Connect with us

News

Tesla to allow MCU upgrade for older Model S and X for better gaming experience

Published

on

Elon Musk dropped several updates on Twitter over the weekend, covering several aspects of Tesla’s vehicles. Among these are the release date for firmware Version 10, the unveiling of the Tesla Pickup Truck, some games that are coming to the Tesla Arcade, and even a Media Control Unit (MCU) retrofit that will be made possible for older Model S and Model X vehicles. 

Musk’s comments come amidst interactions on Twitter about the Tesla Arcade’s new titles, which include exciting games such as Cuphead and Fallout Shelter. While responding to a Tesla owner who stated that he would be happy to pay for an MCU and LTE upgrade for his vehicle, Musk responded that it would indeed be possible to retrofit older Model S and X units with company’s newer MCUs. 

Providing MCU upgrade options for older Model S and Model X will further emphasize the idea that Teslas are vehicles that only improve over time. It would, for one, allow even the company’s older vehicles to gain access to some of the newest features found in cars produced today, including the growing library of titles in the Tesla Arcade. 

MCUs in Model S and Model X vehicles produced prior to March 2018 are equipped with 2011-era NVIDIA Tegra-3 chips, which worked well for the vehicles’ basic features but lacked in smoothness and speed compared to the Model 3’s Intel-powered MCU. Tesla introduced a newer, faster MCU for the Model S and Model X in March 2018, partly as a way to ensure that the media units of its vehicle lineup share the same speed and performance. 

While confirming the rollout of the newer hardware, Tesla noted then that the newer media units were part of the company’s consistent drive to steadily improve its vehicles. In a statement to Teslarati, the electric car maker also explained that the new MCUs would not dramatically affect the user experience of its vehicles. 

Tesla was able to buffer the performance discrepancy between its older and newer MCUs by rolling out a software update that optimized the performance of pre-March 2018 media units. Inasmuch as this made the user interface of MCU1 vehicles almost as smooth as the newer, Intel-powered units, later features such as the Tesla Arcade were eventually made exclusive to cars equipped with post-March 2018 MCUs. 

Advertisement
-

It should be noted that Elon Musk has mentioned an MCU retrofit option for older Model S and Model X vehicles in the past. “Yes, you can upgrade hardware, although we also wrote software to accelerate rendering on old MCU. Coming out soon & makes a big diff,” Musk tweeted as a response to a Tesla owner who asked if he could retrofit his vehicle with the newer media unit.  With his recent comments, perhaps an MCU retrofit for older vehicles would indeed be in order.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

Elon Musk

Elon Musk teases TSMC as potential Terafab partner

Published

on

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.

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.

Continue Reading

News

Tesla reveals early Robotaxi charging strategy, showing scrappy DNA

Published

on

Credit: Tesla

Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.

An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.

Tesla wins FCC approval for wireless Cybercab charging system

The Tesla employee would walk around and plug each car in, adjusting the parking if needed:

It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.

On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.

However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.

For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.

Continue Reading

News

Tesla Robotaxi expands hours, Musk explains why it’s been a challenge

Published

on

Credit: Tesla

Tesla is expanding its Robotaxi service hours by pushing the time back by one hour, keeping the ride-hailing service operational until 11 p.m., one hour later than previously.

CEO Elon Musk confirmed the change and offered a specific reason the expansion has been gradual: the system still needs to reliably avoid small pets that are difficult to see after dark, as they commonly blend into the color of the road, especially when they’re grey.

The latest adjustment restores only a fraction of the operating window the service once held. When paid Robotaxi rides began in Austin on June 22, 2025, vehicles ran from 6 a.m. to midnight.

Tesla Robotaxi will be a 24/7 service: here’s when

In September 2025, Tesla lengthened the day to a 2 a.m. close, producing a 20-hour window that stayed in place for most of the following year. By early August of this year, the cutoff had already been pulled back; an August 26 update formalized hours of 6 a.m. to 10 p.m. across Austin and several other markets.

The October move to 11 p.m. therefore leaves the Austin day one hour shorter than the original launch schedule and three hours shorter than the 2025 peak.

Musk addressed the constraint directly after the announcement. “The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night,” he wrote. “Literally trying to avoid grey kittens on grey tarmac in the dark.”

The example points to a low-contrast perception problem in which a small animal can blend into the road surface under limited lighting.

Tesla’s vehicles rely on cameras and neural-network processing rather than lidar; Musk has previously argued that advanced vision software can extract useful information even in low light by analyzing photon counts, but the pet-detection case remains the stated limiter in later hours.

The modest schedule change arrives alongside faster growth in the purpose-built Cybercab fleet. Texas registration data tracked by observers showed the Austin Cybercab count rising sharply in recent weeks, reaching 169 vehicles after more than 100 were added in a short span.

Tesla has indicated that a broader shift toward 24-hour operation is tied to the upcoming FSD v15 software release expected this month on Robotaxi vehicles. Until that capability is validated for the edge cases Musk described, the company continues to add service time incrementally rather than jumping straight to overnight coverage.

The one-hour extension gives Austin riders a later option for evening trips while the underlying detection work continues.

Continue Reading