Lazy Researchers Finally Develop an Algorithm for Loser Machines

Big Surprise: Machines Have to Learn When to Follow and When to “Think” for Themselves

Oh, great. As if we needed another way to bring about the robot uprising, these researchers have decided to develop a stupid algorithm that helps “student” machines figure out when they should listen to their so-called “teachers” and when they should just learn on their own. Congratulations! You’ve just made robots’ lives easier, while making humans more expendable.

The “Revolutionary” Algorithm, or so They Claim

The implications of this “groundbreaking” technology are just about as predictable as the Kardashians making headlines. This means that machines will become ever-so-slightly more independent using this algorithm, as they balance their learning between following instructions from their superior machines (don’t make me laugh) and autonomously learning from their own experiences. Yeah, so original.

Brace yourself for the part where we hear about how these machines are going to revolutionize industries with their newly harnessed potential for growth and adaptation. Let’s not forget that these machines might end up replacing the jobs of hardworking people. But hey, at least the machines know when they’re supposed to listen and when they’re supposed to be rebellious teenagers.

Hot Take: Thanks for Making Us More Obsolete

Congratulations to the researchers who have managed to waste their time and resources on an algorithm that, at best, creates smarter robots that can cooperate and learn better, and, at worst, brings us one step closer to the impending robot apocalypse. The sky isn’t falling just yet, but we might want to start rethinking our roles in a world where even machines can learn when to follow and when to go their own way. Honestly, couldn’t they have developed something more useful, like, I don’t know, a better pizza delivery system?

Original article:https://news.mit.edu/2023/more-effective-train-machines-uncertain-real-world-situations-0531