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GM's Cruise follows Tesla's lead in developing its own chip for autonomous driving GM's Cruise follows Tesla's lead in developing its own chip for autonomous driving

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GM’s Cruise follows Tesla’s lead in developing its own chip for autonomous driving

Courtesy of Cruise/Handout via REUTERS

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General Motors (GM’s) Cruise has developed its own computer chips for self-driving cars with plans to deploy them by 2025, Reuters reported, noting that the company wasn’t too happy with the cost of chips.

Cruise’s VP of Hardware Engineering Carl Jenkens told Reuters that a mere two years ago, the company was paying a lot of money for a GPU “from a famous vendor.”

“There is no negotiation because we’re tiny volume. We couldn’t negotiate at all. So that’s why I said, okay, then we have to take control of our own destiny,” he said while touring the Cruise Research and Development workshop.  According to the executive, the in-house development of the chips required investments that would be recouped by scaling up the production of cars that use multiple chips.

Currently, GM’s Cruise has developed four in-house chips. A computing chip called Horta, a data processing chip called Dune, a radar chip, and one that will be announced at a later date. The decision to develop in-house chips is something that Tesla was the first to do.

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Tesla’s development of its own chips is what enabled the company to do so well during the semiconductor chip shortage while many of its competitors struggled. During Tesla’s Q2 2022 earnings call, Tesla CEO Elon Musk spoke of this advantage it has over the other automakers.

“Even now where the supply chain issues with our Tier 1s and Tier 2s, get into it with us on the engineering side when we find solutions, whether it’s alternative chips or changing the entire structure of this pack to make it work,” he said.

He added that Tesla is as much as a software company as it is a hardware company.

“And so one of the ways that we’ve been able to address supply chain issues on the chip front is by rewriting of software to be able to use different chips or, in some cases, achieve dual use of a single chip, which is even better.”

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“And actually, quite frankly, the chip shortage has served as a forcing function for us to reduce the number of chips in the car. Yes, it turns out we had more chips than we needed. But that’s a testament to our software team that we’re able to roll a new chip into the car, write a whole new patch of software for that chip, and without interrupting production.”

Tesla is also expected to share more news about its Dojo supercomputer used to train the neural networks used in its self-driving technology on AI Day at the end of this month.

Note: Johnna is a Tesla shareholder and supports its mission. 

Your feedback is important. If you have any comments, or concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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Tesla FSD mocks BMW human driver: Saves pedestrian from near miss

Tesla FSD anticipated a BMW driver’s lane drift before the human behind the wheel could react.

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A video posted to r/TeslaFSD this week put a sharp spotlight on Tesla’s Full Self-Driving (FSD) software being able to react to pedestrian intent than an actual human driver behind the wheel. In the Reddit clip, a BMW driver can be seen rolling through a neighborhood street completely unaware of a pedestrian stepping in to cross. At the same time, a Tesla  driving on FSD had already begun slowing down before the pedestrian even began their attempt to cross the street The BMW kept moving, prompting the pedestrian to hop back, while the Tesla came to a stop and provide right-of-way for the human to safely cross.

That gap between what the BMW driver saw and what FSD had already processed is the story. Tesla FSD wasn’t reacting to a person in the street, rather it was reading the signals that a person was about to enter it based on the pedestrian’s movement, trajectory, and their trajectory to telegraph intent.

Tesla’s FSD is now built on an end-to-end neural network trained on billions of real-world miles, learning to interpret subtle human behavioral cues the same way an experienced human driver does instinctively. The difference is consistency. A human driver distracted for two seconds misses what FSD does not.

Tesla sues California DMV over Autopilot and FSD advertising ruling

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Reddit commenters in the thread were blunt about the BMW driver’s failure, with several pointing out that the pedestrian was visible well before the crossing. One response put it plainly that the car on FSD saw the situation developing before the human in the other car had registered there was a situation at all.

Tesla has published data showing FSD (Supervised) is 54% safer than a human driver, accumulated across billions of miles driven on the system. Elon Musk has said FSD v14 will outperform human drivers by a factor of two to three, and that v15 has “a shot” at a 10x improvement. Pedestrian safety is where the stakes are highest, and where intent prediction closes the gap fastest. At 30 mph, a car covers roughly 44 feet per second. An extra second of awareness from reading a person’s body language rather than waiting for them to step out is often the difference between a near miss and a fatality.

Video and community discussion: r/TeslaFSD on Reddit

FSD saves man from becoming a pancake. BMW driver nearly flattens him.
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Tesla Robotaxi gets a small but significant change

In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.

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Credit: David Moss | X

In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.

Last week in downtown Austin, sharp-eyed observers spotted a subtle but telling evolution on the Cybercab: a new “ROBOTAXI” logo graphic now graces the vehicle’s doors at Tesla’s Autonomy Popup.

What looks at first glance like a minor stylistic choice is, in fact, a deliberate rebranding move that hints at how the company envisions its robotaxi fleet fitting into everyday life.

The updated lettering is bold, graffiti-inspired, and unapologetically street-smart. Rendered in black with dripping white accents and a glowing yellow outline, the font evokes urban energy and playful irreverence.

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Gone is the sleek, minimalist typography that defined earlier Cybercab prototypes. In its place is something more human, almost rebellious.

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The new logo pops against the Cybercab’s smooth, metallic body, turning the autonomous pod into a rolling piece of public art rather than just another futuristic taxi.

Designers know that fonts are silent brand ambassadors. They shape perception before a single ride is taken. Tesla’s classic sans-serif aesthetic screams precision engineering and Silicon Valley cool.

The new Robotaxi script leans into accessibility and fun, suggesting the vehicle is approachable, not intimidating. For a product meant to ferry strangers through city streets 24/7, that matters. It signals that the robotaxi isn’t reserved for tech elites; it’s for everyone.

Tesla Cybercab spotted next to Model Y shows size comparison

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The timing is no accident. With regulatory approvals for unsupervised autonomy advancing and Tesla preparing to scale Cybercab production, the company is shifting from prototype showcase to fleet deployment.

A fresh logo helps differentiate the vehicles visually in dense urban environments—crucial for rider recognition and brand recall. It also aligns with Elon Musk’s long-standing ethos: make the future feel exciting, not sterile.

Small changes like this often foreshadow a larger strategy. Tesla has always obsessed over details—door handles, screen interfaces, even the curvature of a steering wheel.

Updating the Robotaxi font reflects the same meticulous care now applied to consumer-facing autonomy. It’s not just paint on metal; it’s a statement that the ride of the future should feel personal, memorable, and undeniably cool.

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In an industry racing toward self-driving fleets, Tesla’s willingness to evolve even the smallest visual cues shows confidence. A font won’t launch the robotaxi network, but it might just help millions climb aboard with a smile.

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Tesla makes latest announcement on Model S and Model X

The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.

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Credit: Tesla

Tesla has officially begun winding down production of its flagship Model S and Model X in the United States, notifying owners via email that the long-running models will soon reach the end of the line.

The email, sent to U.S. customers on March 27, opens with gratitude. “Model S and Model X marked the beginning of the world’s transition to electric transportation,” it reads. “These vehicles also made it possible for Tesla to develop the technology that would move our world toward autonomy.”

Tesla officially begins sunset of Model S and Model X

It then delivers the news directly: “As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to bring home a new Model S or Model X, order yours soon from our limited inventory.”

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The message closes with a simple thank-you: “Thank you for being part of our journey.”

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The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.

The move frees factory floor space at Fremont, California, for next-generation manufacturing, including Optimus humanoid robots and the upcoming Robotaxi platform.

Introduced in 2012 and 2015, respectively, the Model S and Model X were Tesla’s original halo cars. They proved EVs could outperform gasoline luxury vehicles in acceleration, range, and tech features while pioneering over-the-air updates and early autonomy hardware.

Although they never matched the volume of the Model 3 and Model Y, their engineering breakthroughs laid the foundation for the company’s current lineup and full self-driving development.

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Early adopters highlighted how the cars convinced them to invest in Tesla stock and the EV movement. Some U.S. owners who had not yet received the note voiced mild frustration, and international customers confirmed the outreach remains U.S.-only for now.

Tesla has not detailed an exact final production date beyond the Q2 2026 target or confirmed immediate replacements. Speculation continues about a possible Cybertruck-derived SUV, but the company’s public focus has shifted squarely to autonomy and robotics.

For buyers still interested in the S or X, the window is closing. Inventory is described as limited, and Tesla’s Korean division has already set a March 31 cutoff for new orders in that market. The email serves as both a farewell and final sales push, an elegant close to a chapter that helped define modern electric driving.

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