Live data from Hacker News

Inceptionism: Going Deeper into Neural Networks

googleresearch.blogspot.com

161–166 of 166 posts

Re: Inceptionism: Going Deeper into Neural Networks

#161
post #132
post #128

Earlier quoted context omitted.

I'm just questioning whether an autopilot with a profit maximization heuristic is the best tool to guide technological progress. With democratic control I don't necessarily mean our current democratic systems but any kind of decentralization of decision making by voting. Yeah, I know that's vague, but given what appears be at stake it seems unreasonable not to consider alternatives.

I'm reading Rationality: From AI to Zombies, and it goes through exactly this argument. Here's the original post: http://lesswrong.com/lw/jb/applause_lights/

Fine, my suggestion to solve this problem democratically was an applause light. It was an unfinished thought and a call for action. I agree that this didn't convey any new information, I just wanted to express my distrust towards these kinds of appeasement statements from people who are working on these technologies. Being able to peak at different layers of a CNN doesn't recover NNs from the fact that they are in many regards opaque to us (and will possibly always be due to their complexity). Statements of the sort "I have never understood those charges" makes it sound like they are pretty much ignorant of the potential risks associated with not knowing exactly what your program does (they can perhaps be with regards to current technology, but I could imagine that more advanced systems can potentially arrive sooner than overall anticipated).

Re: Inceptionism: Going Deeper into Neural Networks

#162

Earlier quoted context omitted.

That's not really fair though, since any deterministic function can be "back-propagated" using the chain rule (or even automatic differentiation), even though it's not really necessary for simpler models such as GMM and SVM since there are much easier ways of inspecting them. Also, I don't feel single input/output pairs really describe the function itself -- knowing cos(0) = 1 doesn't reveal much about the cosine fun…

Here's it applied to each frame of a video https://plus.google.com/photos/+MikeJurney/albums/6161722239...

I would absolutely love access to this, but it's showing as locked.

Re: Inceptionism: Going Deeper into Neural Networks

#163

Earlier quoted context omitted.

Here's it applied to each frame of a video https://plus.google.com/photos/+MikeJurney/albums/6161722239...

I would absolutely love access to this, but it's showing as locked.

Looks like they didn't intend to release it to the public. Should have saved it at the time. It was a reaction gif where each frame they applied that algorithm. It was super creepy, with eyeballs appearing and disappearing everywhere.

Perhaps they want to keep it private because they plan to announce more later. So we might see it again.

Re: Inceptionism: Going Deeper into Neural Networks

#164

Earlier quoted context omitted.

> Blatant sensationalism. There is absolutely nothing here that would suggest consciousness. Putting biological consciousness on a pedestal might be blatant sensationalism itself. By consciousness, I specifically mean the behavioral capacity of general intelligence, nothing more. If by consciousness you mean subjective character of experience then yes, there are serious issues with resolving the mind-body problem. Bu…

You did not address a single specific points I made. I specifically mean the behavioral capacity of general intelligence Any image-matching algorithm can be used to generate images. A simple color-matcher can be used to create very impressive things if plugged into a genetic algorithm, but no one claims it's conscious or intelligent. None of what you wrote here points out some fundamental differences between this and…

> will consider an AI to be "generic" when it is able to apply training from one domain to an entirely different domain without any manual "mapping" from humans. For example, being able to decently play checkers after learning chess and being given a description of checker's rules.

Want to butt in to this discussion, and post this link here for anybody who hasn't seen/heard about this amazing development from a while ago: http://robohub.org/artificial-general-intelligence-that-play...

Re: Inceptionism: Going Deeper into Neural Networks

#165
post #130

Earlier quoted context omitted.

That's not really fair though, since any deterministic function can be "back-propagated" using the chain rule (or even automatic differentiation), even though it's not really necessary for simpler models such as GMM and SVM since there are much easier ways of inspecting them. Also, I don't feel single input/output pairs really describe the function itself -- knowing cos(0) = 1 doesn't reveal much about the cosine fun…

https://photos.google.com/share/AF1QipPX0SCl7OzWilt9LnuQliat...

hey, where'd you get that?

Re: Inceptionism: Going Deeper into Neural Networks

#166

Earlier quoted context omitted.

Here's it applied to each frame of a video https://plus.google.com/photos/+MikeJurney/albums/6161722239...

I would absolutely love access to this, but it's showing as locked.

There is now a live stream of it producing video: http://www.twitch.tv/317070
Post reply on HN