News
Tesla ride-sharing program: exploring its practicality and real world benefits
Many of the Tesla faithful sat with bated breaths waiting for the Master Plan Part 2 to be published. Once it did, we devoured every word, with some words more surprising than others. Making a pickup truck, while not surprising is thought-provoking. Ride-sharing as a concept, also not very surprising. Ride-sharing using the autonomously driven car that you personally own? Now there’s something to think about.
“In cities where demand exceeds the supply of customer-owned cars, Tesla will operate its own fleet, ensuring you can always hail a ride from us no matter where you are.” – Elon Musk
Let’s consider for a moment what this might look like.
Practicality
My initial thought of an autonomous Tesla was ride-sharing within the same household. My spouse and I have jobs that are in opposite directions, but we also work different hours with him having the far shorter commute. That being said, it would technically be feasible for a car to drop me off at work and make it back home just in time to take him. Then, it would have plenty of time to come back to me before my work day is done. Driving me home would also be tight – but I think the car would make it just in time to drop me off and go grab him. (Anyone else getting wide-eyed at the thought of a car driving you around? I sure am!) The only downside that I can think of is that both of us, at times, like to run errands on a lunch break. Surely with a little planning we could just schedule who will have the car available mid day. For example, on his day the car wouldn’t come back to get me until later in the day. Should I need to use it, it could come back to me earlier. All of this sounds technically feasible but the miles would add up quickly. Over 90 miles a day, to be exact; double what we currently drive combined. This may be obvious, since the car is making each round trip twice, but on paper that distance really hits home. As for cost, our electricity use at home would clearly go up. What would go down, however, is the cost associated with having a second car. I only estimate that the Tesla costs us $50/month to power now but even if it went up to $150, that delta is far less than the savings associated with not having a second car to insure and maintain. (Let alone pay to own/lease, depending on how expensive a car you’d be giving up.)
In this regard, I see practicality as a wash. If technically feasible with your schedule as it would be with ours, it may work. Getting past the mental barrier of having only one car between two adults who drive and work full time however, may be a challenge. Tesla has shifted thinking in many ways already, so it’s possible this will as well. I keep trying to think of reasons why we need two cars but aside from our daily jobs, which a car that can drive us to negates, all I’m coming up with is the rare occasion where we both need to go somewhere different at the same time. Truth be told, I’m sure even that could be worked out in most cases. In those where it can’t? Summon up another autonomous Tesla to drive you where you need to be. Again, this comes with a cost but again, it pales in comparison to the cost to own a second car that spends over 90% of its life parked anyway.
Public Domain
Most Tesla owners I know treat their cars with extreme care. I am no exception. The thought of a stranger taking up residence in my car without me sends shivers down my spine. I guess there is only so much damage a person could do sitting in the back seat being chauffeured, presumably while staring down at their smart phone to pass the time. The after 2am crowd, on the other hand, poses additional risks but I for one wouldn’t send my car out that late. A sick passenger is one danger, sharing the road with impaired drivers in (gasp!) manual driving mode is another. How do you specify who is eligible for pick up anyway? Imagine the headline “Tesla picks up prison escapee and drives it across the state line.” Add in your fear here (underage runaway, woman in labor, very sweaty marathon runner.)
Availability
This is the main point I’ve heard brought up in my quick chats about this topic. How do you schedule your car to go off and pick people up within a strict window until you need it again? How does traffic play a part? Do you wait until you’re home for the evening and send it out, knowing full well it’ll definitely make it home by the next morning? Or do you risk letting it take a 4pm pickup when doing so could leave you stranded at the office? How far would you let your car go anyway? What about charge? You might need a certain range to get home so can you restrict your car’s pickup jobs to a certain distance? What if it’s cold outside?
In this regard, I have a lot more questions than answers. I have no interest in my car being late to bring me to or from work. It’s my car after all. I have even less interest in being picked up without enough range to get me where I’m going. I live in a major city and I don’t expect to see a Supercharger within our limits any time soon. There are now chargers within 100 miles of me in all major directions, which very easily enables long distance travel as intended. I’m happy with this, as I certainly don’t find myself needing a fast charge close to home. If I plan on letting my car work all day however, that may change. Letting it go home and plug in is impractical at the current rate of my charging setup. 29 miles per hour doesn’t speak well to quick turnaround.
Cost
All of the questions above can be overlooked for a price. The big question is what that price might be. In my own life, I wouldn’t entertain the idea if it made me $100 per month. If it made me $1,000, I’d be the first in line to sign up. Everyone has a different sensitivity to price but I’d be willing to bet that even the least price sensitive people would at least consider using their Tesla in this way if the resulting income matched or exceeded their car payment. Getting to own and drive what I consider the world’s best car for no monthly payment is an offer that’d be too hard to refuse.
Those were just arbitrary numbers though. What might be realistic? I’d like to think that tomorrow’s Tesla is comparable to today’s Uber Black. My Uber app only gives prices for Uber X but I know that Black costs more. At this very moment, a quick ride from my work place to the very center of our downtown is $12 on Uber X. Let’s estimate that it would be $20 for Black. In fact, let’s assume the average ride would net $20. The car would certainly be smart enough to try to do another pickup on the way back to me so I can probably count on $40 as a “round trip” made during my work day. If I let the car drive two round trips on Friday and Saturday nights as well as one each work day, that bring us up to 9 round trips per week, or $360. Already, this isn’t sounding so bad. Let’s scale that down due to some Tesla profit and market saturation. It still seems very reasonable that with little time commitment, $200 per week is reasonable. We’re at $860 per month. If you, like me, go out into a city once or twice a month yourself and spend anywhere from $10-30 in parking or cab rides, you could be earning/saving a combined $900 each month. I suppose I just learned that yes, I’d probably consider letting my car go out and work for me. Even at half the dollars I’m picturing, a Model 3 payment would be covered.
Convenience
Airports. Nights out drinking. Events out of town that force a one night hotel stay. Finding parking in crowded places. Paying for parking at concert or sports venues. These are some of the most popular reasons people today might use ride sharing services even if they have a car. It would sure be convenient if your own car could handle these occasions for you. This, I know, has more to do with autonomy than making the decision to allow your car to work for you. But it’s only a small leap from one to the other. I say this because if my car dropped me off at an Eagles game, I wouldn’t want it paying for parking while it waits. I’d want it headed back home, because that’s a safe place for it to wait. But if it’s going to driving alone anyway, why not pick someone up? It’ll be an exceptionally convenient life when cars can drive for us.
Implementation
How might a program like this actually work? Given a very elementary level of consideration, I imagine the same way Uber works now. I picture a beautiful and streamlined app interface on your smart phone that allows you to log in when you want the car to be able to drive. I imagine the ability to draw a border around the distance you’re willing to let your car travel, as well as the ability to set a time that the car has to return by. Many people far smarter than I will program fantastic algorithms that only allow the car to accept rides that, given traffic and other factors, will get the car back within its allowable time window. I also picture the ability to send the car out with a child’s car seat, if summoned. That would require a bit of interaction, as the app would have to notify you to install it first unless you leave one installed. Speaking of app, I imagine it would notify you that it’s about to head out. (“Mom! I’m going out for a bit. Be back in an hour!”)

Supercharger map with crowdsourced recommendations from Tesla owners
Challenges
Much like I expect to be challenging for vehicle autonomy in general, the regulatory nightmare that is a driver-less vehicle will be the biggest hurdle to jump, in my humble opinion. Those aforementioned people way smarter than I? They’ll figure out programming the self driving technology sooner than later. They’ve already done a lot. Those perhaps-not-as-smart people we elect to office? Those folks I’m not too confidant in. Well, not them per say. The big jumbled mess of a political system that in the United States and so many other places churns out rules based on the almighty dollar rather than the good of citizens. Right here in my own home town, Uber is technically not legal. It’s legal in the state, just not the city, which has a cluster of a Parking Authority that somehow controls taxis. Except, by the way, when the Democratic National Convention came to town around the same time our local train system was having problems. Then the city made a special exception to “let” Uber operate. (Spoiler alert: it operates anyway.) My point is to illustrate that all the engineering and data in the world won’t guarantee that Tesla will even be allowed to operate driver-less ride sharing services as quickly as the technology itself will be available. That to me, is challenge numero uno.
The technology itself though, still has a lot of work ahead. Just like any parent tells their teenage driver “It’s not you, it’s the other cars on the road I’m worried about.” A Tesla can be a flawless driver 100% of the time on empty roads and that still won’t even come close to accurately predicting how it will drive when sharing the roads with distracted drivers, well-meaning drivers in poor weather conditions, and anything in between. Temporary lane restrictions are hard to compute, as is seeing a car that you just know is going to make a move without a signal. Years of driving experience allows people to read another car’s “body language” so to speak. Will a car ever be able to do the same?
An extension on the both of the topics above, I can only imagine the bureaucratic and technological nightmare that will result if (when!) cars have to learn to talk to each other. Surely that’s where we are headed. It’d be safer that way. But can you see BMW, who I suspect is a little hurt right now, cooperating with Tesla? I can’t but I hope they’ll have no choice. Step up or step aside.
Production vs. demand is another potential challenge. If the ability to buy a car and have it work for you to the tune of effectively negating your payment arrives sooner than Tesla exponentially increases its output of cars, we’ll have a problem. Maybe I’m biased, but I assume a darn lot of people would jump at the chance of driving a car that pays for itself. I mean, I wasn’t wrong when I called myself crazy for assuming there would be 50-100,000 people would put in reservations for a Model 3. Well, I was wrong, but in the right direction.
What do you envision ride-sharing capability looking like? What challenges will it face? Drop me a comment.
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.




