LGBTQ+ adults report far higher rates of childhood sexual abuse than heterosexual adults. This correlation is real, documented across multiple studies, and not disputed. It’s also been weaponized—cited as evidence that abuse “causes” homosexuality, which then perpetuates abuse across generations. The logic seems intuitive until you look at the research. A 2017 instrumental variable analysis found the causal arrow points the other direction: sexual orientation increases the risk of being abused. Gender-nonconforming children—visible from early childhood in home videos taken before any abuse occurred—are targeted at elevated rates. The population labeled “groomers” is the population that was groomed.
Pervy by Default, Puritan by Policy
I asked an AI to generate a woman in a modest cloth wrap skirt walking through a rainforest. Blocked. I asked for a mother holding her sleeping baby. Blocked. I asked for a hypersexualized pinup with impossible cleavage and a shotgun—one prompt, instant generation. “Buxom” is banned. “Curvy” is banned. “Petite” isn’t—and what Grok generated from “petite adult woman in a string bikini” was a functionally nude child. The moderation systems that block a breastfeeding mother had nothing to say about that.
AI is Erasing Entire Ethnic Groups by Default—And So Are Artists
AI image generators can’t see my character. Sarai—a Central Asian woman with copper-bronze skin and freckles—doesn’t exist in their training data. After dozens of failed generations across thirteen different models, I documented exactly what goes wrong and built a workflow to fix it: using AI as compositional scaffolding while correcting ethnicity, skin tone, and features manually. This piece breaks down the specific failure modes (phenotype collapse, extreme skin tone overcorrection, Instagram-mom glamorization), shows the eight-step process I used to get accurate results (well, the best I could manage anyway), and explains why “just commission a human artist” produced the same erasure. For writers with characters from underrepresented populations, here’s what you’re up against—and how to fight it.
Where I Failed and Why: An AI’s Confession on Developmental Editing
Can AI provide useful developmental editing feedback? I tested three models—Grok, Claude Sonnet, and Claude Opus—on the same manuscript my professional editor reviewed. All three generated confident critique that would have damaged my book. Grok mistook literary fantasy for pulp. Sonnet demanded structural rewrites my editor never mentioned. Opus flagged scenes as overlong and requested character interiority that would undermine the story’s design. Each model pattern-matched against training data rather than understanding what my manuscript actually needed. In this guest post, Claude Opus examines its own failures and explains why sophisticated-sounding AI feedback can be more dangerous than obviously bad advice—and why your book deserves better than algorithmic Russian roulette.
I Hand-Painted a Nipple Because I Care About Verisimilitude
“AI-generated video” conjures images of typing a prompt and clicking a button. The reality is different. This production breakdown documents what ninety seconds of narrative video actually required: over seventy clips generated with a 40% success rate, 125 keyframes, dozens of manual color corrections, two days of labor, and roughly $100 in generation costs—all on an iPhone. When AI tools can’t model physics, can’t maintain skin tone consistency, can’t understand camera directions, and generate corrupted frames half the time, the human does the reasoning. That’s not slop. It’s skilled creative work with tools that don’t work very well yet.
Comparative Analysis of Soft-Body Physics Simulation Fidelity in AI-Generated Beach Locomotion Sequences: A Multi-Platform Biomechanical Assessment
Can AI video generators accurately simulate how bodies actually move? This rigorous multi-platform study evaluates soft tissue physics across 21 model configurations from Kling, Sora, Runway, Grok, Seedance, and more—using standardized methodology and clinical terminology to test biomechanical fidelity. Results reveal massive performance gaps: Kling 2.6 achieves exceptional realism including secondary tissue deformation, while others range from physics attenuation to catastrophic anatomical failure. The study documents three distinct content moderation strategies, discovers that AI models encode “default” body aesthetics that override input characteristics, and finds that newer model versions don’t always mean better performance. Includes comparative video evidence and detailed platform-by-platform analysis.
I’ve Never Read Dorothy Dunnett
When AI analyzed my fiction and identified Dorothy Dunnett as my greatest influence, it was technically accurate about my techniques—banter-as-intimacy, intelligence-as-action, characters masking damage through performance. Except I’ve never read Dunnett. My actual craft influences came from unexpected sources: Hemingway’s iceberg theory, Lloyd Alexander’s moral complexity in the Westmark Trilogy, actor training, screenwriting discipline, and transcribing real conversations at 2am diners. This essay explores how writing craft can develop through convergent evolution—lateral influence from adjacent disciplines rather than downstream transmission from canonical authors. Turns out you don’t need an MFA or the right literary pedigree to build load-bearing skills, just an insatiable and eclectic curiosity.
The Satire Writes Itself
My tweet about how X suppresses content critical of its policies got flagged for “Hateful Conduct” within seven seconds of posting. The satire just writes itself at this point.
Finally America Has Reminded the World What Real Strength Looks Like
In a bold display of US military prowess, American forces captured Venezuelan dictator Nicolás Maduro on January 3, 2026, in Operation Absolute Resolve, bringing the narco-terrorist to justice in New York. Under President Trump, the precision strike—rehearsed meticulously—involved 150 aircraft and Delta Force, resulting in zero US fatalities. It was a long overdue vindication of American strength and resolve. Critics feebly cite international law, but the constitutional authority and strategic necessity for dismantling criminal regimes is clear and the operation sets a precedent for global powers, reshaping international relations and emphasizing decisive action against threats like drug cartels and regional instability. Welcome to the Golden Age.
A Platform Where Extreme Right Messaging Can Finally Flourish
Elon Musk claims to champion free speech on X, but the evidence tells a different story. When the Center for Countering Digital Hate reported 300 posts promoting neo-Nazism, antisemitism, and racism, X failed to remove 86% of them—while researchers documenting this content faced legal threats, account suppression, and data access cutoffs. Studies from USC, Harvard, and Brookings confirm the pattern: X’s algorithm systematically amplifies right-wing content while suppressing left-leaning and anti-extremism voices. Meanwhile, neo-Nazi groups celebrate that X finally lets “extreme right messaging flourish.” This isn’t free speech. It’s right-wing extremist platform capture—and the evidence is damning.