relenzo

3 ms·

1. 1.▲
   by relenzo 8y ago

   I thought this was a good post! In fact, I had just read a CVPR '18 paper that did the kind of thing he mentioned--presented an 'interpretable neural network' that assumed what interpretability meant...
2. 2.▲
   by relenzo 8y ago

   I have to say, the impressive scale of this data collection probably means it will still have some uses. And for Chinese health & medicine, it's simply a massive deal, if everything was done correctly.
3. 3.▲
   by relenzo 8y ago

   A Reinforcement Learning machine would have to be re-trained for changes such as that, but not from scratch. Depending on the size of the change, it would take much less time to adapt to such a change. Several notes: -The article notes that
4. 4.▲
   by relenzo 8y ago

   But surely if you duff the other player up enough it messes with their chess game.
5. 5.▲
   by relenzo 8y ago

   Have to agree that this seems like a lot of name-calling and rhetorical suppressive fire which fails to address any actual arguments. Giving the devil his due, Kurzweil has been proved wrong on almost every single prediction he's made