Skylina is a General-Purpose AI System (GPAIS) provider under the EU AI Act (Regulation (EU) 2024/1689). Each AI model we use is documented below with its risk classification, training data summary, known limitations, and failure modes. All Skylina models are classified as limited risk — no high-risk systems under Annex III.
| Model | Format | Provider | Risk Classification | EU AI Act Basis |
|---|---|---|---|---|
| FLUX (image generation) | Image | Blackforest Labs via Sapiom | Limited Risk | Article 53(1)(b) GPAIS |
| Sora 2 (video generation) | Video | OpenAI via Sapiom | Limited Risk | Article 53(1)(b) GPAIS |
| MusicGen (audio generation) | Music | Meta AI via Sapiom | Limited Risk | Article 53(1)(b) GPAIS |
| Claude (code generation) | Code | Anthropic | Limited Risk | Article 53(1)(b) GPAIS |
No Skylina models fall under Annex III high-risk AI systems. All are subject to GPAIS transparency obligations (Articles 53–56).
| Capability | Known Limitation / Failure Mode |
|---|---|
| Realistic motion generation | May produce physically impossible motion; physics simulation is approximate |
| Object persistence | Objects may change appearance or disappear in longer clips |
| Text rendering | Significantly less reliable than image models for readable text in video |
| Fine detail preservation | Small details may blur or distort across frames |
| Complex scene physics | Multi-object interactions, collisions, and reflections may appear unnatural |
| Consistent character animation | Character appearance may drift subtly over multi-second clips |
OpenAI Sora transparency: openai.com/sora
| Capability | Known Limitation / Failure Mode |
|---|---|
| Text rendering in images | Highly unreliable — significant misspellings, wrong characters, extra letters; do not use for legible text generation |
| Celebrity / person likeness | May produce recognizable figures from training data; check outputs for unintended likeness |
| Complex spatial layouts | May confuse spatial relationships (e.g., left/right, inside/outside) |
| Fine text/UI elements | UI mockups, code screenshots, diagrams may have artifacts or garbled content |
| Style consistency | Specific brand styles or character consistency across multiple images requires precise prompting |
FLUX model documentation: blackforestlabs.ai/flux
| Capability | Known Limitation / Failure Mode |
|---|---|
| Genre-specific generation | Highly specialized genres (e.g., classical counterpoint, advanced jazz) may not be generated accurately |
| Lyrics/singing generation | Not designed for lyrical singing — primarily generates instrumental tracks; voice simulation is limited |
| Long-form composition | Longer pieces (>2 minutes) may lose thematic coherence; use shorter clips for best results |
| Commercial licensing | Generated music is an AI interpretation and may not be suitable for synchronization licensing (film/TV/advertising) without additional clearance — user bears responsibility for licensing compliance |
| Melody accuracy | May generate melodies that closely resemble known copyrighted works — review outputs before commercial release |
MusicGen research: ai.meta.com/blog/musicgen
| Capability | Known Limitation / Failure Mode |
|---|---|
| Multi-language code generation | May generate outdated API patterns or deprecated library versions — always check against current docs |
| Code explanation and review | Cannot execute, test, or verify correctness — outputs are guidance, not verified code |
| Security vulnerability detection | May miss subtle injection flaws, race conditions, or authentication bypass vulnerabilities |
| Architecture suggestions | Recommendations may not match your specific infrastructure, deployment constraints, or existing codebase |
| Recent library/version knowledge | Knowledge cutoff means newest libraries and frameworks may be described incorrectly or missing |
| Long code generation | Very long files may have inconsistencies or subtle bugs — prefer modular, short functions |
Anthropic Claude transparency: anthropic.com/about/policies | docs.anthropic.com
Skylina is a provider of General-Purpose AI Models (GPAIS) under EU AI Act (Regulation (EU) 2024/1689, in force August 2026). We comply with GPAIS obligations:
High-risk classification: Skylina does not fall under EU AI Act Annex III (high-risk AI systems) as it does not target the fundamental rights applications listed therein (biometrics, critical infrastructure, education, employment, law enforcement, etc.).
Energy disclosure: Skylina relies on external model providers (OpenAI, Blackforest Labs, Meta AI, Anthropic) for computation. Energy consumption data is reported by those providers; Skylina does not operate dedicated GPU infrastructure.
When we switch to a materially different AI model (different provider, significantly different capabilities, or known training data changes), we update this page within 30 days and document the change in our Transparency Report. Minor model updates (bug fixes, efficiency improvements from the same provider) are noted in release notes.
Questions about our AI models or EU AI Act compliance: ai-transparency@skylinaai.com