Model 2 — Visual Alignment Engine
A visual alignment engine — where geometry, colour, and meaning propagate through the reels.
The Spin Machine is the visual front-end of DMI: a dimensional engine that aligns human tags, machine tags, and vocabulary tags through geometric selectors and chromatic propagation. Every spin recolours the frame, recalculates curvature, and regenerates the Insight Stories — turning alignment into a visual, playable, conceptual experience.
DMI · METRIC & CHROMATIC ALIGNMENT COCKPIT
Load any registered vocabulary, switch between segmented (M3) and dynamic (M4) scopes, and watch palette, domain and drift alignment update in place.
The source is the origin of the vocabulary — the only truth. Everything else is derivative. No vocabulary extraction may occur before a source is loaded.
Vocabulary is extracted from the source — never invented, guessed, inferred, combined or edited. Extraction classifies terms into centre, source ring, palette ring and domain ring (including SOV and SOV-AI).
Alignment is computed from the extracted vocabulary — not from the source directly, not from metadata, not from previous runs.
The diagnostic phase is done. Improve Information Integrity and Contextual Consistency by editing the source, then re-extract, re-compare the rods, re-align and update the galleries. Repeat until drift is minimal.
Complete LOAD SOURCE → LOAD VOCABULARY → ALIGN to activate the loop.
Challenge Vocabulary
Palette ring · Domain ring · Source ring · Identity centre
EU Sovereignty is the global challenge. AI Sovereignty (SOV-AI) is the domain inside it that the compass measures: vocabulary terms classify into SOV-AI layers, and those readings feed the domain ring. The challenge frames the question; the domain carries the metrics.
Read the full EU Sovereignty challenge summary →Authoritative sources agree that EU AI sovereignty is the ability to develop, deploy, govern and trust AI systems without strategic dependence on non-EU actors. It is not merely autonomy: it is strategic capability, regulatory power, infrastructure control and trustworthiness — five simultaneous layers, not alternatives.
European Commission · AI Act + AI Innovation Package
Frontier models, compute, chips, data and talent. Europe builds its own AI capability, supports open-source and European foundation models, and reduces dependency on non-EU cloud and compute providers so it can shape AI according to its values and strategic interests.
European Parliament · AI governance + legal sovereignty
Legal primacy of the AI Act, governance through the AI Office and national authorities, data sovereignty via GDPR, the Data Act and data spaces, and algorithmic sovereignty through transparency, explainability and auditability. Europe sets the rules rather than following them.
European Council / Member States · strategic autonomy
Cloud, HPC and supercomputing capacity, European data spaces, cybersecurity, joint procurement of AI infrastructure and industrial resilience — the physical and institutional substrate of AI independence.
EU AI Office (2024–2026) · capability + compliance + safety
European capacity to evaluate and govern frontier AI: validation and testing centres, risk classification, evaluations, red-teaming, monitoring and enforcement. This is credibility sovereignty.
Bruegel · CEPS · EPRS · ECFR · Chatham House
Autonomy from US and Chinese AI ecosystems: strategic capability to act in AI without external constraints, control over critical AI infrastructure and standards, defence autonomy through AI, and collective European capacity to compete at scale.
Authoritative sources agree that misinformation is not a single failure of truth but a layered failure of integrity. Provenance, evidence, manipulation, amplification and resilience are simultaneous dimensions — a claim can be sourced yet unevidenced, evidenced yet manipulated, accurate yet amplified out of context.
C2PA · EBU · Reuters Institute
Where a claim came from, who published it, and whether the chain from origin to publication survives inspection: authorship, citation, content credentials, edit history and attribution of images, quotes and data.
EDMO · IFCN fact-checking standards
Whether the claim is supported by verifiable evidence: data, documents, primary reporting, reproducible measurement, and the distance between what is asserted and what is demonstrated.
EU Code of Practice on Disinformation · DSA Art. 34–35
Deliberate distortion: fabricated content, synthetic media, deceptive framing, decontextualised material, coordinated inauthentic behaviour and impersonation of trusted institutions.
DSA systemic-risk reporting · platform transparency data
How a claim travels: recommender exposure, virality, echo-chamber concentration, cross-platform propagation and the speed at which a correction can catch up with the original.
European Commission · media literacy and democratic resilience
Capacity to withstand distortion: media literacy, plural and funded journalism, institutional trust, transparent correction practice and democratic oversight of information infrastructure.
Domain readings feed the ring: 0 SOV-AI terms and 0 MIS terms of 0 in Filewide.Misinformation challenge summary →
Every extracted term, scoped to the whole corpus. The unfiltered baseline every other scope is cut from.
Switch scopes to compare polarity, colour and domain distribution.
Six thinking directions. When crisp, it activates Input + Vocabulary reels and propagates semantic tags.
Three scope partitions. When crisp, it segments meaning and reveals scope-driven machine tags.
Colour triads and domain identity. When crisp, it activates chromatic propagation, domain filtering, and the category tree.
Your tags — the human reference. Loaded from text, files, URLs, or challenge presets.
Machine-attributed tags — segmented by the Octagon. Shows consistency, cohesion, variability, and cross-segment alignment.
Reference terms — aligned with the Input on spin. Carries semantic, chromatic, and domain meaning.
Colour flashes show 100% alignment between human and machine tags.
Fill = consistency · Ring = cohesion · Pulse = variability · Links = cross-segment alignment.
Human-facing and machine-facing interpretations generated from the alignment scores.
The strongest alignment combination across scopes.
MIS · AIC · NFA · CLM · EDC
Tiny, authoritative, machine-readable calibration units.
Semantic, chromatic, domain, scope, drift-risk, stability tags.
Reels activate. Selectors propagate. Colours flash. Scores update.
Alignment scores · drift warnings · stability forecasts · insight stories · vocabulary maps · rod-set calibration reports.