Every Employee runs at an autonomy level you choose. At the lowest level it only briefs you and takes no action on its own. One step up, it drafts everything and waits for your sign-off. At the highest, it acts on its own, but only inside limits you set. Everything it does is logged, and nothing goes out beyond the rules you define.
If there’s one thing that can mildly infuriate us, it’s when technology doesn’t quite live up to our expectations. Take AI, for example. We’ve all seen the headlines about how AI is revolutionizing industries, creating art, and even beating humans at chess (sorry, grandmasters). But let’s talk about a more mundane, yet equally frustrating issue: AI’s inability to accurately interpret numbers in images.
Imagine this scenario: you’re scrolling through your feed, minding your own business, when you stumble upon an image that’s supposed to showcase some impressive statistics or maybe even a cute cat with a number on its collar. You think to yourself, “This is going to be great!” But then, you notice that the AI has completely butchered the numbers. Instead of a clear “42”, you see a bizarre jumble that looks like it was typed by a toddler on a sugar high.
So, what’s the deal? Why is it that AI can beat humans at complex tasks but struggles with something as straightforward as reading numbers? Well, let’s break it down.
First of all, AI relies heavily on pattern recognition. It’s like that friend who always thinks they know better, even when they don’t. When numbers are presented in an image, they can be distorted, obscured, or just plain weird-looking. AI tries to recognize the patterns it’s trained on, but sometimes it’s like trying to find Waldo in a crowd of people wearing stripes. Good luck with that!
Then there’s the issue of context. AI doesn’t have the luxury of understanding the world like we do. It’s like that one relative who just can’t grasp why you’d want to watch a movie that isn’t a rom-com. Numbers can be presented in various formats—fonts, sizes, colors—and AI often gets confused. One moment it’s reading “2023” and the next it’s convinced it’s looking at “2,023,000” (thanks, but no thanks).
And let’s not forget about the human factor. We all have our quirks when it comes to writing numbers. Some of us use commas, some use periods, and some just throw in random symbols for fun (looking at you, math majors). AI doesn’t always know how to handle these inconsistencies, making number interpretation a bit of a guessing game.
To add to the fun, there’s the issue of training data. If you’ve ever tried to teach a dog a new trick, you know how important it is to have consistent and clear guidance. AI is no different. If it hasn’t been trained on enough diverse examples of numbers in various contexts, it’s going to fall flat on its digital face.
So, what’s the takeaway here? While AI is making strides in many areas, it seems that reading numbers in pictures is still a work in progress. And while it can be mildly infuriating to see AI stumble over something so seemingly simple, we can take solace in the fact that we’re not alone in our frustrations.
Next time you see an AI-generated image with numbers that make you question reality, just remember: it’s not you, it’s the AI. Let’s hope that as AI continues to evolve, it figures out how to count beyond its fingers and toes. Until then, keep your expectations in check and maybe stick to text when you need reliable numbers. After all, we wouldn’t want to give AI a complex about its counting skills, would we?
Inspired by: “AI can’t even get numbers right when they’re in the picture” (r/mildlyinfuriating)