Editorial Policy

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The short version

Inference Cafe is written by home users, DIYers, and tech enthusiasts — for home users, DIYers, and tech enthusiasts. We dig through the AI and tech news pile so you don’t have to, then explain what matters without the hype, the doom, or the 47-paragraph press release.

We are not a giant newsroom. We do not have a building full of editors, a legal department, or an accountant named Brenda. Our headquarters is a desk, a coffee mug, and a browser with too many tabs. We do this after hours, in our spare time, because we genuinely enjoy it. We hope you enjoy it too.

What we cover

We look at AI and technology from the perspective of someone who actually runs the stuff: local models, open-source tools, weird hardware, practical benchmarks, and the occasional “will this fit on my old GPU?” experiment.

We care about:

  • What a tool actually does
  • What hardware it needs
  • What it costs
  • Whether it is worth your time
  • Where the source material came from
  • What the catch is

We are less interested in press-release poetry and more interested in whether the thing works on a Tuesday.

How we use AI

We use AI. Sometimes a lot. We practice what we preach.

AI helps us summarize, draft, brainstorm headlines, clean up grammar, translate, and generally wrangle language into something readable. It is genuinely useful for language-related work — which is convenient, because these things are literally called large language models. Yes, that was the pun. You’re welcome.

But AI is a tool, not an excuse. A human reviews the work, checks the claims, and decides what gets published. If an AI-assisted sentence is wrong, that is our fault, not the model’s. We do not publish raw model output and call it journalism. We do not use AI to invent quotes, sources, or expertise. And if AI assistance is material to a post, we are happy to say so.

Accuracy and sources

We try our best to be accurate. We link to primary sources whenever possible: company announcements, model cards, GitHub repos, papers, documentation, and official filings. We distinguish between “the vendor says” and “we tested it.” We try to label estimates as estimates and benchmarks as benchmarks.

We also try to keep things readable. If a story needs a 4,000-word technical explainer, we will write one. If it needs three paragraphs and a table, we will do that instead. The goal is not to sound smart. The goal is to make the reader feel smart.

We are human. We make mistakes. When we find one, we fix it. If you find one, please tell us — politely, loudly, or with a screenshot. We appreciate all three.

What we are not

We are not a wire service. We are not a research lab. We are not your financial adviser, legal counsel, or therapist. We are not pretending to have a newsroom we do not have.

We are enthusiasts with day jobs, a curious streak, and a questionable amount of enthusiasm for quantized models. We do this because we enjoy tinkering, learning, and sharing what we find. If something here helps you avoid a bad purchase, saves you an afternoon of debugging, or just makes you smile, we have done our job.

Corrections

If we get a fact wrong, email us with the source and the correction. We will review it, update the article, and note the change where appropriate. We would rather be corrected than confidently wrong.

Contact

Questions, corrections, tips, or strongly worded opinions about token speed:

hello@inferencecafe.com

Thanks for reading. Now go tinker with something.