camillaSinensis

Good shout with the ice cubes! I think he likes them! Obligatory dog tax included, that's him being curious about ice cubes

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I'd assume that's either due to bias in the training set, or poor design choices. The former is already a big problem in facial recognition, and can't really be fixed unless we update datasets. With the latter, this could be using things like visible light for classification, where the contrast between target and background won't necessarily be the same for all skin tones and times os day. Cars aren't limited by DNA to only grow a specific type of eye, and you can still create training data from things like infrared or LIDAR. In either case though, it goes to show how important it is to test for bias in datasets and deal with it before actually deploying anything...

I actually used to have one, but even though I was very careful with it, the screen kept breaking from normal everyday use. Eventually, my phone insurance decided they'd no longer cover this type of phone due to it being too fragile, so I went back to using a regular phone.

I do understand the curiosity though, just seeing what malware is trying to do can be quite interesting. Maybe someone should tell that person about VMs though lol

I love tea

I was on the verge of abandoning reddit before when I could only use RIF to browse logged out, but now that it's gone for good...goodbye, reddit. I wonder if it'll affect things like reddit traffic at all. Time will tell, I suppose.

Disappointing but not surprising. The world is full of racial bias, and people don't do a good job at all addressing this in their training data. If bias is what you're showing the model, that's exactly what it'll learn, too.

Awww!