Will machine learning ever overcome the shit equation: shit in = shit out?

@pilchard no, but also, it already has. What might be shit data to the human eye or ear might actually have decent decipherability for an algorithm.

Still, if you feed a ML algorithm a picture of a deer, a picture of a car, and a picture of Pluto, you are unlikely for the model to be able to predict cancer...

I guess the overall point is, shit is relative.

@musicman Aside: Blocsonic is cool AF. Looks like I have some productive procrastination to do in the near future.

@pilchard thanks! I don't manage the feed, Mike does, but you can follow us at @blocsonic

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