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AI Pulse

Lo que está pasando en el frente de IA

Noticias, repos y voces que vale la pena seguir. Actualizado a diario desde fuentes oficiales.

Noticias

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  • OpenAI·23 oct 2026

    Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)

    Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.

  • Hugging Face·23 oct 2026

    LitPivot: Developing research ideas through dynamic contextualization within the literature landscape

  • OpenAI·23 oct 2026

    Securing our frontier model training environment

    OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.

  • NVIDIA·23 oct 2026

    Kazakhstan Expands Compute for Its AI Future

    Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment. The shift is visible across the full AI stack — from infrastructure to models to applications. The announcements below — coinciding with a visit to Astana by NVIDIA founder and CEO Jensen Huang — point to the nation’s increasing supply of accelerated computing, along with […]

  • Hugging Face·23 oct 2026

    Does Your Model Run on AWS Trainium? Look It Up

  • OpenAI·23 oct 2026

    OpenAI and Poland’s NASK partner to advance AI safety and security

    OpenAI and Poland’s NASK are partnering on AI safety, security, and technical research to strengthen safeguards and support a more resilient digital ecosystem.

  • Hugging Face·22 oct 2026

    Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox

  • OpenAI·22 oct 2026

    Build more responsive apps with the Decisions API

    Fast, focused, low-cost decisions for any application.

  • Hugging Face·22 oct 2026

    OlmoEarth v1.3: State-of-the-art embeddings for the whole planet

  • NVIDIA·22 oct 2026

    NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories

    Launched today, NVIDIA Minerva is an AIOps platform built to help teams find problems earlier and keep AI factories productive. It brings together telemetry from infrastructure and AI workloads, then applies purpose-built AI models to turn that data into timely, actionable insight. AI factories are among the most complex operations in the world, with vast […]

  • Google DeepMind·22 oct 2026

    Beyond tree cover: mapping the world’s forest types

    A global map categorizing every 10-meter patch of land on Earth into distinct forest types.

  • NVIDIA·22 oct 2026

    Cloud Deployment Incoming: ‘Call of Duty: Modern Warfare 4’ Arrives on GeForce NOW

    Lock in and load out this GFN Thursday. Call of Duty: Modern Warfare 4 arrives on GeForce NOW at launch, bringing a new campaign, multiplayer action and DMZ, high-stakes extraction mode to supported devices. The campaign also gets an enhanced look: GeForce RTX 5080-class performance arrives for Ultimate members, bringing support for ray-tracing features in […]

  • Hugging Face·22 oct 2026

    Ensemble forecasting with IBM Granite time-series models

  • OpenAI·22 oct 2026

    What FDE means at OpenAI

    What forward deployed engineering means at OpenAI

  • NVIDIA·22 oct 2026

    Leading European Financial Services Organizations Embrace Open Models to Build Proprietary Intelligence

    At GTC Berlin, banks, payment companies and financial data providers are showing what production-scale intelligence looks like — built on NVIDIA accelerated computing, powered by open weight models and running on their own infrastructure. Revolut is rebuilding its technology stack on a single foundation model PRAGMA, powered by NVIDIA accelerated computing. Using the NVIDIA cuDF […]

  • NVIDIA·22 oct 2026

    NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models

    To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints. Ranking top five on six different open models leaderboards, the NVIDIA Cosmos platform gives world model builders the frontier open […]

  • NVIDIA·22 oct 2026

    How Companies Are Using NVIDIA DSX to Break the Power Bottleneck

    Companies around the world are building on the NVIDIA DSX AI Factory Platform to plan, simulate and run the grid and the AI factory as one system, from the substation to the rack. Their adoption of the platform responds to an acute problem. Power is now the biggest bottleneck in infrastructure. More than $300 billion […]

  • NVIDIA·22 oct 2026

    NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations

    European retailers are using open models and physical intelligence across use cases — from a commerce platform cutting inference costs by 90% to to a fulfillment center where collaboration of different robotic fleets is simulated inside a digital twin. Frontier Results With Open Models Retail leaders and technology companies across Europe are using NVIDIA-accelerated open […]

  • NVIDIA·22 oct 2026

    Pioneers Across Europe Deploy NVIDIA Earth-2 Open Models to Power Real-World Weather and Climate Prediction

    Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and transport operators to plan around changing conditions. A global forecast can show a storm taking shape, but decisions about solar farms, shipping routes or insured property depend on what happens locally. NVIDIA Earth-2 gives developers and researchers a […]

  • NVIDIA·22 oct 2026

    NVIDIA Open Models Power a New Wave of European Public Sector Projects

    Governments need modern solutions to serve the public while keeping sensitive information under their control. Open models provide a path forward, letting governments evaluate them, adapt them to local languages and public services, run them on infrastructure they control, apply their own safeguards and keep sensitive data within controlled environments. Some open models go further, […]

  • OpenAI·22 oct 2026

    Uber brings ChatGPT Work to all employees with OpenAI

    Uber is rolling out ChatGPT Work to more than 30,000 employees, helping teams research, analyze data, create presentations, and complete complex workflows.

  • OpenAI·21 oct 2026

    Broad access through consistent standards

    How OpenAI works with distribution partners to uphold consistent safeguards, support responsible access, and clarify expectations in our Usage Policies.

  • Hugging Face·21 oct 2026

    NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required

  • Hugging Face·21 oct 2026

    How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications

Repos curados

GitHub
  • n8n-io/n8n208,525

    Fair-code automation platform — what SWB uses for WhatsApp agents and integrations.

    TypeScriptautomation
  • ollama/ollama184,693
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Local LLM runtime, dead simple. `ollama run llama3` and you're done.

Gollm-runtime
  • huggingface/transformers168,120

    The library that made open-source AI accessible. Still the canonical entry point.

    Pythontools-libraries
  • comfyanonymous/ComfyUI142,751

    Node-based UI for image generation pipelines. The pro's tool of choice.

    Pythonui
  • ggerganov/llama.cpp132,280

    Run LLMs locally on CPU/GPU with quantization. The reference implementation everyone forks.

    C++llm-runtime
  • openai/whisper111,216

    The reference open-source speech-to-text model.

    Pythonaudio
  • vllm-project/vllm95,401

    High-throughput LLM serving with PagedAttention. Production-grade inference.

    Pythonllm-runtime
  • unslothai/unsloth78,531

    Fine-tune LLMs 2-5x faster with 80% less VRAM. The sane way to train.

    Pythontraining-fine-tuning
  • openai/openai-cookbook76,801

    Practical recipes — the closest thing to an official OpenAI handbook.

    Jupyter Notebooktools-libraries
  • microsoft/autogen61,554

    Multi-agent conversation framework from Microsoft Research.

    Pythonagent-frameworks
  • crewAIInc/crewAI60,080

    Role-playing autonomous AI agents collaborating on tasks.

    Pythonagent-frameworks
  • anthropics/anthropic-cookbook53,752

    Anthropic's official examples for Claude — caching, tool use, citations.

    Jupyter Notebooktools-libraries
  • langchain-ai/langgraph43,859

    Build stateful, multi-actor agent workflows as graphs.

    Pythonagent-frameworks
  • google/mediapipe37,397

    What powers the AI Vision demo on this site — on-device object detection.

    C++vision
  • qdrant/qdrant35,236

    Production-grade vector search engine. Strong indexing, Rust core.

    Rustvector-db
  • huggingface/smolagents30,034

    Minimal agent framework — code as the action space, not JSON.

    Pythonagent-frameworks
  • chroma-core/chroma29,573

    Open-source embedding database. Easiest entry point for RAG experiments.

    Rustvector-db
  • vercel/ai27,502

    The streaming-AI SDK we use for chat. Provider-agnostic + framework-native.

    TypeScripttools-libraries
  • pydantic/pydantic-ai20,849

    Type-safe AI agent framework leveraging Pydantic for structured outputs.

    Pythonagent-frameworks