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Who will forego owning a car when Tesla’s ride-sharing service becomes available?

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Picture this: no car payment, no car insurance, no circling the block looking for parking and no depreciation. Foregoing car ownership sounds pretty great. Why is it then that so many Americans insist on having a car? Simply stated: freedom.

Somewhere after the years of public transit, biking many miles or begging your parents for a ride, most of us got our own set of wheels. For some of us, it came in the form of a $900 death trap of a car that shook violently above 55 miles per hour. For others, an uncool but reliable toaster of a car. The car world as we have known it has always meant that unless you live and work in a major city with great public transportation, a personally owned vehicle is about the only convenient way to travel from point A to point B on a regular basis. This is especially true for families. If you’ve never been on a bus or subway with a baby in a stroller, spare yourself the circus. It’s also true depending on exactly which neighborhood you live in, even if you are in a major city. Taxicabs, where available, are far more convenient than public transportation, but certainly aren’t widely available outside of the most densely populated metro areas and at least to me, have always been cost prohibitive to use for any more than a special occasion. To reiterate the point, we all like freedom. And convenience. We like to go where we want to when we want to, without standing on a bus or watching a train timetable.

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Ride-sharing services such as Lyft and Uber have upended the traditional taxicab model and, in many markets, undercut the price while providing a superior service. I certainly enjoyed riding in a flawlessly clean Kia Optima Hybrid Saturday night with a chatty and friendly driver far more than the high mileage, stale smelling, yellow Crown Vics that pass as taxis in Philly. The before and after experience are far better as well. Smart phone apps tell you who will be picking you up, in which kind of car, and exactly how far away they are. Cabs still require being flagged down and the joke’s on you when the 5th one passes you by with the “vacant” indicator light in use but passengers in the rear. Afterwards, you get notified that your credit card was charged in some amount that you had already been prepared for. In a taxi, you either pull out cash when you see the ever-surprising sum due or watch the driver give you an attitude for using their in-car credit card machine.

Trends are already developing among young adults to move into thriving urban areas, work nearby and pass up owning their own wheels. A lot of reasons contribute but the ease of using ride-sharing services is certainly one of them. What I’d like to explore here is whether or not this trend will grow – both among young adults as well as others – as autonomous vehicles come to market and bring with them the possibility that ride-sharing services will be even more common and affordable. I offer below a few categories of people and my assessment on whether or not they may give up a car in favor of autonomous vehicle ride-sharing.

TARGET: YOUNG, SINGLE, URBAN DWELLER. ANSWER: YES.

These folks are already the group that are giving up cars today, so surely they’ll continue to do so when that option becomes cheaper and even more widely available.

TARGET: YOUNG, SINGLE, ANYWHERE ELSE DWELLER; ANSWER: PROBABLY.

These folks will share many of attributes of those who forego car ownership today. They will, on average, have student loan debt to tackle and plenty of familiarity with smart phones.

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TARGET: TWO ADULT HOUSEHOLD WITH NO KIDS. ANSWER: MAYBE.

This group of folks may be willing to forego one car in the household. Depending on their age and familiarity with today’s ride-sharing offerings, they could be the perfect target to give up one car. This demographic is the one I belong to. Having jobs in opposite directions makes owning two cars the most convenient option, but outside of the work commute, the second car never moves.

TARGET: TWO PARENT FAMILY. ANSWER: PROBABLY NOT.

Children are required to ride in car seats for quite a few years these days. For that reason alone, I would imagine ride-sharing to be more trouble than it’s worth. If, like the two-adult household with no kids one car is solely used as a commuter, that one could probably be given up. But the way I understand today’s modern family to work, either parent has to be ready to spring into action with little notice if daycare gets shut down due to snow or Junior gets sick in school.

TARGET: MATURE ADULTS. ANSWER: HOPEFULLY.

This is where I’d really like to see ride-sharing take off. If you are fortunate enough to make it to old age, your eyes or reflexes may not join you in their youthful form. The mature adults I’ve been close with have all wanted to continue driving beyond the point that in their individual circumstances, was probably wise. I get it. Freedom. When you’re a feisty octogenarian with an old habit of going to the grocery store daily (a holdover for the decades when you hid your smoking habit from everyone) it must be impossible to imagine yourself sans keys. If we can invent these cars, surely we can also invent easy ways of calling one up for a customer who isn’t particularly interested in owning or operating a smart device. (A telephone dialing service, perhaps – especially helpful for those with vision problems.)

AS FOR ME?

I just got done telling my better half that due to his short commute and our never using our second car outside of the work day, we could easily ditch car number two and have him Uber to work. The conversation was short-lived, as I have the longer commute and he has no interest in handing over the Model S fob to me on a permanent basis. In theory though, might it work? Yes. Would I end up doing it? Probably no. I’d be more inclined to owning an autonomous Tesla and letting it work for me such that the overall cost of owning and operating it was comparable to using a ride-sharing service in place of owning one.

The why is simple: freedom.

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Tesla Full Self-Driving: five things that are keeping FSD supervised

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Credit: Tesla

Tesla Full Self-Driving is really good. I have used it for over 76 percent of my driving since FSD v14 launched around this time last year, equating to about 76 percent of my miles using the suite. It’s truly the only way I prefer to travel, but admittedly I save some of the more fun drives for myself.

Even with all of the great things it has done for me, including saving me from being involved in an accident, there are still a handful of things that it needs to improve on. These issues recur from update to update, and while there have been some improvements, they still give me reasons to either soft or hard intervene.

A soft intervention means an adjustment that is needed without disengaging the suite, like manually using a turn signal to change lanes while the car still operates on FSD. What I’d consider to be a “hard intervention” is anything that requires me to disengage the suite altogether, like missing a turn or performing a maneuver I’m uncomfortable with. Of course, some hard interventions will be subjective.

Here are the five things I’d like to see Tesla really focus on through the final versions of v14 and hope to see completely improved with v15.

Speed Limit Recognition and Adjustment

There are entirely too many instances of FSD traveling at a speed that is just totally outrageous. While some of these events can occur on Hurry Mode, I’ve even had issues with it on Standard from time to time, and despite wanting more aggressive maneuvers or a slight bit of urgency, I don’t want to worry about getting a ticket while doing it.

The two areas I notice it the most are in school zones and on local roads. When a Speed Limit changes from 45 to 35, FSD does not always slow down in a way that would appease local law enforcement. On Hurry, 52-55 is pretty standard for a rate of travel in a 45 MPH zone. When it changes to 35, FSD shows zero urgency to slow down to an appropriate speed.

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School Zones have been a true pain point, and as recently as last week, I had an issue with it:

Realistically, most Speed Limit issues are a soft intervention, as I simply scroll into a slower Speed Profile to get the car to slow down. School Zones are a hard intervention, as they require me to completely take over and travel at the posted 15 MPH limit. Even on Sloth, it simply does not get down to a low enough speed.

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Parking

Parking is one thing that has really improved over time, but there are still some pretty considerable hoops Tesla needs to jump through to get it to a point where it can be unsupervised.

Parking preferences seem to be where a lot of these issues will be resolved, as most of my complaints come from the fact that the place FSD chooses to park are usually not where I would personally choose to park. This morning, for example, when I arrived at the gym, FSD chose to park next to a vehicle that was parked with its two tires in the spot that FSD picked.

There were three spots in between that car and the nearest car, so FSD could have chosen the spot that would have given a one-spot buffer between the two vehicles. In a parking lot full of empty spots, don’t be that guy who parks next to a car.

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Generally, parking performance is vastly improved from where it was a year ago; I rarely am adjusting how it pulls or backs into a spot on v14.3.10, but in earlier versions, I definitely had my problems. It’s gotten really good since, and this version has been the best in terms of parking performance. It’s more about the places FSD choose to park, and not necessarily the parking itself.

There are also no options or map data to allow you to choose a charger at a place like a grocery store if it offers charging. These are things that are a bit more complex, but they will be needed for unsupervised FSD operation.

Navigation

Navigation was always going to be on this list, simply because it is one of the most inconsistent and mind-boggling things about FSD. Even after a year of intervening, sending voice notes, and overriding decisions, FSD still tries to take me out of my neighborhood the wrong way. You cannot turn left out of my neighborhood’s main entrance and exit, only right. Navigation still prompts a left turn out of my neighborhood’s main entrance and exit, instead of going around the neighborhood and exiting where a left turn is legal.

Tesla rolled out Preferred Routes with the Summer Update, and this has resolved some of the issues. I also found my own personal workaround:

Some of the more mind-boggling things that FSD used to do with Navigation have been remedied, but it is still a frequent complaint for me and many other owners. I’d just like to see it adopt those preferred routes more frequently and maybe learn them a little faster.

Certain Highway Behaviors

Highway travel is the most consistent and perhaps FSD’s best use case. There is nothing better than having FSD handle busy highway traffic or just long, monotonous, and boring drives. I love to use it for my trips to the Flight 93 Memorial where I volunteer. When I drove manually, I chose to get a hotel and stay overnight because it’s about a 2.5 hour drive. FSD lets me make the drive, put in a volunteering shift, and drive home, without much fatigue. I have found that this is where FSD is most valuable for me, personally.

However, there are a few things FSD does on the highway that are just weird.

One thing I’ve had issues with as of late is that there will be times when I’m about a mile from my exit, the car is in the left lane and is traveling faster than the traffic in the cruising late. Instead of completing a pass and then getting over with no traffic ahead, the car will sometimes drastically and suddenly slow down, switch to the slow lane, and get behind a vehicle — all with a mile until the exit. On average, I’ll have around one minute from the time I get to my exit if it’s a mile away, because in most cases, I’m traveling somewhere around 60 MPH on the highway.

There is no reason to not complete that last pass, then get into the right lane, and have an unobstructed path to the exit. This is one of the more strange behaviors I’ve seen it do, and it really does feel like a bug. Here’s an example of it from FSD v14.3.7:

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I ended up overriding the turn signal and using the accelerator to nudge the car to do what I wanted it to do. There was no reason to get in the left lane and add to the congestion in that lane.

Another thing that FSD does frequently is camps in the left lane, especially on Hurry. Cruising in the passing lane is illegal in Pennsylvania, and I know it is not a crime to do that everywhere. However, it is here, and I really wish the car was a little quicker to get over in the left lane when it’s cruising.

Here’s a pretty drastic example I had just a couple weeks back:

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Recognizing Drastic Changes in Road Condition

I think anyone who has ever used FSD knows that potholes are a huge issue, but so are large bumps or sudden changes in road condition. At the intersection of Kreutz Creek Rd. and Rt. 462 in Hellam, PA the roads are nearly set up as a ramp, and going over it at a speed of over 35 MPH can send your head into the glass roof, your butt off your seat, and a brace for the sudden thud that is inevitably coming when you finally touch back down again.

You can see here I tried to change Speed Profiles quickly, but I did it a tad too late:

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There are other roads in my area that should not be taken at even the posted Speed Limit because of the damage it could do to your car. Here’s another, where I disengaged FSD altogether:

The recognition of these bumps is so crucial for two main reasons: they can cause injury, and they can cause damage to the car. These are reasons why the suite is supervised and drivers should remain attentive. I could not imagine going over that bump at an excessive speed if I had back issues, or if I were older.

Potholes are rarely recognized and usually require a lead car to avoid them. I had FSD use a lead car to avoid a pretty sizeable manhole cover a few weeks back:

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Tesla says that there are improvements coming for potholes, so hopefully that means these bumps will also be recognized consistently.

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SpaceX just locked up a NASA record no other U.S. spacecraft can touch

SpaceX’s Crew-13 Dragon reached the ISS in under eight hours, and NASA confirmed a record.

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SpaceX now owns every spot on the list of the five fastest trips a U.S. spacecraft has ever made to the International Space Station, and its newest entry beat the old mark by more than four hours.

Crew Dragon Grace docked to the forward port of the station’s Harmony module at 7:05 p.m. ET on October 1, just 7 hours and 55 minutes after lifting off from Space Launch Complex 40 at Cape Canaveral. NASA confirmed the milestone in a space station blog update, writing that the flight “marked the fastest launch‑to‑docking of a U.S. spacecraft in the history of the International Space Station.”

The previous U.S. record also belonged to Dragon. SpaceX’s uncrewed CRS-31 cargo mission reached the station in a little over 12 hours in November 2024. The fastest crewed trip before last week was Crew-11, which took 14 hours and 43 minutes in August 2025, according to Space.com.

A post that Elon Musk reposted on Monday filled out the rest of the ranking. Behind Crew-13, CRS-31 and Crew-11 sit Axiom’s Ax-2 mission at 15 hours and 35 minutes and NASA’s Crew-4 at 15 hours and 44 minutes. All five flew on Dragon.

SpaceX turned a heralding moment for Starship into its greatest

Crew-13 carried NASA astronauts Jessica Watkins and Luke Delaney, Canadian Space Agency astronaut Joshua Kutryk, and Roscosmos cosmonaut Sergey Teteryatnikov. NASA had projected a docking around 8 p.m. ET, as Teslarati reported the day before launch, and Dragon arrived nearly an hour early. Our launch day coverage noted that the flight was lined up to be the quickest Crew Dragon transit yet.

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The speed came from timing more than hardware. SpaceX’s Julianna Scheiman said the station “was in an opportune spot in space,” which let Dragon start closing the gap almost immediately after reaching orbit. “This is close to the fastest it could be,” she added. Most Crew Dragon flights still take close to a day, using a series of Draco thruster burns to raise and phase their orbit before arrival.

Dragon’s next job at the station is a departure. NASA said Monday it is targeting 8:05 a.m. ET on Wednesday, October 7, for Crew-12 to undock, setting up a splashdown off the coast of California around 11:34 a.m. on Thursday. Clearing that port makes room for CRS-35, a cargo Dragon carrying the final set of iROSA solar arrays.

Dragon remains NASA’s only operational ride to the station while Boeing’s Starliner stays grounded, and the agency recently added Crew-15, Crew-16 and Crew-17 to SpaceX’s contract in a $946 million modification.

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Elon Musk teases TSMC as potential Terafab partner

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SpaceX Terafab rendering
SpaceX Terafab rendering

Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.

Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.

The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.

Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.

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Elon Musk’s Terafab project locks up massive new partner

Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.

Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.

Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.

Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.

If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.

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