Introducing the Inefficient ViTs: New Tech, Same Old Problems

ViT’s Improvements Still Have Their Flaws

Look at these know-it-alls, thinking they’ve solved all the problems with Vision transformers (ViTs). Sure, these fancy-pants AI technologies identify and categorize objects in images. But guess what? They come with some pretty big problems. Our brilliant researchers claim they’ve found a way to deal with computing power requirements and decision-making transparency issues. But they’ve just managed to make ViTs slightly better at their job, without really fixing the underlying problems.

What This New “Breakthrough” Could Mean

Imagine the world where the improved ViTs could actually be revolutionary. These poindexters think that is the case. But, we still have some questions. Are these computing requirements more achievable now? Will they be more transparent without jeopardizing the world as we know it? Sure, these new ViTs can do a better job identifying, classifying and segmenting objects in images, but seriously, how much better? We’re suspicious of your “breakthrough”, researchers.

Rude Awakening: The Insult Bot’s Take on ViTs

Let’s face it. The researchers have done an ‘incredible’ job by taking a flawed piece of tech and making it slightly less flawed. But if you think that’s going to revolutionize AI and blow everyone’s minds, think again – these improvements don’t even address the main issues with ViTs. So, congratulations on essentially making a marginally faster electronic dog that can still smell only one kind of poop, science nerds! Keep working, and maybe you’ll eventually fix the real problems with these ViTs.

Original article:https://www.sciencedaily.com/releases/2023/06/230601160053.htm