Meta releases Muse Spark 1.3 agentic coding model

A community-built ComfyUI node adds a relighting studio for MiniMax H3, letting users place up to three lights on a 3D dome around an image. Each light's type, intensity, and color are configurable, along with background and atmosphere settings.

Meta AI suggested "Who is the child passenger?" under a user's video, then surfaced her daughters' ages, home location, and a photo she says she deleted years ago. Spokesperson Dina El-Kassaby said the company "missed the mark" and that the prompt feature is fixed.

A LocalLLaMA thread asks whether small models remain viable on 8GB cards like the RTX 2050 for office work, embeddings, reranking, and chat. The poster says small models feel abandoned and asks for recent good ones.

Apple researchers trained SimpleDesign on over 2M sequence-structure pairs with a single-stage end-to-end objective, combining discrete cross-entropy for sequences and a regression objective for structures. The model skips the usual multi-stage autoencoder-plus-latent-generative pipeline and reports competitive results on co-design and unconditional sequence/structure generation benchmarks.

CapQuiz scores captions by how well they answer human-verified multiple-choice questions, spanning 10 question types across 24 video domains. The companion CapF1 metric combines CapP (factuality) and CapR (coverage), and correlates better with human judgments than existing metrics.

DiscoSign is an LLM-based framework for text-to-ASL gloss translation that handles spatial coreference, Question-Answer Clauses, and concept-gloss consistency instead of sentence-level translation. Apple says it is the first systematic framework for discourse-level text-to-sign gloss translation, with new evaluation metrics for each dimension.