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Tesla’s race to full self-driving under pressure as GM Cruise gets $2.25B investment

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In a press release on Thursday, General Motors announced that SoftBank would be investing $2.25 billion in the automaker’s self-driving unit, GM Cruise Holdings LLC. The Detroit-based auto giant would also be investing an additional $1.1 billion into its self-driving division. These investments are aimed at boosting the unit’s capability to reach commercialization at scale by next year.

GM Chairman and CEO Mary Barra lauded the additional investments into the company’s self-driving unit. Barra noted in the press release that the support from SoftBank adds an “additional strong partner” as the automaker pursues its “vision of zero crashes, zero emissions, and zero congestion.”

GM Cruise currently operates a fleet of autonomous Chevy Bolt EVs in San Francisco that provide autonomous ride-hailing services to its employees. Plans are also underway to develop a Chevy Bolt EV variant that is specifically designed to be fully autonomous, with the vehicle not having pedals or a steering wheel.

SoftBank’s $2.25 billion investment into GM Cruise will be made in two tranches. SoftBank Vision Fund will first invest $900 million at the closing of the transaction. Once GM Cruise’s autonomous vehicles are ready to hit the market, Vision Fund will release the second tranche of $1.35 billion. This will ultimately result in SoftBank Vision Fund commanding a 19.6% stake in GM Cruise.

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The new investment brings GM Cruise’s valuation close to $11.5 billion. The investment also brings to light the arguable undervaluation of Tesla’s Autopilot system, which has been on the consumer market for several years and has more than 150,000 vehicles from around the world that’s collecting data.

Still, GM Cruise’s new financial backing puts tremendous pressure on Tesla, which has seen its fair share of scrutiny as it steadily improves its Autopilot software in the public eye. Despite having collected reservation deposits for its Full Self-Driving capability that is yet to be released, Autopilot continues to improve and pacing toward full autonomy, according to CEO Elon Musk.

During the Q4 2017 earnings call, Musk addressed the delays in the company’s planned coast-to-coast autonomous drive. The exhibition, which was set for December 2017, did not pan out, although Tesla could have accomplished the coast-to-coast trip, according to Musk. However, doing so would have required far too much “specialized code” that would only be fully effective on a particular route. During the earnings call, Musk stated that Tesla would likely conduct the autonomous coast-to-coast drive sometime this year. 

A Tesla Model 3 on Autopilot. [Credit: LivingTesla/YouTube]

One notable difference between Tesla and GM Cruise, and Google’s Waymo is the Tesla’s opposition to the utilization of LiDAR technology – a common fixture on self-driving cars. Instead of LiDAR, Tesla’s electric cars rely on a series of cameras, radar, and ultrasonic sensors to collect data on a vehicle’s surroundings. LiDAR, which is used in GM Cruise’s Chevy Bolt EVs and Waymo’s autonomous vehicles, boasts high spatial precision. Inasmuch as LiDAR can measure distances well, however, it performs poorly in bad weather.

Ultimately, Tesla’s ace-in-the-hole in the increasingly competitive self-driving car market could be its neural net and sharing of fleet data. There are roughly 150,000 AP2.0 vehicles on the road today, with each one providing valuable data to Tesla’s deep neural networks. Akin to the human brain, the more data that is available to train the neural network, the better its performance would be. 

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Ultimately, Tesla’s neural net could be the difference-maker when the company goes all-in and competes in the self-driving race. Until then, however, the electric car maker could soon be taking a backseat to companies like GM Cruise and Waymo, both of which are accelerating their efforts at rolling out consumer-ready autonomous vehicles in the near future.

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.

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What is Digital Optimus? The new Tesla and xAI project explained

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Credit: Grok

Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.

This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.

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xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.

When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.

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Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.

Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.

It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.

Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.

By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.

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As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.

In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.

It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.

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Tesla adds awesome new driving feature to Model Y

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

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Credit: Tesla

Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

Tesla writes in the release notes for the feature:

“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”

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Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.

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There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.

This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.

Tesla set to activate long-awaited Cybertruck feature

Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.

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Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.

We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.

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Tesla finally brings a Robotaxi update that Android users will love

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android.

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Credit: Grok

Tesla is finally bringing an update of its Robotaxi platform that Android users will love — mostly because it seems like they will finally be able to use the ride-hailing platform that the company has had active since last June.

Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.

According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:

“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”

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This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.

The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.

Tesla is working to increase Android capabilities in its vehicles

Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”

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Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.

Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.

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