Firmware
Tesla patent hints at Hardware 3’s neural network accelerator for faster processing
During the recently-held fourth-quarter earnings call, Elon Musk all but stated that Tesla holds a notable lead in the self-driving field. While responding to Loup Ventures analyst Gene Munster, who inquired about Morgan Stanley’s estimated $175 billion valuation for Waymo and its self-driving tech, Musk noted that Tesla actually has an advantage over other companies involved in the development of autonomous technologies, particularly when it comes to real-world miles.
“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. A year from now, we’ll probably go — certainly from 18 months from now, we’ll probably have 1 million vehicles on the road with — that are — and every time the customers drive the car, they’re training the systems to be better. I’m just not sure how anyone competes with that,” Musk said.
To carry its self-driving systems towards full autonomy, Tesla has been developing its custom hardware. Designed by Apple alumni Pete Bannon, Tesla’s Hardware 3 upgrade is expected to provide the company’s vehicles with a 1000% improvement in processing capability compared to current hardware. Tesla has released only a few hints about HW3’s capabilities over the past months. That said, a patent application from the electric car maker has recently been published by the US Patent Office, hinting at an “Accelerated Mathematical Engine” that would most likely be utilized for Tesla’s Hardware 3.
Tesla notes that there is a need to develop “high-computational-throughput systems and methods that can perform matrix mathematical operations quickly and efficiently,” particularly in computationally demanding applications such as convolutional neural networks (CNN), which are used in image recognition and processing. CNNs use deep learning to perform descriptive and generative tasks, usually utilizing machine vision that involves image and video recognition. These processes, which are invaluable for the development and operation of driver-assist systems like Autopilot, require a lot of computing power.
Considering the large amount of data involved in applications such as CNNs, the computational resources and the rate of calculations become limited by the capabilities of existing hardware. This becomes particularly evident in computing devices and processors that execute matrix operations, which encounter bottlenecks during heavy operations, resulting in wasted computing time. To address these limitations, Tesla’s patent application hints at the use of a custom matrix processor architecture.
“In operation according to certain embodiments, system 200 accelerates convolution operations by reducing redundant operations within the systems and implementing hardware specific logic to perform certain mathematical operations across a large set of data and weights. This acceleration is a direct result of methods (and corresponding hardware components) that retrieve and input image data and weights to the matrix processor 240 as well as timing mathematical operations within the matrix processor 240 on a large scale.”
By adopting its custom matrix processor architecture, Tesla expects its hardware to be capable of supporting larger amounts of data. In terms of formatting alone, the electric car maker notes that its design would allow the system to reformat data on the fly, making it immediately available for execution. Tesla also notes that its architecture would result in improvements in processing speed and efficiency.
“Unlike common software implementations of formatting functions that are performed by a CPU or GPU to convert a convolution operation into a matrix-multiply by rearranging data to an alternate format that is suitable for a fast matrix multiplication, various hardware implementations of the present disclosure re-format data on the fly and make it available for execution, e.g., 96 pieces of data every cycle, in effect, allowing a very large number of elements of a matrix to be processed in parallel, thus efficiently mapping data to a matrix operation. In embodiments, for 2N fetched input data 2N2 compute data may be obtained in a single clock cycle. This architecture results in a meaningful improvement in processing speeds by effectively reducing the number of read or fetch operations employed in a typical processor architecture as well as providing a paralleled, efficient and synchronized process in performing a large number of mathematical operations across a plurality of data inputs.”
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It should be noted that Tesla’s patent application for its Accelerated Mathematical Engine is but one aspect of the company’s upcoming hardware upgrade to its fleet of electric cars. The full capabilities of Tesla’s Hardware 3, at least for now, remain to be seen. Ultimately, while Tesla did not provide concrete updates on the development and release of Hardware 3 to the company’s fleet of vehicles during the fourth quarter earnings call, Musk stated that some full self-driving features would likely be ready towards the end of 2019.
Back in October, Musk noted that Hardware 3 would be equipped in all new production cars in around 6 months, which translates to a rollout date of around April 2019. Musk stated that transitioning to the new hardware will not involve any changes with vehicle production, as the upgrade is simply a replacement of the Autopilot computer installed on all electric cars today. In a later tweet, Musk mentioned that Tesla owners who bought Full Self-Driving would receive the Hardware 3 upgrade free of charge. Owners who have not ordered Full Self-Driving, on the other hand, would likely pay around $5,000 for the FSD suite and the new hardware.
Tesla’s patent application for its Accelerated Mathematical Engine could be accessed here.
Firmware
Tesla unlocks in-car web conferencing to extend Google Meet, Teams and beyond
Tesla’s Summer Update lets owners join Google Meet, Teams, and Discord calls via cabin camera.
Tesla’s 2026 Summer Update, which just began rolling out to customer vehicles, now links the built-in web browser with the in-cabin camera feed and microphone input, thereby letting owners join video calls on nearly any browser-based service instead of just Zoom.
The change appears in Tesla’s own release notes for software version 2026.26 under “Web Browser,” which states that the vehicle can now use its interior camera and cabin microphone when a website requests access, with permission granted the same way a desktop browser handles it. As NotATeslaApp notes, this feature opens the door to Google Meet, Microsoft Teams, Discord, and other webcam-enabled sites to activate the in-car cabin-facing camera. The feed automatically crops and zooms to center the driver in frame.
Tesla has offered in-car video calling before, but only through a dedicated Zoom app that launched at the end of 2022, a stripped-down browser preloaded with Zoom’s own web client and gated behind Premium Connectivity. Opening the full browser to any camera-requesting site removes that walled garden. Elon Musk first called video conferencing “definitely a future feature” back in 2020, when the pandemic pushed remote meetings into daily life, so this update effectively finishes something Tesla has been promising for six years.
Tesla Summer Update begins rolling out: a look at the new features
The feature keeps the same restrictions that applied to Zoom on Tesla vehicles. It only works while the car is parked; shifting into Drive disables the camera feed, according to the release notes. It is also limited to vehicles running Tesla’s AMD Ryzen infotainment hardware, meaning older Intel-based Model S and Model X units, along with early Model 3 and Model Y builds, don’t get it.
Turning the browser into a general entry point for the in-cabin camera, rather than routing everything through one local app, widens the number of third-party sites that can ask for access, even though Tesla’s permission prompt.
With the Summer update only days into its rollout, be sure to stay with us on TikTok and X to see the latest video demonstrations.
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Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
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Tesla announced its Spring 2026 software update, and it’s the most feature-dense seasonal release the company has put out. The update covers twelve named changes spanning FSD, voice AI, safety lighting, dashcam storage, and pet display customization, among other things.
The centerpiece for owners with AI4 hardware is a redesigned Self-Driving app. The new interface lets owners subscribe to Full Self-Driving with a single tap and view ongoing FSD usage stats directly in the vehicle.
Grok gets its biggest in-car upgrade yet. The update adds a “Hey Grok” hands-free wake word along with location-based reminders, so a driver can now say “remind me to pick up groceries when I get home” without touching the screen. Grok first arrived in vehicles in July 2025, but each update has pushed it closer to genuine daily utility. Musk framed the broader vision clearly at Davos in January, saying Tesla is “really moving into a future that is based on autonomy.”
On safety, the update introduces enhanced blind spot warning lights that integrate directly with the cabin’s ambient lighting, building on the blind spot door warning that arrived in update 2026.8.
Dog Mode has been renamed Pet Mode and now lets owners choose a dog, cat, or hedgehog icon and add their pet’s name to the display.
Dashcam retention now extends up to 24 hours, up from the previous one-hour rolling loop, with a permanent save option for any clip. Weather maps now show rain and snow with better color differentiation and include the past hour of precipitation data along the route.
Tesla has now established a clear rhythm of two major OTA pushes per year. As with last year’s Spring update, that cycle started taking shape in 2025 with adaptive headlights and trunk customization. The 2025 Holiday Update then added Grok to the vehicle for the first time. This Spring follows that structure: the Holiday update introduces new architecture, and the Spring update broadens it across the fleet.
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Two notable features still did not make it. IFTTT automations, which launched in China earlier this year, were held back from this North American release for unknown reasons, and Apple CarPlay remains absent, reportedly still delayed by iOS 26 and Apple Maps compatibility issues.
Below is the full list of feature updates released by Tesla.
— Tesla (@Tesla) April 13, 2026
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