I’ve always hated AI. It’s too stupid, misogynistic, racist, energy/water wasting, polluting, dishonest, mistake-laden and invasive.
Now, it’s fucking everywhere.
I figured out how to “forever” turn it off when I do Internet searches (easy), but, the damned AI contagion returns every time I reboot my computer. Annoying (I expect intentional). So far, I haven’t figured out how to make stay away “forever” as claimed by the stupid fucking bot.
Also, to my great chagrin, the AIO AEO plugin on my website added AI to an update, without notification and without asking my permission first. Infuriating. It tries to trick you into making media via AI (all AI made media is disgustingly vulgar, too dishonest and low class to my eyes; it makes ugly old wrinkled politicos like Trump young, beautiful and wrinkle free) instead of using your own files. In my view, that’s trespassing by greedy fucking technos. I wasted many hours trying to remove it. Nothing worked, except disabling the AI-contaminated plugin.
@Els_42:
in case you are unaware of how bad climate change is. we’re so fucking cooked all because western governments would rather bomb arab children and deregulate the entire tech sector than ensure the world is livable by fucking 2040
@andrewgarton.bsky.social:
Peak insanity.
USAFRet:
All to provide a “service” that few have asked for.
davidgerard.co.uk:
and you thought bitcoin mines were unpleasant to live near
Data centers turn to commercial aircraft jet engines bolted onto trailers as AI power crunch bites — cast-off turbines generate up to 48 MW of electricity apiece by Luke James, Oct 21, 2025
With AI buildouts outpacing the grid, data centers are rolling in jet-powered turbines to keep their clusters online.
(Image credit: ProEnergy)
Faced with multi-year delays to secure grid power, US data center operators are deploying aeroderivative gas turbines — effectively retired commercial aircraft engines bolted into trailers — to keep AI infrastructure online.
According toIEEE Spectrum, facilities in Texas are already spinning up units based on General Electric’s CF6-80C2 and LM6000, the same turbine cores once found on 767s and Airbus A310s. Vendors like ProEnergy and Mitsubishi Power have turned these into modular, fast-start generators capable of delivering 48 megawatts apiece, enough to support a large AI cluster while utility-scale infrastructure lags.
Fast, loud, and anything but elegant, these “bridging power” units come from vendors like ProEnergy, which offers trailerized turbines built around ex-aviation cores that can spin up in minutes to meet energy demand. Meanwhile, Mitsubishi Power’s FT8 MOBILEPAC, which derives from Pratt & Whitney jet engines, delivers a similar output in a self-contained footprint designed for fast deployment.
- U.S. AI boom is completely upending the electricity market
- xAI’s new gas turbine facility gets halfway to Elon Musk’s 1-gigawatt ‘AI factory’ goal
- AI data center boom sends some wholesale electricity prices soaring up to 267% in five years, says report
While this might not be the cheapest, and certainly not the cleanest, way to power racks, it’s a viable stopgap for companies racing to hit AI milestones while local substations and modular nuclear power deployments remain years away.
Jet-derived turbines are nothing new. They’ve been used in military and offshore drilling operations for decades, but this is the first time they’ve appeared in any meaningful way at data center sites. That speaks volumes about just how tight power supplies in the U.S. have become.
In one of the more visible examples, OpenAI’s parent group is deploying nearly 30 LM2500XPRESS units at a facility near Abilene, Texas, as part of its multi-billion-dollar Stargate project. Each unit spins up to 34 megawatts, fast enough to cold-start servers in under ten minutes.
What they gain in fast deployment and ramp speed, they lose in thermal efficiency. Aeroderivative turbines run in simple-cycle mode, burning fuel without capturing waste heat, which puts them well below the efficiency of combined-cycle plants. Most run on diesel or gas delivered by truck, and require selective catalytic reduction to meet NOx limits.
Still, it’s not difficult to see the appeal. Even a small AI buildout can demand 100 megawatts or more, and with some utilities quoting lead times of five years or more, we should expect to see more stopgap power generation being implemented to meet burgeoning AI power demands.
Police swarmed student after AI system mistook bag of chips for gun, officials say by Khiree Stewart, WBAL via CNN Newsource, Oct. 24, 2025
BALTIMORE COUNTY, Md. (WBAL) – An artificial intelligence security detector led to a terrifying moment for a Maryland high school student after an empty chip bag stuffed in his pocket set off an alert that dispatched police.
“It was a scary situation. It’s nothing I’ve been through before,” Taki Allen said.
On Monday at around 7 p.m., Allen says he was sitting outside of Kenwood High School in Baltimore County waiting for his ride after football practice.
While waiting with his friends, Allen says he ate a bag of Doritos, crumpled up the bag and put it in his pocket.
What happened next caught him completely off guard.
“Twenty minutes later, it was like eight cop cars that came pulling up to us.” Allen remembered. “At first, I didn’t know where they was going until they started walking towards me with guns, talking about, ‘Get on the ground.’ I was like, ‘What?’ And made get on my knees and then put my hands behind my back and cuffed me, and then they searched me and they figured out I didn’t have nothing. Then they went over there to where I was standing, found a bag of chips on the floor.”
Allen asked why officers approached him.
“They said that an AI detector or something detected that I had a gun. He showed me a picture. I was just holding a Doritos bag like this,” Allen described. “It was two hands in, one hand out and one finger out, and they said it looked like a gun.”
Last year, Baltimore County high schools started using a gun detection system that uses artificial intelligence to help detect potential weapons by tapping into existing school cameras.
The system can identify a possible weapon and then send an alert to the school safety team and law enforcement.
Allen’s grandfather says that he’s not only upset about the situation, but also the response.
“Nobody would want this to happen to their child,” Lamont Davis said. “No one, no one wants this to happen to their child.”
Baltimore County police officials provided a letter from the principal that was sent to parents. It says, in part, “At approximately 7 p.m., school administration received an alert that an individual on school grounds may have been in possession of a weapon. The Department of School Safety and Security quickly reviewed and canceled the initial alert after confirming there was no weapon.”
The company behind the AI gun detection technology is called Omnilert.
Omnilert doesn’t comment on internal school procedures.
The school system says counseling is being offered to the students involved.
Copyright 2025 WBAL via CNN Newsource. All rights reserved.