ORIAS

Four territories. One habit.

Mathematics, intelligence, computation and physics are where we look for new sources of capability. The habit is the same in all four: test the idea before you fall in love with it.

Kepler's engraved model of the solar system: planetary spheres nested inside the five perfect solids.

Plate VJohannes Kepler, Mysterium Cosmographicum, 1596.

The questions we keep asking.

We are not only asking how to compute more efficiently inside the operations we already have. We want to know whether different operations could make entirely different things possible.

What can be known?

Watching what a system does is not the same as knowing how it works. Some differences stay invisible until you change how you look.

What can be computed?

A hard problem, a badly written-down problem and a truly impossible one can look the same from outside. Telling them apart is half the work.

What can be made to happen?

Describing an outcome is easy. Having a dependable method that produces it, again and again, is the hard part.

What haven't we learned to ask?

Some useful capability may not fit any category we have yet. We leave room for it on purpose.

Where we look.

Starting points, not permanent departments. Some investigations will connect them; others will lead somewhere else entirely.

Dürer's engraving Melencolia I: a winged figure among a polyhedron, a magic square and a compass.

Mathematics Plate II

When does the right mathematics change what is possible in practice?

Problems hide symmetries, invariants and structure that their first description conceals. We study representations, realisation theory, dynamical systems, optimisation and information, and we care about the moment a mathematical discovery becomes a new practical operation, not just an elegant one.

Ernst Haeckel's plate of jellyfish: trailing tentacles and intricate bells.

Intelligence Plate VII

What would thinking look like if today's AI hadn't been invented first?

Perhaps the key skill is noticing which distinctions are worth making, or knowing when your own picture of a world has stopped working. Or perhaps those are familiar ideas in new clothes. We want to find out honestly, without assuming the future of intelligence must look like the present.

Ada Lovelace's 1842 table of operations for computing Bernoulli numbers on the Analytical Engine.

Computation Plate VIII

What can we unlock without changing a single transistor?

Algorithms, representations, memory and execution models decide what existing machines can do. Some gains come from removing work; others really do need new hardware or new physical access. We are interested in the boundary.

Ada Lovelace's table for computing Bernoulli numbers, 1842: the first published algorithm for a machine.

Ernst Haeckel's plate of radiolarians: intricate, symmetrical skeletons of single-celled organisms.

Physics Plate III

What does reality permit?

Measurement, dynamics, thermodynamics and quantum systems: where the hard limits really are, and where physical processes might compute in ways nobody has used yet.

Possible is not the same as doable.

  1. It exists.

    A solution is out there, somewhere.

  2. We can find it.

    We know where to look, and how.

  3. We can compute it.

    At a cost anyone could actually pay.

  4. We can build it.

    The answer becomes a working thing.

  5. We can do it again.

    Reliably, on purpose, every time. Most of the interesting work lives in the gaps between these steps.

How we label our work.

Built

Exists and runs.

Under review

Exact checks passed inside ORIAS; not yet reviewed by specialists outside it.

Exploring

Ideas and early designs. No results claimed.

Earlier research

Work that shaped the lab and that we have moved on from.

The frontier

Open investigation. The answer is not known yet, by us or anyone.