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Tesla Top 5 Week in Review: TSLA surge, 0-60 mph 2.05 sec, neural nets, and more
Tesla has been in the news a lot this week, as usual, but the biggest headlines surrounded its unexpectedly strong stock market performance. Another event that made the Tesla crowd happy was the release of a new over-the-air software update which removed a power limiting safety feature. In a related story, a team of creative folks reverse engineered the maximum theoretical acceleration of a car; if you didn’t read this story, you’ll be amazed what they found out. Tesla CEO Elon Musk was a featured speaker in the UAE at the World Summit, which coincided with Tesla’s entrance into that market. And Musk also offered some fascinating insights about artificial intelligence and what the future might look like if humans don’t stay current with AI’s potential. Here are those stories.
Tesla (TSLA) shares surge across 52-week high as Model 3 production takes stage
Over a six month period, Tesla shares rose by nearly 25% and traded this week above $280. This is within grasp of the company’s all-time high, with a market cap that has grown by $10 billion. Investors have begun to give more weight to Tesla’s highly anticipated Model 3, which is slated to begin production on February 20. Development and planned timeline launch for the Model 3 look good and are critical to Tesla’s continued success moving forward. If all goes as hoped, the vehicle will help take the company from producing about 100,000 cars annually today to 500,000 annually in 2018.
Tesla removes performance restrictions in latest software update
Tesla’s policy on limiting the power output of its performance vehicles due to frequency patterns of launch mode engagement and maximum power levels has ended. This week, the car manufacturer pushed a software update to its customers that removes power limiting on Performance variants of its Model S and Model X. Tesla continued to remind its customers that prudent habits can prevent premature wear of components due to high stress launches. Tesla confirmed that they will now “monitor the condition of the powertrain and display an alert if service is needed so we can take proactive steps, such as by replacing parts if necessary, to maintain the vehicle’s performance.”
Math says, Tesla’s “Maximum Plaid” mode could achieve 0-60 mph in 2.05 seconds
In this article scoop, Teslarati related how a group of really creative folks at Engineering Explained decided to reverse engineer the maximum theoretical acceleration that a Tesla Model S could achieve. The team worked somewhat counter-intuitively. They began by calculating the maximum deceleration first. Then they moved back up to acceleration, focusing on a stock Model S with stock tires. The result? Tesla’s next generation Roadster with “Maximum Plaid” mode may have the ability to accelerate from 0-60 mph in 2.05 seconds.
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Elon Musk presents at the Tesla Launch Event in the UAE (Video)
Tesla CEO Elon Musk was a celebrity speaker at this week’s World Government Summit in Dubai. In his remarks, Musk noted, “We expect to invest tens of millions of dollars in the UAE for charging, service and support infrastructures. By next year, you’ll be able to travel anywhere in the GCC with an electric vehicle.” As he spoke about sustainability, Musk acknowledged that EV availability wouldn’t necessarily translate into immediate sales, as the region still considers fossil fuel-powered cars to be the preferred method of transportation. Following Musk’s visit, the UAE announced that it had ordered 200 Model S and Model X vehicles for use as a limousine service.
Elon Musk says human brains need to merge with AI to stay competitive with machines
As artificial intelligence technology improves, as some point humans will become irrelevant. That’s why we must learn to merge with machines, according to Tesla CEO Elon Musk, who explained some of his beliefs about the dangers of artificial intelligence this week. “I think we need to be very careful in how we adopt artificial intelligence and that we make sure that researchers don’t get carried away,” he stated. “Sometimes what will happen is a scientist will get so engrossed in their work that they don’t really realize the ramifications of what they’re doing.” Musk described how humans can mitigate those dangers through a type of merger of biological and machine intelligence, which he said would solve the problem of humans losing control over artificial intelligence.
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.
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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.
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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.
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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
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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.
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“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.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
