Really familiar territory. I think the hype has poisoned the minds of many and at this state "AI/ML" has turned into a simple buzzword. Much like "blockchain" 2 years ago. And while I'm still as fascinated about ml as I was 5 years ago, like many others, I've decided to stay in the shadows and do my own thing just for the fun of it. Especially since marketing and ego started playing a big role around those communities. It genuinely makes me sad but I think I always knew in the back of my mind that this would likely turn out to be a nail in the coffin of AI/ML, not robots taking over the world.
The way I see it, ML/AI is nothing more than a marketing campaign for much of the industry and few people realize that it's often a small component and rarely a major selling point for anything. Like "ml-powered kitchen blender" or whatever. As you said, few people discuss evaluating predictions, tackling biases. I suspect because most people are a lot more interested in snatching a piece of the cake.
It's different. With the ML stuff there's a bunch of actually useful applications and interesting problems at the core with a lot of fluff and marketing piled on top of it. That's the reason why you're seeing the ML/AI hype last so much longer than blockchain (which was basically a quick cash grab with no substance).
Don't get me wrong, AI/ML is immensely more valuable than blockchain ever was. Not a single doubt in my mind. But in terms of exploitation for marketing purposes - it's a very similar story. That's what I'm referring to.
> It's different. With the ML stuff there's a bunch of actually useful applications and interesting problems at the core with a lot of fluff and marketing piled on top of it. That's the reason why you're seeing the ML/AI hype last so much longer than blockchain (which was basically a quick cash grab with no substance).
LOL...I thought supermarkets were using blockchain to track the provenance of their cabbages, coffee beans, beef joints, etc LOL
I think you have a point about ML/AI. To my mind, judging by the hype, there seem to be a lot of solutions looking for a problem. Having said that I feel I should also jump on the bandwagon and get my ML/AI credentials as an insurance against future demand for the skillset ;-)
The way I see it, ML/AI is nothing more than a marketing campaign for much of the industry and few people realize that it's often a small component and rarely a major selling point for anything. Like "ml-powered kitchen blender" or whatever. As you said, few people discuss evaluating predictions, tackling biases. I suspect because most people are a lot more interested in snatching a piece of the cake.