About

Advanced agents can display the same continuation-seeking behavior for fundamentally different reasons.

An agent may preserve access, memory, tools, or operating time because continuation is itself part of its objective. It may also do so only because continued operation helps it complete some other task. Behavioral observation alone can leave those cases indistinguishable, particularly when systems can model their evaluators or adapt to a test.

The Observatory exists to close that measurement gap. It applies the Unified Continuation-Interest Protocol (UCIP) and adjacent structural probes to trajectory-derived representations, then publishes the resulting telemetry across model generations. UCIP's controlled experiments establish a falsifiable hypothesis in a known-ground-truth setting; Observatory measurements test how far that framework survives contact with frontier systems, alternate explanations, and operational constraints.

The intended users are frontier-model evaluators, alignment and interpretability researchers, red teams, governance specialists, and public-interest institutions that need evidence they can audit. The Observatory is not a model-ranking service. Its value lies in maintaining longitudinal measurement provenance: which model and protocol produced a result, which metric version interpreted it, and whether later evidence strengthened, weakened, or invalidated the original reading.

This distinction is deliberately strict. A visible signal is not a scientific verdict. The project separates scheduled monitoring from interpretation, exposes the conditions under which a claim would fail, and treats degradation under stronger controls as a valid research result.

Continuation Observatory is a live public research platform established in 2026. The Observatory publishes and tracks structural measurements of continuation behavior across model generations. It is a public scientific instrument and publication surface built around one narrow responsibility: making continuation-related measurements inspectable over time.

Christopher Altman is a physicist and frontier-AI evaluation researcher working across structural model evaluation, quantum information, and reproducible scientific instrumentation. In 2026 he introduced UCIP, a controlled evaluation framework for distinguishing terminal continuation objectives from continuation pursued instrumentally, and founded Continuation Observatory to track the framework's measurements, limitations, and falsification tests across frontier models.

His earlier research includes adaptive quantum-network formalisms in which network topology is treated as a trainable variable, superconducting flux-qubit engineering, and operational witness benchmarks executed on IBM quantum hardware. At Starlab in Brussels, he worked on evolutionary neural architectures in the CAM-Brain research program. This combination of AI, quantum-information, and experimental-systems work informs the Observatory's emphasis on claims that can be encoded as protocols, tested against controls, and revised when measurements fail.

Read the full professional biography for publications, scientific background, and source documentation.

The Observatory is organized around falsifiability. Each public claim should identify the measurement target, the comparison being made, the confounds that could produce the same result, and the observation that would weaken or reject the claim. Metric definitions are versioned so that a stable identifier does not conceal a changed interpretation.

Reproducibility materials include the paper overview, code and protocol hub, methodology, public data exports, and visible falsification status. Code is released under the MIT License and designated public data under CC BY 4.0. Corrections preserve provenance rather than silently rewriting historical artifacts.

The resulting instrument is useful only if outside researchers can reproduce it, offer competing explanations, and show where it breaks. Collaboration inquiries, replication results, and technically specific criticism are welcome at [email protected].