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Tesla rival Porsche is starting to realize it’s not easy to produce the Taycan

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Porsche recently opened reservations for the company’s first all-electric car, the Tesla Model S-rivaling Taycan (formerly known as the Mission E sedan). In an announcement earlier this month, Porsche Managing Director Alexander Pollich stated that the reception to the upcoming vehicle, whose final production version has not yet been unveiled, has so far been encouraging. Porsche expects to start producing the Taycan sometime in 2019, in order to meet what appears to be a healthy demand for the electric car.

As it turns out, ramping production of the Taycan is turning out to be a challenging task for the veteran automaker. Porsche plans to build its Taycan line at a facility located at Zuffenhausen, a suburb in Stuttgart, Germany. The site is a historic location for the pedigreed brand, considering that it is the location where the Porsche 911, one of the company’s most iconic vehicles, is being produced. Other important cars in Porsche’s lineup, such as the 718 Boxster, as well as the 718 Cayman, are also manufactured in the same facility.

Porsche is aiming to produce 20,000 Taycans per year in the Zuffenhausen site. Starting and ramping the production of the all-electric sedan requires a complex reorganization of Porsche’s facility, especially considering that the Taycan’s line has to be built while the production of the 911, 718 Boxster, and 718 Cayman is running at full capacity. In a statement to Dutch auto publication Vroom, Porsche head of production Albrecht Reimold described the difficulties facing the company.

“Finding the right location is a difficult decision. Transforming the existing factory costs a lot of money, moving to a new location as well. Transforming a factory while the production lines are running at full capacity is not an easy task,” he said.

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Project manager David Thor Trygvason elaborated on the complex challenge involved in building the Taycan’s production line. According to Trygvason, the location where the Taycan’s line would be set up has to be overhauled. Apart from this, Porsche’s estimated timeline for the project is 48 months, making the project quite costly and demanding.  

“The existing location has to be demolished and rebuilt in a short time, but at the same time the production of the 911 and 718 Boxster and Cayman must continue to run. That makes it not only difficult in terms of time and money, but also in terms of logistics and mobility. After all, we are in a location where there is already a factory, where other companies are nearby and where people live nearby,” he said.

Despite these difficulties, Reimold noted that Porsche employees have expressed a sincere commitment to begin the production of the Taycan as early as possible. According to the Porsche executive, the company’s workers have agreed to help finance the factory overhaul by opting to keep their pay flat until 2026, at which point the employees will start getting their investments back. This means that the employees will not have regular salary raises for the next few years.

“We have agreed with them to invest a part of their wage increase until 2025 in the construction of the new factory. From 2026, they will simply receive their investment back,” Reimold said.

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Considering that Porche has dubbed the Taycan as one of the company’s most important vehicles after the iconic 911, sacrifices made to start the electric car’s production appear to be necessary, at least for now. If any, Porsche’s struggles to build the Taycan at scale mirror those that have been faced by Tesla with its Model 3 ramp. Just like Porsche’s factory, Tesla also set up its Model 3 lines in the same facility building the Model S and Model X. The aggressive ramp, which CEO Elon Musk aptly dubs as “production hell,” has been haunting the electric car maker for the past year. Ultimately, Porsche’s current difficulties with the Taycan are an indication that Tesla’s struggles with Model 3 production are not problems exclusive to the California-based electric car maker.

Building cars is not a simple task. Building cars that people want to buy is even more challenging. With car buyers and the auto market steadily shifting its interest to electric vehicles, carmakers with upcoming battery-powered cars are now feeling the pressure to roll out their offerings as quickly as they can. Being one of the legacy carmakers who has committed to releasing an electric car, this is something that Porsche appears to be experiencing now. Nevertheless, with a line of reservations that are growing longer, and with a workforce determined to make sacrifices for the company, there is a good chance that the Porsche Taycan can still make it in time for its anticipated debut next year. According to Trygvason, the work being done in Porsche’s factory might be daunting, but “the good news is that the work is still fully on schedule.”

The Porsche Taycan is expected to feature the legacy carmaker’s trademark performance, with the vehicle listed with a 0-60 mph time of 3.5 seconds, a range of 310 miles per charge, and a top speed of 155 mph.

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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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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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