At this point, it’s a pretty well known fact that electric vehicles — and, at least in the popular imagination, Teslas especially — have a nagging habit of erupting into flames.

One Tesla owner in Maine evidently has that concern hovering in the back of their mind every time they leave the driveway.

While driving around the town of Tremont in a sleek red Model S, an unnamed driver hit an object on the road which punctured the vehicle’s lithium-ion battery, local station WABI5 reported. As most EV drivers are hopefully aware, any kind of damage to a car’s battery can easily spark a fire fueled by thermal runaway, resulting in a uniquely dangerous inferno that can be difficult to put out.

Luckily, this driver kept their head, driving straight to the Tremont fire station where the high-voltage battery immediately burst into flames, Bangor Daily News reported.

With help from the nearby Southwest Harbor Fire Department, the crew of the Tremont Volunteer Fire Department sprang into action, shutting down the road and dousing the Tesla using an arsenal of firehoses.

Based on photos of the incident, it seems the Tesla was totaled, but the driver is said to be doing alright.

The Tremont fire comes just days after an exploding Tesla in Seattle sent two firefighters to the hospital. That particular EV was parked inside an attached garage at the time, resulting in a two-alarm housefire that displaced an unfortunate family.

All told, if you drive an EV, it’s probably smart to have the address of the nearest fire department drilled into your head — especially if it’s a Tesla.

More on Tesla: It’s Looking Like the Cybertruck Is the Biggest Flop in Automotive History

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For protestors rising up against the data centers undergirding the AI boom, the math is simple: wherever they sprout, the facilities make frightfully poor neighbors — inflating utility prices, discharging hazardous waste, and blasting horrid noise at all hours of the night.

For data center developers, there’s a different calculation to be made: namely, one of supply and demand around the seemingly infinite drive for computing power.

Against the backdrop of an industry measured in the trillions of dollars, a few scattered protests at city hall may seem inconsequential. Yet as more and more local campaigns arise in opposition to data centers, the collective financial implications are becoming impossible to ignore.

According to new reporting by Reuters, which indexed data compiled by the research firm Data Center Watch, there are now hundreds of billions of dollars exposed to the growing risk of local opposition.

In the first three months of 2026 alone, at least 75 separate data center projects faced some kind of organized opposition at the local level. Together, those 75 developments represent a combined $130 billion worth of investments.

The funders of those data centers include major banks, but also more than a few private equity firms, which are sure to notice as the social risk to their data center investments climb.

Simply put, the potential that any given data center could be cancelled due to local opposition is rising, a sign that organized efforts against data centers are becoming more than the sum of their parts.

Yet despite growing costs, opposition alone may not be enough to slow the behemoth industry. As one anonymous senior official at a foreign lending firm told Reuters, investors are now becoming more comfortable pricing in cancellation risks as the demand for AI compute grows — like frogs adjusting to boiling water.

More on data centers: Google Data Center Announces Plans to Pave Over Protected Wetlands

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Bad news for anyone seeking a job in this AI-infested hiring hellscape: not even Google’s top AI lab can figure it out.

That’s according to an HR memo viewed by Bloomberg, encouraging job-seekers to fill out a special AI-proof form on top of their standard application so that a “real human” will know they applied.

The document, which contains the delicious disclaimer “PLEASE DO NOT SHARE THIS DOC WIDELY,” is ironically the product of Google DeepMind’s AGI Safety and Alignment Team. Taken at face value, it pretty blatantly admits that whatever AI-integrated hiring software the lab uses to review candidates has been dumping CVs straight into the garbage.

“We have an applications system with a non-trivial probability your CV will be screened out incorrectly or take too long to reach us,” the memo explains. “Filling out this form makes sure that a real human on the team will get to see your application.”

Even in the face of the memo, a spokesperson for Google’s DeepMind project insisted to Bloomberg that the company’s AI hiring software is working just fine.

“This team set up a special form to go past the recruiter review, and get their resumes direct to the people on the team,” the spokesperson said. “But there are no shortcuts to getting hired.”

All told, it’s a wild admission from any Google division, not to mention its flagship AI research hub. For the DeepMind crew, specifically, to throw up their hands and invent a workaround to sneak past the company’s own AI hiring software is galling beyond words.

It’s safe to say AI slop has completely obliterated the digital hiring ecosystem millions depend on to find work — and if Google’s top AI minds can’t fix it, what hope do the rest of us have?

More on Google: Google’s AI Is Telling Users That Flock Cameras Are Filled With Valuable Gold and Copper

The post Internal Google Document Reveals That Its HR AI Has Been Throwing Résumés From Qualified Applicants Straight Into the Trash appeared first on Futurism.

Whether you’re looking for medical advice or tips on industrial agriculture, one thing is abundantly clear: never trust an AI chatbot without first getting a second opinion, preferably from a human who has actual expertise in the topic.

That’s the takeaway from an incident in the small city of Chuzhou, China, after a large langue model dispensed some advice that led to the untimely death of 25 acres worth of produce.

According to the Taiwanese publication CTWANT, a 67-year-old farmer surnamed Wu decided to start consulting an AI chatbot for advice nearly a year ago. He was reportedly skeptical at first, though the farmer began to let his guard down after some early successes with the AI’s farming tips.

Since that time, Wu has come to rely on his LLM for everything from fertilizing guidance to scheduling various tasks around the farm. After months of fruitful consultations, he decided to follow his AI chatbot’s new pesticide plan to the letter, letting loose on some 25 acres of precious sesame seedlings, all without ever double-checking with an expert or outside documentation.

The plan generated for him was basically a Long Island ice tea of agro-chemicals: a mix of “high-efficiency flupyridine” and “flufenazate” for pesky weeds, with plenty of “thiamethoxam” and “emamectin benzoate” for bugs and other pests, CT reported.

Not even a day after treatment, Wu says his juvenile sesame crop began to wither and die.

Per a video interview later translated by Tom’s Hardware, the farmer offered some hard-earned advice to any other growers looking to use his concoction: “If you spray it, the next day the seedlings won’t survive.”

“Both the grass and the seedlings will die, and the seedlings will die even faster,” Wu lamented.

It’s just the latest case of an LLM cooking up some slop that lands a professional in hot water. If nothing else, Wu’s in good company: he joins a host of other dupes across the legal, medical, financial, education, and media industries who’ve likewise fallen prey to an AI chatbot’s inaccurate output.

More on farms: The Diarrhea Lettuce Company Has Been Linked to Forced Labor

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