Been excited to start reading this one for a while, a good and exciting book to start 2025.
Reviews and Comments
Reading as healing
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Emily Gorcenski started reading Tracers in the Dark by Andy Greenberg
Emily Gorcenski finished reading The Storm is Upon Us by Mike Rothschild
Emily Gorcenski started reading The Storm is Upon Us by Mike Rothschild
Emily Gorcenski finished reading You can't go home again by Thomas Wolfe
Emily Gorcenski finished reading Against Interpretation and Other Essays by Susan Sontag
“Notes on Camp” is a stunning relevant essay even 60 years later.
My 60th (proper) book of the year, hitting my goal for reading. This year I’ve read more than probably any other in my life. And not easy material, either. Philosophy. Books in German. Technical books. It’s been a fruitful year.
Emily Gorcenski started reading Against Interpretation and Other Essays by Susan Sontag
Emily Gorcenski finished reading Short History of Trans Misogyny by Jules Gill-Peterson
Emily Gorcenski finished reading After the Internet by Tiziana Terranova
I had hopes for this book but, like most Marxist literature, it folds itself into self-congratulatory readings of theory and references to other writers, while failing to actually engage with much of the concrete realities of the neoliberal internet.
Emily Gorcenski finished reading Age of Innocence by Edith Wharton
Done with #58 on the list. It was an easy read, as long as you let yourself glide over the language, and a critique of New York society of a century ago which still remains relevant today. Heartbreaking, but also lighthearted.
Emily Gorcenski started reading Age of Innocence by Edith Wharton
Onto #58 on the Modern Library list, and the last on the list I’ll read this year.
Emily Gorcenski finished reading Vision on Fire by Emma Goldman
Emily Gorcenski finished reading Code & Vorurteil by Eva Berendsen
Ich habe eigentlicht nichts Neues außer ein Paar deutsche Fallbeispiele gelernt. Trotzdem fand ich die Beiträge sehr gut, besonders den von Ingmar Mundt, in dem er schreibt, dass sogenannte “unbiased” Data Sets unzureichend sind, um gerechte KI zu bauen, weil das Sozialsystem selbst ungerecht ist. Endlich habe ich etwas ein bisschen mehr “radikal” gelesen.










