Tesla Full Self-Driving (FSD) Beta applicants who own older car models are still patiently waiting for access to the FSD Beta program. Some applicants have shared their frustrations at camera upgrade issues which prevent them from becoming an FSD Beta user.
Camera Upgrade Issues
Tesla owners with older car models have reported their frustrations regarding camera upgrade requirements. Most of the owners are waiting to enter Tesla’s FSD Beta program.
The common issue is that owners receive camera upgrade notifications even after Tesla Service installed new cameras. It has caused great confusion among a number of Tesla community members waiting to become FSD Beta testers.
In correspondence with Teslarati, FSD Beta applicant Houman H. noted that his 2017 Model S with FSD had yet to receive access to Tesla’s Beta program. The Model S owner had upgraded his vehicle to Hardware 3. He also proactively contacted Tesla Service to get the necessary camera upgrade for his car.
Even after the upgrades, Houman H. did not receive FSD Beta access. Instead, he received another notice of his ineligibility for the program, stating that his Model S still needed camera upgrades. Confused, Houman H. contacted Tesla Service, thinking there must have been a mistake in their records as he had already upgraded his cameras.



Who is affected by the Camera Upgrade Issues?
A few Tesla owners who own older models talked to Teslarati about their challenges while patiently waiting for access to the FSD Beta program. Most—if not all—of the owners Teslarati spoke to have a Safety Score between 80 to 90 and purchased FSD at least a year ago.
Most owners with camera upgrade issues own vehicles from 2017 or older. A few other owners have posted about camera upgrade issues online.
“I have been patiently waiting since November 2021 for the FSD beta for my 2017 MS P100D when my cameras were upgraded and the MCU2 was installed. The vehicle was delivered with MCU1 and AP2.0. Safety score has always been 95 or above,” shared Powderkeg in the Tesla Motor Club (TMC) Forum.
“Recently the Tesla app version 4.14.2 allows the user to view if their vehicle is eligible for the FSD Beta. Much to my chagrin my vehicle shows that it is not eligible due to the cameras needing to be replaced. I know they were replaced at the time of the MCU2 upgrade because they are listed under the parts section,” the TMC member elaborated.
Tesla’s Response to the Camera Upgrade Issue
The TMC member and Houman H. worked with their local Tesla Service Center to solve their issues. They received different reasons for their camera upgrade issues.
In Houman H’s case, one of his upgraded cameras needed to be replaced. Tesla reportedly mentioned that some upgraded cameras in select cars needed to be replaced due to an unspecified issue.
“So apparently they didn’t have to replace all of them, they said that there was a problem with one of their replacement cameras that wasn’t working for many people, I think it was the front right side camera so for many of them they had to be replaced Even if they had already been upgraded. Therefore, doesn’t sound like it’s a true situation where all of them have to be replaced, but there are select cameras on select cars that have to be upgraded again due to some type of problem,” Houman H. told Teslarati.
Powderkeg also received information from his local Tesla Service Center. In his case, Tesla stated that all cameras need to be upgraded to run the final production FSD software.

Another Teslarati reader, Frank H., noted that he couldn’t upgrade his cameras, even after several requests to his Tesla Service Center. Frank H. paid for FSD, but has not been able to participate in Tesla’s beta program because of old cameras.
“I paid for FSD years ago but have been unable to participate in the beta program due to old cameras. Now FSD is in wide release and Tesla still has not upgraded my cameras after several requests. I am told: ‘We are currently experiencing a parts shortage on all parts necessary to perform FSD camera upgrade,’” Frank H. shared with Teslarati.
Are you having trouble getting into the FSD Beta program, too? I’d like to hear from you. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Elon Musk
SpaceX wants to catch Starship for launch 14, Elon Musk says
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
News
Tesla to open source Model S and Model X designs and software
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
News
Tesla flexes incredible Robotaxi metric that skeptics will hate
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.