I like Ed, but not a fan of this style of teasing. Reminds me of conspiracy theory communities. We’ll see what he has I guess.

I dunno, seems like an honest editing mistake that is actually more likely to be human than AI generated. Probably should read “In particular in the last six months, but two things have changed dramatically over the last twelve months.”

Not to diminish your frustration, but the scary thing about this is that it’s happening in the workplace by professionals on a daily basis now. People have absolutely just surrendered all of their thinking abilities. What an absurd world. I wish I could be more certain about the bubble bursting, but we may have to live with the AI overview zombies for a while.

I agree. The political stupidity in the US basically forced us into a two-party election where the country was forced to choose between two evils and Carney looked like a reasonable savior at the time. We sacrificed NDP representation to save ourselves from Trump. Carney quickly abandoned any resemblance of environmental concern in the name of economic growth and sovereignty. The same is happening with AI now, where he’s playing to the hype and business interests. Except AI is largely a grift and this strategy will do more harm than good.

people are afraid of losing their jobs to AI.

Nah, it’s more like they’re pissed their bosses will attempt to replace their jobs with AI that can’t actually do their job, and instead shift that work onto the remaining employees. It’s AI-washing to hide cost-cutting.

global Beef production uses around 200 times more fresh water than Global Data Centers

Whataboutism. We’re not the ones using shitty fallacies as arguments. Fuck beef consumption too.

https://www.techradar.com/pro/security/i-sat-down-with-two-cooling-experts-to-find-out-what-ais-biggest-problem-is-in-the-data-center

Water cooling can be done in a smaller space with less power, but it requires enormous amount of water. A recent study determined that a single hyper-scaled facility would need 1.5 million liters of water per day to provide cooling and humidification.
AI is typically deployed in 20-30 cabinet clusters at or above 40 KW per cabinet. This represents a fourfold increase in KW/cabinet with the deployment of AI. The difference is staggering.

reasonable jurisdictions like British Columbia in Canada
They’re also not building the damn things right next to millions of residential homes

https://www.cbc.ca/news/canada/british-columbia/protest-against-ai-data-centres-in-vancouver-9.7210309

Hundreds of people marched through Vancouver on Saturday to protest two planned AI data centres in the city, raising concerns about the amount of water and energy such facilities can use as the region faces tighter water restrictions.
The project has the backing of the B.C. government
The City of Vancouver is also throwing its support behind the proposal
The protest comes as Metro Vancouver remains under Stage 2 water restrictions, which bans lawn watering, and prepares for the likely move to Stage 3 restrictions sometime in June.
“I think this is an incredibly inefficient use of land, both in the heart of downtown Vancouver and Mount Pleasant”

The noise thing is… nothing.

https://mississippitoday.org/2025/11/24/southaven-residents-fear-pollution-complain-of-noise-from-elon-musks-xai-data-center-turbines/

Jason Haley, who’s lived in his Southaven home for the last two decades, in August started to hear a whirring, mechanical noise from outside that sounded like a leaf blower.
The noise would go on for days at a time and through the night, he told Mississippi Today. He soon realized the sounds were coming from a cluster of natural gas turbines about a half mile away.
Over the summer, billionaire Elon Musk’s artificial intelligence company set up shop in north Mississippi, erecting dozens of turbines on the site of a former power plant to fuel two data centers just up the road in Memphis.

I’m going to have to start using a browser extension to label trolls like the reddit days.

Yeah, their title is dumb, but they do actually touch on some of that in the article.

The two of you are using the word “generalist” differently. You don’t need your tool-using language model to be able to wax poetic about ancient egyptian burial practices. That’s why ChatGPT will become useless. It’s too large and expensive to continue running without subsidies, and it’s too useless for serious tasks. You can get away with a small local model that knows nothing about ancient egypt if all you need is to translate natural language into tool calls.

Not sure where /u/Canaconda got that text from, but the official release on their website does not mention “female workers”. https://www.ndp.ca/news/ndp-reaction-liberal-government-ai-strategy

Fortunately, I don’t think the judge will ask them to do that.

https://brockovichdatacenter.com/#map-section

I don’t understand this form factor. It’s too small for any serious work, both in terms of screen size and typing, and it’s too big to fit in your pocket. So you might as well carry a small laptop around, since it would actually be usable. Feels like a novelty that is just meant to satisfy a cyberpunk aesthetic, if you’ve got the money to burn on something that you’ll probably only use a few times, or occasionally at best.

If you go through with sterilisation then allow yourself to check out, please.

What the fuck?

With high-density computing, like the data centers that run artificial intelligence, comes immense heat that cannot be cooled with a conventional air-cooling system.

The typical cabinet loads have doubled and tripled with the deployment of AI. An air-cooling system simply cannot capture the heat generated by the high KW/cabinet loads generated by AI cabinet clusters.

Water cooling can be done in a smaller space with less power, but it requires enormous amount of water. A recent study determined that a single hyper-scaled facility would need 1.5 million liters of water per day to provide cooling and humidification.

AI is typically deployed in 20-30 cabinet clusters at or above 40 KW per cabinet. This represents a fourfold increase in KW/cabinet with the deployment of AI. The difference is staggering.

A typical Chat-GPT query uses about 10 times more energy than a Google search – and that’s just for a basic generative AI function. More advanced queries require substantially more power

https://www.techradar.com/pro/security/i-sat-down-with-two-cooling-experts-to-find-out-what-ais-biggest-problem-is-in-the-data-center

Season 4 Episode 23 https://en.wikipedia.org/wiki/Living_Witness

There are no details because the companies won’t share them, and the government won’t ask for them until after they are built.

In order for data centres to deliver on their promise to provide virtually continuous service, they must be able to operate under any circumstances. This means ensuring they have redundant backup power requirements to weather blackouts or any other power interruption.

Backup power for these facilities almost always means diesel generators — sometimes hundreds of them. For a 100-megawatt facility like the one proposed in downtown Vancouver, this could mean anywhere between 25 and 50 diesel generators on site, depending on their size. Diesel generators are notoriously dirty, emitting fine particulate matter associated with a host of health and breathing problems. It’s why diesel generation is often strictly regulated.

However, as electricity grids strain under demands, the pressure to switch to diesel generation at the slightest hint of a potential energy disruption has been growing. Placing that many generators directly in the middle of the urban core could be a major public health issue. Due to these challenges, the state of Virginia — home to the largest concentration of data centres in the world — concluded that the “industrial scale of data centres makes them largely incompatible with residential uses.”

https://thetyee.ca/Opinion/2026/05/18/Vancouver-Getting-AI-Data-Centres/

My guess is just time, money or resources. It seems this was an online course with students spread out, so the only options are to do a remote online proctored exam, using a third-party service that monitors your computer, or arrange individual invigilated in-person exams at a local venue for each student. The university may not be set up to do either of those, and I guess AI introduces a whole new level of cheating that they weren’t prepared for.

I just wanted to avoid linking directly to LinkedIn, since I think people would rather avoid visiting it for various reasons. I prefer linking to archives though, since copy-pasting feels more like theft of someone else’s content. At least the archive maintains the original context and authorship. Wikipedia basically uses archive.org as their main archive, so I don’t think a lemmy post will affect their load.

Yeah, it’s wild to me that a professor would trust their students to do this online without any proctoring in any age. I can understand why he might not have wanted to use proctoring software, if they are easily circumvented. I guess the correct option – in-person proctoring via contracted companies, is just too resource-intensive.

The main difference is still AI though. Even if students cheated in the past, they would have had to flip through their textbook or their notes, and know where to find the answer, then put it in their own words. Now they don’t even have to do that small amount of work to cheat.

It’s nuts to think that these are 3rd year health-science undergrads who will soon be out there in the world having only learned an over-reliance on AI.

Thank you.

You almost always have nano or pico available, so it’s really unlikely that you’d get stuck with nothing but vim, unless you just didn’t know that nano existed.