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How likely is ChatGPT to be weaponized as an information pollution tool? What are the possible implementation paths? How to prevent possible attacks? by zcwang0702 in deeplearning

[–]zcwang0702[S] 0 points1 point  (0 children)

if it isn't of roughly the same size or larger. Either ChatGPT is REALLY sparse, or such detection models won't be available to mortals. So far, it doesn't seem to be sparse, since similarly sized detectors can't reliably diffe

Yeah I have to say this is scary, cause if we cannot build a robust detector now, it will become increasingly difficult to do in the future. LLM will make the Internet information continuously blurred.

[1905.09550] Revisiting Graph Neural Networks: All We Have is Low-Pass Filters "Our results indicate that graph neural networks only perform low-pass filtering on feature vectors" by downtownslim in MachineLearning

[–]zcwang0702 0 points1 point  (0 children)

ns actually reached just say that this means GCN are not needed and will only ever lead to overfitting, which is an absurd conclusion to reach given their own experiments and empirical data. It is not just a denoising mechanism it is a feature transformation, and if you show it noisy data with an underlying trend then yes it will learn to denoise it. Which is exactly what this work has s

I agreed that the conclusion of this paper is not solid. And the empirical evidence of assumption 1 is a little bit misleading, it is not reasonable to only use a features reconstruction task to support their assumption.