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Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted. — Trending on GitHub today with 13 new stars.
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Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and yo…
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FinancialClaw: haciendo útil a OpenClaw para finanzas personales
Muchas veces hablamos de agentes de IA como si su mayor valor estuviera en entender lenguaje natural. Pero entender no basta. Un agente empieza a ser realmente útil cuando puede ayudar con tareas concretas, reducir fricción y hacerlo de forma consistente. FinancialClaw nació justo de esa idea. Quería que OpenClaw no solo pudiera conversar sobre finanzas personales, sino ayudarme a gestionarlas: registrar gastos, guardar ingresos, manejar pagos recurrentes y consultar resúmenes sin depender de memoria, notas sueltas o pasos manuales repetitivos. Desde el principio, el proyecto tomó una dirección clara: una herramienta personal, con persistencia local, pensada para el uso diario y con soporte multi-moneda. Lo interesante es que esa utilidad no apareció simplemente por añadir nuevas funciones
viable/strict/1775253422: Update third_party/kineto submodule to 628e1d0 (#179244)
Includes the following commits: Add host_name to OSS Kineto trace metadata via gethostname() ( pytorch/kineto#1323 ) 628e1d0 Revert D97166802 ( pytorch/kineto#1326 ) 9d7373b Fix Lingering INT32 Overflow ( pytorch/kineto#1324 ) 3a61657 Re-enabled some hardcoded tests ( pytorch/kineto#1321 ) 50a0085 Expose occupany limiting factors ( pytorch/kineto#1322 ) e19dd92 Authored with Claude. Pull Request resolved: #179244 Approved by: https://github.com/malfet
OpenAI acquires TBPN
Technical Analysis: OpenAI Acquisition of TBPN The recent acquisition of TBPN by OpenAI marks a significant development in the AI research and development landscape. This analysis will delve into the technical implications of the acquisition, the potential synergies between OpenAI and TBPN, and the potential impact on the broader AI ecosystem. TBPN Overview TBPN (Transformer-Based Pattern Networks) is a research-focused organization that has been working on developing novel transformer-based architectures for natural language processing (NLP) and computer vision tasks. Their research has primarily focused on improving the efficiency and scalability of transformer models, particularly in the context of multimodal learning and few-shot learning. Technical Synergies The acquisition of TBPN by
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