I feel we are at crypto/blockchain levelof hype int ML and basically the old saying of "if you are a hammer, everything looks like a nail" applies. For someone

I feel we are at crypto/blockchain levelof hype int ML and basically the old saying of "if you are a hammer, everything looks like a nail" applies. For someone who dedicated their career to ML, they'll naturally try to solve everything in that framework. I observe this in every discipline that falls prey to it's own success. If there's a problem, those in the industry will naturally try to solve it with ML, often completely ignoring practical considerations. Is the engine in your car underperforming? Let's apply ML. Has your kid bruised their knee while skating? Apply ML to his skating patterns. The one saving grace of ML is that there are genuinely useful applications among the morass.