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Tesla Top 5 Week in Review: TSLA surge, 0-60 mph 2.05 sec, neural nets, and more

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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.

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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.”

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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.

Read the article here.

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.

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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.

Read the article here.

 

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Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Tesla Full Self-Driving shows stunning maneuver in Europe to silence skeptics

In a striking demonstration of autonomous driving prowess, Tesla’s Full Self-Driving (FSD) system recently showcased its capabilities on the narrow rural roads of the Netherlands. Captured in two in-car videos, the system encountered scenarios that would challenge even the most experienced human drivers.

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Credit: Tesla

Tesla Full Self-Driving, fresh on the heels of its approval for operation on European roads for the first time, showed off a stunning maneuver that will certainly silence any skeptics on the continent.

Fresh off its approval in the Netherlands, Full Self-Driving is working toward a significant expansion into more parts of Europe.

In a striking demonstration of autonomous driving prowess, Tesla’s Full Self-Driving (FSD) system recently showcased its capabilities on the narrow rural roads of the Netherlands. Captured in two in-car videos, the system encountered scenarios that would challenge even the most experienced human drivers.

In the first clip, a wide tractor occupied more than half the lane on a tight two-way road. Rather than braking abruptly or forcing a collision risk, FSD smoothly edged the vehicle onto the adjacent bike path—using the extra space with precision—before seamlessly returning to the lane once clear.

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The second clip was equally demanding: while overtaking a group of cyclists, an oncoming car approached at speed.

FSD maintained a safe, minimal buffer to the cyclists while timing the pass perfectly, avoiding any swerve or hesitation that could unsettle passengers or other road users.

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This maneuver highlights FSD’s advanced spatial reasoning and predictive planning. On roads often under three meters wide, with no room for error, the system calculated available clearance in real time, incorporated shoulder and path geometry, and executed a controlled deviation without compromising safety.

It treated the bike path as a legitimate extension of navigable space, something many drivers might hesitate to do, while respecting Dutch road norms and cyclist priority.

Such feats align closely with a growing library of impressive FSD maneuvers documented on camera worldwide.

In urban Amsterdam, for instance, FSD has navigated the world’s densest cyclist environments, weaving through hundreds of unpredictable bike movements on canal-side streets with tram tracks and pedestrians.

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One uncut drive showed it yielding smoothly at crossings, overtaking where needed, and even handling a near-perfect auto-park in a tight residential spot, demonstrating the same low-speed precision seen in the rural clips.

Teslas using FSD have tackled turbo roundabouts in the Netherlands, complex multi-lane circles notorious for geometry challenges, merging confidently while yielding to traffic. Similar clips depict smooth handling of construction zones, emergency vehicle pull-overs, and gated parking barriers, where the car stops precisely, waits for clearance, and proceeds without driver input.

Collectively, these examples illustrate FSD’s evolution toward handling the unpredictable.

The rural Netherlands maneuvers aren’t isolated. Instead, they reflect a pattern of spatial awareness, cyclist deference, and traffic anticipation seen from city streets to highways.

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As FSD continues refining through real-world data, videos like this one are certainly building a compelling case for its readiness on Europe’s varied roads.

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Tesla utilizes its ‘Rave Cave’ for new awesome safety feature

Part of the massive interior overhaul of both the Model 3 “Highland” and Model Y “Juniper” was the addition of interior accent lighting to help bring out the mood of the vehicle, increase the customization of the interior, and to create a unique listening experience.

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Credit: Tesla | X

Tesla is utilizing its ‘Rave Cave’ for an awesome new safety feature that will arrive with the upcoming Spring Update for 2026.

Part of the massive interior overhaul of both the Model 3 “Highland” and Model Y “Juniper” was the addition of interior accent lighting to help bring out the mood of the vehicle, increase the customization of the interior, and to create a unique listening experience.

Tesla added a Sync Lights feature that will strobe the accent strips with the beat of the music.

It is one of the most unique and one of the coolest non-functional features of a Tesla, as it does not improve the driving of the vehicle, but makes it a cool and personal addition to the interior.

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However, Tesla is going to take it one step further, as the Rave Cave lights will now be used for blind spot recognition. This feature will be added as the Spring 2026 Update starts to roll out.

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Tesla writes:

“Accent lights now turn red when an object is in your blind spot and your turn signal is engaged, or when an approaching object is detected while parked.”

This neat new safety feature will now increase the likelihood of a driver, who is operating their Tesla manually, of seeing the blind spot warnings that are currently available on the A pillar and on the center touchscreen.

These new alerts will now warn drivers of cross traffic as they back out of a parking space with little to no visibility of what is coming. It is a great new addition that will only increase the safety of the vehicles, while also utilizing something that is already installed in these specific Model 3 and Model Y units.

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The Model 3 and Model Y were the central focus of the Spring 2026 Update, especially considering the fact that the Model S and Model X are basically gone, with only a few hundred units left. Additionally, Tesla included new Immersive Sound and Car Visualization for the Model 3 and Model Y specifically in this new update.

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Tesla parked 50+ Cybercabs outside its Texas Factory with some crash tested

Dozens of Tesla Cybercabs have been spotted at Giga Texas crash testing facility ahead of launch.

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Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)
Tesla Cybercab fleet spotted at Gigafactory Texas on April 13, 2026 [Credit: Joe Tegtmeyer)

Drone footage captured by longtime Giga Texas observer Joe Tegtmeyer shows over 50 units of Tesla Cybercab at the Austin factory campus, including several units clustered by Tesla’s on-site crash testing facility.

The outbound lot at Gigafactory Texas sits just outside the factory exit and serves as the primary staging area where finished vehicles are held before being loaded onto transport carriers or dispatched for validation testing. On any given day, the lot holds a mix of Model Y and Cybertruck units alongside the growing Tesla Cybercab fleet, as can be seen in the drone footage captured by Joe Tegtmeyer.

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla Cybercab fleet spotted at Gigafactory Texas on April 13, 2026 [Credit: Joe Tegtmeyer)

Roughly 50 Cybercab units are visible across the campus, parked in tight organized rows. Most of the units visible still carry steering wheels and pedals, temporary additions Tesla included to satisfy current safety regulations while the vehicles accumulate real-world data ahead of full regulatory approval for a steering wheel-free design.

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla operates dedicated Crash Labs at both its Giga Texas and Fremont facilities that are purpose-built for controlled structural crash tests. Historically, automakers begin intensive crash testing roughly one to two months before volume production kicks off. The Cybertruck followed almost exactly that pattern. The Cybercab appears to be on the same track facility that we first saw back in October 2025.

Tesla Cybercab crash test units spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla Cybercab crash test units spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

The first production Cybercab rolled off the Giga Texas line on February 17, 2026. Volume production is now targeted for April. Musk previously wrote on X that “the early production rate will be agonizingly slow, but eventually end up being insanely fast,” and separately stated Tesla is targeting at least 2 million Cybercab units per year. Commercial robotaxi service in Austin is targeted for late 2026.

 

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