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Tesla Autopilot update for better speed limit sign recognition is coming soon

Credit: YouTube | aDigitalNomad

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Tesla CEO Elon Musk fielded several requests to address Autopilot’s ability to determine speed limit signs accurately, and the accuracy of its map data.

Amid reports that Autopilot users are still experiencing inaccuracies with the software’s ability to accurately read speed limit signs, Musk reassured users over Twitter that improvements are of utmost priority and an update is coming soon.

In the past, Tesla vehicles have displayed issues with recognizing Speed Limits correctly. Researchers at McAfee Advanced Threat Research managed to trick Tesla’s speed limit recognition technologies in the past by adjusting the appearance of the number “3” on a 35 MPH speed limit sign. This adjustment tricked the Tesla into thinking the speed limit was 85 MPH.

Some owners on Tesla’s forums stated their vehicles had issues recognizing speed limit signs accurately. Sometimes, the car would not register a speed limit sign at all. The problem caused some owners to have their vehicles driving through zones at excessive speeds, causing a safety issue and risking them to receive a ticket.

One owner in the forum stated, “Was wondering why some speed limits signs are not recognized on my Tesla. Don’t need a ticket.”

It seems that some owners whose cars still utilize Mobileye and Hardware 1 are the only drivers whose vehicles recognize signs accurately the majority of the time. However, when Tesla and Mobileye ended a partnership in 2016, Tesla was forced to make its own software to recognize speed limits. Tesla vehicles manufactured after the partnership ended use GPS-based speed limit recognition and not camera-based identification.

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Arguably one of the most substantial hurdles Tesla must jump through on its journey to autonomous driving features is the accuracy of sign recognition. Without the ability to read road signs and speed limits, the autonomous features are pointless because the vehicle will not function properly. Tesla’s Artificial Intelligence program is working diligently to improve the functionality of Autopilot, and it starts with accurate street sign recognition.

When Tesla’s Head of AI Andrej Karpathy spoke about the processes of identifying street signs, he explained that the vehicles depend on code to recognize instructions. The issue with this is that many states utilize different words or layouts to describe the same action. For example, Karpathy stated Tesla holds the most extensive set of “Except Right Turn” signs in its database. These signs often say the same thing but are different sizes, fonts, or shapes, all of which are factors that can spell trouble for a software system.

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Andrej Karpathy shows Tesla’s extensive database of Except Right Turn signs. (Credit: YouTube | Matroid)

The improvement of accurately recognizing signs will move Tesla closer to finishing its Full Self-Driving suite. After Tesla released the Stop Sign and Traffic Light Control feature, only City Driving remains on the list of FSD features that have yet to be unveiled. Recently, the company also published its safety statistics, marking Autopilot’s safest year to date. With added improvements over time, thanks to the contribution of data to the company’s Neural Network, Tesla can continue to improve upon its already impressive FSD performance.

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 Cybertruck Dual Motor AWD estimated delivery slips to early fall 2026

Tesla has also added a note on the Cybertruck design page stating that the vehicle’s price will increase after February 28.

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Credit: Grok Imagine

Tesla’s estimated delivery window for new Cybertruck Dual Motor All-Wheel Drive (AWD) orders in the United States has shifted to September–October 2026. This suggests that the vehicle’s sub-$60,000 variant is now effectively sold out until then.

The updated timeline was highlighted in a post on X by Tesla watcher Sawyer Merritt, who noted that the estimated delivery window had moved from June 2026 to September-October 2026, “presumably due to strong demand.”

The Dual Motor AWD currently starts at $59,990 before incentives. Tesla has also added a note on the Cybertruck design page stating that the vehicle’s price will increase after February 28.

If demand remains steady, the combination of a later delivery window and a pending price increase suggests Tesla is seeing sustained interest in the newly-introduced Cybertruck configuration. This was highlighted by Elon Musk on X, when he noted that the Cybertruck Dual Motor AWD’s introductory price will only be available for a limited time.

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When the Cybertruck was first unveiled in November 2019, Tesla listed the Dual Motor AWD variant at $49,990. Adjusted for inflation, that figure equates to roughly $63,000 in 2026 dollars, based on cumulative U.S. inflation since 2019.

That context makes a potential post-February price in the $64,000 to $65,000 range less surprising, especially as material, labor, and manufacturing costs have shifted significantly over the past several years.

While Tesla has not announced a specific new MSRP, the updated delivery timeline and pricing note together suggest that the Cybertruck Dual Motor AWD could very well be the variant that takes the all-electric full-sized pickup truck to more widespread adoption.

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SpaceX targets 150Mbps per user for upgraded Starlink Direct-to-Cell

If achieved, the 150Mbps goal would represent a significant jump from the current performance of Starlink Direct-to-Cell.

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Credit: SpaceX/X

SpaceX is targeting peak download speeds of 150Mbps per user for its next-generation Direct-to-Cell Starlink service. The update was shared by SpaceX Spectrum & Regulatory Affairs Lead Udrivolf Pica during the International Telecommunication Union’s Space Connect conference.

“We are aiming at peak speeds of 150Mbps per user,” Pica said during the conference. “So something incredible if you think about the link budgets from space to the mobile phone.”

If achieved, the 150Mbps goal would represent a significant jump from the current performance of Starlink Direct-to-Cell.

Today, SpaceX’s cellular Starlink service, offered in partnership with T-Mobile under the T-Satellite brand, provides speeds of roughly 4Mbps per user. The service is designed primarily for texts, low-resolution video calls, and select apps in locations that traditionally have no cellular service.

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By comparison, Ookla data shows median 5G download speeds of approximately 309Mbps for T-Mobile and 172Mbps for AT&T in the United States, as noted in a PCMag report. While 150Mbps would still trail the fastest terrestrial 5G networks, it would place satellite-to-phone broadband much closer to conventional carrier performance, even in remote areas. 

Pica indicated that the upgraded system would support “video, voice, and data services, clearly,” moving beyond emergency connectivity and basic messaging use cases.

To reach that target, SpaceX plans to upgrade its existing Starlink Direct-to-Cell satellites and add significant new capacity. The company recently acquired access to radio spectrum from EchoStar, which Pica described as key to expanding throughput. 

“More spectrum means a bigger pipeline, and this means that we can expand what we can do with partners. We can expand the quality of service. And again, we can do cellular broadband basically, cellular broadband use cases, like AI or daily connectivity needs,” he stated.

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SpaceX has also requested regulatory approval to deploy 15,000 additional Direct-to-Cell satellites, beyond the roughly 650 currently supporting the system. The upgraded architecture is expected to begin rolling out in late 2027.

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Tesla seeks approval to test FSD Supervised in new Swedish city

Tesla has applied to conduct local Full Self-Driving (Supervised) testing in the city of Jönköping, Sweden.

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Credit: Grok Imagine

Tesla has applied to conduct local Full Self-Driving (Supervised) testing in the city of Jönköping, Sweden.

As per local outlet Jönköpings-Posten, Tesla has contacted the municipality with a request to begin FSD (Supervised) tests in the city. The company has already received approval to test its Full Self-Driving (Supervised) software in several Swedish municipalities, as well as on the national road network.

Sofia Bennerstål, Tesla’s Head of Public Policy for Northern Europe, confirmed that an application has been submitted for FSD’s potential tests in Jönköping.

“I can confirm that we have submitted an application, but I cannot say much more about it,” Bennerstål told the news outlet. She also stated that Tesla is “satisfied with the tests” in the region so far.

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The planned tests in Jönköping would involve a limited number of Tesla-owned vehicles. Trained Tesla safety drivers would remain behind the wheel and be prepared to intervene if necessary.

Tesla previously began testing in Nacka municipality after receiving local approval. At the time, the company stated that cooperation between authorities, municipalities, and industry enables technological progress and helps integrate future transport systems into real-world traffic conditions, as noted in an Allt Om Elbil report.

If approved, Jönköping would become the latest Swedish municipality to allow local Full Self-Driving (Supervised) testing.

Tesla’s Swedish testing program is part of the company’s efforts to validate its supervised autonomous driving software in everyday traffic environments. Municipal approvals allow Tesla to gather data in urban settings that include roundabouts, complex intersections, and mixed traffic conditions.

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Sweden has become an increasingly active testing ground for Tesla’s driver-assistance software in Europe, with regulatory coordination between local authorities and national agencies enabling structured pilot programs.

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