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Tesla will remove performance limiting algorithm from cars in next software update

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Tesla’s President of Global Sales and Service, Jon McNeill, has indicated that performance limiting software will be removed from Model S and Model X vehicles in the next over-the-air software update. McNeill’s announcement, made on the Tesla Motors Club (TMC) forum, follows reports that the company was limiting power on performance versions of its Model S and Model X vehicles through a software algorithm designed to protect the vehicle’s powertrain from excessive wear and tear. However, despite the intended safeguards, Tesla owners questioned whether it was right for the electric car maker to ‘downgrade’ performance on a vehicle that was intentionally purchased for its touted acceleration capabilities.

UPDATE: Tesla removes performance restrictions in new software update

Tesla Performance Limiting Discovered

Teslarati was first notified of the potential issue back in September of last year when local friend and Ludicrous Model S P90D owner, best known as Tech_Guy on TMC, sent us graphs showing the loss in power on his vehicle. At first, the issue was thought to be a result of the Firmware 8.0 update that introduced Tesla’s, then, latest Autopilot feature which put radar technology at the forefront.

Power graph provided via the PowerTools app

Not sure of the cause for the power loss, Tech_Guy solicited feedback from his local Tesla Service Center only to be told that software on his Ludicrous Model S has limited power output because of too many uses of Tesla’s Launch Mode feature. The issue would eventually be surfaced across TMC, with other owners reporting the same loss in power. More alarming is the discovery that Tesla’s power limiting safeguard was taking place on non-Ludicrous cars and affecting owners with Tesla’s P85D vehicle. Even early P85 cars that pre-dated the company’s dual motor configuration were reported to be affected.

Tesla would later add a disclaimer to its online Design Studio confirming that limiting controls may be placed to protect the performance and longevity of the powertrain.

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It’s not just ‘Launch Mode’ and ‘Max Power’

Service descriptions coming from owners who were concerned that their newly purchased inventory car, or in some instances their certified pre-owned Performance variant, might have been affected by the power limiting software, revealed that Tesla did in fact use an algorithm to ‘count’ presumably the number of times a vehicle was driven under wide open throttle.

The discovery of a possible performance ‘counter’ raises a question of ethics. If an owner purchased a used P85D that was performance limited as a result of too many hard acceleration runs in the past, will the owner know and is it right for Tesla to downgrade the vehicle to essentially an 85D status though they paid for a P85D? The same goes for inventory vehicles which one can argue is more likely to be driven under wide open acceleration, for demonstration purposes, than a brand new vehicle belonging to an owner.

Show me the Power

Hailed as a hero among the Tesla owners community, Tech_Guy blew the whistle and surfaced an issue that quite possibly may have never been discovered.

On Tuesday, January 17, 2017 at 4:41 PM Pacific Time, Jon McNeill, Tesla’s President of Global Sales and Service responded to concerns surfaced on TMC with the following:

Based on your input, we have decided to remove all software performance reductions tied to frequent max power usage. These changes will roll out with our next software update (in about three weeks).

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We had put these reductions in place to proactively protect the powertrain from wear and tear. Instead, we will monitor the condition of the powertrain and let our customers know if service is needed so that we can take proactive steps, such as by replacing parts if necessary, to maintain the vehicle’s performance.

Heavy-footed Tesla drivers rejoice. You’re getting your power back.

Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

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.

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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.

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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.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

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.”

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.

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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.

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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

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

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.

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.

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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.

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