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Tesla taps new glass supplier for Plaid Model S

Credit: Tesla

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This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.


Tesla has tapped a new type of automotive glass from supplier AGP for the Plaid Model S, invoking the thought that everything, even the finest details of the vehicle, was considered a possible improvement for the company’s rebirth of the all-electric, flagship sedan.

Many months ago, Teslarati stumbled across a list of Tesla’s suppliers through international connections. These suppliers were shipping massive volumes of whatever product they were giving to Tesla on cargo ships, and we noticed that there was a company called AGP that was shipping windshields and other automotive glasses to the company’s Fremont Factory.

It turns out that AGP has been providing Tesla with automotive glass for several years. Back in 2016, AGP provided glass for the Model X’s panoramic roof and windshields. However, Tesla utilized AGC Automotive’s windshields for its cars, according to Investopedia.

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AGP is a Peru-based company that specializes in all types of automotive glass, but what they’ve done for Tesla is especially interesting. The company has been in business for 50 years, but just like everything else, it changes, and the automotive industry is no different. As electric vehicles have become more mainstream, technologies surrounding the development of these new, sustainable automobiles are popping up left and right. AGP’s eGlass for electric and autonomous vehicles is no different.

Now, AGP says on its website that it collaborates “closely with the companies that are leading the new wave of the electric and autonomous vehicles of tomorrow.” When I first stumbled across AGP many months ago on the cargo ship list for Tesla, there was no indication that there was an official partnership, so I looked into it a tad further. I reached out to AGP and received a response that thanked me for my inquiry but refused to confirm or deny whether it was in any sort of professional relationship with Tesla. Ironically, AGP gave the answer we needed, because responding to me was all I needed to know.

Many may ask, “What’s the significance of what glass Tesla is using on its cars?” There are plenty of automotive glass suppliers out there that are worth their weight in gold, providing high-quality windshields and windows for vehicles on the road. Of course, consumers are going to want something that is relatively high quality, because nothing is worse than driving behind a tractor-trailer on the Interstate, just to have a chip or small crack on your windshield from something as tiny as a pebble. While strength is undoubtedly a need for all windshields, EVs require a slightly different bit of development.

One of the biggest focuses for EVs is their drag coefficient. Why is it so important? Because aerodynamics are crucial to the performance, range, and effectiveness of electric vehicles. As high-quality, long-range batteries are hard to come by in the EV sector, manufacturers look for every advantage they can get to achieve robust range ratings. While Tesla is the leader in EV range figures, the company is still looking for ways to get all of its vehicles to or near the 400-mile threshold.

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Aerodynamics are a great way to do that. And Tesla undoubtedly worked extremely hard to achieve the best-in-class drag coefficient of .208, beating out the Lucid Air’s impressive .21 coefficient.

We knew aerodynamics was going to be a big part of the Plaid Model S when it was spotted at the Nürburgring two years ago. The vehicle was sporting a large spoiler, a huge rear diffuser, and the new eGlass from AGP is just another addition to Tesla’s attempts to make the Plaid Model S the most aerodynamic vehicle in its lineup.

A blue Tesla Model S Plaid unit with new aeros attacks the Nurburgring. (Photo: Stefan Baldauf/Auto Motor Uund Sport)

We finally confirmed that AGP was providing the highly aerodynamic and EV-specific automotive glass to the Model S Plaid thanks to Tesla Raj, who took a picture of the manufacturer’s sticker on the window of the all-electric sedan at Tesla’s Delivery Event on June 10th. This all confirmed Teslarati’s discovery of AGP in its supplier list several months ago and also confirmed that the two companies had a partnership, despite AGP’s unwillingness to provide a comment (which we understood why!)

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It makes me think about what Elon Musk may have needed to work on for the final week of Plaid development. When he had announced that the event was going to be delayed a week due to “tweaks,” I wondered whether it was software or hardware. While it was likely a software fix that needed to be addressed, it could have been related to the drag coefficient, which Tesla proudly displayed at the Plaid Event on the 10th. Nevertheless, the vehicle has finally been released to pre-orderers, and the fastest production car that has ever run the 1/4-mile drag is here, and it’s taking down anything in its path.

A big thanks to our long-time supporters and new subscribers! Thank you.

I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!

-Joey

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla Hardware 3 owners could be made whole this month

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Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

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Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

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Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

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This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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Elon Musk

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 adds new Supercharger feature for a better idea of what to expect

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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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