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GM’s Mary Barra stands by Cruise’s cautious strategy amid Tesla’s full self-driving push

(Credit: GM Cruise)

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7 years ago

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A recent interview with GM CEO Mary Barra from Axios has provided some of the executive’s insights about full self-driving solutions, competition from Tesla, and the Detroit-based company’s strategy for the deployment of its autonomous driving tech. Barra proved conservative, emphasizing that GM will not deploy its full self-driving suite until it is safer than a human driver.

The emergence of full self-driving technologies is all but inevitable at this point, with companies such as Waymo and electric car makers such as Tesla actively pursuing the development and refinement of autonomous driving solutions. Among the industry’s players, Tesla appears to have the momentum, as the company has the largest amount of real-world driving data gathered from hundreds of thousands of vehicles currently on the road. Augmented by the rollout of Tesla’s custom self-driving computer, Elon Musk has been optimistic with the company’s full self-driving rollout plans. Musk has stated that the company’s FSD suite will be “feature complete” by the end of 2019, and that it will have around a million vehicles capable of being used as autonomous “robotaxis” next year.

When asked by the publication about the competition from Tesla and if it is essential for a company to be the first to deploy an autonomous driving system, the GM CEO response was cautious. “We want to be safe. And so that’s what’s motivating us. We understand this is life-changing technology,” Barra said, later adding that “there are so many different ways that we can improve our customers’ lives by having this technology, not only from a safety, but from a productivity (standpoint), what they can do. But what they do, we want to make sure they do safely.”

Barra’s rather conservative statements in her recent interview feature a rather different tone than her previous forecasts for GM’s full self-driving solutions. Speaking at the Dealbook conference last November, Barra stated that GM was on schedule to deploy its full self-driving technology in 2019. “We’re on track, with our rate of learning, to be able to do that next year,” she said. During her segment, Barra noted that GM had a strategy to show that its vehicles are safer than human drivers. She also mentioned that GM Cruise’s autonomous cars were already capable of running safely at around 30 mph, though the service was limited to a small area.

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GM eventually softened its stance on its 2019 target release. In a statement to The Detroit News in April, GM noted that Cruise’s driverless taxi service would be “gated by safety” when it goes get deployed. A report from The Information published this June also suggested that in April, GM Cruise’s full self-driving technology experienced a massive failure in the presence of Honda Motor CEO Takahiro Hachigo, a major investor in the company. During the demo, the vehicle’s autonomous driving system reportedly stopped, forcing the car’s backup driver to take control. The vehicle then refused to reactivate, forcing the Honda CEO to wait until he was picked up by an operational GM Cruise autonomous car.

Amidst these reports, Barra did not commit to a launch date for the company’s driverless vehicle service. Nevertheless, in her Axios interview, Barra stated that she does not regret the company’s aggressive 2019 target. “It’s a rallying cry. And I think it’s been motivational,” she said.

While GM Cruise might have less real-world miles compared to Tesla and Waymo, the self-driving unit of the Detroit-based carmaker has attracted a notable number of investors nonetheless. In its latest fundraising round alone, GM Cruise was valued at $19 billion on its own. That’s quite impressive, considering the company’s progress with its technology so far. Tesla, on the other hand, is valued at $39 billion as of writing, and that covers the company’s electric vehicle and energy storage business, as well as its full self-driving technology. This was addressed in a previous note from Morgan Stanley analyst Adam Jonas, who noted that TSLA investors are “undervaluing” the company’s autonomous driving systems. “We believe investors underappreciate/undervalue Tesla’s Autonomy business. Many investors to whom we speak do not explicitly include Tesla’s Autonomy business in their valuation of the company,” Jonas said.

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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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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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30 minutes ago

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June 4, 2026

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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12 hours ago

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June 3, 2026

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

Published

13 hours ago

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June 3, 2026

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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