Glossary

The threshold where AI stops being a tool and starts being a peer.

What happens when a language model stops answering and starts doing.

The open problem of making sure an AI pursues the goal you actually meant, not a technically correct version of it.

The question nobody has settled, and everyone has an opinion on.

The (imperfect) tool trying to spot what AI wrote.

Where AI speeds the search for medicines — and where it still cannot.

Not yet law anywhere. Not purely science fiction either. The question our institutions are least prepared for.

The claim that technology keeps turning the scarce and costly into the plentiful and cheap.

The moment AI turned a fifty-year biology problem into settled fact.

The current American plan to put people back on the Moon, and keep them there.

The difference between a tool that replaces you and one that makes you formidable.

The hypothesis that AI could hand us a century of medical progress in a single decade.

Consciousness first, matter second: the usual story about mind and world, run in reverse

A runway for cargo that needs no plane and no fuel.

The difference between an AI that answers your questions and one that can walk into a room

The speed at which gravity finally stops winning.

The pattern that makes the future arrive faster than anyone expected.

The cheap final shaping that specialises a broadly trained model without rebuilding its foundation

What perception actually tracks instead of truth: how much a thing helps you survive

Run the equations and truthful perception loses to useful perception, nearly every time

The broad, general-purpose base that countless specific AI tools are built on top of

The heartbeat of how models learn — small steps, always toward fewer mistakes.

The reason a grey rock suddenly looks like a fuel depot.

Perception as a desktop of useful icons, built to hide reality rather than reveal it

The scientific effort to open the black box.

Why efficiency rarely saves as much as it promises — and creates far more than expected.

What most people mean when they say ‘AI’ these days.

The quiet assumption that distance is real — and one of two casualties of the universe's strangest experiments

The threshold at which medicine runs faster than time.

Why losing your job to a machine and the work itself vanishing are not the same thing.

The economic error that makes every new technology look like a job-killer.

The grey dust that has to become farmland and bricks.

The field asking whether the AI you're talking to can have a bad day, and what to do about it.

The category between 'mere object' and 'full person' — where animals live, and where AI may already belong.

Where engineering shrinks small enough to meet biology on its own terms.

The decision loop at the heart of how agents — and the best human decision-makers — stay ahead.

The horizon where human management becomes optional.

When a model memorizes its training data instead of learning from it.

The brain as a guessing machine that learns most from the moments it gets things wrong

A map of all possible outcomes, weighted by how likely each one is.

Two particles behaving as one system across any distance — the effect that broke locality and won a Nobel Prize

The assumption that things are there whether or not you look — and the second casualty of quantum physics

The discipline built into training to stop a model from trying too hard.

Learning by reward instead of instruction, where a system becomes whatever its signal quietly encourages

Why getting to orbit stopped being a one-time purchase.

The prejudice that says silicon can't matter morally, no matter what runs on it.

A fake that outshines the real thing, because instinct reads the cue, not the object

When a particle holds several possibilities at once — not hidden answers, but no single answer yet

The fear that technology destroys jobs permanently — predicted confidently before every major wave.

The research finding that haunted education for four decades.

Why there is something it is like to be you, and not just processing in the dark

Every expansion of moral consideration was once called absurd. The circle has never stopped growing.

The argument that we're probably living in a simulation — and the gap between its careful and loud versions

The moment AI gets so capable that the future stops being readable from the present.

The basic unit of text that language models read, think in, and count.

The friction that determines when hiring someone beats doing it yourself.

Whether a model’s confidence is something you can actually trust.