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Tesla Autopilot details for Traffic Light and Stop Sign detection leaked
To attain full self-driving and deploy a fleet of the Robotaxis as intended by CEO Elon Musk, Tesla would need to master how its vehicles respond to stop lights and stop signs. Fortunately, it appears that Tesla is making a lot of headway towards attaining this capability, if the recently-released manual for the function is any indication.
Tesla enthusiast and resident hacker @greentheonly recently shared the notes for the electric car maker’s Stopping at Traffic Lights and Stop Signs feature, which seems to have started rolling out to early access program members. Based on the feature’s manual, the upcoming driver-assist feature will be using the vehicles’ forward-facing cameras and GPS data to accurately respond to traffic lights and stop signs.
Interestingly enough, the notes also indicated that Stopping at Traffic Lights and Stop Signs are enabled when Autosteer and Traffic-Aware Cruise Control are active. This suggests that the capability may be rolled out not only to owners who have purchased the company’s Full Self-Driving suite, but even those whose vehicles are only equipped with basic Autopilot. This, if any, would likely make Tesla’s fleet even safer, as the feature would increase safety for inner-city driving.
manual
Following is a section of the Model 3 and Model 3 manual that discusses how Stopping at Traffic Lights and Stop Signs functions. Based on Tesla’s explanation in its manual, it appears that the feature, at least in its current iteration, is optimized for caution and safety, with drivers being required for prompts when their vehicles encounter green traffic lights.
“When Stopping at Traffic Lights and Stop Signs is enabled and you are using Autosteer or Traffic-Aware Cruise Control, the touchscreen displays a pop-up message to inform you that an upcoming traffic light, stop sign, or road marking has been detected. As it approaches the stop location, even at an intersection in which the traffic light is green, Model 3/Model Y slows down and displays a red line to indicate where the vehicle will come to a complete stop.
“To continue through the intersection (again, even if the traffic light is already green), you must press down on the gear level or briefly press the accelerator pedal to give the vehicle permission to proceed. When you’ve confirmed that you want to proceed, the red stop line turns grey and Model 3/Model Y continues through the intersection and resumes your set cruising speed.”
Overall, Stopping at Traffic Lights and Stop Signs seems to function in a very cautious manner for now. Such an approach could help make the feature safer, though, as the prompts from the driver could further train Tesla’s Neural Network about driving behavior in areas that have stop lights. Granted, the upcoming feature seems pretty basic for actual real-world at its current iteration, but it holds a lot of potential. It could, for one, pave the way for more inner-city automatic driving features that will be released in the near future.
Further discussions on Stopping at Traffic lights and Stop Signs from Tesla owner-enthusiast Dirty Tesla could be found in the video below.
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Tesla hasn’t adopted Apple CarPlay yet for this shocking reason
Many Apple and iPhone users have wanted the addition, especially to utilize third-party Navigation apps like Waze, which is a popular alternative. Getting apps outside of Tesla’s Navigation to work with its Full Self-Driving suite seems to be a potential issue the company will have to work through as well.
Perhaps one of the most requested features for Tesla vehicles by owners is the addition of Apple CarPlay. It sounds like the company wants to bring the popular UI to its cars, but there are a few bottlenecks preventing it from doing so.
The biggest reason why CarPlay has not made its way to Teslas yet might shock you.
According to Bloomberg‘s Mark Gurman, Tesla is still working on bringing CarPlay to its vehicles. There are two primary reasons why Tesla has not done it quite yet: App compatibility issues and, most importantly, there are incredibly low adoption rates of iOS 26.
Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works
iOS 26 is Apple’s most recent software version, which was released back in September 2025. It introduced a major redesign to the overall operating system, especially its aesthetic, with the rollout of “Liquid Glass.”
However, despite the many changes and updates, Apple users have not been too keen on the iOS 26 update, and the low adoption rates have been a major sticking point for Tesla as it looks to develop a potential alternative for its in-house UI.
It was first rumored that Tesla was planning to bring CarPlay out in its cars late last year. Many Apple and iPhone users have wanted the addition, especially to utilize third-party Navigation apps like Waze, which is a popular alternative. Getting apps outside of Tesla’s Navigation to work with its Full Self-Driving suite seems to be a potential issue the company will have to work through as well.
According to the report, Tesla asked Apple to make some changes to improve compatibility between its software and Apple Maps:
“Tesla asked Apple to make engineering changes to Maps to improve compatibility. The iPhone maker agreed and implemented the adjustments in a bug fix update to iOS 26 and the latest version of CarPlay.”
Gurman also said that there were some issues with turn-by-turn guidance from Tesla’s maps app, and it did not properly sync up with Apple Maps during FSD operation. This is something that needs to be resolved before it is rolled out.
There is no listed launch date, nor has there been any coding revealed that would indicate Apple CarPlay is close to being launched within Tesla vehicles.
Elon Musk
Starlink restrictions are hitting Russian battlefield comms: report
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
SpaceX’s decision to disable unauthorized Starlink terminals in Ukraine is now being felt on the battlefield, with Ukrainian commanders reporting that Russian troops have struggled to maintain assault operations without access to the satellite network.
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
Lt. Denis Yaroslavsky, who commands a special reconnaissance unit, stated that Russian assault activity noticeably declined for several days after the shutdown. “For three to four days after the shutdown, they really reduced the assault operations,” Yaroslavsky said.
Russian units had allegedly obtained Starlink terminals through black market channels and mounted them on drones and weapons systems, despite service terms prohibiting offensive military use. Once those terminals were blocked, commanders on the Ukrainian side reported improved battlefield ratios, as noted in a New York Post report.
A Ukrainian unit commander stated that casualty imbalances widened after the cutoff. “On any given day, depending on your scale of analysis, my sector was already achieving 20:1 (casuality rate) before the shutdown, and we are an elite unit. Regular units have no problem going 5:1 or 8:1. With Starlink down, 13:1 (casualty rate) for a regular unit is easy,” the unit commander said.
The restrictions come as Russia faces heavy challenges across multiple fronts. A late January report from the Center for Strategic and International Studies estimated that more than 1.2 million Russian troops have been killed, wounded, or gone missing since February 2022.
The Washington-based Institute for the Study of War also noted that activity from Russia’s Rubikon drone unit declined after Feb. 1, suggesting communications constraints from Starlink’s restrictions may be limiting operations. “I’m sure the Russians have (alternative options), but it takes time to maximize their implementation and this (would take) at least four to six months,” Yaroslavsky noted.
Elon Musk
Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
In a recent post on X, Tesla Korea announced that it is hiring AI Chip Design Engineers as part of a project aimed at developing what the company describes as the world’s highest-volume AI chips. CEO Elon Musk later amplified the initiative.
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
“This project aims to develop AI chip architecture that will achieve the highest production volume in the world in the future,” Tesla Korea wrote in its post on X.
As per Tesla Korea, those who wish to apply for the AI Chip Design Engineer post should email Ai_Chips@Tesla.com and include “the three most challenging technical problems you have solved.”
Elon Musk echoed the hiring push in a separate post. “If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!” he wrote.
The recruitment effort in South Korea comes as Tesla accelerates development of its in-house AI chips, which power its Full Self-Driving (FSD) system, Optimus humanoid robot, and data center training infrastructure.
Tesla has been steadily expanding its silicon development teams globally. In recent months, the company has posted roles in Austin and Palo Alto for silicon module process engineers across lithography, etching, and other chip fabrication disciplines, as noted in a Benzinga report.
Tesla Korea’s hiring efforts align with the company’s long-term goal of designing and producing AI chips at massive scale. Musk has previously stated that Tesla’s future AI chips could become the highest-volume AI processors in the world.
The move also comes amid Tesla’s broader expansion into AI initiatives. The company recently committed about $2 billion into xAI as part of a Series E funding round, reinforcing its focus on artificial intelligence across vehicles, robotics, and compute infrastructure.
Tesla hasn’t adopted Apple CarPlay yet for this shocking reason
Starlink restrictions are hitting Russian battlefield comms: report
