The user experience of Tesla’s electric cars is centered mostly on the vehicles’ large, high-resolution displays. Coupled with custom software that provides a quick, smartphone-like experience, Tesla’s screens in its vehicles are already among the best in the auto industry. But in the spirit of the company’s habit of constant innovation, it appears that Tesla is looking to improve the quality of its displays even more.
A recently published patent from the electric car maker, titled “Holographic Decorated Glass for Screen Color Matching,” outlines a way for the electric car maker to improve the viewing angles of its vehicles’ displays. In the patent, Tesla notes that “because display screens typically have a periodic micro-structure (e.g., a pixelated structure), the color of the display screen may be dependent on the angle at which a viewer is looking at the display screen.” This results in viewing angles that have significant room for improvement, even among high-quality screens.
“The non-displaying portions of the device may be unable to match this angular color dependence of the display screen, resulting in a readily visible boundary between the display screen and the non-displaying portions of the device. Accordingly, there is a need for better color integration between the displaying portions of a device and the non-displaying portions of the device,” Tesla wrote.
To address this, Tesla opted to utilize a pigmented frame and index match glue to coat its vehicles’ screens, as well as a holographic glass panel. By adopting these techniques, Tesla expects to provide its vehicles with a screen that can offer optimal viewing angles for all passengers. This is especially useful when paired with the company’s entertainment features such as Tesla Theater or Tesla Arcade, which are accessible when a vehicle is on Park.
Tesla describes its use of index match glue and holographic glass panels as follows.
“Index match glue 206 may change the perceived color and appearance of display 204 to match the color and appearance of surrounding frame 202 within a small range of viewing angles. For example, index match glue 206 may change the perceived color and appearance of display 204 to match the color and appearance of frame 202 within a range of viewing angles approximately normal to the surface of display 204. However, due to the angular dependence of the perceived color and appearance of display 204 (due to display 204 having a holographic structure resulting from the pixels of display 204), index match glue 206 may be unable to change the perceived color and appearance of display 204 to match the color and appearance of frame 202 within a broad range of viewing angles so that the boundary between frame 202 and display 204 is invisible to a viewer. Accordingly, with display 204 coated with index match glue 206 surrounded by frame 202, the boundary between frame 202 and display 204 may still be readily visible at certain viewing angles.”
“The directionality of the periodic structure of holographic film 402 may approximate or match the directionality of the periodic structure of display 406. For example, if display 406 includes a plurality of periodic features (e.g., pixels) oriented in a first direction (e.g., rectangles, triangles, or the like having a common orientation), holographic film 402 may include a plurality of periodic features oriented in the first direction. FIG. 5 shows exemplary system 500 in which the visibility of a boundary between display 504 and a surrounding frame including a holographic structure (here holographic glass panel 502) may be reduced or eliminated over a broad range of viewing angles. In exemplary system 500, a periodic structure is formed on holographic glass panel 502 directly. For example, laser etching on holographic glass panel 502 may produce the periodic structure responsible for the holographic effect of holographic glass panel 502. Holographic glass panel 502 may include holographic structures formed in a variety of other ways, including ablation, etching, deposition processes, and the like.”
The full text of Tesla’s “Holographic Decorated Glass for Screen Color Matching” patent could be viewed here.
A color-matched display with optimal viewing angles might be a rather minor aspect of a vehicle, but for connected cars such as Teslas, it is these little things that make a difference in user experience. A car that boasts some of the most advanced automotive tech available in the auto segment today, after all, deserves a screen that is on par with some of the best mobile devices on the market.
Tesla’s display design outlined in its recently published patent can come in handy as well, particularly as the electric car maker introduces more updates to its fleet of vehicles. Among these is a “Fade Mode,” which Elon Musk has hinted at in the past. While responding to a Twitter follower last year, Musk responded positively to the suggestion of adding an option that allows drivers to dim their vehicles’ display while a car is in motion. This, together with features like V10’s Joe Mode, could help make long trips in Tesla’s electric vehicles much more convenient for passengers.
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.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
