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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.

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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.

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 Cybercabs narrowly miss deadly Amazon cargo plane crash

An Amazon cargo plane crash near Miami’s airport stopped feet from dozens of Tesla Cybercabs.

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Photorealistic depiction of the Amazon Prime plane crash in Miami on Sep 3, 2026 near a fleet of Tesla Cybercab
Photorealistic depiction of the Amazon Prime plane crash in Miami on Sep 3, 2026 near a fleet of Tesla Cybercab

An Amazon Prime Air Boeing 767 cargo jet overran the runway at Miami International Airport on Sunday afternoon, killing five people and injuring five more. The jet, operated by North Carolina based carrier 21 Air as Flight 7598, touched down around 2 p.m. after arriving from San Juan, Puerto Rico, then crossed the airport perimeter, plowed across NW 67th Avenue and struck multiple vehicles before catching fire, according to the Associated Press.

Photos and video from the scene show the aircraft’s nose stopped within meters of a fenced staging lot holding dozens of gold painted Tesla Cybercabs, the steering wheel free robotaxi Tesla began putting on public roads in Austin last week. Miami-Dade Fire Rescue has confirmed the plane struck “multiple vehicles” but has not said whether any Cybercabs were among them, and neither Tesla nor airport officials have addressed the fleet directly.

The Cybercabs had not yet entered commercial service in Miami. Tesla’s existing Robotaxi operation there runs on modified Model Y vehicles and has been unsupervised since Ashok Elluswamy confirmed the detail on X in July.


Elon Musk offered the briefest of reactions. Replying to a Zero Hedge post about the Cybercabs sitting so close to the wreckage, he wrote a single word: “Weird.” He has not commented further, and Tesla has not issued a statement.

The timing puts Tesla’s newest vehicle near an unrelated but highly visible tragedy just days after its Austin debut, a launch that had already drawn scrutiny from federal regulators. The National Highway Traffic Safety Administration opened an audit how Tesla certified the Cybercab as compliant with federal vehicle safety standards, a process Teslarati covered after the vehicle’s September 3 launch event. That inquiry concerns the car’s lack of a steering wheel and pedals, not the Miami crash.

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Investigators from the FAA and NTSB are focused on the plane, not the parking lot beside it. Flight data reviewed by outlets including Simple Flying show the 767 touched down around 170 knots, well above the 135 to 140 knot range typical for the aircraft, though investigators have not determined a cause. Amazon said it is working with authorities and that its priority is the safety of everyone affected.

Whether any Cybercabs were damaged, and what Tesla plans for the fleet parked near one of the country’s busiest airports, remain open questions.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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