Have you ever tried to assemble furniture without the manual? Or an old-school Kinder Surprise without the instructions? Done a jigsaw puzzle without the picture (or upside down)? Diving into any new field can feel a bit like that — the pieces are everywhere with no guide to connect them. That's where a good glossary comes in.
I've been sifting through countless AI terms lately, and it's striking how many overlap or seem to blur together. Terms like Artificial General Intelligence and AGI Alignment aren't just buzzwords; they're signposts pointing to where we're heading and the challenges we'll face along the way.
Consider the notion of a Black Box. It's a term that encapsulates the dark mystery at the heart of complex models—systems so intricate that we can't or daren't peek inside. And then there's the whimsical yet cautionary idea of the Stochastic Parrot, reminding us that sometimes AI models might just be repeating patterns without true understanding.
But why does it matter? Because language shapes our understanding. When we're clear about what we mean by Emergent Behaviour or Hyperautomation, we're better equipped to navigate and communicate.
Creating this AI Glossary wasn't just a fun exercise in cataloguing, it's about making AI approachable. Maybe it will serve as a map for others, a way to turn the intricate into the intelligible. Ahhh, words.
So, next time you stumble upon a perplexing term, perhaps this glossary might help, and if it doesn't, please do let me know. After all, and perhaps especially in the rapidly shifting world of AI, a little clarity goes a long way.