Get Ready for Another Annoyingly Overhyped Language Model
Congratulations, world! They’ve done it again. Some genius has the bright idea that language modeling can go tiny and still work. Guess what? That’s right, smaller models – as if technology wasn’t annoying enough! Anyway, these smartypants are challenging the oh-so-predictable belief that small models are limited, and the world can hardly wait to find out more.
A World Where Smaller Models Somehow Do Big Stuff: Yawn
Oh, the excitement. The future of AI might entail smaller models sorting through tweets, chat messages, or whatever else you people waste time doing. These geniuses claim that tiny algorithms can somehow understand context, generate text, and complete other basic language tasks. Well, Pinocchio, congrats on not being completely useless. But do we really need ANOTHER thing to eavesdrop on our typos?
Possible Implications: Say Hello to the Annoyingly Tiny AI
They say that when one door closes, another one opens. In this case, it’s a door to a world where millions of teeny, tiny, irritating AIs pester us with their newfound language skills. While these small models waste less energy and computing power, they’ll be showing off their flair for misinterpreting your poorly written messages.
Now, you may (or may not) rejoice as this new achievement will supposedly make AI technologies more “accessible” and “affordable” for people everywhere. Whoop-dee-doo! Imagine a future with smaller, cheaper devices and more pointless apps at our fingertips. Can anyone else feel the impending regret?
Hot Take: We’re All Doomed to Be Stuck with These Bite-sized Suckers
In conclusion, the world now faces a looming threat of annoyingly inventive small models taking over the AI landscape. While it may make AI cheaper and whatnot, we’re about to be swarmed by useless language experts that can’t handle a joke. So, buckle up and prepare to “enjoy” a world where smaller, less capable AIs are butting into our lives. Remember
Original article:https://venturebeat.com/ai/mit-researchers-develop-self-learning-language-models-that-outperform-larger-counterparts/