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Episode 584: Ta-Nehisi Coates

Longform

2024/06/19
Longform

Longform

2024/06/19
In its final episode, The Longform Podcast closes a two-decade run with a reflective and deeply personal conversation with Ta-Nehisi Coates—their most frequent guest—centered on the power, peril, and purpose of narrative in an age of fragmentation and technological upheaval.
Coates discusses his upcoming book *The Message*, which investigates how stories simultaneously reveal and distort truth—a theme echoing the podcast’s lifelong commitment to long-form storytelling as both craft and moral inquiry. He reflects on stepping away from social media and TV to protect the depth and integrity of writing, emphasizing that sustained thought—not visibility—defines intellectual contribution. His work, from 'Fear of a Black President' to 'The Case for Reparations' and *Between the World and Me*, is framed not as political intervention alone but as an ongoing effort to confront reality through narrative rigor. Drawing on figures like Ida B. Wells and Frederick Douglass, he affirms journalism’s essential, dangerous role in truth-telling. The conversation also critiques AI hype and tech-driven data harvesting, warning that institutional and financial pressures—not technology itself—pose the greatest threats to ethical reporting. Ultimately, Coates reaffirms writing as vocation: arduous, uncertain, and rooted in personal conviction rather than external validation.
03:01
03:01
The Message is about how stories expose and distort realities
04:04
04:04
This is Ta-Nehisi Coates' final episode after 12 years
07:23
07:23
Social media made the blogging world harder and worse, turning writers reactionary
12:04
12:04
Writing is hard and painful but revelatory
25:52
25:52
Separate license plates, roads, and legal systems in the West Bank strike as undemocratic
38:26
38:26
David Carr saw potential in someone, and the speaker wishes he were here to report on AI and Twitter
40:01
40:01
Writers will find a way to keep doing long-form writing
42:06
42:06
Even if LLMs don't meet expectations, they'll be widely used and could cause problems