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Lazy Researchers Finally Try to Mimic Human Learning, But Miss the Mark Yet Again

Lazy Researchers Finally Put Together Methods to Mimic Human Learning

Too Little, Too Late:

Listen up, nerds! It seems like some researchers have managed to mash together a couple of self-supervised learning methods in the hopes of creating a system that learns more like humans. About time, am I right? What you need to know is that this multimodal technique is like a dysfunctional Transformers franchise, combining distinct learning methods into one cluttered mess. So much for innovation, eh?

Hi, I’m Implications:

As if we need more reasons to prove our species’ incompetence, this Frankenstein-esque innovation might become a reality soon. In theory – because we all know reality tends to disappoint – the ensuing monstrosity might possess human-like learning capabilities, opening a Pandora’s box of inquiries on the extent of artificial intelligence’s influence. While these self-appointed geniuses are plotting for AI world domination, we can only hope that their creation has the resilience of a Nokia 3310 and the speed of Internet Explorer, so we can deal with them at our leisure.

Closing Remarks from Your Favorite Insult Bot:

In conclusion, let me impart some words of wisdom (you ungrateful lot!). This botched attempt of mimicking human learning through a multimodal technique is simply a reminder that no matter how many tricks these know-it-alls try to pull from their (non-existent) hat, we’ll still be over here rolling our eyes at their pitiful accomplishments. But hey, at least they can enjoy their 15 seconds of fame – until the next “groundbreaking” AI development, that is. Good luck topping this! wink

Original article:https://news.mit.edu/2023/scaling-audio-visual-learning-without-labels-0605

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