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“AI Code Guide”

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Show HN: Alternative to Nvidia Auto-Ontology

This repo provides an alternative to the ontology compiling capabilities of NVIDA Auto-Ontology.The main difference is that it builds the ontology from most of your existing data assets (transformation code, dashboards, docs), instead of building it from your warehouse and semantic layer only.It consists in skills and python scripts that ingest the metadata and docs your team already has, and compile them into YAML and Markdown files structured in a file tree that an agent can use as context to query your data.When your existing asset contradict, or reveal a gap in the business context around your data, it writes down questions for you and your team instead of guessing a plausible meaning.It runs locally in any coding agent. Comments URL: https://news.ycombinator.com/item?id=50363667 Points: 1 # Comments: 0

英伟达 · docs · Layer뉴스 읽기 ↗
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Show HN: TubeHaus – Open-source YouTube app for Android, desktop and TV

Article URL: https://github.com/biolend83/tubehaus Comments URL: https://news.ycombinator.com/item?id=50363507 Points: 1 # Comments: 0

YouTube · Apple · Background뉴스 읽기 ↗
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v0.44.0

ComfyUI v0.44.0 introduces multiple new partner nodes for tools like Patina, VEED, BFL, Ideogram, Pruna, MiniMax, Topaz, Sonilo, and OpenAI, adding features such as higher resolution video upscaling, context window editing, and new models. Enhancements include support for ProRes and custom chroma subsampling in video saving, improved frontend handling with pinned versions, optimized tensor comparisons, and better VAE compute dtype control. Performance optimizations address redundant concatenations and memory management, while bug fixes resolve crashes related to VAE decoding and prefetch queue cleanup. The release also updates workflow templates, embedded documentation, and default settings, with contributions from new developers.

OpenAI · v0 · ComfyUI뉴스 읽기 ↗
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v1.19.0 - Trace Your Workflows, Layer by Layer

Dify 1.19.0 enhances observability with nested workflow tracing, allowing users to follow execution steps inside Workflow Tools, inspect LLM calls, and maintain context across nested invocations. The release also enables portable app packages via App packages, improves Agent file uploads and previews, introduces Skill Hub automation through CLI commands, and upgrades the bundled plugin daemon to version 0.6.14-local. Key changes include support for format v2 app packages, enhanced security, improved editing workflows, and updated environment variables and API endpoints.

Layer · Dify · Updated뉴스 읽기 ↗
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Diagnose Distributed AI Workload Failures with NVIDIA Attribution

In distributed AI workloads, a single error can produce a cascade of symptoms. A GPU or fabric event may surface as NCCL errors on other ranks, scheduler state...

英伟达 · Fabric · Output뉴스 읽기 ↗
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Tencent Hy4 now available on AI Gateway

Hy4, Tencent's latest AI model with vision capabilities, is now available on Vercel's AI Gateway at 50% off through December 31, 2026. It supports reasoning, tool calling, structured outputs, image input, and a 1M-token context window. Hy4 excels in detailed image analysis, complex chart reading, and computer use across command-line and graphical interfaces. It outperforms its preview version in instruction following, long-context handling, and deep research tasks. Users can access it via the model name 'tencent/hy4' in supported tools like Claude Code, Codex, and Cursor after setting up the Vercel CLI. AI Gateway offers unified API access, usage tracking, cost management, and performance optimizations with no markup or platform fees.

Claude · Window · Chart뉴스 읽기 ↗
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How to build evidence-grounded agent memory with OpenWiki and Graphs

LangChain used OpenWiki, its open-source wiki compiler, and an evidence graph to build a persistent memory layer that preserves knowledge for agents to reuse across tasks. Learn how.

LangChain · Layer · Relevant뉴스 읽기 ↗
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b11946

server : add realtime conversation and transcription on /v1/realtime (#31269) * server : add realtime conversation and transcription on /v1/realtime Co-authored-by: Xuan Son Nguyen Assisted-by: Claude Opus 5.5 * examples : default the realtime client to the server port 9931 Assisted-by: Claude Opus 5.5 * server : sample realtime responses right after their own decode Slots respond in turns on one context: sampling at the start of the next step read the logits of whichever slot decoded last, so concurrent sessions mixed their outputs. Assisted-by: Claude Opus 5.5 * move more stuff to server-realtime, making it self-contained * examples : fix the type check of the realtime client Assisted-by: Claude Opus 5.5 * examples : use the model card prompts in the realtime client Assisted-by: Claude O

Claude · Opus · Sessions뉴스 읽기 ↗
뉴스 기사arXiv cs.CL

해석하기 전에 감지하기: LLM에서의 페르투베이션 기반 입력 모호성 감지

arXiv:2610.36353v1 발표 유형: 신규 초록: 대규모 언어 모델(LLM)은 종종 모호한 입력에 대해 하나의 의도된 의미만 있는 것처럼 답변합니다. 이는 문제가 되는데, 입력의 모호성은 불확실성의 상류 원천이기 때문입니다. 즉, 프롬프트가 여러 가지 타당한 해석을 허용할 때, 핵심 질문은 모델이 과연 직접 답변을 해야 하는지 여부입니다. 기존의 입력 불확실성 처리 방법들은 종종 LLM이 생성한 문장이나 명확화에 의존하지만, 이러한 변환 과정 자체가 모호성을 측정하기 전에 이미 입력을 해석해 버릴 수 있습니다. 우리는 입력 모호성 감지를 위한 라벨 보존형 페르투베이션 프레임워크를 제안하며, 이 프레임워크에서는 페르투베이션이 원래 입력에 가까운 상태로 유지되면서 동시에 해당 입력의 라벨을 보존합니다. 우리는 이 원칙을 두 가지 감지기로 구현했습니다: 블랙박스 기반 규칙 기반 페르투베이션 라이브러리와

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b11951

chat : stop qwen3-coder reasoning and content before template separators (#30557) * chat : strip trailing whitespace from parsed reasoning and content Assisted-by: Claude Fable 5.1 * chat : stop qwen3-coder reasoning and content before template separators Assisted-by: Claude * tests : remove the Qwen parser case from the chat session tests Assisted-by: Claude * common : handle partial prefix until match at end of generation --------- Co-authored-by: Zeshawn Zahid Co-authored-by: Alde Rojas **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11951/llama-b11951-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel

Claude · Fable · Fable 5뉴스 읽기 ↗