A video of Toronto Mayor Rob "Laughable Bumblefuck" Ford drunk and bellowing obscenities in a jafaican accent has surfaced. Ford, a luminously white and privileged man who was born into millions in a quiet suburb of Toronto, affects an embarrassing West Indian accent as he thunders to a captive audience at a west-end steak joint.
The subject of his rant was Toronto police chief Bill Blair, who instigated the long-running investigation into Ford's association with drug-dealers and gangsters, and which surfaced evidence that the mayor had smoked crack, driven drunk, and lied to the public and to council. In the video, Ford calls Blair "Cocksucking fucking Chief Blair."
He also says "bumbaclot." A lot.
When the scandal broke, Ford admitted to his drug use and swore he'd gone sober. But he told reporters who questioned him about this video that he was drunk, and that the events depicted in it were his "my personal life, with my personal friends, that's up to me. This really has nothing to do with you guys."
“I was with some friends and what I do in my personal life, with my personal friends, that’s up to me. This really has nothing to do with you guys,” Ford told reporters Tuesday afternoon.
The mayor wouldn’t address questions about his past claims that he quit drinking.
...The video could be damaging to Ford’s campaign for re-election, as he has staked his reputation to being clean and sober since November.
Ford “guaranteed” he has stopped drinking in interviews last year and told the CBC he had a “come to Jesus” moment about his drinking.
Oh, and there's a dancehall remix (Thanks, Andy!)
Rob Ford video shows ‘drunk’ mayor rambling and swearing in Toronto restaurant [Josh Visser and Natalie Alcoba]
(via Joey Devilla)
The latest Tropes vs Women in Video Games (previously) is as on-point, smart, and deep as ever.
I’ve been going to O’Reilly conferences since the first P2P conference in 2001; for 15 years, they’ve been blowing my mind.
In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using “introspective adversarial networks” to edit images in realtime, which they demonstrate in an open project called “Neural Photo Editor” that “enhances” photos by predicting what should be under your brush.
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