roadster production is imminent on numerous occasions but we are still sitting here with neither of those vehicles. I get the bottlenecks, but I think those things have just frustrated me personally.
I’m glad Tesla spends $0 on advertising. The news outlets & media don’t deserve Teslas money. It’s better used growing the company & for things like building next-gen factories. Ford and GM alone will spend over $5B this year on US advertising. The bias is clear and money talks.
— Sawyer Merritt ?? (@SawyerMerritt) March 17, 2021
However, I am also going to admit when things are just plain unfair, and Tesla is a victim of that on so many occasions. I don’t know if that has to do with oil money lining the pockets of MSM, or it is just an attempt to derail a company that has really disrupted the automotive industry. I won’t speculate. There is, of course, a reason for the investigations that could be beneficial. It could just be an attempt to learn from the mistakes of Tesla and pass them along for future instances. Unfortunately, there will be more accidents with self-driving software, and it will go far beyond Tesla. However, Tesla is the only company with a robust self-driving program, so the microscope almost needs to be on them at times, but that’s where this whole situation really gets sticky.
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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
