Welcome to Learning the World

Welcome to Learning the World.

Artificial intelligence is making all of us relearn a world we thought we understood.

Not only the technical world, but the ordinary one: how we work, write, search, make images, trust evidence, remember and decide. Adults are becoming beginners again while the institutions around us often pretend that nothing fundamental has changed.

The name comes, with admiration, from Ken MacLeod’s novel Learning the World. It is a first-contact story in which two civilisations discover that reality is larger than the categories they brought to it. AI is not an alien species, and fluency is not consciousness. But first contact is a useful metaphor for a moment in which familiar words—intelligence, creativity, authorship, expertise and work—no longer hold still.

I have spent much of my adult life on both sides of the media: first as a journalist, and now for a decade as a publicist. I have been a consumer and producer of news, sometimes within the same hour. That has taught me that media is never simply information. It creates routines and communities; it leaves memories. We can feel nostalgic for a publication or group of writers because personality and form become part of how an era felt.

AI is changing both sides of that relationship. It can accelerate research, drafting, image production, translation and summary. It can also flatten voice, conceal uncertainty, manufacture plausible rubbish and detach information from the people who produced it. It promises useful tools and disposable abundance at once.

Learning the World will record that transition from inside it. This is not a complete AI news service or a confident map of the singularity. It is a field journal: essays, observations, experiments, fragments and corrections about what the news means for work, media, culture, memory, institutions and ordinary life.

The form owes something to the early blogosphere I remember: personal, chronological, provisional and willing to think in public. The best blogs understood that a writer’s curiosity, judgement and changing mind were reasons to return. That spirit matters more when competent prose and confident answers can be generated on demand.

The site is organised simply. Home presents the latest work and About explains the project. The journalism itself appears in three sections.

News will follow the developments changing what AI can do, who controls it and how it enters everyday life.

Opinion will interpret what those developments mean for work, media, culture, memory and the institutions being rebuilt around us.

Interviews will bring in the people building, using, studying, resisting and living through the transition.

These sections are starting points, not walls. The website itself is part of the experiment and will change in public as I learn what the publication needs.

AI will be both a subject and an instrument here. I will use it when it genuinely helps, but not as a ventriloquist. Machine-generated summaries will be labelled and reviewed; sources will matter; editorial responsibility will remain human and mine.

I am interested in readers who are curious without requiring certainty: people using these systems, building them, worried about them or simply sensing that everyday life has begun to change. Send examples. Disagree. Point to what is missing. Help preserve the things that should survive.

If this is a ride towards something people will eventually call the singularity, it does not look like one blinding event. It looks like meetings, classrooms, headlines, family conversations and browser tabs. The transformation becomes real when it enters ordinary life.

That is where Learning the World will be looking.

The world we thought we knew is rewriting itself. These are notes from first contact.