I’m not sure if it’s intentional or not, but the Actually Useful AI community rarely gets any post on AI that’s actually useful. Is this just a reflection of the popularity of this community or a reflection of the AI field in general?
I’m not sure if it’s intentional or not, but the Actually Useful AI community rarely gets any post on AI that’s actually useful. Is this just a reflection of the popularity of this community or a reflection of the AI field in general?
That really depends on what you are calling AI. From my perspective, LLM, voice recognition and reproduction, and image generation, manipulation, and identification is the majority of AI. AGI doesn’t exist outside of theory and primitive prototypes. If you want to include general programming using regex and case, that’s not what I call AI.
Or are you saying the lion’s share of AI is not on this list at all? Because I’d be interested to do more research on these other disciplines.
They are pretty much all neural networks. But neural networks are not the extent of the field at all. And these aren’t there only uses either.
Just the most well known.
The field dates back to the 60s with the percaptatron and is huge.
I think that’s a very short-sighted view of the subject. You’re basically reducing AI to a very narrow set of specific, high-level practical applications of AI, leaving everything out of your personal definition.
The only thing I’ve deliberately left out is bog standard programming the likes of which I’ve done for 25 years. Which is why I asked what I’m missing.