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Tesla ride-sharing program: exploring its practicality and real world benefits

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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.)

Tesla Model 3 15" center touchscreen

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.)

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Battery expert Jeff Dahn inside the frunk of a red Model S

Battery expert Jeff Dahn inside the frunk of a red Model S [Source: dal.ca]

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.

Quick-Tesla-App-3

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.

Tesla-Autopilot-Traffic-Rain

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!”)

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Teslarati-Lifestyle-App

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.

Quick-Tesla-App-PARZ

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.

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Elon Musk proposes Grok 5 vs world’s best League of Legends team match

Musk’s proposal has received positive reception from professional players and Riot Games alike.

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk has proposed a high-profile gaming challenge for xAI’s upcoming Grok 5. As per Musk, it would be interesting to see if the large language model could beat the world’ best human League of Legends team with specific constraints.

Musk’s proposal has received positive reception from professional players and Riot Games alike, suggesting that the exciting exhibition match might indeed happen. 

Musk outlines restrictions for Grok

In his post on X, Musk detailed constraints to keep the match competitive, including limiting Grok to human-level reaction times, human-speed clicking, and viewing the game only through a camera feed with standard 20/20 vision. The idea quickly circulated across the esports community, drawing commentary from former pros and AI researchers, as noted in a Dexerto report.

Former League pro Eugene “Pobelter” Park expressed enthusiasm, offering to help Musk’s team and noting the unique comparison to past AI-versus-human breakthroughs, such as OpenAI’s Dota 2 bots. AI researcher Oriol Vinyals, who previously reached Grandmaster rank in StarCraft, suggested testing Grok in RTS gameplay as well. 

Musk welcomed the idea, even responding positively to Vinyals’ comment that it would be nice to see Optimus operate the mouse and keyboard.

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Pros debate Grok’s chances, T1 and Riot show interest

Reactions weren’t universally optimistic. Former professional mid-laner Joedat “Voyboy” Esfahani argued that even with Grok’s rapid learning capabilities, League of Legends requires deep synergy, game-state interpretation, and team coordination that may be difficult for AI to master at top competitive levels. Yiliang “Doublelift” Peng was similarly skeptical, publicly stating he doubted Grok could beat T1, or even himself, and jokingly promised to shave his head if Grok managed to win.

T1, however, embraced the proposal, responding with a GIF of Faker and the message “We are ready,” signaling their willingness to participate. Riot Games itself also reacted, with co-founder Marc Merrill replying to Musk with “let’s discuss.” Needless to say, it appears that Riot Games in onboard with the idea.

Though no match has been confirmed, interest from players, teams, and Riot suggests the concept could materialize into a landmark AI-versus-human matchup, potentially becoming one of the most viewed League of Legends events in history. The fact that Grok 5 will be constrained to human limits would definitely add an interesting dimension to the matchup, as it could truly demonstrate how human-like the large language model could be like in real-time scenarios.

Tesla has passed a key milestone, and it was one that CEO Elon Musk initially mentioned more than nine years ago when he published Master Plan, Part Deux. 

As per Tesla China in a post on its official Weibo account, the company’s Autopilot system has accumulated over 10 billion kilometers of real-world driving experience.

Tesla China’s subtle, but huge announcement

In its Weibo post, Tesla China announced that the company’s Autopilot system has accumulated 10 billion kilometers of driving experience. “In this respect, Tesla vehicles equipped with Autopilot technology can be considered to have the world’s most experienced and seasoned driver.” 

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Tesla AI’s handle on Weibo also highlighted a key advantage of the company’s self-driving system. “It will never drive under the influence of alcohol, be distracted, or be fatigued,” the team wrote. “We believe that advancements in Autopilot technology will save more lives.”

Tesla China did not clarify exactly what it meant by “Autopilot” in its Weibo post, though the company’s intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.

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Credit: Tesla China/Weibo

Elon Musk’s 10-billion-km estimate, way back in 2016

When Elon Musk published Master Plan Part Deux, he outlined his vision for the company’s autonomous driving system. At the time, Autopilot was still very new, though Musk was already envisioning how the system could get regulatory approval worldwide. He estimated that worldwide regulatory approval will probably require around 10 billion miles of real-world driving data, which was an impossible-sounding amount at the time. 

“Even once the software is highly refined and far better than the average human driver, there will still be a significant time gap, varying widely by jurisdiction, before true self-driving is approved by regulators. We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day,” Musk wrote. 

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It’s quite interesting but Tesla is indeed getting regulatory approval for FSD (Supervised) at a steady pace today, at a time when 10 billion miles of data has been achieved. The system has been active in the United States and has since been rolled out to other countries such as Australia, New Zealand, China, and, more recently, South Korea. Expectations are high that Tesla could secure FSD approval in Europe sometime next year as well. 

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Elon Musk’s Boring Company reveals Prufrock TBM’s most disruptive feature

As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.

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The Boring Company has quietly revealed one of its tunnel boring machines’ (TBMs) most underrated feature. As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.

Prufrock 5 leaves the factory

The Boring Company is arguably the quietest venture currently backed by Elon Musk, inspiring far fewer headlines than his other, more high-profile companies such as Tesla, SpaceX, and xAI. Still, the Boring Company’s mission is ambitious, as it is a company designed to solve the problem of congestion in cities.

To accomplish this, the Boring Company would need to develop tunnel boring machines that could dig incredibly quickly. To this end, the startup has designed Prufrock, an all-electric TBM that’s designed to eventually be fast enough as an everyday garden snail. Among TBMs, such a speed would be revolutionary. 

The startup has taken a step towards this recently, when The Boring Company posted a photo of Prufrock-5 coming out of its Bastrop, Texas facility. “On a rainy day in Bastrop, Prufrock-5 has left the factory. Will begin tunneling by December 1.  Hoping for a step function increase in speed,” the Boring Company wrote.

Prufrock’s quiet disruption

Interestingly enough, the Boring Company also mentioned a key feature of its Prufrock machines that makes them significantly more sustainable and reusable than conventional TBMs. As per a user on X, standard tunnel boring machines are often left underground at the conclusion of a project because retrieving them is usually more expensive and impractical than abandoning them in the location. 

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As per the Boring Company, however, this is not the case for its Prufrock machines, as they are retrieved, upgraded, and deployed again with improvements. “All Prufrocks are reused, usually with upgrades between launches. Prufrock-1 has now dug six tunnels,” the Boring Company wrote in its reply on X.

The Boring Company’s reply is quite exciting as it suggests that the TBMs from the tunneling startup could eventually be as reusable as SpaceX’s boosters. This is on brand for an Elon Musk-backed venture, of course, though the Boring Company’s disruption is a bit more underground. 

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Tesla accused of infringing robotics patents in new lawsuit

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tesla store in New York City
Credit: Tesla

Tesla is being accused of infringing robotics patents by a company called Perrone Robotics, which is based out of Charlottesville, Virginia.

The suit was filed in Alexandria, Virginia, and accuses Tesla of knowingly infringing upon five patents related to robotics systems for self-driving vehicles.

The company said its founder, Paul Perrone, developed general-purpose robotics operating systems for individual robots and automated devices.

Perrone Robotics claims that all Tesla vehicles utilizing the company’s Autopilot suite within the last six years infringe the five patents, according to a report from Reuters.

Tesla’s new Safety Report shows Autopilot is nine times safer than humans

One patent was something the company attempted to sell to Tesla back in 2017. The five patents cover a “General Purpose Operating System for Robotics,” otherwise known as GPROS.

The GPROS suite includes extensions for autonomous vehicle controls, path planning, and sensor fusion. One key patent, U.S. 10,331,136, was explicitly offered to Tesla by Perrone back in 2017, but the company rejected it.

The suit aims to halt any further infringements and seeks unspecified damages.

This is far from the first suit Tesla has been involved in, including one from his year with Perceptive Automata LLC, which accused Tesla of infringing on AI models to interpret pedestrian/cyclist intent via cameras without licensing. Tesla appeared in court in August, but its motion to dismiss was partially denied earlier this month.

Tesla also settled a suit with Arsus LLC, which accused Autopilot’s electronic stability features of infringing on rollover prevention tech. Tesla won via an inter partes review in September.

Most of these cases involve non-practicing entities or startups asserting broad autonomous vehicle patents against Tesla’s rapid iteration.

Tesla typically counters with those inter partes reviews, claiming invalidity. Tesla has successfully defended about 70 percent of the autonomous vehicle lawsuits it has been involved in since 2020, but settlements are common to avoid discovery costs.

The case is Perrone Robotics Inc v Tesla Inc, U.S. District Court, Eastern District of Virginia, No. 25-02156. Tesla has not yet listed an attorney for the case, according to the report.

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