Aggressive 'roid guy got banned. Staffer got punted. What's wrong with people?

https://montrealgazette.com/news/local-news/montreal-gym-goer-attacked-because-his-weightlifting-was-too-loud

Sadly, down here we also have illiteracy.

Big Jim and Billy Sol would be proud you're carrying on the tradition.

Great discussion guys - one of the best I've seen on the 'sift for a while. Thanks for the perspective and civility, you've educated a few of us who are less familiar with the topic. Kudos.

It's pretty but what does it say? So - weapons exports: sold to military, sold to civilian, transferred for use in conflict by US military, transferred for us in conflict by other countries? What is included - is a fighter jet a weapon? is a tank a weapon? My point: I don't know whether to be astounded or just "meh". It's data without scale or comparison (e.g. 1/3 of all firearms sold in the USA are produced internationally). Hmmm...

Missing the real science here folks - how do you get all those mosquitoes in that little box? That's the real trick.

The usual recourse is water fog (vs water stream that just tends to raise more dust and spread more fire). If it's a large mound of extracted sulphur from e.g. sour gas fields, we used to just push more sulphur on top if the fire and that'd snuff it out.

And for 12 bonus points, how many movies can you name that are used in the mashup (without running off to Vimeo of course). I'm 8 out of 12. Most disturbingly, there is a Starship Troopers 3 and a non-numbered 4th in the series. Lots of "throwin' around" money in that franchise I guess.

As hamsteralliance says, ContentAware uses proximity matching and relative area matching. If you tried to fill in the white space with ContentAware, it'd be full of everything except eyes. They nVidia folks used thousands of images to train the neural net (ie generate the model using training data) which has more discrete sequential or spatial relationships between features (ie. eyes go to either side of the nose, below the eyebrows, level, interpupilary distance etc etc). The neural approach ALWAYS needs training data sets - it doesn't appear to (from reading the paper) any adaptive or learning algorithm outside of the neural framework (so, it's not AI in the sense that it learns from any environmental stimulus and alters its response... that I can see anyway. The paper doesn't get into the minutiae). But I'd still date her, if only she'd have me.

Just when a fella' gets tired of remakes of remakes on the big screen and tv, and thinks the well of fresh ideas in arts and performance are all used up or just aren't inspiring any more, something like this comes along. Even at more than 5 minutes in length, it holds you until the very end, which is something in these days of instant gratification and click click click click . All this, and an initially unexpected choice of music that wound up really complimenting the dancers. Nicely done.

Very nice. I had exactly the same design idea, but the modules in my marble wood machine were too heavy to lift.

Learned something new today... never knew that heavy (wet?) snow could move so slowly, like a viscous fluid. Had always figured on the more violent, rapid cascades down hillsides and mountain slopes. Thanks for the post.

Hmmm... along comes plastic. Plastic is cheap, reusable, lasts a long time, doesn't mind getting wet, weighs less compared to the variety of non-plastic things it replaced. Humans love plastic. Producers make more things out of plastic to keep the humans happy. Uh oh. Plastic winds up where it shouldn't. Humans aren't bad, plastic producers that made the plastic for the humans are bad. Humans might have wanted it before, now they don't, but it's not their fault, it's the shitty industries fault. How dare they make things that we used to want, but now we don't. Bastards. If you feel so strongly, take everything you own that has plastic in it and give it the toss. That'll show 'em. (Proper government representation?)

I like your lyrics better. Sooo, how about them seventies eh?