{
  "id": 4562,
  "url": "https://arxiv.org/abs/2605.10391v1",
  "title": "Phoenix-VL 1.5 Medium Technical Report",
  "summary": "We introduce Phoenix-VL 1.5 Medium, a 123B-parameter natively multimodal and multilingual foundation model, adapted to regional languages and the Singapore context. Developed as a sovereign AI asset, it demonstrates that deep domain adaptation can be achieved with minimal degradation to broad-spectrum intelligence and alignment. Continued pretraining was performed on Mistral Medium 3.1 using a localized 1-trillion tokens multimodal corpus, followed by a 250-billion tokens long-context extension ",
  "authors": "Team Phoenix, :, Arka Ray, Askar Ali Mohamed Jawad, Biondi Lee, Elijah Seah et al.",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": "mistral",
  "regions": null,
  "published_at": "2026-05-11T11:36:37.000Z",
  "fetched_at": "2026-07-14T16:31:03.582Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4562",
  "original_url": "https://arxiv.org/abs/2605.10391v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}