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How Starlink & T-Mobile’s partnership will impact 5G for the better for AI cameras
Starlink and T-Mobile’s partnership will be revolutionary for cellular service and Smarter AI CEO Chris Piche had some thoughts on how the new partnership will impact 5G capability for the automotive industry.
Chris, who has created services including AT&T TV, BBM Video, Poly Video, and STUN/TURN/ICE shared his thoughts on the effect of 5G on vehicles and telecommunications in an interview with Teslarati.
AI Cameras, Tesla, Starlink & autonomous vehicles
Before founding Smarter AI, the Top 40 under 40 entrepreneur’s company created a technology that BlackBerry licensed to enable voice and video calling. This gave Chris a front-row seat to witness the speed at which technology can transform markets.
Smarter AI is a software platform for artificial intelligence cameras.
“Smarter AI is to cameras as Android and iOS are to phones,” he told me. The company’s first vertical market is focusing on transportation. Vehicle camera systems such as dash cams or other camera systems for larger vehicles are in this market.
“The connection here with Tesla, Starlink, and T-Mobile is all around autonomous transportation. Today’s autonomous transportation whether it’s in Tesla or another kind of vehicle all relies on line of sight situational awareness. In Tesla’s case, they rely on some cases exclusively and other cases primarily on cameras and computer vision to try to understand what’s happening around the car.”
“Many of their competitors use LiDAR and don’t rely on cameras. But in both cases, it’s all based on line of sight. What they can actually see in a straight line.”
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Seeing beyond the line of sight
Chris told me that one of the new technologies that Smarter AI and other companies are developing is called vehicle to vehicle (V2V) or vehicle to everything else (V2X).
“These technologies enable cars to see beyond line of sight. Imagine you’re coming to an intersection and are planning to take a turn.”
Instead of waiting to see what’s ahead of you on the street, you’re turning on to, the technology will tell you exactly what is ahead. There could be a stopped car, a pedestrian about to jaywalk, or some type of temporary obstruction that you are unaware of.
“Imagine if there was a camera system located at the intersection. Imagine that as your vehicle is approaching that intersection, your vehicle could communicate with the camera and the camera could tell your vehicle that there’s some sort of obstacle.”
An autonomous vehicle would use this information to determine whether or not it can make that turn. This technology, Chris told me, relies on high-capacity and high-availability communications networks such as 5G.
Starlink & T-Mobile’s partnership could help with the challenges of implementing V2V and V2X
“One of the challenges with implementing technologies like V2V or V2X on top of 5G is that 5G deployments tend to be pretty good and getting better in large urban areas.”
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5G is pretty spotty in Baton Rouge and personally, 4G LTE works faster than 5G does for me although there’s a tower across the street from me. Chris, who is in Las Vegas, said that the coverage is pretty good for his friend with AT&T. He doesn’t have AT&T and his coverage is pretty spotty like mine is.
“But this agreement with Starlink and T-Mobile has the promise or the potential to either eliminate or significantly reduce the spottiness in the 5G coverage and that will enable technologies that are designed on top of 5G such as V2V and V2X to work either more reliably in urban areas where 5G is already available but is a little bit spotty,” he said.
“It would also enable these technologies to work in other areas where there is no 5G. We think this is a really significant announcement in terms of the promise of autonomous transportation and bringing it much closer to being a reality.”
How V2V and V2X could improve Tesla’s Autopilot
Chris told me he’s been using Tesla’s Autopilot for around five years.
“It’s so good. It’s to the point that for the things it can see, it’s a way better driver than I am,” he said adding that when he drives for over a couple of minutes, he engages Autopilot. However, there are a couple of things that it lacks.
“It can’t see that far ahead and it lacks context. Sometimes, if there’s a car making a turn in front of my car, the Autopilot won’t understand the context that maybe this other car is momentarily in front of mine. And if I was driving, I’d keep driving. I wouldn’t take my foot off the accelerator or slam on the brakes unless I could see that something was going wrong with the turn that the other car was making.”
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One way to improve Autopilot is through V2V or V2X, Chris explained.
“In V2V, my car would talk to the car that’s making the turn in front of me and they would orchestrate the speed and direction of both of the cars so that the car in front of me could make its turn and my car could continue driving without slamming on the brakes.”
“With V2X, that would enable my car to talk to the cameras, traffic lights, and intersections to gain situational awareness about either other cars that aren’t equipped with the same technology or about other objects such as bicycles, pedestrians, or other obstacles on the street.”
Note: Johnna is a Tesla shareholder and supports its mission.
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Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.
Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.
However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.
With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.
Turning Hesitancy, Inaccuracy
I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.
I think Tesla FSD v14.3.6 is a regression from previous .3 branches
This version in particular has been incredibly hesitant, jerky, and indecisive at times. There’s actually been two drives that I have decided to not used FSD for the remainder of the trip. These were local trips… pic.twitter.com/YobHDOKRS6
— TESLARATI (@Teslarati) July 26, 2026
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Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.
I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.
FSD Disregards Manual Turn Signals
This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.
If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.
FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.
This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.
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This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.
Bird Braking is a Thing of the Past
The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.
There have been zero issues with this so far in v14.3.6, which is an excellent improvement.
FSD Might Already Be Taking Note of Driver Preferences
Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.
This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.
Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.
I don’t want to get anyone excited but my Tesla running FSD v14.3.6 just:
✅ Pulled into an entrance at my local Sheetz that I routinely pull into manually but FSD never has entered
-✅ Pulled into my assigned parking space at home despite many other spots being vacant https://t.co/ZUShvknTWO pic.twitter.com/83O5a2S0eh
— TESLARATI (@Teslarati) July 24, 2026
Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.
It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.
Elon Musk’s massive Terafab project, which will be the first true conglomeration between each of his major entities, is set to get its final location soon, the CEO said on Tesla’s recent earnings call.
“The Terafab, we expect to announce a location soon, and provide more details about our plans in that regard. We’ll leave that to the product, the launch announcement rather than try to squeeze it into an earnings call,” Musk said last Wednesday.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Terafab was announced by Musk back in March and was essentially a massive, vertically integrated semiconductor manufacturing project that would provide all the chips the three companies needed for their AI initiatives without needing third-party companies.
The plant will produce over 1 terawatt of AI compute each year, and will help back up projects like Optimus, Full Self-Driving, and other AI-based projects that Musk’s companies are working on.
In April, less than a month after the project was launched, Intel announced it would join the project, contributing manufacturing expertise and consulting to Terafab as a whole. Intel is one of three chip manufacturers that produce sub-5 nanometer chips at scale. TSMC and Samsung are the other two.
However, there was no true indication of where Terafab would end up, but most believe it will likely be somewhere in Texas. Business Insider has reported that SpaceX plans to build out Terafab in Grimes County, Texas, but this is unconfirmed.
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Musk confirmed recently that it would not be on Giga Texas property, as it is simply too large.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Terafab holds much of Musk’s grand ambitions for the future within its construct. It holds so much responsibility for the future and the biggest projects that Musk’s companies can imagine.
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“I think this is a very big announcement and it deserves to have its own day in the spotlight and not be squeezed into an earnings call,” he said. “I do think Terafab is going to be an amazing initiative and a necessary one, and one without which we will be constrained in our ability to scale Optimus production, because we simply won’t have enough AI chips.”
He continued by stating that Terafab is necessary for scaling Optimus, which Musk said could be the biggest product of any kind of all time. “It’s crucial to solve that, and we’ll have to solve memory, logic, and packaging in order to scale Optimus.”
SpaceX performed a secret test on a specific portion of Starship with its recent 13th test flight last week, CEO Elon Musk revealed.
Starship’s 13th test flight took place last Friday, and in many aspects, it was one of the most overwhelmingly successful launches in the project’s history.
All of the mission objectives were met without incident, both the Super Heavy Booster and Ship managed to perform safe splashdowns in the Gulf of America and the Indian Ocean, respectively, and the deployment of Starlink satellites came and went without any complications.
— Elon Musk (@elonmusk) July 25, 2026
However, there was more on the agenda for SpaceX with Flight 13. Musk revealed an internal test of the ship’s heat shield tiles, as the space exploration company wanted to push them to the limits after previous issues.
Many noticed that Starship’s initial launch seemed to be more accelerated than normal, and that was not a mistake. Musk revealed that SpaceX decided to give Flight 13 an intentionally aggressive acceleration rate in an effort to test how well the tiles would remain attached to the ship:
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This flight intentionally had much higher acceleration to test how well the heat shield tiles would remain attached at high dynamic pressure.
Test was successful.
— Elon Musk (@elonmusk) July 25, 2026
SpaceX had issues with some of the heat shield tiles remaining attached early on in the Starship program. The first six test flights presented some kind of anomaly with them, so the company’s big focus with them was to figure out a way to keep them intact through the duration of the flight.
Things truly improved as Flight 10 showed that ceramic tiles generally stayed attached to the ship far better due to refined attachment, as SpaceX utilized pins instead of adhesives. Flights 10 through 13 truly showed some clear progress with the heat shield tiles, and this latest test seems to be where some real progress was noticed, especially by Musk.
The 13th Starship launch last Friday was the second with Starship V3, SpaceX’s latest and greatest iteration of the spacecraft. Goals and ambitions are getting even grander as the project continues to progress. Musk has already hinted that SpaceX will likely try to catch Starship with Flight 14.
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Tesla Full Self-Driving v14.3.6 review: a rare regression, but some bright spots
Musk’s massive Terafab project will get final location soon
