Connect with us
How Starlink & T-Mobile's partnership will impact 5G for the better for AI cameras How Starlink & T-Mobile's partnership will impact 5G for the better for AI cameras

News

How Starlink & T-Mobile’s partnership will impact 5G for the better for AI cameras

Credit: Smarter AI

Published

on

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. 

Advertisement

“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.”

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).

Advertisement

“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. 

Advertisement

 

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.” 

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.

Advertisement

“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. 

Advertisement

“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.”

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.”

Advertisement

Note: Johnna is a Tesla shareholder and supports its mission. 

Your feedback is important. If you have any comments, or concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.

Teslarati is now on TikTok. Follow us for interactive news & more.

 

Advertisement

 

 

 

 

Advertisement

 

Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

Advertisement
Comments

News

Tesla VP explains latest updates in trade secret theft case

Tesla reportedly caught Matthews copying the tech into machines that were sold to competitors, claiming they lied about doing so for three years, and continued to ship it. That is when Tesla chose to sue Matthews in July 2024 in Federal court, demanding over $1 billion in damages due to trade secret theft.

Published

on

tesla 4680
Credit: Tesla Inc.

Tesla Vice President Bonne Eggleston explained the latest updates in a trade secret theft case the company has against a former manufacturing equipment supplier, Matthews International.

Back in 2024, Tesla had filed a lawsuit against Matthews International, alleging that the firm stole trade secrets about battery manufacturing and shared those details with some of Tesla’s competitors.

Early last year, a U.S. District Court Judge denied Tesla’s request to block Matthews International from selling its dry battery electrode (DBE) technology across the world. The judge, Edward Davila, said that the patent for the tech was due to Matthews’ “extensive research and development.”

Tesla is suing a former supplier for trade secret theft

Advertisement

The two companies’ relationship began back in 2019, as Tesla hired Matthews to help build the equipment for its 4680 battery cell. Tesla shared confidential software, designs, and know-how under strict secrecy rules.

Fast forward a few years, and Tesla reportedly caught Matthews copying the tech into machines that were sold to competitors, claiming they lied about doing so for three years, and continued to ship it. That is when Tesla chose to sue Matthews in July 2024 in Federal court, demanding over $1 billion in damages due to trade secret theft.

Now, the latest twist, as this month, a Judge issued a permanent injunction—a court order banning Matthews from using certain stolen Tesla parts or designs in their machines. Matthews is also officially “liable” for damages. The exact amount would still to be calculated later.

Bonne Eggleston, a VP for Tesla, said on X today that Matthews is a supplier who “exploited customer IP through theft or deception,” and has no place in Tesla’s ecosystem:

Advertisement

Tesla calls this a big win and warns other companies: “Buyer beware—don’t buy from thieves.”

Advertisement

Matthews hit back with a press release claiming victory. They say an arbitrator ruled they can keep selling their own DBE equipment to anyone and rejected Tesla’s request for a total sales ban. They call Tesla’s claims “nonsense” and insist their 20-year-old tech is independent. Both sides are spinning the same narrow ruling: Matthews can sell their version, but they’re blocked from using Tesla’s specific secrets.

What are Tesla’s Current Legal Options

The case isn’t over—it’s moving to the damages phase. Tesla can:

  • Push forward in court or arbitration to calculate and collect huge financial penalties (potentially $1 billion+ if willful theft is proven).
  • Enforce the permanent injunction with contempt charges, fines, or even jail time if Matthews violates it.
  • Challenge Matthews’ new patents that allegedly copy Tesla’s work, asking courts to invalidate them or add Tesla as co-inventor.
  • Seek extra damages, lawyer fees, and possibly punitive awards under the federal Defend Trade Secrets Act and California law.

Tesla could also refer evidence to federal prosecutors for possible criminal trade-secret charges (rare but serious). Settlement is always possible, but Tesla’s fiery public response suggests they want full accountability.

This isn’t just corporate drama. It shows why trade secrets matter even when Tesla open-sources some patents, confidential know-how shared in trust must stay protected. For the EV industry, it’s a reminder: steal from your biggest customer, and you risk losing everything.

Advertisement
Continue Reading

News

Tesla Cybercab includes this small but significant feature

The Cybercab is Tesla’s big plan to introduce fully autonomous ride-sharing in a seamless fashion. In fact, the Full Self-Driving suite was geared toward alleviating the need to manually drive vehicles.

Published

on

Credit: Tesla

Tesla Cybercab manufacturing is strikingly close, as the company is still aiming for an April start date. But small and significant features are still being identified for the first time as production units appear all over the country for testing and for regulatory events, like one yesterday in Washington, D.C.

The Cybercab is Tesla’s big plan to introduce fully autonomous ride-sharing in a seamless fashion. In fact, the Full Self-Driving suite was geared toward alleviating the need to manually drive vehicles.

This was for everyone, including the disabled, who are widely reliant on ride-sharing platforms, family members, and medical shuttles for transportation of any kind. Cybercab aims to change that, and Tesla evidently put a focus on those riders while developing the vehicle, evident in a small but significant feature revealed during its appearance in the Nation’s Capital.

Tesla Cybercab display highlights interior wizardry in the small two-seater

Advertisement

Tesla has implemented Braille within the Cybercab to make it easier for blind passengers to utilize the vehicle. On both the ‘Stop/Hazard Lights’ button and the Door Releases, Tesla has placed Braille so that blind passengers can navigate their way through the vehicle:

This is a great addition to the Cybercab, especially as Full Self-Driving has been partially pointed at as a solution for those with disabilities that would keep them from driving themselves from place to place.

It truly is a great addition and just another way that Tesla is showing they are making this massive product inclusive for everyone out there, including those who have not been able to drive due to not having vision.

The Cybercab is set to enter mass production sometime in April, and it will be responsible for launching Tesla’s massive plans for an autonomous ride-sharing program.

Advertisement
Continue Reading

Elon Musk

Tesla and xAI team up on massive new project

It is the latest move by a Musk company to automate, streamline, and reduce the manual, monotonous, and tedious work currently performed by humans through AI and robotics development. Digital Optimus will be capable of processing and actioning the past five seconds of a real-time computer screen video and keyboard and mouse actions.

Published

on

Credit: Grok

Elon Musk teased a massive new project, to be developed jointly by Tesla and xAI, called “Digital Optimus” or “Macrohard,” the first development under Tesla’s investment agreement with xAI.

Musk announced on X that Digital Optimus will “be capable of emulating the function of entire companies.”

It is the latest move by a Musk company to automate, streamline, and reduce the manual, monotonous, and tedious work currently performed by humans through AI and robotics development. Digital Optimus will be capable of processing and actioning the past five seconds of a real-time computer screen video and keyboard and mouse actions.

Essentially, it will be an AI version of a desk worker in many capacities, including accounting, HR tasks, and others.

Musk said:

Advertisement

“Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software. You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind).”

Its key applications would be used for enterprise automation, simulating entire companies, high-volume repetitive tasks, and potentially, future hybrid use with the Optimus robot, which would handle physical tasks, while Digital Optimus would handle the clerical work.

Tesla announces massive investment into xAI

The creation of a digital AI suite like Digital Optimus would help companies save time and money, as well as become more efficient in their operations through massive scalability. However, there will undoubtedly be concerns from people who are skeptical of a fully-integrated AI workhorse like this one.

Advertisement

From an energy consumption perspective and just a general concern for the human workforce, these types of AI projects are polarizing in nature.

However, Digital Optimus would be a great digital counterpart to Tesla’s physical Optimus robot, as it would be a hyper-efficient addition to any company that is looking for more production for less cost.

Musk maintains that there is no other company on Earth that will be able to do this.

Advertisement
Continue Reading