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Michigan becomes first state to approve self-driving cars for public roads

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Michigan has become the first state to approve the sale of autonomous cars for use on public roads. Governor Rick Snyder signed the legislation making the sale of self-driving cars legal on December 9. The legislation is part of a package of four bills that cleared the Michigan senate last September. In addition to authorizing the sale of autonomous cars, the package includes funding for the American Center for Mobility — a research campus where autonomous driving technologies can be tested before being offered to the public.

American Center for Mobility

Proposed American Center for Mobility Credit: Michigan Economic Development Corp

The new law permits the sale of vehicles similar to Google’s autonomous test car that has no steering wheel, accelerator, or brake pedal. “By establishing guidelines and standards for self driving vehicles, we’re continuing that tradition of excellence in a way that protects the public’s safety while at the same time allows the mobility industry to grow without overly burdensome regulations,” Gov. Snyder said at a bill signing ceremony. “We are still the heart and soul of the auto industry, make no mistake about that,” Snyder continued.

The driving force behind the legislative package — which was vigorously supported by Ford and General Motors — is a desire to stop the brain drain of engineers from Michigan to Silicon Valley and other West Coast technology centers like Seattle. The American Center for Mobility will be constructed at the GM’s former Willow Run powertrain factory and automotive testing area. Prior to that, Willow Run manufactured B-24 bombers during World War II and was an important part of a manufacturing structure that made America the so-called “Arsenal of Democracy.”

Willow Run already has some infrastructure that will be useful for testing autonomous cars. It has long straightaways for high speed testing. It features a three level interchange, a high speed loop, and several bridges and tunnels. In addition, it already has the infrastructure needed to test connected car systems and features mock-ups of urban, suburban, and rural environments, according to AutoBlog.

This legislation will turn “the eyes of the world once again on Michigan for its engineering and its research,” says Michigan senator Ken Horn, a co-sponsor on the legislative package. “It’s a different kind of car-building,” Horn said on the Senate floor prior to voting, “but car-building nonetheless.”

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It is ironic that Michigan should be so intent on being a leader in some areas while remaining doggedly opposed to innovations in others. The determining factor seems to be what Ford and General Motors want, as they are the tail that wags the dog in Michigan. The state bitterly opposes Tesla’s direct to customer sales model, for instance.

On the one hand, the state has bought shares of Tesla Motors for its retirement fund. Tesla is also a significant presence in Michigan’s manufacturing sector after purchasing the former Michigan-based Riviera Tool Company. But despite all Tesla’s lobbying efforts, the state’s franchise dealers, with substantial support from General Motors, have managed to block any changes to state law that would permit Tesla to open showrooms in the state to sell its cars directly to the public.

The new law permitting the sale of self-driving cars highlights the current struggle between traditional car companies and technology companies. Leading up to next week’s Technology In Motion conference co-hosted by Automotive News, Mike Ableson, vice president of strategy and global portfolio planning for General Motors, said automakers need to look at “the innovations coming out of Silicon Valley from Apple and Google and Samsung and put boundaries around that, not just for the OEM but also for the consumer. How far into the car do you let them come?”

Frank Weith, director of connected services at Volkswagen Group of America, said automakers need to make sure they don’t lose their identity as new technologies play a larger and larger role in the cars of the future. “We don’t want to be just a commodity, selling bulk vehicles to Google or Apple or Uber,” Weith said. “We want to be part of the consumer experience and keep our product up there.”

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Both Ableson and Weith pointedly refrain from mentioning Tesla, but the shadow of Elon Musk is clearly a background factor in their remarks.

 

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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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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.

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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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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

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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.

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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

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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.

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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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