
Harper Lewis
Bio
I'm a weirdo nerd who’s extremely subversive. I like rocks, incense, and witchy stuff. Intrusive rhyme bothers me. Some of my fiction might have provoked divorce proceedings in another state.😈
MA English literature, College of Charleston
Achievements (9)
Stories (180)
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William Faulkner
The speech is below, in case his accent is too thick for you to understand, like the attendees at the Nobel Banquet in 1950. Faulkner finished his short, brilliant speech and was met with devastating silence, his Mississippi drawl rendering his speech unintelligible to most of those international ears.
By Harper Lewis4 months ago in Writers
Recitation
I love reciting this poem. For me, there’s a glimmer of sadness embedded in the sardonic wit, and there’s also a small epiphany within it for me, in the line “thewoman wasnot/quite Fourteen till she smiled/then/Centuries.” There’s an acknowledgment of feminine wisdom and knowledge that’s generally lacking in masculine poetry, and there’s something in her value being double that of the room. I, of course, know she’s worth much more than that. There’s also something else in that six for me outside of dollars, an echo of Persephone’s pomegranate seeds perhaps, or maybe some other allusion I can’t articulate, but this poem does what poetry should do—it makes me look at things differently
By Harper Lewis4 months ago in Writers
Constantine’s
My husband and I went out this evening to promote me as a writer. We were planning to go to the bar at the Hilton—travelers, people from everywhere, but my instincts led us to the local Turkish restaurant, Constantine’s, first. We were planning to have their phenomenal falafel, which is an appetizer, so I headed for the bar while my husband parked the car.
By Harper Lewis5 months ago in Feast
Ai Misogyny is Human Misogyny . AI-Generated.
Why AI Image Systems Produce Misogynistic Tropes as a Structural Feature Artificial intelligence systems that generate images do not simply sometimes produce misogynistic results—they do so by design, even if unintentionally. Misogyny is not an accident within their functioning; it is a predictable consequence of the data, architectures, and institutional priorities that form the foundation of current generative technologies. The user’s explicit instructions to avoid sexist or objectifying depictions rarely override the biases that are deeply baked into the system’s learned representations of gender. To understand this, we must confront how misogyny becomes embedded at every layer: in the data, in the model’s internal logic, and in the sociotechnical structures that sustain it.
By Harper Lewis5 months ago in Humans












