Google Maps Can Now Plan EV Road Trips With Charging Stops via Android Auto


A Google Maps update unveiled Monday aims to streamline long-range electric vehicle road trips for Android Auto users. The navigation and mapping software can now automatically suggest charging stops when planning longer journeys in EVs, with more accurate arrival time and state-of-charge estimates based on how long its AI-powered routing algorithm thinks you’ll need to plug in. Google says it has compatibility with EVs from 16 automakers — comprising over 350 models and trim levels — in the US.

Route-planning software has gotten significantly more sophisticated since the early days of electric motoring. Back in the day, going on an EV road trip required multiple mapping and EV charging network apps and careful planning to ensure you got where you were going. Even for those of us who knew what we were doing, it could be very stressful. 

Today, nearly all modern EVs feature connected navigation that automatically suggests charging stops (often with live station availability) when planning routes longer than the vehicle’s cruising range. Google Maps’ new EV route planning function brings some of that new EV convenience to older models and to drivers who prefer the Google Maps and Android Auto ecosystem to their vehicle’s onboard software. 

Google Maps can use AI to estimate where and for how long you’ll need to charge when planning a long EV trip.

Google

To get the new EV route planning, go to the Google Maps app on your phone, find the settings and set your vehicle type to “Electric.” Then add the year, make, model and trim and confirm what type of plug your EV uses (NACS, CCS, J1772, etc.) Now, when planning a long route via Android Auto in your car, Google Maps (version 25.44 and up) will display the estimated battery usage for your trip, recommended charging stops (if any), charge time estimates, and the estimated time and battery percentage on arrival. 

Unlike vehicles with “Google Built-in” — such as Volvo EVsPolestar EVs, and GM models like the Blazer EV and Equinox EV — phone-based Android Auto is currently unable to automatically pull live battery information from most cars. Instead, you’ll be asked to manually input your current battery percentage before starting a trip. Google will use that number along with the EV’s weight, battery size and EPA range, real-time traffic information, road elevation changes and weather data to deliver “accurate AI-powered predictions” for the route chosen.

Because phone-based Android Auto can’t pull live battery data from the host car, you’ll have to input (and update) your starting battery percentage before taking off.

Google

However, that means Maps may not automatically update that estimate if your car doesn’t perform like its AI model predicts. For example, if a heavier-than-average payload, additional equipment like a roof rack or trailer or under-inflated tires are dramatically reducing your efficiency, Android Auto and Google Maps may be blind to your range dropping faster than expected. As the saying goes, your mileage may (nay, it will almost certainly) vary, so I’d advise you to keep a close eye on your range.

Still, this new automatic charge plan generation sounds like a promising tool to boost convenience and reduce range anxiety at the beginning of a long journey. Being able to hop into an EV and hit the road with confidence is pretty sweet, especially for owners of older EVs who don’t have access to onboard software for this sort of dynamic route planning. 

You can check Google’s site (or the settings page in the most recent Google Maps app) to see if your EV is among the 16 makes and 350-plus models and trim levels supported.





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A new class-action lawsuit, filed on Monday by three teenage girls and their guardians, alleges that Elon Musk’s xAI created and distributed child sexual abuse material featuring their faces and likenesses with its Grok AI tech.

“Their lives have been shattered by the devastating loss of privacy, dignity, and personal safety that the production and dissemination of this CSAM have caused,” the filing says. “xAI’s financial gain through the increased use of its image- and video-making product came at their expense and well-being.”

From December to early January, Grok allowed many AI and X social media users to create AI-generated nonconsensual intimate images, sometimes known as deepfake porn. Reports estimate that Grok users made 4.4 million “undressed” or “nudified” images, 41% of the total number of images created, over a period of nine days. 

X, xAI and its safety and child safety divisions did not immediately respond to a request for comment.

The wave of “undressed” images stirred outrage around the world. The European Commission quickly launched an investigation, while Malaysia and Indonesia banned X within their borders. Some US government representatives called on Apple and Google to remove the app from their app stores for violating their policies, but no federal investigation into X or xAI has been opened. A similar, separate class-action lawsuit was filed (PDF) by a South Carolina woman in late January.

The dehumanizing trend highlighted just how capable modern AI image tools are at creating content that seems realistic. The new complaint compares Grok’s self-proclaimed “spicy AI” generation to the “dark arts” with its ease of subjecting children to “any pose, however sick, however fetishized, however unlawful.”

“To the viewer, the resulting video appears entirely real. For the child, her identifying features will now forever be attached to a video depicting her own child sexual abuse,” the complaint reads.

AI Atlas

The complaint says xAI is at fault because it did not employ industry-standard guardrails that would prevent abusers from making this content. It says xAI licensed use of its tech to third-party companies abroad, which sold subscriptions that led abusers to make child sexual abuse images featuring the faces and likenesses of the victims. The requests ran through xAI’s servers, which makes the company liable, the complaint argues.

The lawsuit was filed by three Jane Does, pseudonyms given to the teens to protect their identities. Jane Doe 1 was first alerted to the fact that abusive, AI-generated sexual material of her was circulating on the web by an anonymous Instagram message in early December. The filing says she was told about a Discord server by the anonymous Instagram user, where the material was shared. That led Jane Doe 1 and her family, and eventually law enforcement, to find and arrest one perpetrator.

Ongoing investigations led the families of Jane Does 2 and 3 to learn their children’s images had been transformed with xAI tech into abusive material.





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