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Tesla Pickup unveiling nears as final truck details take shape

An artist's render of the Tesla Pickup Truck. (Credit: Emre Husman)

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Details about Tesla’s upcoming pickup truck are relatively few and far between, so even small updates are welcome among the all-electric car maker’s community of enthusiasts. That said, CEO Elon Musk recently revealed the final details of the truck are underway and its unveiling should be in two to three months.

“We’re close, but the magic is in the final details. Maybe 2 to 3 months,” Musk teased on Twitter in reference to the Tesla Truck’s reveal timeline.

The last major update from Musk about the cyberpunk-styled truck was given during the recently-held 2019 Annual Shareholder Meeting. During the event, the vehicle’s design, towing capacity, and performance were briefly discussed, Musk specifically noting that the truck’s stats would be comparable or even better than a base Porsche 911. He further estimated its unveiling date to be near the end of summer 2019 which is in line with his most recent comments on the timeline.

An artist’s render of the Tesla Pickup Truck. (Credit: Emre Husman)

To be comparable to a Porsche 911 in terms of speed, the Tesla Truck should have a 0-60 mph time of about 4 seconds. Perhaps a closer rival, though, would be the Rivian R1T pickup truck which is expected to boast a 0-60 mph time of 3 seconds. In terms of towing capacity, however, Musk chose the #1 selling truck in the world for comparison – the Ford F-series. “If the (Ford) F-150 can tow it, the Tesla truck can do it,” he boasted during the Annual Shareholder Meeting.

With such impressive claims in mind, it’s no wonder that the website AutoWise recently found the Tesla Truck to be the most talked about truck on Twitter, beating out the F-150. After an analysis of 100,000 geotagged tweets, AutoWise determined that Tesla had captured the majority of social media conversations on the platform, particularly in the northern half of the US and the two coasts. Notably, the F-150 still remains popular in the south, which may prove challenging for Musk’s unique approach to the Tesla Truck’s design. The CEO has admitted on several occasions that its Blade Runner-inspired form might not appeal to a wide audience, the traditional truck crowd in particular.

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Of all the aspects of Tesla’s upcoming truck that has received attention, the starting price has received a lion’s share: $49,000. The amount was revealed during Musk’s recent appearance at Tesla owner-enthusiast Ryan McCaffrey‘s Ride the Lightning podcast, among other details. Incredibly enough, Musk also pointed out that Tesla is looking to offer the vehicle at “well under” $50,000. “You should be able to buy a really great truck for $49k or less,” he said. Rivian’s all-electric R1T pickup truck is said to start at $69,000, but the company’s vehicle design is much more traditional overall, which may be a competitive feature despite the price hike over Tesla’s truck.

One Tesla enthusiast have decided not to wait for the pickup’s unveiling or availability in order to own it and opted to build one using a Model 3 as the base. YouTuber and robot-enthusiast Simone Giertz constructed her very own “Truckla” with some assistance from a few knowledgeable individuals including Tesla rebel mechanic Rich Benoit of the Rich Rebuilds channel. The final design resembled a coupe utility vehicle in the spirit of classic muscle cars such as the Chevrolet El Camino.

Despite only having an abstract glimpse of the front of the Tesla Truck from a photo revealed at the Model Y unveiling (and later via Elon Musk’s Twitter account because no one noticed it at the event), the excitement is clearly quite strong for the vehicle. The timeline appears to be holding steady, so hopefully Tesla and Musk won’t keep the crowd waiting much longer.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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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.

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

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

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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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