AI

Stochastic Parrots 🦜: Frequently Unasked Questions

In this article, Emily M. Bender clarifies misconceptions about the term “stochastic parrots,” coined in her 2021 paper to describe large language models (LLMs) as systems that generate text by probabilistically remixing linguistic forms without true understanding or intent. She emphasizes that her critique targets the ethical and societal issues surrounding the development and deployment of these models—such as data use and environmental impact—rather than dismissing the models themselves or labeling all AI as stochastic parrots.

https://medium.com/@emilymenonbender/stochastic-parrots-frequently-unasked-questions-49c2e7d22d11

A Plea for Poetry in the Age of AI

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In “A plea for poetry in the age of AI,” Sophia Yvonne Hall argues that poetry is a vital form of human creativity that resists the homogenizing effects of AI, which tends to prioritize polished and formulaic outputs over originality and emotional depth. She urges readers to embrace the imperfect, messy, and uncertain nature of poetry as a way to preserve authentic creative expression that AI cannot replicate.

https://www.oxfordstudent.com/2026/05/10/a-plea-for-poetry-in-the-age-of-ai/

I Won’t Help Train AI – Word on Fire

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In the article “I Won’t Help Train AI,” Christopher Hazell shares his personal decision to decline a lucrative opportunity to train AI in creating narrative art such as fiction and scripts. He argues that while AI can assist with mundane tasks, the creation of authentic art requires human experience, free will, and the capacity for sacrificial love, which AI cannot replicate; thus, embracing AI-generated art risks dehumanizing culture by replacing genuine human communion with simulations.

https://www.wordonfire.org/articles/i-wont-help-train-ai/

AI Learns Language From Skewed Sources. That Could Change How We Humans Speak – and Think

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Large language models are trained primarily on written texts such as books, social media, and scripted dialogue from film and television, rather than the unscripted, everyday speech that makes up most human communication. This skewed training may lead AI-generated language to influence how humans speak and think, potentially narrowing vocabulary, encouraging curt or overly formal speech patterns, and reinforcing biases, thereby affecting our communication and perception of the world in significant but not yet fully understood ways.

https://www.theguardian.com/commentisfree/2026/apr/14/ai-language-human-speech

Will AI End Anonymity?

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Tyler Cowen explores how AI, particularly the model Claude, can identify authorship from relatively small text samples, raising concerns about the potential end of online anonymity. Megan McArdle’s article highlights that once AI can de-anonymize writing styles, protecting anonymity online may become nearly impossible, posing significant implications for privacy and free expression.

https://marginalrevolution.com/marginalrevolution/2026/04/will-ai-end-anonymity.html

‘They’re Supposed to Be Handmade’: Zine Creators Fight to Resist AI Influence

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Zine creators, rooted in a tradition of handmade, self-published booklets tied to cultural movements, are increasingly resisting the influence of artificial intelligence (AI) in their art form, viewing AI as incompatible with the scrappy, personal nature of zines. While some artists experiment with AI for efficiency or artistic experimentation, many, including creators of anti-AI zines, argue that AI diminishes critical thinking and the authenticity of creative work, emphasizing the grassroots, tactile process that defines zine culture.

https://www.theguardian.com/technology/2026/apr/28/zine-creators-fight-to-resist-ai-influence

AI Is Replacing Creativity with ‘Average’

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AI-generated content has rapidly increased across the internet, producing technically accurate and well-structured articles that often lack original perspective or distinct voice. While AI excels at recognizing patterns and generating statistically probable content, this leads to a convergence toward average ideas, reducing novelty and cultural friction essential for innovation and creativity.

https://www.fastcompany.com/91530169/ai-is-replacing-creativity-with-average

Slop Cop

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Slop Cop is a browser-based writing editor designed to identify and flag common rhetorical and structural patterns typical of generic large language model (LLM) prose. By adding an Anthropic API key, users can access deeper analysis and automatic editing features to improve their text. The tool highlights overused phrases, sentence structures, and stylistic tics, helping writers create clearer and more original content.

https://awnist.com/slop-cop

It’s Getting Harder to Spot AI in Contemporary Publishing. And That’s Very, Very Bad.

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Maris Kreizman discusses the challenges the publishing industry faces in detecting AI-generated text amid the growing sophistication of large language models and the flawed nature of AI detection tools. She argues that the core issue lies in overworked editors and a corporate culture prioritizing quantity over quality, emphasizing that giving editors more time and resources to carefully edit is essential to maintaining the integrity and care of published works.

https://lithub.com/its-getting-harder-to-spot-ai-in-contemporary-publishing-and-thats-very-very-bad/

Cotypist – AI Autocomplete for Mac – Type Faster, Write Better

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Cotypist is an AI-powered typing assistant for Apple Silicon Macs that predicts and suggests your next words in real-time, helping you type up to 50% faster across almost all Mac apps without interrupting your flow. It runs locally to protect your privacy, adapts to your unique writing style, and aims to augment your productivity rather than replace your creativity by providing intuitive, context-aware completions.

https://cotypist.app/

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