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sidthekid

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The images of spectrogram analysis between the real and fake voices seemed to be distinguishable by the human eye. Can a image model be trained to detect fake voice spectrograms based on pitch and tone choppiness?

I find the site decently fast, definitely ugly but then again I don't want it to get a reddit-style redesign either. The information density is ok right now, and I'm actually impressed by the wide range of functionalities they have, related to reviewing books and updating your progress.

I've seen something similar in some extremist bot accounts, where the tweet picture and text has a titillating and sexual tone (like catfishing) but includes an unrelated political hashtag at the end. These bots try to get certain hashtags trending without the users who fav the tweets realizing that.

MuseNet 7 years ago

Why generate a fake story? Why not communicate the real and moving journey of how a single note in the training data travelled through hundreds of neurons and thousands of matrices, and eventually made it past the final activation function to become a feature in the output tensor.

If we exclude all the silly buzzword-driven ICOs that have sprung up recently to take advantage of the hype, there are plenty of companies that are years old (started after the 2014 surge) and have decent working products. These companies have been waiting for a surge in cryptocurrency adoption and deserve the funding they are getting.

Also, if decentralized storage systems become very popular, then people will buy lesser storage space with their computers, because they expect storage space to be cheaply available online. In that case, the number of individual hosters would reduce and big companies/pools would step, making it less decentralized.

I cant help but imagine the attacker party/their associates read reddit and online forums, and thus would be vocal in criticizing the soft/hard fork decision. The theft of $50m is being rendered useless in front of their eyes - a maddening situation I'm sure.

It is somewhat similar because the long-term effects were malicious/not known in the short term. But its not exactly the same because anyone can switch internet carriers at any time (nobody gets medically tied to Free Basics).

'Facebook addiction' isn't as objectively proven as the side effects mentioned in the article. 'Tracking usage data and privacy snooping' isn't as harmful as the side effects mentioned, because poor people probably value their 'usage data' less and access to basic resources like Wikipedia/job posting sites/health and weather reports more. (and its just fear and speculation that facebook will maliciously track all data passing through its servers, but we are treating it like inevitable fact)