Some important context here:

QTS told Politico the 29 million gallons were consumed during temporary construction activities, including concrete work, dust control, and site preparation. The company markets a “closed-loop” cooling system for its data centers, which recirculates the same water rather than drawing from the municipal supply.

Thanks, looks like I was wrong. I looked into the evaporative cooling. It looks like this kicks in if it’s hot outside, otherwise the cooling units operate in a “dry” mode.

Although, none of that is directly heating up a lake, it looks like the water just flows into something like an A/C unit. Are there datacenters that are piping heat directly into lakes?

THE KICKER that’s just to run the data center, think of the demand for the HVAC and ecological damage to using a lake’s water to cool equipment (water would be coming out over 100⁰F).

I keep seeing this on Lemmy, but why do so many people think that these datacenters are using water from reservoirs for “cooling”?

Datacenters use A/C for cooling, and if there’s any sort of “Liquid cooling” being used on these servers, it’s in a closed loop system.

Water isn’t being pumped out as steam or into the environment directly from datacenters, unless there’s some other method I’m missing here?

What I think is getting mixed up here is that, for many forms of generating electricity, water is needed to be heated up in some way to create steam. The steam then turns a turbine which moves some magnets to generate electricity.

Some of those powerplants are in closed loop systems with their water, some of them are not. Additionally, if the energy is coming from solar/wind/hydro then there shouldn’t be any concerns about water getting turned into steam anyway.

Technically, you can get the same answer twice from an LLM, but only when you control the full input. When a model is being run, a random seed/hash is applied to the input. If you run the model locally you could force the seed to always be the same so that you would always get the same answer for a given question.

I’m failing to see why the creative writing machine is better than a simulation set to ‘rough’.

This doesn’t sound like they are using LLMs for processing their 3D models. The way it’s described in the article sounds a lot more like some machine learning model trained on physics simulations for aerodynamics.

Misleading title. This isn’t an “AI Company”. As far as I can tell, it’s some scammer that used AI Tools to create similar music and then copyright strike the original artist to steal their revenue.

The major issue here is how YouTube handles these claims. From the article:

YouTube’s dispute process places enormous trust in whoever files the claim, with little built-in protection for independent artists who lack legal resources.

This isn’t something new and was already being done before AI tools were available.