ORBIT programme overview

One programme. Three directions.

ORBIT is Overdog Research in Behaviour, Inference and Theorems: AI behaviour, statistics and mathematics. Each direction has its own questions and concrete work.

We investigate them together to ask whether better representations can connect proof and behaviour. Statistical tests and formal methods help examine that possibility; they do not establish the connection.

See the directionsInspect current workRosetta Stone hypothesis
A sighthound examining an illuminated trace tape through a bench loupe, waveform screens behind, one amber lamp among the violet indicators
Plate 06 · Reading the traceOverdog archive

01AI behaviour · the Behaviour direction

How does risk develop across a multi-turn interaction?

Context, memory, tools and changing world state shape an AI system's actions. Can we recognise a developing failure across the interaction early enough for a predefined response to matter?

Current programme: CARF, the Conformal Agentic Risk Framework.

Status: Pre-deployment research. Internally reported synthetic results do not establish prospective early-warning performance.

CARF → · Worked experiment →

02Statistics · the Inference direction

What can limited or accumulating evidence justify?

What do observations support, and how uncertain is the conclusion? This direction studies sparse data, exact and sequential inference, calibration and method comparison under stated assumptions.

Current programme: exact and sequential inference.

Public software: ExactCIs, design-aware confidence intervals for 2 × 2 tables. Not every method is exact; this is not CARF validation.

Statistics → · ExactCIs →

03Mathematics · the Theorems direction

Which representations make difficult problems tractable?

Can a better representation make a difficult problem tractable? Exact objects, computation and proof support reductions and exclusions, with each implication stated explicitly.

Current programme: Erdős Basecamp.

Public result: Paper I gives 17/41 exclusions in its stated shifted-square/Lucas-sequence setting. Erdős 364 remains open.

Erdős Basecamp → · E364 and the result →

04Bridge hypothesis

Finding the mathematics between proof and behaviour.

The Rosetta Stone hypothesis asks whether representations, dynamics and constraints can transfer usefully across domains. A useful general translation has not been established.

The hypothesis and its tests →

From mathematicsExact problems
From behaviourObserved AI interactions
Hypothesis, not a resultRosetta Stone hypothesis

A candidate mathematical description of state, change, constraint and control that both routes could reach. Whether one exists, and what it would preserve, is the open question.

Statisticstests predictions and quantifies uncertainty
Formal methodscheck specified properties and transfer conditions

05Formal methods · shared layer

One shared capability, three different jobs.

Formal methods are not a fourth research direction. Always state the proposition being proved: Lean-checked is not itself the result.

Mathematics

Machine-check mathematical definitions and implications under stated hypotheses. A theorem fragment does not settle an open conjecture.

Statistics

Formalise statistical objects and guarantees where useful. Name the construction, assumptions and error or coverage property, not just the proof system.

Systems

Specify effect-authorisation and refusal rules; check refinement and conformance. A release-boundary proof does not establish upstream scientific correctness or warning performance.

06Further reading

Questions, methods and public outputs.