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Tesla designs safer airbag deployment system through seat sensors in new patent
Tesla’s electric cars are among the safest on the road, so much so that the Model 3, Model S, and Model X are among the NHTSA’s top vehicles with the lowest probability of injury in the event of an accident. Thanks to Tesla’s use of ultra-high-strength steel and aluminum, as well as the vehicles’ extra large crumple zones due to their all-electric design, the company’s electric cars are capable of protecting their occupants when untoward events happen on the road.
If a recently published patent application is any indication, though, it appears that Tesla is exploring more ways to make its vehicles even safer. Tesla’s recent patent, titled “Sensors for Vehicle Occupant Classification Systems and Methods,” taps into the company’s prowess in tech by using a system that alows cars to detect and/or classify their occupants based on readings from a series of sensors in the seats. With such a system in place, safety features could activate in a way that is optimized for passengers.
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- Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
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- Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
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- Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
Diagrams depicting Tesla’s “Sensors for Vehicle Occupant Classification Systems and Methods” patent. (Credit: US Patent Office)
Tesla notes that cars on the road today are becoming safer overall, thanks to systems that monitor operations while the vehicle is in motion and features that provide coordinated alerts and assistance as needed. While such processes make vehicles safe, though, Tesla states that there is still a large area for improvement. One such area, according to the electric car maker, is in the way airbags deploy in the event of an accident.
“Difficulties remain in reliably detecting the presence of vehicle occupants and accurately classifying them as children, relatively small adults, and/or according to other classifications, and particularly in differentiating between classifications. Accurate classification can be critical when the vehicle is attempting to assist or enact safety measures to protect the occupant.
“In particular, airbag deployment can be adjusted to reduce risk of injury caused by the airbag while maintaining safety of the occupant during a collision. However, while reduced-force airbag deployment is recommended for relatively small adult females, it is not recommended for young children, even though the young children can reach heights and weights approaching those of the relatively small adult females. Thus, there is a need for an improved methodology to provide reliable and accurate vehicle occupant classification, particularly in the context of controlling an occupant restraint system that can apply force to an operator of the vehicle.”
Tesla’s patent application explores the use of sensors placed on the vehicle’s seats that enable the cars to classify their occupants. By classifying the size, weight, and body type (among others) of a passenger, the car would be able to deploy airbags in the safest way possible during an accident. Tesla describes this system as follows.
“In accordance with various embodiments of the present disclosure, occupant detection and classification may be provided by an occupant weight sensor, an occupant presence sensor, and a logic device configured to convert sensor signals provided by the occupant weight sensor and the occupant presence sensor into an estimated occupant weight and an occupant presence response, which may be used together to reliably detect and classify the occupant with increased sensitivity, accuracy, and granularity compared to conventional detection systems.
“In particular, embodiments of the present occupant classification system may be employed to detect and differentiate a child from a relatively small woman or man and disable, partially enable, or fully enable an airbag as appropriate. Such occupant classification systems may be implemented with various types of user feedback mechanisms, including reporting detections and classifications both locally and remotely, such as to a smartphone, for example, and reporting potentially unsafe conditions and/or undesired operation of the vehicle, as described herein.”
With this system in place, Tesla’s electric cars would be even safer than they already are. If any, this would widen the gap further between Tesla’s vehicles and conventional cars, many of which are bogged down in frontal collisions due to the presence of a large, heavy engine under the hood. That said, this recent patent application all but emphasizes Tesla’s proactive nature and the company’s tendency to always make efforts to improve.
This particular nature was emphasized by Elon Musk on Twitter last October, when he explained that there is “no such thing” as a “full refresh” or even a model year at Tesla. In his tweet, Musk stated that all the company’s vehicles are partially upgraded every month “as soon as a subsystem is ready for production,” thereby ensuring buyers that they are getting the best vehicles available at their time of purchase. This, coupled with Tesla’s trademark over-the-air updates — which give new features from driver assist functions such as Navigate on Autopilot, to fun, quirky things like the Romance Mode Easter Egg — truly make the company’s electric cars unique on the road.
The full text of Tesla’s recent patent application could be accessed here.
Elon Musk
OpenAI cites distrust of SpaceX in decision to drop Cursor partnership
OpenAI will cut SpaceX-owned Cursor’s model access in November, citing Musk’s history of broken contracts.
OpenAI, the company behind ChatGPT, announced late Friday that it is ending its partnership with Cursor, cutting off the coding tool’s access to its models on November 12. The move comes two weeks after SpaceX completed its $60 billion acquisition of Cursor’s parent company, Anysphere, folding the popular AI coding assistant into Elon Musk’s growing SpaceXAI division.
In a post on its website, OpenAI said the decision came down to trust, not technology. “We cannot be confident that SpaceX will use our technology within our terms of service, based on our experience with Elon Musk’s companies violating contracts,” the company wrote. OpenAI pointed to two specific incidents: X, now part of SpaceX, allegedly breaking the terms of an existing OpenAI contract after Musk bought Twitter.
That lawsuit is the backdrop for all of this. Musk cofounded OpenAI in 2015, left the board in 2018, and sued Sam Altman and Greg Brockman in 2024, arguing they abandoned the company’s nonprofit mission for profit. A federal jury sided with OpenAI in May, finding Musk waited too long to sue rather than ruling on the merits of his claims. Musk said at the time he would appeal to the Ninth Circuit, calling the outcome a “calendar technicality” rather than a real judgment.
SpaceX’s interest in Cursor predates that verdict by weeks. The company first struck a deal with Cursor in April, securing an option to acquire it for $60 billion or pay $10 billion for joint development work instead. As Teslarati reported at the time, the logic was straightforward: Cursor was paying retail prices to Anthropic and OpenAI, two of its most direct competitors, every time a developer used its product, while SpaceX had idle capacity on its Colossus supercomputer, roughly the equivalent of a million Nvidia H100 GPUs, that Cursor could use to train its own models instead. SpaceX exercised the option in June, days after its own IPO, and the deal closed in mid-August.
Once it closed, Musk moved fast. On an all-hands call with more than 1,000 Cursor employees, he reportedly told staff that SpaceXAI’s Grok was playing catchup in the AI race, unlike Tesla and SpaceX in their own markets, and singled out Anthropic as the company to catch. Cursor CEO Michael Truell now reports directly to Musk inside SpaceXAI.
Losing OpenAI’s models leaves Cursor leaning harder on Anthropic’s Claude, which has its own compute agreement with SpaceX, and on Cursor’s in-house Composer model, the one SpaceX’s compute was supposed to accelerate in the first place. OpenAI framed the November deadline as maximum notice under its contract, and said it wants to “go above and beyond” to help developers through the transition. Whether Anthropic makes the same call is now the open question in AI coding.
The in-car Tesla Theater is among the most unique features available within the cars. When charging, parked, camping, or just hanging out, vehicle occupants can access a variety of streaming platforms on the large center screen, helping keep them entertained during downtime.
However, the Theater might be getting plenty more streaming platforms, something that owners have requested for some time.
Tesla owners recently discovered that visiting Apple TV in the vehicle browser can launch a fullscreen interface that looks and behaves like a dedicated application rather than an ordinary webpage:
Today I learned that if you go to Apple TV in the Tesla browser, it will open up an actual Apple TV app, fully functional. Not just the site.
Apparently there are more apps than just the few that show on the apps page. pic.twitter.com/os1Ypfm4JR
— Jason W (@jmwilt21) August 20, 2026
The experience drops the usual address bar and browser chrome, presenting catalogs, continue watching rows, and playback controls in the same window Tesla Theater already uses for its listed services. Independent testers soon found similar treatment for HBO Max, Paramount+, Peacock, Disney+, and Prime Video when those sites are opened from the car browser.
This shift is a plausible early signal that Tesla is widening Theater support without a formal software note. Theater has long been a set of web views rather than native applications, so recognizing extra domains and stripping the browser frame is a small server-side change that can expand the catalog quickly.
Owners still lack permanent Theater icons for the newly recognized services, and video remains limited to Park, yet the smoother launch is a meaningful step toward a broader lounge while charging.
Tesla Theater arrived with software version 10 in September 2019. The first video services were Netflix, YouTube, and Hulu, available only while parked and originally tied to WiFi. Spotify arrived in the same era as music rather than Theater video. Disney+ joined officially in July 2021 with the 2021.24 update, giving owners another major catalog on the center screen. Twitch and TikTok later appeared among the default Theater tiles, and Tesla Tutorials remained a persistent educational tile.
Not every addition stayed put. In December 2023, a Holiday software build removed the Disney+ tile for many United States owners after a public dispute involving advertising on X. Hulu stayed visible even though Disney owned it. Visiting disneyplus.com in the browser often restored the tile, which suggested the removal was a recognition list change rather than a complete block. Owners have also reported occasional blank Theater grids after updates, usually fixed by language toggles, resets, or later firmware.
Tesla axes Disney+ from vehicles with Musk-Iger rivalry, but there’s a workaround
Code archives from 2024 listed many unused source names, including Apple TV and Prime Video, that never became official icons, which now looks like groundwork for the current fullscreen browser behavior.
Now that this hint toward an expanded Theater experience has been recognized, Tesla could follow through with these additional shortcuts as a sign that more streaming platforms are available in Teslas than ever before.
Tesla recently received its largest order for the all-electric Semi from Einride, a Swedish transport service, for 500 units, a groundbreaking invoice to receive before the first deliveries begin.
Even more remarkable, Einride CEO Roozbeh Charli said in a recent interview that he expects his company to take delivery of all 500 — the entire order — before the end of 2027. He even expects to have 75 Tesla Semi units in the Einride fleet before the end of this year.
🚨 Einride CEO Roozbeh Charli on the Tesla Semi partnership:
“If we start with the Amazon announcement that we did earlier this year, that was on the back of having gone through a proving period together with them and proving out our technology. Then we took that next step in… pic.twitter.com/oazkXjwoig
— TESLARATI (@Teslarati) August 28, 2026
Charli said the Tesla partnership was part of a broader push, along with its earlier partnership with Amazon. Einride is assisting Amazon with the use of its Saga AI platform, which helps eliminate questions about budgeting and forecasting for logistics companies.
The Semi, as well as Tesla’s production and subsequent delivery of the units to Einride, will help the company “to have a good supply of vehicles that we can deploy on the [Saga AI] platform,” Charli said. “Tesla is also a relationship we’ve had for a while, and as the Tesla Semi deliveries are firming up, we decided to do a larger commitment to that and deploy that on our platform.”
In its initial announcement, Einride said it anticipated taking delivery of the trucks over the next two years, but now it appears the company is expecting all 500 units within the next 16 months.
Built at a dedicated factory in Sparks, Nevada, the Tesla Semi has been perhaps the biggest and most intensive testing process the company has ever had for a single vehicle model. For the past several years, Tesla has been working with many companies, most notably Frito-Lay and PepsiCo, to gain knowledge on the performance on regional routes.
Tesla plans to launch the Semi officially on September 24, five months after production started ramping.
Additionally, drivers have said they are happy about the Semi’s performance and that its numerous safety and productivity features have made their jobs and routes much easier.
OpenAI cites distrust of SpaceX in decision to drop Cursor partnership
Tesla Theater might be getting plenty more streaming platforms
