Hyperbolic

4 ms·

1.
by Hyperbolic 9y ago
After working for a few companies who (tried to) make ML products, I think one of the most important questions to ask is "who owns the data you are building models on?". It is way harder for a company to build good models off data
2.
by Hyperbolic 9y ago
Yep, Question-Answering Semantic Role labeling is an interesting research project around crowdsourcing NLP datasets. https://dada.cs.washington.edu/qasrl/
3.
by Hyperbolic 9y ago
This makes no sense. It's not just that you might, for example, die at 70 instead of 75 if you don't sleep. The point is that your quality of life during those 70 years would be horrible, for all the points listed in the article.
4.
by Hyperbolic 9y ago
Despite how much I dislike Facebook, this article started off decent, but took a strange (and disrepectful) turn into hacker culture and algorithms that was completely unfounded. Facebook addiction and the centralization of the Internet has
5.
by Hyperbolic 9y ago
The Ender's Series - For the essence of xenophobia and subjective realities.
6.
by Hyperbolic 9y ago
It's been done. https://github.com/google/xi-editor
7.
by Hyperbolic 9y ago
Yeah this is just click bait. I haven't looked at the model they deployed, but it's likely just not sophisticated enough to represent aspects like tone and frame of reference. It might just be a great word-based language model. T
8.
by Hyperbolic 9y ago
A popular framework for iterative control sequences in deep learning (e.g. Stack LSTM) is Dynet. It's being used more and more in the NLP community.
9.
by Hyperbolic 9y ago
I am always skeptical of people trying to "emulate" the human brain in machine learning. We currently do not have the tools to accurately record and analyze the dynamics of networks of neurons in the brain, and any group that clai