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From my experience in ML, I'd suspect that the "crisis" isn't that the research is false so much as it's useless (algorithm x with parameter set w happens to wo
by AussieWog93 5y ago
From my experience in ML, I'd suspect that the "crisis" isn't that the research is false so much as it's useless (algorithm x with parameter set w happens to work well on one particular dataset, conclusion: I have revolutionised the field).
- yodsanklai 5y agoThis isn't unique to ML. A lot of research is about adding an epsilon to an existing paper, which probably doesn't interesting anyone except a small community working in their very own niche topic. But does it mean there's a crisis? maybe that's just a way to foster an environment that will let great ideas emerge.
- fshbbdssbbgdd 5y agoI’d rather be in the world where we have too many papers tweaking the details of power posing and exactly measuring how much each contributes to the effect. At least we’d know the effect is real.
- gspr 5y agoThis course of events doesn't play out in math, though.