Every year, Canada's Munk debates feature high-level, high-profile debates on burning policy issues. This year, they debated surveillance, and the participants were Glenn Greendwald and Reddit co-founder Alexis Ohanian on the anti-surveillance side and former NSA and CIA chief Michael Hayden and Harvard law professor Alan Dershowitz on the pro-surveillance side. Although the debating partners do a lot in this, the real freight is carried by Hayden and Greenwald, both of whom are more fact-intensive than the others.
I have a bias here, but I think that Greenwald wiped up the floor with Hayden (the post-debate polls from the room support this view). It was particularly useful to have Hayden being grilled by a well-informed opponent who was allowed to go after the easy dismissals and glib deflections. Normally, he gets to deliver some well-polished talking points and walk away -- this was something I hadn't seen before.
This is just about the best video you're going to watch on the surveillance debate. It kicks off around the 30m mark.
Watch Live: Glenn Greenwald Debates Former NSA Director Michael Hayden
The Nightmare Machine is an MIT project to use machine learning image-processing to make imagery for Hallowe’en.
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
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