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dreepDeam

Not likely. There are tons of webgl demos out there, performing quite advanced tasks, well beyond what this game is up to, and Firefox and Chrome produce equal results.

Example: https://zenphoton.com/

My guess is there's some sort of misplaced network hook, introducing latency into OP's event handlers, and it's producing a noticeable side-effect in Firefox, which, perhaps Chrome optimizes for, as a common, anticipated programmer tendency, that gets re-ordered behind the scenes.

Re:Google’s first all-hands after 2016 election [video] on Thursday September 13, 2018 @04:01AM (#17976857)
Ah, well, not to put too fine a point on it, but search engines don't even come close to rating every new page on the internet in real time.

There are like days of lag, in search engine results, unless you eagerly, eagerly, eagerly force your way into strategic points of the existing index for each independent search engine, separately.

Nevermind DNS replication, which is it's own beast. So, from domain registration, to DNS replication, to getting listed, to becoming relevant (which requires all kinds of meta tags and dom restructuring for crawlability, plus roll-your-own-site-maps, and so on), to being recognized as a reliable source of information, such as press releases, before we even get to news possibly going viral?

Well, news actually doesn't even go viral without humans in the loop. I mean consider how viral a high karma rank gets you on hacker news? It's just enough to get 10K eyes on a site in unison, to overwhelm a non-load-balanced server. And that's the voting of users doing all the work.

And then to include heavier social sites like reddit, twitter and facebook in the mix? That's almost purely human opinion performing the ranking factor. The attention of the users closes the feedback loop, and the chain reaction can strap a booster rocket to notoriety.

So, I'd almost say the really real time (like viral real time) stuff is almost only humans doing the work, and the robots are just there for the chatter threshold tripwires.

Re:Deep image reconstruction from human brain activity (2017) on Wednesday September 12, 2018 @12:32AM (#17965575)
And that's exactly why this is garbage research. Point deep dream at an interference pattern of pure noise, after training it on a set of target images.

Don't be surprised when it "finds" the image, pulled from raw static that contained no signal.

Re:Deep image reconstruction from human brain activity (2017) on Tuesday September 11, 2018 @09:36PM (#17964948)
Wow, I'm calling a hoax. They produce images of dubious value, and for whatever reason, contaminate the results by mutating them with the Deep Dream stylization.

This is as bad as the dead salmon results.

EDIT: You can flag all you want, but look at this playback of the reconstruction:

https://video.twimg.com/tweet_video/DSrWxhSVQAE2Xix.mp4

There's nothing useful happening here.