Not an engineer but vinegar (ascetic acid) at full strength applied early enough during curing could be a problem. If it’s the watered down stuff for home use and the concrete was already partially cured it wouldn’t do almost anything.

So does every city, suburb, town, factory, mine, processing plant, farm, etc.

That’s hardly a datacenter specific issue.

I’m running Qwen 3.6 35B A3B (the MoE model) on an 8GB Vram Nvidia GPU with 32 GB of ram, with tweaking (and Turboquant) I’ve got it up to 30-40 Tokens per second and a 260k Context. It’s very usable. I’ve seen people report success with Dual 3060 Cards, but you’re still talking $1000-1500 for that kind of setup even if you have parts of it already.

A medicine dispenser application for a nurse is still just CRUD operations for the most part. There’s nothing innovative about how the code would be written in an application like that.

You’re both correct, and also wrong.

A lot of code already exists. Or at least in a close enough form that it can be easily adjusted to address a new situation.

When someone comes up with an idea for a new App at this point, it’s almost never because it’s an entirely new branch of computing. It’s very likely just CRUD with a visual design, and then a small more complex algorithm to mix the data around behind the scenes.

What’s the difference between a dating app and an automatic meal plan builder? The algorithm doesn’t care about whether or not the recipe swiped back when it matches it up to you.

You’re right that they’re not going to be inventing entirely new things most of the time, that’s just not what’s needed of them most of the time.

They are making money, don’t confuse a lack of profit because of reinvest for failure. Amazon “lost” money for almost a decade.

Not every company needs to succeed either. Plenty of dead companies from the dot com bubble bursting, yet digital companies are more profitable than ever.

You clearly didn’t read the data. It wouldn’t matter if google was using 10x more. The difference between billions and quadrillions is literally a million times.

You’re doing the same shit on 100 different technologies that existed before LLMs but only this is a step too far?

Use your critical thinking skills.

Nah, these data centers are not even worth talking about being bad for the environment compared to almost everything else we do. Trying to use that as a primary focus here is just people looking for an excuse to hate the technology.

https://bryantresearch.co.uk/insight-items/comparing-water-footprint-ai/

Here’s a beautiful article comparing the AI industry to Cattle farming. AI data center water use is measured in tens Billions of liters, while the beef industry is measured in Quadrillions.

You already shot down your own IP argument, I don’t need to help you there. AI companies don’t disproportionately steal from small creators, They may have done more of that in the first few iterations, but the datasets simply don’t do that anymore. There’s no need, they can train it on clean data, then just pull live from the web for specifics now.

I am dripping condescension because it’s fucking stupid. There are plenty of horrible things happening in the world today, AI datacenters are so far down the list that they do not deserve the amount of effort people are putting in to hate them while far more significant things go un-recognized. The reason for this? Because people are being misled, and instead of figuring out things themselves they take the shit they read at face value.

When I see people begin their Anti-AI arguements with “it’s bad for the environment” I tune out completely. These motherfuckers have been driving gasoline powered vehicles around for decades, and are totally fine with natural gas fired power plants.

Fuck off.

Theft of ideas and IP?

Buddy, do you not fucking understand how society has improved over the last 10 thousand years? We even have a saying for it, “standing on the shoulders of giants” which as a saying/concept has been around for about the last 800 fucking years, and was made or remembered famously from Issac Newton in 1675.

If we didn’t use the ideas and learning from those that came before us, we’d still be living in caves.

Do you know what’s more recent than that saying? The entire concept of Intellectual property. Which has only been around a bit more than 500 years.

Buddy is complaining about giving money to large companies, then you look at their linked in profile and see a job history that includes Dropbox, Scribe, and a for-profit healthcare company.

which can be heard for hundreds of feet around them

From that linked article.

Hundreds of feet!

They aren’t building these 50 feet from residential properties. I don’t think this is an actual issue.

Watermarks for AI content is a non-starter, there’s no possible way to enforce this. Pandora’s box has been opened, and even if you mandated all the big AI companies do it, the open source models that exist (or will be developed) will be available to bypass it.

Nothing wrong with charging actual costs for electricity or expanding the grid with renewables. These are actually relevant ideas.

Noise pollution? I haven’t heard that one before. As long as the data centers aren’t running generators, the noise from them should be lower than almost any other industrial user.

If you think that isn’t factored in, you aren’t paying attention to how traders work.

The term agent is very broad. It encompasses all sorts of levels of function. Claude code runs when you give it instructions, and it will keep running until it finishes those instructions but then it stops.

A persistent agent would find a new task. Even if the user didn’t explicitly tell it to work on that.

Rag was never supposed to be about learning over time. It was supposed to provide better context at inference. It could never scale to handle new learning beyond focused concepts.

Eliminating programmers will be possible when we figure out how to eliminate engineers in designing buildings.

Only a true AGI will be able to do that, and while LLMs feel like a step towards AGI, they are still missing the critical ongoing learning component that needs to happen for an AGI to exist. The way the current systems are trained simply doesn’t allow for accepting and adopting new information continuously.

The whole point of the drug is it increases how fast and long you feel full, the moment you stop taking it that’s going to come back again. It doesn’t somehow permanently alter you. If it did, you wouldn’t have to take it every week.

I don’t see how people are confused about this. If you were overeating before, you’re likely going to go back to exactly the same pattern.

Nothing is stopping it, it’s just not particularly convenient because it’s designed around the limitations of the phone system.

SIP could handle it all if you wanted though.

Then then answer to your question is yes, you interpreted it incorrectly. The original (and common) definition of that word is vastly different than what you assumed.

Do you know what a semaphore is?

Quite literally designed for long distance communication.

Used extensively in many different variations before wire/electricity based systems became available, then even used after that for communication in places where you couldn’t have a wire (like between boats)