Editorial

Who we write for

Our readers are writers, journalists, screenwriters, researchers, translators, editors, copywriters — people who work with text for several hours a day and want to understand how AI fits into that work without something being lost. This publication is not for “AI enthusiasts”; it is for those whose primary work is copy.

In practice, that means several things: we don’t explain what an LLM is, and we don’t use phrases like “the AI revolution,” “game-changer,” or “10 best prompts.” We write sometimes dryly, sometimes with irony, but never with exclamation marks.

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Editorial principles

Our articles aim to rely on verified data, and we cite our sources. When reliable data isn’t available, we say so.

If a piece touches on related fields, we look for supporting material from those fields — figures as well as quotes from specialists.

In exploring a particular aspect of AI, and especially a problem associated with it, we look for analogous issues in other domains.

When covering a contested issue, we present the perspectives of all parties involved and make every effort to avoid sweeping, one-sided statements. Occasionally, in the Column format, we give a writer the opportunity to state a firm personal position that may not reflect the editorial team’s views — but even then, we ask them to argue their case with full rigor.

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How we work

We publish three to four pieces a week, compiled into quarterly issues. We don’t chase the news cycle. If a new model drops on a Tuesday, we might write about it on Friday, when we actually have something worth saying. Today, when creating copy has become a mundane part of everyday work, every considered piece of writing carries extra weight.

Anchor articles — the foundational texts at the center of each section — are revised and rewritten by us over the course of a month. The web doesn’t have to be a churn of disposable posts.

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Our relationship with AI

We approach AI with curiosity, a degree of skepticism, and a sense of humor. We try to understand and assess its strengths and weaknesses. And no, we don’t believe a model can think. Every time we see “deep thinking” on a menu, or something like it, we recognize it as the kind of metaphor models are so fond of throwing at us. Not only do we believe AI can’t think, but we also don’t believe it can write well, which is why we publish no AI-generated articles. Models help us search, analyze, edit, and fact-check, but they do not produce the final published texts. All responsibility for what is published rests with the author and the editor-in-chief.

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No paywall, no cookies

The journal is free to read. Our economics currently rest on faith in the eponymous product, which is due to come to market in late summer 2026 and support the journal.

We don’t set cookies on our users. For analytics, we use Plausible, a privacy-friendly alternative to Google Analytics, which is why you didn’t see a cookie banner when you first arrived. We don’t know who our readers are, and we prefer it that way.

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Submission

We are open to pitches from new contributors. If you write about any of our five sections in a way you think would be a good fit, send a 200-word pitch — your angle, key arguments, and the readers it serves — to editorial@silentroom.media.

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Get in touch

For all other editorial matters — corrections, partnerships, syndication, press inquiries, letters to the editor — write to editorial@silentroom.media. We read everything. We don’t always reply, but we always read.