Where am I supposed to look in that pdf to understand that it isn't correct or credible? It is certainly true that the model has differentiable and thus optimizable outputs.
It might have to do with the output possibly being a probability vector as opposed to a binary hash. The whole thing is thus differentiable and optimizable (if a dog image was incorrectly placed in the bad hash bucket it might only be on the border of it while the real CP corresponding to the hash is found at the probabilistic maxima of the hash bucket). Just guessing.
I've tried inference on the python version of onnx and it usually varies between hitting a OOM limit (while with TF it works fine) to being an order of magnitude slower. Even if the codebase is still being changed I don't see much reason for people to use it other than as a convenient distribution format.
Onnx has really poor support by microsoft. I suspect they've basically abandoned it internally (their onnxjs variant is orders of magnitude slower than tfjs[1]). It's a good 'neutral standard' for the moment but we should all eventually probably move away from it long term.
Really disgusting idea: I wonder if it's possible for someone to use this as a 'discriminator' in a GAN to configure a generator to recreate the CP this is trying to avoid distributing in the first place.
This might totally work and it's kind of impressive if it does. I'm still biased towards ultra skepticism towards all of this since the trustworthiness of all demos like this is completely corrupted at this point due to cherry picking and other deceptive tricks.
People are "allowed" to ignore drugs and nicotine but it's pretty hard and culture and laws help us constrain the lower bound will power you have to have in order to live a life. I'm not necessarily saying drugs and news addiction are as strong or as destructive but there should probably be some "let's act in a way that's good for the public" ideas floating around rather than pure "the free hand means it's moral" motivated greed.
I don't believe in this perspective. I think most people are sick of it (and would live healthier lives if they were allowed to focus more attention on their immediate surroundings) but that it keeps being refueled by profit desperate news corporations.
His disagreeability is probably correlated with his track record of innovation and if we cancel every outlier like that our ability to reach new plateaus will lag decades behind than if we only allow nice people to play.
Weird that the heads of apple seem to have redefined 'in true apple fashion' from just integrating well across the hardware and software layer to being about every part of the organization working well together (engineers and lawyers)
Huh? Half precision floats speeds up machine learning training and inference enormously. It's weird to me to argue that we should sacrifice hours of sliced off waiting time in favor of preserving the ability to write a new language over a weekend.
Not long until people will use deep learning style techniques to modify images to falsely trigger this alarm on harmless pictures and strew them randomly on the web.
It will indeed. It's frustrating that all of this is going much slower than I thought it would though. I feel like AR and this and the big ML GAN breakthroughs are still like 10-20 years away from now. (From my recollection it's felt like a year away for like 7-9 years now.) My kids are going to have such a fun time with it once its actually here but I'll be near middle age before the next wave is actually mature.
I know we don't want to say this but there might be a possibility some of the talent secretly are indeed sexist (wouldn't surprise me in the gaming world) and thus actually prefer to stay at a place that preserves the male dominated culture. That might be part of the strategy behind activisions anti walkout move here. Just a thought (I don't know).