OpenAI is Using Reddit to Teach An Artificial Intelligence How to Speak

Post by ppod » Tue, Oct 11, 2016, 6:33 PM UTC

bduerst wrote: post #94

ppod wrote: post #90

Reddit gets a lot of stick, but it's a bastion of civility and intelligence compared to the comments on youtube videos or even mainstream newspaper comments. I don't think there is any forum of comparable size that has a higher quality discussion. Reddit's problems are just humans' problems.

I would say Twitter is probably more civil, but the character limit leads to too many abbreviations.

Post by StavrosK » Tue, Oct 11, 2016, 6:38 PM UTC

TeMPOraL wrote: post #121

StavrosK wrote: post #91

Earlier quoted context omitted.

Note that you're comparing a touchscreen to tactile keys in that statement too, though. I could text from my pocket without T9, but try doing that with a touchscreen WITH T9...

And while we're doing that touch vs. tactile comparison, what I also loved about the old "dumb phones" was deterministic timing . I could do stuff on those phones from start to end without looking at the screen - I quickly learned and remembered that e.g. this operation completed instantly, and that menu has ~1/4 of loading time, etc. I think this feature was actually key to being able to memorize how to perform oper…

Post by nitrogen » Tue, Oct 11, 2016, 6:42 PM UTC

TeMPOraL wrote: post #121

StavrosK wrote: post #91

Earlier quoted context omitted.

Note that you're comparing a touchscreen to tactile keys in that statement too, though. I could text from my pocket without T9, but try doing that with a touchscreen WITH T9...

And while we're doing that touch vs. tactile comparison, what I also loved about the old "dumb phones" was deterministic timing . I could do stuff on those phones from start to end without looking at the screen - I quickly learned and remembered that e.g. this operation completed instantly, and that menu has ~1/4 of loading time, etc. I think this feature was actually key to being able to memorize how to perform oper…

Post by minimaxir » Tue, Oct 11, 2016, 6:56 PM UTC

Deimorz wrote: post #130

minimaxir wrote: post #42

Earlier quoted context omitted.

SubredditSimulator was made by a Reddit Admin as a method of creating test data. It uses Markov chains for simplicity, which is not that exciting.

Not quite correct - we already had a method of generating test data (for dev installs of reddit) that uses markov chains, and that was basically the inspiration for SubredditSimulator. SS was just meant to be kind of a larger, ongoing version of that, running on reddit itself.

Post by yahma » Tue, Oct 11, 2016, 6:59 PM UTC

psb217 wrote: post #68

nateberkopec wrote: post #2

The DGX-1 is available for a cool $129k: http://www.nvidia.com/object/deep-learning-system.html Correct me if I'm wrong, but I think it's basically a couple hundred NVIDIA 10-series cards strapped together with a full custom NVIDIA software stack.

The P100s have full support for half-precision (i.e. 16 bit) floating point ops. This can mean ~2x improvements in speed and memory usage in comparison to the Pascal TitanX, which is the top "consumer" card. This difference is significant for almost any machine learning workload, which is what a lot of these cards will be used for. NVIDIA gimped half-precision on the consumer cards to drive datacenters, hedge funds,…