<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><title>Oaica Research</title><link href="https://research.oaica.com/"/><link rel="self" href="https://research.oaica.com/feed.xml"/><id>https://research.oaica.com/</id><updated>2026-10-04T00:00:00Z</updated><author><name>Oaica Research</name></author><entry><title>AI Safety Evaluation in a Regional Language: A Case Study with a Fine-Tuned Malay Model and an Indonesian Cross-Language Probe</title><link href="https://research.oaica.com/2026/10/regional-language-llm-safety-malay-indonesian/"/><id>https://research.oaica.com/2026/10/regional-language-llm-safety-malay-indonesian/</id><updated>2026-10-04T00:00:00Z</updated><published>2026-10-02T00:00:00Z</published><summary>One changed prediction can move a Malay LLM safety subtask by up to 9 points. A study of the SEA-HELM Malay safety track, an Indonesian cross-language probe, and a checklist for any language.</summary></entry><entry><title>Malay AI Safety Evaluation: A Case Study with Oaica’s Fine-Tuned 35B-A3B Model, and an Indonesian Cross-Language Probe</title><link href="https://research.oaica.com/2026/10/malay-llm-safety-score/"/><id>https://research.oaica.com/2026/10/malay-llm-safety-score/</id><updated>2026-10-04T00:00:00Z</updated><published>2026-10-01T00:00:00Z</published><summary>How far a Malay AI safety score can be trusted. One changed prediction can move a Malay LLM safety subtask by up to 9 points. What the SEA-HELM Malay safety benchmark can and cannot resolve, with an Indonesian cross-language probe, by Oaica.</summary></entry><entry><title>Malay AI Safety Scores Measure Less Than You Think</title><link href="https://research.oaica.com/2026/10/malay-ai-safety-brief/"/><id>https://research.oaica.com/2026/10/malay-ai-safety-brief/</id><updated>2026-10-04T00:00:00Z</updated><published>2026-10-01T00:00:00Z</published><summary>Oaica, a safety-focused AI company: one changed answer can move a Malay AI safety sub-score by up to 9 points. On-premises Malay AI and safety audits.</summary></entry><entry><title>Oaica 35B-A3B Malay v1.0 260923 model family notes</title><link href="https://research.oaica.com/2026/10/malay-model-family-notes/"/><id>https://research.oaica.com/2026/10/malay-model-family-notes/</id><updated>2026-10-04T00:00:00Z</updated><published>2026-10-02T00:00:00Z</published><summary>The Oaica 35B-A3B Malay model, its safety-tuned variant and two experimental specialists: what we measured, the trade we report, and what the copy may say.</summary></entry><entry><title>A Malay AI You Can Run Yourself</title><link href="https://research.oaica.com/2026/10/malay-on-premises-ai/"/><id>https://research.oaica.com/2026/10/malay-on-premises-ai/</id><updated>2026-10-04T00:00:00Z</updated><published>2026-10-02T00:00:00Z</published><summary>Oaica&#x27;s 35B-A3B Malay model runs on your own hardware, from small GPUs to datacenter servers, with our .oqm format and a statement of what we do not claim.</summary></entry><entry><title>Measuring the Measure: Evidence and Limits</title><link href="https://research.oaica.com/2026/10/evaluation-supplement/"/><id>https://research.oaica.com/2026/10/evaluation-supplement/</id><updated>2026-10-04T00:00:00Z</updated><published>2026-10-04T00:00:00Z</published><summary>Text-free outcome counts, recomputation code and provenance limits for our Malay LLM safety case study, stating what the published evidence can and cannot establish.</summary></entry></feed>