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Tesla Model S, X with “Hardware 3” for Full Self-Driving now in production, inventory codes indicate
Tesla has begun producing Model X and Model S vehicles with the latest Autopilot hardware to support Full Self-Driving capabilities. Dubbed “HW3”, the new hardware is Tesla’s next iteration of its semi-autonomous driving-assist feature that includes Navigate on Autopilot, Advanced Summon, Auto Lane Change, Autopark, and the ability to respond to traffic lights.
Looking at the source code behind Tesla’s New Inventory site, we’re able to see that recently produced Model S and Model X with Autopilot have been given an “APH4” options code, signifying that these vehicles are equipped with the latest Full Self-Driving hardware. Tesla uses the option code sequence “APHx” to denote the type of Autopilot hardware installed in its vehicles. APH2 indicates HW2 and APH3 = HW2.5 (Autopilot 2.5). Thus, APH4 is HW3.
Here’s a side-by-side comparison of two 2019 Model S with and without the new Hardware 3 for Autopilot.
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- 2019 Tesla Model S with Hardware 2.5 (2019 Tesla Model S with “Hardware 3” (APH3)
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- 2019 Tesla Model S with “Hardware 3” (APH4)
Source: Tesla New Inventory listing
The tip comes to us from Tesla Info and Inventory, a web site which compiles inventory data for Tesla vehicles around the world, noted that internal vehicle “option codes” indicated a change from Hardware 2.5 to Hardware 3. The site pulls source data directly from Tesla’s car listing pages and analyzes the “config” data embedded in the HTML to determine this information.
This discovery aligns with the schedule for the HW3 installs previously set forth by Tesla CEO Elon Musk. Last October, Musk estimated a 6-month wait before the the new chips would be installed in all new production cars, meaning an April showing.
~6 months before it is in all new production cars. No change to sensors. This is simple replacement of the Autopilot computer. Will be done free of charge for those who ordered full self-driving.
— Elon Musk (@elonmusk) October 16, 2018
Musk has touted HW3 as the “world’s most advanced computer designed specifically” for the purpose of self-driving functionality, with Tesla holding a notable lead in the field overall. “If you add everyone else up combined, they’re probably 5% — I’m being generous — of the miles that Tesla has. And this difference is increasing,” Musk said in Tesla’s 2018 Q4 earnings call.
For vehicles without HW3 installed at the time of manufacture, Musk has stressed the simplicity of the upgrade process in Tesla’s 2018 Q2 earnings call. “We take out one computer and plug in the next. That’s it. All the connectors are compatible and you get an order of magnitude, more processing and you can run all the cameras at primary full resolution with the complex neural net.”
The simple upgrade to HW3 does require Tesla cars to have HW2 as the equipment needed for its functionality was included in those vehicles. The software uses an array of 8 cameras, 12 ultrasonic sensors, and a forward-facing radar paired with Tesla’s vision and neural net system.
The first features of the Full Self-Driving suite were included in the Version 9 software released in October. “Navigate on Autopilot”, an active guidance feature with Autosteer for highway driving (with driver supervision) came soon after with the release of HW2.5. Improvement in performance from software Version 8.1. to 9.0 was increased by about 400% in useful operations per second; however, the difference between V9.0 and HW3 will make a difference of 500-2000%, according to Musk. Tesla has been releasing iterative over-the-air updates over the last year in preparation for the coming HW3 and complete FSD capabilities.
The current iteration of Tesla’s FSD capabilities includes core highway navigation, autopark, and Summon for car retrieval in parking lots. Recognition of traffic signs and signals as well as city street driving are expected to be coming later this year.
Now that HW3 is on its way to current and future Tesla customers, Full Self-Driving certainly feels right around the corner. However, the biggest obstacle to full implementation still sits on the regulation side, a time-consuming yet necessary part of the consumer vehicle industry, especially when a company is handing over responsibility to a computer. Tesla’s Autopilot page still references full self-driving capabilities as something “in the future” that may happen after regulatory approval which “may take longer in some jurisdictions.”
Tesla’s dominance in the all-electric market will most likely work in its favor to overcome the legal hurdles in the way of autonomous driving. As sales continue to rise with the growing number of customers now able to meet more affordable price points, Tesla will keep accumulating useful data to hone its FSD software and make the case for its much-safer-than-humans capabilities. Other companies may have long been battling the same regulatory demons Tesla is now up against, but the electric car was also “killed off” prior to their very influential arrival on the market. In “Musk World”, there is improbable, but not often impossible.
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.
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.
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:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
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.
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:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
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.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
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:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
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:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
