News
Tesla Autopilot Abusers need to be held accountable, but how?
Tesla Autopilot Abusers need to be held accountable for their actions. For years, Tesla engineers have worked long and hard to improve Autopilot and Full Self-Driving. Hundreds of thousands of hours of work have been put into these driving assistance programs, whether it would be through software, coding, and programming or through other mediums. However, years of hard work, diligence, and improvement can be wiped away from the public’s perception in a minute with one foolish, irresponsible, and selfish act that can be derived from an owner’s need to show off their car’s semi-autonomous functionalities to others.
The most recent example of this is with Param Sharma, a self-proclaimed “rich as f***” social media influencer who has spent the last few days sparring with Tesla enthusiasts through his selfish and undeniably dangerous act of jumping in the backseat while his car is operating on Autopilot. Sharma has been seen on numerous occasions sitting in the backseat of his car while the vehicle drives itself. It is almost a sure thing that Sharma is using several cheat devices in his Tesla to bypass typical barriers the company has installed to ensure drivers are paying attention. These include a steering wheel sensor, seat sensors, and seatbelt sensors, all of which must be controlled or connected by the driver at the time of Autopilot’s use. We have seen several companies and some owners use DIY hack devices to bypass these safety thresholds. These are hazardous acts for several reasons, the most important being the lack of appreciation for other human lives.
This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
While Tesla fans and enthusiasts are undoubtedly confident in the abilities of Autopilot and Full Self-Driving, they will also admit that the use of these suites needs to be used responsibly and as the company describes. Tesla has never indicated that its vehicles can drive themselves, which can be characterized as “Level 5 Autonomy.” The company also indicates that drivers must keep their hands on the steering wheel at all times. There are several safety features that Tesla has installed to ensure that these are recognized by the car’s operator. If these safety precautions are not followed, the driver runs the risk of being put in “Autopilot Jail,” where they will not have the feature available to them for the remainder of their drive.
As previously mentioned, there are cheat devices for all of these safety features, however. This is where Tesla cannot necessarily control what goes on, and law enforcement, in my opinion, is more responsible than the company actually is. It is law enforcement’s job to stop this from happening if an officer sees it occurring. Nobody should be able to climb into the backseat of their vehicle while it is driving. A least not until many years of testing are completed, and many miles of fully autonomous functionalities are proven to be accurate and robust enough to handle real-world traffic.
The reason Tesla should step in, in my opinion, and create a list of repeat offenders who have proven themselves to be irresponsible and not trustworthy enough for Autopilot and FSD, is because if an accident happens while these influencers or everyday drivers are taking advantage of Autopilot’s capabilities, Tesla, along with every other company working to develop Level 5 Autonomous vehicles, takes a huge step backward. Not only will Tesla feel the most criticism from the media, but it will be poured on as the company is taking no real steps to prevent it from happening. Unbelievably, we in the Tesla community know what the vehicles can and what safety precautions have been installed to prevent these incidents from happening. However, mainstream media outlets do not have an explicit and in-depth understanding of Tesla’s capabilities. There is plenty of evidence to suggest that they have no intentions of improving their comprehension of what Tesla does daily.
While talking to someone about this subject on Thursday, they highlighted that this isn’t Tesla’s concern. And while I believe that it really isn’t, I don’t think that’s an acceptable answer to solve all of the abuses going on with the cars. Tesla should take matters into its own hands, and I believe it should because it has done it before. Elon Musk and Tesla decided to expand the FSD Beta testing pool recently, but the company also revoked access to some people who have decided that they would not use the functionality properly. Why is this any different in the case of AP/FSD? Just because someone pays for something doesn’t mean the company cannot revoke access to it. If you pay for access to play video games online and hack or use abusive language, there are major consequences. Your console can get banned, and you would be required to buy a completely new unit if you ever wished to play online video games again.
While unfortunate, Tesla will have to make a stand against those who abuse Autopilot, in my opinion. There needs to be heavier consequences by the company simply because an accident caused by abuse or misuse of the functionalities could set the company back several years and put their work to solve Level 5 Autonomy in a vacuum. There is entirely too much at stake here to even begin to let people off the hook. I believe that Tesla’s actions should follow law enforcement action. When police officers find someone violating the proper use of the system, the normal reckless driving charges should be held up, and there should be increasingly worse consequences for every subsequent offense. Perhaps after the third offense, Tesla could be contacted and could have AP/FSD taken off of the car. There could be a probationary period or a zero-tolerance policy; it would all be up to the company.
I believe that this needs to be taken so seriously, and there need to be consequences because of the blatant disregard for other people and their work. The irresponsible use of AP/FSD by childish drivers means that Tesla’s hard work is being jeopardized by horrible behavior. While many people don’t enjoy driving, it still requires responsibility, and everyone on the road is entrusting you to drive responsibly. It could cost your life or, even worse, someone else’s.
A big thanks to our long-time supporters and new subscribers! Thank you.
I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!
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
