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đź“– Things I’ve read in 2026

(Building on 2024 and 2025‘s habit in the hope I continue to feel pressured by the Big Other to actually finish reading the books I start)

Books I’ve read in 2026:

  1. Nietzsche, by Stefan Zweig
  2. How To Read Like A Parasite: Why The Left Got High On Nietzsche, by Daniel Tutt
  3. The Naturals, by Jennifer Lynn Barnes
  4. The Four Quartets, by T.S. Eliot
  5. On Friendship, by Andrew O’Hagan
  6. Three Characters: Narcissist, Borderline, Manic Depressive, by Christopher Bollas
  7. Mayflies, by Andrew O’Hagan
  8. The Evocative Object World, by Christopher Bollas
  9. The Infinite Question, by Christopher Bollas
  10. Forces of Destiny: Psychoanalysis and Human Idiom, by Christopher Bollas.
  11. China on the Mind, by Christopher Bollas
  12. The Freudian Moment, by Christopher Bollas
  13. Love Machines: How Artificial Intelligence is Transforming Our Relationships, by James Muldoon
  14. Minority Rule: Adventures in the Culture War, by Ash Sarkar
  15. The Night Manager, by John le Carré
  16. Attensity! A Manifesto of the Attention Liberation Movement, by the Friends of Attention
  17. The Mystery of Things, by Christopher Bollas
  18. Get Rich or Lie Trying: Ambition and Deceit in the New Influencer Economy, by Symeon Brown
  19. The Sex Lives of Siamese Twins, by Irvine Welsh
  20. Don’t Burn Anyone at the Stake Today, by Naomi Alderman
  21. Emotional Technologies: How Techno-Capitalism Exploits Our Subjectivity, by Eva Illouz and Jonas Ferdinand
  22. Universality, by Natasha Brown
  23. The Myth of Psychotherapy, by Thomas Szasz

Papers I’ve read in 2025:

  1. Hayles, N. Katherine. 2025. “My First Book and Where It Led.” Media Theory 9 (2): 191–200.
  2. Aydin, Ciano, and Luca Possati. 2025. “Less and More than Data: A Lacanian Inquiry into Self-Formation in the Age of Data Mining.” AI & Society 40 (8): 6123–34.
  3. Blackwell, Dick. 2002. “Out of Their Class: Class, Colonization and Resistance in Analytic Psychotherapy and Group Analysis.” Group Analysis 35 (3): 367–80.
  4. Amoore, Louise, S. J. Bennett, Alexander Campolo, Benjamin Jacobsen, and Ludovico Rella. 2025. “Politics of the Prompt: Government in the Age of Generative AI.” Economy and Society 54 (3): 573–96.
  5. Muldoon, James, and Jul Jeonghyun Parke. 2025. “Cruel Companionship: How AI Companions Exploit Loneliness and Commodify Intimacy.” New Media & Society, no. 14614448251395192 (December). https://doi.org/10.1177/14614448251395192.
  6. Poell, Thomas. 2025. “Three Challenges for Media and Communication Studies in the Age of AI.” Global Media and China 10 (4): 526–33.
  7. Amodei, D. (2024, October). Machines of loving grace: How AI could transform the world for the better. darioamodei.com.
  8. Amodei, D. (2026, January). The adolescence of technology: Confronting and overcoming the risks of powerful AI. darioamodei.com
  9. Lamchek, Jayson, and Van-Hau Trieu. 2026. “Risk Regulation of Generative Artificial Intelligence in the Australian Government: The Case of Microsoft Copilot.” Technology and Regulation 2026 (January): 18–37.
  10. Knowles, Alan M. 2024. “Machine-in-the-Loop Writing: Optimizing the Rhetorical Load.” Computers and Composition 71 (102826): 102826.
  11. Jackson, Jonathan. 2025. “Higher Order Prompting: Applying Bloom’s Revised Taxonomy to the Use of Large Language Models in Higher Education.” Studies in Technology Enhanced Learning 4 (1). https://doi.org/10.21428/8c225f6e.0915c17e.
  12. Law, Siew Fang, and Ai Tam Le. 2023. “A Systematic Review of Empirical Studies on Trust between Universities and Society.” Journal of Higher Education Policy and Management 45 (4): 393–408.
  13. Holzer, Andreas, and Martin Daumiller. 2025. “Building Trust in the Classroom: Perspectives from Students and Teachers.” European Journal of Psychology of Education 40 (2): 62.
  14. Noroozi, Omid, Saba Soleimani, Mohammadreza Farrokhnia, and Seyyed Kazem Banihashem. 2024. “Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives.” International Journal of Technology in Education 7 (3): 373–85.
  15. Bano, Muneera, Didar Zowghi, Jon Whittle, Liming Zhu, Andrew Reeson, Rob Martin, and Jen Parsons. 2025. “A Qualitative Study of User Perception of M365 AI Copilot.” arXiv [Cs.CY]. arXiv. https://doi.org/10.48550/arXiv.2503.17661.