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Glyph Immersive

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  1. Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs

    Glyph is a production system that uses coordinated LLM agents and a fine‑tuned MiniLM encoder to automatically generate column descriptions and assign ontology tags in enterprise data catalogs. It combines code‑grounded retrieval, regex, and contrastive vector search, achieving NDCG@10 0.92 and MAP@100 0.90, and provides auditable provenance for each tag.

    Apple Machine Learning Researchapple.com1 minpaper
  2. Cute Critters Come to the Cloud: ‘Aniimo’ Launches on GeForce NOW

    Nvidia announced that the new creature‑catching game Aniimo and several other titles are now available on GeForce NOW, with features like path‑tracing for 007 First Light and RTX 5080‑class streaming for premium members. The update also lists 11 new games joining the service and notes a day‑pass that can be applied toward a monthly membership.

    Nvidianvidia.com3 min
  3. GeoSplats: Immersive 3D Content for Real Estate

    GeoSplats are MapTiler’s embeddable 3‑D models for real‑estate sites, letting users explore properties in the browser without extra software. The article outlines a three‑step upload‑locate‑embed workflow and mentions upcoming terrain blending and annotation features.

    MapTilermaptiler.com1 min
  4. GLM 5.3 FlashX now available on AI Gateway

    Vercel AI Gateway now offers the GLM‑5.3‑FlashX model, a fast (~200 tps) multimodal coding LLM. The post includes a TypeScript streaming example, notes the model’s fit for coding agents and interactive tools, and lists AI Gateway features (unified API, usage tracking, retries/failover, custom reporting, key budgets, routing rules) with no platform fee.

    Vercelvercel.com1 minrelease
  5. OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy Learning

    OmniHarness introduces a symbolic‑policy framework that extracts reusable procedural knowledge from multimodal LLM‑driven visual generation runs. By decoupling task logic from instance inputs, the system can instantiate, adapt, and compose policies for new visual tasks, using intermediate verification for on‑the‑fly refinement while keeping the underlying model frozen. Self‑directed practice task…

    Hugging Face Daily Papersarxiv.org1 minpaper