In this mirror one can see the terrifying nature of force, of this ancient human drive to turn others into things, which will never disappear, no matter how many smart professors comfortably say otherwise over coffee tables. Simone Weil knew we desperately need a clear mirror to deal with the horror of force in its most ghastly expression, which is... See more
Houellebecq wore his biography, professional identity, marital status, and psychiatric condition – everything modern society considers intrinsic and defining of the individual – as an amusing costume to be played with and discarded. He frees himself through his work from the straitjacket of ‘identity politics’ which placates its prisoners, like a... See more
The Antitrust Division will hopefully respond with “No, your search engine was awesome, but it’s increasingly ad-filled crap. You’re too powerful, you’re too lazy, and America needs some real competition.”
In late July, almost 100 long-finned pilot whales left the deep, usually cold waters where they live—so deep, so cold that scientists have barely been able to study them. Together they came to the coast of western Australia and huddled into a massive heart shape (if your heart were shaped like 100 black whales, like mine is). Then, collectively,... See more
Abstract: The growing field of “critical algorithm studies” often addresses the cultural consequences of machine learning, but it has ignored music. Te result is that we inhabit a musical culture intimately bound up with various forms of algorithmic mediation, personalization, and “surveillance capitalism” that has largely escaped critical attention. But the issue of algorithmic mediation in music should matter to us, if music matters to us at all. This article lays the groundwork for such critical attention by looking at one major musical application of machine learning: Spotify’s automated music recommendation system. In particular, it takes for granted that any musical recommendation – whether made by a person or an algorithm – must necessarily imply a tacit theory of musical meaning. In the case of Spotify, we can make certain claims about that theory, but there are also limits to what we can know about it. Both things – the deductions and the limitations – prove valuable for a critique of automated music curation in general."
September 14 : The Federal Trade Commission pledged criminal referrals and civil litigation for pharmaceutical executives that use a certain technique - known as ‘Orange Book fraud’ to lie about their patents and in turn block lower priced drugs. Orange Book fraud is costly. Know why certain asthma inhalers cost more than $100 apiece today vs just... See more