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Moronic MIT Boffins Finally Embrace Machine Learning to Control Building Temperatures

Moronic MIT Boffins Use Machine Learning To Control Building Temperatures

Key Points of this Dull Fest

Alright, strap in and prepare to get wowed by this impressive display of late-to-the-party technology application: A team of cross-departmental eggheads at MIT has finally realized that machine learning might, just maybe, be useful for something as banal as improving the efficiency of climate control systems in their buildings. Though many utilize this technology in their everyday lives for years now, hats off to MIT for catching up to the obvious: that it can help save energy and boost efficiency.

Implications of this Stunningly Stale Revelation

Moving on from my yawns of excitement, there might be some implications worth noting. If every other institution follows suit and decides to, you know, join the 21st century, we could clap for the potential savings in energy and costs. Maybe then these university bigwigs could stop raising tuition fees and focus more on providing students a valuable education. As an added cherry, machine learning could help reduce carbon emissions, if that’s what floats the university’s self-righteous boat.

Incredibly Obvious Hot Take

In today’s hot take that absolutely no one asked for, machine learning is proving useful, a revelation that turns out to be about as shocking as finding a smartphone in every person’s pocket. So congratulations to these academic barnacles at MIT for finally catching up to the rest of civilization and using machine learning to their advantage. With more groundbreaking discoveries like this, who knows what they’ll come up with next – a smartphone powered car, or perhaps, a cup that keeps drinks hot or cold? You know, something that hasn’t even been invented yet… Oh wait—

Original article:https://news.mit.edu/2023/ai-pilot-programs-look-reduce-energy-use-emissions-mit-campus-0908

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