KRAFTON opens Raon-1 mini, a 30B-class Korean coding and agent model
A Korean gaming company publishes a hybrid-attention sparse model with public preview weights, long context and separately documented inference variants.
DAILY EDITION
4 source-first briefs published in this edition.
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A Korean gaming company publishes a hybrid-attention sparse model with public preview weights, long context and separately documented inference variants.
A new 40B-class sparse model pairs downloadable Apache-2.0 weights with a dedicated agentic-coding and inference story; speed comparisons remain vendor claims.
The local model runner now offers macOS speech generation and d3 classification or scoring from prompts, structured state and images.
A Python client release improves data-pipeline freshness and job visibility, while preserving a clear boundary between Bucket updates and model-repository revisions.