"The thing which distinguishes #culture & #entertainment is the act of #revisiting.
Importantly, entertainment becomes culture all the time but it is the act of revisiting a work of entertainment which causes that transformation to happen.
Critically, it is the act of revisiting itself and not the subject of that revisiting which, to use a made-up word, enculturates a work."
#TheMetalDogArticleList
#louder
The 50 greatest metal EPs of all time
From the early days of Def Leppard and Iron Maiden to modern classics via the likes of Sleep Token and Spiritbox, these are the best metal EPs in history
https://www.loudersound.com/features/the-50-greatest-metal-eps-of-all-time
#metal #eps #greatest #alltime #music #loudersound #heavy #headbangers #genre #list #rock #album #criticalacclaim #seminal #evolution #influential #metalheads #fanbase #genredefining #mustlisten #iconic
#Artists explore the meaning of #home through the #lens of #queer and #trans #domesticity in #NewYork.
#Group #exhibition β#DreamingofHomeβ, at #LeslieLohman #MuseumofArt, uses a #seminal #CatherineOpie #photograph as a #springboard to explore the #meaning of #home today.
#Women #Transgender #LGBTQ #LGBTQIA #Entertainment #TheArts #Representation #Culture
https://www.wallpaper.com/art/exhibitions-shows/dreaming-of-home-leslie-lohman-museum-of-art
11 track album
It's #throwbackthursday here on Planet #Earth.
And today, we're taking it back to #2006 with #BlueOctober and #IntotheOcean.
The #lyrics are #sad but the #vibe and #instrumentals are #immaculate.
This was a #seminal #moment in my #life while listening to this #track.
Enjoy!
A #seminal #paper talking about the definition of #intelligence by Legg and Hutter
https://arxiv.org/abs/0712.3329
(with a nice extension https://arxiv.org/abs/2110.02450)
"Intelligence measures an agentβs ability to achieve goals in a wide range of environments." Legg-Hutter (2007)
A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: We take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.