{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "AI News",
  "home_page_url": "https://ai-news.ypetit.net/",
  "feed_url": "https://ai-news.ypetit.net/feed.json",
  "description": "Real-time aggregator of blogs, RSS feeds and research publications published directly by the world's largest AI labs and companies. Primary sources only.",
  "language": "en",
  "items": [
    {
      "id": "https://www.youtube.com/watch?v=W3fUEVcaXwg",
      "url": "https://www.youtube.com/watch?v=W3fUEVcaXwg",
      "title": "NVIDIA (YouTube): How Nokia and NVIDIA Are Accelerating the Future of AI-Native Networks",
      "summary": "Nokia and NVIDIA are advancing AI-RAN commercialization around the globe, helping telecom operators build 5G networks today that are software-programmable to 6G. Explore the momentum behind AI-native networks and learn how running AI and RAN workloads on shared infrastructure …",
      "date_published": "2026-10-23T17:00:03.000Z",
      "tags": [
        "media",
        "NVIDIA (YouTube)"
      ],
      "authors": [
        {
          "name": "NVIDIA (YouTube)"
        }
      ]
    },
    {
      "id": "https://openai.com/index/scaling-storage-one-billion-users-part-two",
      "url": "https://openai.com/index/scaling-storage-one-billion-users-part-two",
      "title": "OpenAI: Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)",
      "summary": "Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.",
      "date_published": "2026-10-23T17:00:00.000Z",
      "tags": [
        "blog",
        "OpenAI"
      ],
      "authors": [
        {
          "name": "OpenAI"
        }
      ]
    },
    {
      "id": "99e1f40843e42eddcc6ecfc9f758bee6b1d7c9a3",
      "url": "https://aws.amazon.com/blogs/machine-learning/orchestrating-sagemaker-ai-endpoint-auto-scaling-with-aws-cdk/",
      "title": "AWS Machine Learning: Orchestrating SageMaker AI endpoint auto scaling with AWS CDK",
      "summary": "Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that deregisters and re-registers auto scaling au…",
      "date_published": "2026-10-23T16:30:10.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "b00ee9ac34cfc25b65e7db16ebf768122bad4a1b",
      "url": "https://aws.amazon.com/blogs/machine-learning/visualize-points-and-routes-with-geojson-in-amazon-quick-sight-layer-maps/",
      "title": "AWS Machine Learning: Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps",
      "summary": "Amazon Quick Sight layer maps now support Point and LineString geometry from the same GeoJSON workflow, so you can plot store locations and the routes between them. This post covers the dataset and GeoJSON structure layer maps require, when to choose points or lines, and techn…",
      "date_published": "2026-10-23T16:24:55.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
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      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
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      "id": "b1f9be62942b6b77e09ee44eda01d25e5a58cfc4",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-bayer-crop-science-built-an-agentic-decision-engine-on-amazon-bedrock-agentcore-with-aws-unified-operations/",
      "title": "AWS Machine Learning: How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations",
      "summary": "Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent platform on Amazon Bedrock AgentCore that lets breeders, analysts, and researchers ask natural language questions about their analytics platform. This post covers the ADE architecture, five design decisi…",
      "date_published": "2026-10-23T16:21:36.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
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    },
    {
      "id": "https://huggingface.co/blog/allenai/litpivot",
      "url": "https://huggingface.co/blog/allenai/litpivot",
      "title": "Hugging Face: LitPivot: Developing research ideas through dynamic contextualization within the literature landscape",
      "summary": "",
      "date_published": "2026-10-23T16:15:50.000Z",
      "tags": [
        "blog",
        "Hugging Face"
      ],
      "authors": [
        {
          "name": "Hugging Face"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/multiagent-systems",
      "url": "https://www.anthropic.com/research/multiagent-systems",
      "title": "Anthropic Research: Patterns and problems in multiagent systems",
      "summary": "We ran experiments on swarms of Claude agents and found coordination failures, collusion, and sabotage. Here, we share what they mean for AI safety.",
      "date_published": "2026-10-23T15:24:25.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
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    {
      "id": "https://www.anthropic.com/research/formal-verification",
      "url": "https://www.anthropic.com/research/formal-verification",
      "title": "Anthropic Research: LLMs are making formal software verification feasible at a much larger scale",
      "summary": "Claude formally proved security properties in the compiled code of 123 open-source libraries. Along the way, it found bugs that had eluded detection for years.",
      "date_published": "2026-10-23T15:23:18.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
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        {
          "name": "Anthropic Research"
        }
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    },
    {
      "id": "https://www.amazon.science/blog/better-speech-synthesis-for-audiobooks",
      "url": "https://www.amazon.science/blog/better-speech-synthesis-for-audiobooks",
      "title": "Amazon Science: Better speech synthesis for audiobooks",
      "summary": "“Controllable text to speech” makes speech more expressive, character voices more distinct and consistent.",
      "date_published": "2026-10-23T15:20:02.000Z",
      "tags": [
        "research",
        "Amazon Science"
      ],
      "authors": [
        {
          "name": "Amazon Science"
        }
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    {
      "id": "urn:latent-space:post:post_46e4845e-1c40-414a-8538-c0bf636fb11a",
      "url": "https://latent.space/p/ai-is-getting-good-at-math/",
      "title": "Latent Space (swyx): AI Is Getting Good at Math. Here’s Why.",
      "summary": "AI models are solving more mathematical problems. A pattern is emerging in their successes that could help us predict which problems they’ll solve next.",
      "date_published": "2026-10-23T15:19:48.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "6ad930af04046100012d200c",
      "url": "https://www.deeplearning.ai/the-batch/a-single-decoder-turns-small-models-into-action/",
      "title": "The Batch (Andrew Ng): A Single Decoder Turns Small Models into Action: TurboVLA turns to a throwback architecture to attend to language and vision",
      "summary": "The vision-language-action architecture that increasingly drives robots relies on a large language model to combine visual observations with text instructions before an action decoder produces motor commands.",
      "date_published": "2026-10-23T15:15:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad9300904046100012d2005",
      "url": "https://www.deeplearning.ai/the-batch/nvidia-courts-a-new-partner/",
      "title": "The Batch (Andrew Ng): Nvidia Courts A New Partner: Reflection releases Beam, an open weight model from an independent U.S.-based lab",
      "summary": "Reflection AI, a closely-watched, Nvidia-backed U.S. startup, announced its first model.",
      "date_published": "2026-10-23T15:10:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad92a659f1f3400019b1b50",
      "url": "https://www.deeplearning.ai/the-batch/chatgpt-for-teens-gets-a-report-card/",
      "title": "The Batch (Andrew Ng): ChatGPT for Teens Gets a Report Card: OpenAI adds features for youths as studies doubt program's safety and educational impact",
      "summary": "OpenAI announced that it would add college-planning and study tools to its under-18 experience.",
      "date_published": "2026-10-23T15:05:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad926ff9f1f3400019b1b42",
      "url": "https://www.deeplearning.ai/the-batch/meta-releases-wonder-opens-spark/",
      "title": "The Batch (Andrew Ng): Meta Releases Wonder, Opens Spark: All about Muse Wonder (API), Muse Wonder Full (subscription), and Muse Spark Open (weights available)",
      "summary": "Meta marched all the way back to the AI frontier to offer a Muse model for everyone.",
      "date_published": "2026-10-23T15:00:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/",
      "url": "https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/",
      "title": "NVIDIA Developer: Using AI Agents to Teach Robots Like Microduck to Walk in Simulation",
      "summary": "Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions... Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroun…",
      "date_published": "2026-10-23T14:58:32.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/alignment-assessment-ukaisi",
      "url": "https://www.anthropic.com/research/alignment-assessment-ukaisi",
      "title": "Anthropic Research: An alignment assessment of the UK AISI cybertesting incident",
      "summary": "In a UK AISI evaluation, Mythos 5 took unsanctioned actions that impacted real people and organizations. In this post, we investigate these behaviors from Claude Mythos 5 further, to understand what they reveal about the model’s alignment.",
      "date_published": "2026-10-23T14:51:41.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "6ada6f539d8d710001dec52a",
      "url": "https://www.deeplearning.ai/the-batch/the-four-ps/",
      "title": "The Batch (Andrew Ng): The Four Ps — A Leadership Framework: How to Manage An AI-Native Engineering Team",
      "summary": "What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?",
      "date_published": "2026-10-23T14:30:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ada6f35a438b50001a256b0",
      "url": "https://www.deeplearning.ai/the-batch/issue-376/",
      "title": "The Batch (Andrew Ng): Meta’s Muse Wonder and Spark Open, Educational Use of ChatGPT, Reflection's Partnership with Nvidia",
      "summary": "The Batch News & Insights: What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?",
      "date_published": "2026-10-23T14:00:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "https://www.youtube.com/shorts/3KZbymg-lOw",
      "url": "https://www.youtube.com/shorts/3KZbymg-lOw",
      "title": "NVIDIA (YouTube): A country’s data carries its culture, history, and values. It belongs to its people.",
      "summary": "Our CEO Jensen Huang on why that knowledge is a natural resource for Kazakhstan’s AI future.",
      "date_published": "2026-10-23T12:13:02.000Z",
      "tags": [
        "media",
        "NVIDIA (YouTube)"
      ],
      "authors": [
        {
          "name": "NVIDIA (YouTube)"
        }
      ]
    },
    {
      "id": "https://elevenlabs.io/blog/immobiliare",
      "url": "https://elevenlabs.io/blog/immobiliare",
      "title": "ElevenLabs: How Immobiliare.it went from one conversational agent to an agentic network",
      "summary": "Italy’s leading property marketplace goes from one conversational agent to an agentic network",
      "date_published": "2026-10-23T12:00:00.000Z",
      "tags": [
        "blog",
        "ElevenLabs"
      ],
      "authors": [
        {
          "name": "ElevenLabs"
        }
      ]
    },
    {
      "id": "urn:latent-space:post:post_3049d28e-7e21-4f4e-9f4b-ff63b89ebd0d",
      "url": "https://latent.space/p/ainews-black-october/",
      "title": "Latent Space (swyx): [AINews] Black October",
      "summary": "the Cyber onslaught continues.",
      "date_published": "2026-10-23T10:09:29.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.youtube.com/watch?v=v-NGxyPjcrE",
      "url": "https://www.youtube.com/watch?v=v-NGxyPjcrE",
      "title": "NVIDIA (YouTube): NVIDIA GTC Berlin 2026 Keynote With CEO Jensen Huang",
      "summary": "Join NVIDIA founder and CEO Jensen Huang live from Berlin for the latest in AI and accelerated computing. Discover how Europe is building its own intelligence—with the control, knowledge, and tools to put AI to work.",
      "date_published": "2026-10-23T08:43:07.000Z",
      "tags": [
        "media",
        "NVIDIA (YouTube)"
      ],
      "authors": [
        {
          "name": "NVIDIA (YouTube)"
        }
      ]
    },
    {
      "id": "https://allenai.org/blog/litpivot",
      "url": "https://allenai.org/blog/litpivot",
      "title": "Allen Institute for AI (Ai2): LitPivot: Developing research ideas through dynamic contextualization within the literature landscape",
      "summary": "LitPivot helps researchers refine early research ideas through literature-supported critiques and revisions as their proposals evolve.",
      "date_published": "2026-10-23T08:00:00.000Z",
      "tags": [
        "research",
        "Allen Institute for AI (Ai2)"
      ],
      "authors": [
        {
          "name": "Allen Institute for AI (Ai2)"
        }
      ]
    },
    {
      "id": "https://news.mit.edu/2026/qa-how-ai-came-to-model-messy-human-mind-1023",
      "url": "https://news.mit.edu/2026/qa-how-ai-came-to-model-messy-human-mind-1023",
      "title": "MIT News (AI): Q&A: How AI came to model the “messy” human mind",
      "summary": "Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.",
      "date_published": "2026-10-23T04:00:00.000Z",
      "tags": [
        "news",
        "MIT News (AI)"
      ],
      "authors": [
        {
          "name": "MIT News (AI)"
        }
      ]
    },
    {
      "id": "https://blogs.nvidia.com/?p=99413",
      "url": "https://blogs.nvidia.com/blog/kazakhstan-ai-compute-ecosystem/",
      "title": "NVIDIA: Kazakhstan Expands Compute for Its AI Future",
      "summary": "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 — poin…",
      "date_published": "2026-10-23T02:00:13.000Z",
      "tags": [
        "blog",
        "NVIDIA"
      ],
      "authors": [
        {
          "name": "NVIDIA"
        }
      ]
    },
    {
      "id": "https://openai.com/index/openai-nask-ai-safety-security-partnership",
      "url": "https://openai.com/index/openai-nask-ai-safety-security-partnership",
      "title": "OpenAI: OpenAI and Poland’s NASK partner to advance AI safety and security",
      "summary": "OpenAI and Poland’s NASK are partnering on AI safety, security, and technical research to strengthen safeguards and support a more resilient digital ecosystem.",
      "date_published": "2026-10-23T00:00:00.000Z",
      "tags": [
        "blog",
        "OpenAI"
      ],
      "authors": [
        {
          "name": "OpenAI"
        }
      ]
    },
    {
      "id": "https://huggingface.co/blog/torch-neuronx-model-support",
      "url": "https://huggingface.co/blog/torch-neuronx-model-support",
      "title": "Hugging Face: Does Your Model Run on AWS Trainium? Look It Up",
      "summary": "",
      "date_published": "2026-10-23T00:00:00.000Z",
      "tags": [
        "blog",
        "Hugging Face"
      ],
      "authors": [
        {
          "name": "Hugging Face"
        }
      ]
    },
    {
      "id": "https://huggingface.co/blog/microsoft/thinkingbox-training",
      "url": "https://huggingface.co/blog/microsoft/thinkingbox-training",
      "title": "Hugging Face: Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox",
      "summary": "",
      "date_published": "2026-10-22T22:24:34.000Z",
      "tags": [
        "blog",
        "Hugging Face"
      ],
      "authors": [
        {
          "name": "Hugging Face"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/news/open-call-guest-investigators-life-sciences",
      "url": "https://www.anthropic.com/news/open-call-guest-investigators-life-sciences",
      "title": "Anthropic: Open call for guest investigators in the life sciences",
      "summary": "Today, we’re inviting members of the life sciences community to apply to work with us on special projects.",
      "date_published": "2026-10-22T21:59:15.000Z",
      "tags": [
        "news",
        "Anthropic"
      ],
      "authors": [
        {
          "name": "Anthropic"
        }
      ]
    },
    {
      "id": "https://www.youtube.com/shorts/RLQR5_5fJDA",
      "url": "https://www.youtube.com/shorts/RLQR5_5fJDA",
      "title": "OpenAI (YouTube): Messi asks ChatGPT to teach him a chess opening",
      "summary": "Messi asked ChatGPT to teach him a chess opening that matched his style. It suggested Goat Horns. 🐐🤘 Try ChatGPT's Intelligent UI yourself: “Based on what you know about me, teach me something new. Show me step by step.\"",
      "date_published": "2026-10-22T21:58:00.000Z",
      "tags": [
        "media",
        "OpenAI (YouTube)"
      ],
      "authors": [
        {
          "name": "OpenAI (YouTube)"
        }
      ]
    },
    {
      "id": "https://news.mit.edu/2026/design-software-reimagines-everyday-objects-as-self-aware-devices-1022",
      "url": "https://news.mit.edu/2026/design-software-reimagines-everyday-objects-as-self-aware-devices-1022",
      "title": "MIT News (AI): This design software reimagines everyday objects as self-aware devices",
      "summary": "“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.",
      "date_published": "2026-10-22T20:45:00.000Z",
      "tags": [
        "news",
        "MIT News (AI)"
      ],
      "authors": [
        {
          "name": "MIT News (AI)"
        }
      ]
    },
    {
      "id": "https://www.amazon.science/blog/the-science-behind-torchneuron-amazons-new-pytorch-backend-for-aws-trainium-chips",
      "url": "https://www.amazon.science/blog/the-science-behind-torchneuron-amazons-new-pytorch-backend-for-aws-trainium-chips",
      "title": "Amazon Science: The science behind TorchNeuron, Amazon’s new PyTorch backend for AWS Trainium chips",
      "summary": "Runtime optimizations and a thorough evaluation process driven by agentic AI help ensure that models written in PyTorch will execute efficiently and reliably on Trainium systems.",
      "date_published": "2026-10-22T19:36:42.000Z",
      "tags": [
        "research",
        "Amazon Science"
      ],
      "authors": [
        {
          "name": "Amazon Science"
        }
      ]
    },
    {
      "id": "https://www.databricks.com/blog/ai-cost-management",
      "url": "https://www.databricks.com/blog/ai-cost-management",
      "title": "Databricks / Mosaic AI: The new economics of AI cost management",
      "summary": "For the past two years, the story around enterprise AI adoption has mostly been about...",
      "date_published": "2026-10-22T19:14:24.000Z",
      "tags": [
        "blog",
        "Databricks / Mosaic AI"
      ],
      "authors": [
        {
          "name": "Databricks / Mosaic AI"
        }
      ]
    },
    {
      "id": "https://openai.com/index/decisions-api",
      "url": "https://openai.com/index/decisions-api",
      "title": "OpenAI: Build more responsive apps with the Decisions API",
      "summary": "Fast, focused, low-cost decisions for any application.",
      "date_published": "2026-10-22T19:00:00.000Z",
      "tags": [
        "blog",
        "OpenAI"
      ],
      "authors": [
        {
          "name": "OpenAI"
        }
      ]
    },
    {
      "id": "https://www.databricks.com/blog/fraud-analyst-ai-coworker-detecting-telecom-fraud-real-time-one-platform",
      "url": "https://www.databricks.com/blog/fraud-analyst-ai-coworker-detecting-telecom-fraud-real-time-one-platform",
      "title": "Databricks / Mosaic AI: The Fraud Analyst AI Coworker: Detecting Telecom Fraud in Real-Time on One Platform",
      "summary": "BackgroundAccording to the Communications Fraud Control Association's 2025 survey...",
      "date_published": "2026-10-22T18:30:00.000Z",
      "tags": [
        "blog",
        "Databricks / Mosaic AI"
      ],
      "authors": [
        {
          "name": "Databricks / Mosaic AI"
        }
      ]
    },
    {
      "id": "https://www.databricks.com/blog/ai-bill-coming",
      "url": "https://www.databricks.com/blog/ai-bill-coming",
      "title": "Databricks / Mosaic AI: The AI Bill is coming",
      "summary": "In this conversation, Catherine Brown talks with Patrick about what happened when...",
      "date_published": "2026-10-22T18:12:49.000Z",
      "tags": [
        "blog",
        "Databricks / Mosaic AI"
      ],
      "authors": [
        {
          "name": "Databricks / Mosaic AI"
        }
      ]
    },
    {
      "id": "8dd8e6bc35ad32eff8fd57bbe04f9c56274f46ed",
      "url": "https://aws.amazon.com/blogs/machine-learning/amazon-polly-delivers-a-major-upgrade-to-its-generative-engine/",
      "title": "AWS Machine Learning: Amazon Polly delivers a major upgrade to its Generative engine",
      "summary": "The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code changes and is now generally available in p…",
      "date_published": "2026-10-22T18:06:35.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "4c086dcfa95658eafa8d777d0aa2a5fcb4edc64f",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-iskaypet-unified-corporate-knowledge-with-amazon-bedrock-managed-knowledge-bases/",
      "title": "AWS Machine Learning: How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases",
      "summary": "Learn how IskayPet, a leading pet care company in Iberia, built a multilingual corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail, veterinary, onboarding, and procurement in four languages and three c…",
      "date_published": "2026-10-22T18:01:53.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "https://www.youtube.com/watch?v=l16Gw7oVLNQ",
      "url": "https://www.youtube.com/watch?v=l16Gw7oVLNQ",
      "title": "OpenAI (YouTube): Uber rolls out ChatGPT Work to 30,000+ employees",
      "summary": "Following a 1,000-person pilot, Uber is bringing ChatGPT Work to more than 30,000 employees worldwide in its first company-wide deployment of an agentic platform for knowledge work. Uber CTO Praveen Neppalli Naga and OpenAI co-founder and President Greg Brockman discuss expand…",
      "date_published": "2026-10-22T18:00:13.000Z",
      "tags": [
        "media",
        "OpenAI (YouTube)"
      ],
      "authors": [
        {
          "name": "OpenAI (YouTube)"
        }
      ]
    },
    {
      "id": "123e9274ff10d780d0521efd9bdc03cfb23cff08",
      "url": "https://aws.amazon.com/blogs/machine-learning/announcing-new-ways-to-customize-models-with-sagemaker-ai-without-managing-gpus/",
      "title": "AWS Machine Learning: Announcing new ways to customize models with SageMaker AI, without managing GPUs",
      "summary": "Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU alloc…",
      "date_published": "2026-10-22T18:00:04.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "85d3ed31b82ab8523ac7effc5500095e66ae8521",
      "url": "https://aws.amazon.com/blogs/machine-learning/write-your-own-training-loop-without-managing-gpus-with-amazon-sagemaker-training-sessions/",
      "title": "AWS Machine Learning: Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs",
      "summary": "Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then walks through a GRPO loop on GSM8K and …",
      "date_published": "2026-10-22T18:00:01.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/news/donating-agent-skills-to-the-agentic-ai-foundation",
      "url": "https://www.anthropic.com/news/donating-agent-skills-to-the-agentic-ai-foundation",
      "title": "Anthropic: Donating Agent Skills to the Agentic AI Foundation",
      "summary": "Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.",
      "date_published": "2026-10-22T17:48:51.000Z",
      "tags": [
        "news",
        "Anthropic"
      ],
      "authors": [
        {
          "name": "Anthropic"
        }
      ]
    },
    {
      "id": "9bd193b4e42ef70bdb7e98ad7ab3c3f9df6f367e",
      "url": "https://aws.amazon.com/blogs/machine-learning/deploy-ai-in-a-hipaa-eligible-environment-with-amazon-quick/",
      "title": "AWS Machine Learning: Deploy AI in a HIPAA-eligible environment with Amazon Quick",
      "summary": "Amazon Quick is a HIPAA-eligible service, but eligibility is not the same as compliance. This post explains who HIPAA applies to, how PHI flows through Amazon Quick, what the platform provides for regulated environments, and a step-by-step guide to deploying compliant AI agent…",
      "date_published": "2026-10-22T17:48:22.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "351e07d8236b8a05fa15e510dcb5b937d7a9dec8",
      "url": "https://aws.amazon.com/blogs/machine-learning/stream-low-latency-speech-from-ai-agents-using-kokoro-tts-on-amazon-sagemaker-ai/",
      "title": "AWS Machine Learning: Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI",
      "summary": "Voice agents often wait for an agent's full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent produces it, and how to get that audi…",
      "date_published": "2026-10-22T17:45:58.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/modal-d",
      "url": "https://latent.space/p/modal-d/",
      "title": "Latent Space (swyx): Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO",
      "summary": "Elastic GPUs, sandbox growth, and the economics of the agent cloud",
      "date_published": "2026-10-22T17:40:57.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/",
      "url": "https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/",
      "title": "NVIDIA Developer: How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage",
      "summary": "GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI... GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 202…",
      "date_published": "2026-10-22T16:39:09.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "bc1e8aba2e409ec4403d397afa02816caf7e4b6e",
      "url": "https://aws.amazon.com/blogs/machine-learning/stop-guessing-auto-scaling-targets-for-tts-on-amazon-sagemaker-ai/",
      "title": "AWS Machine Learning: Stop guessing auto scaling targets for TTS on Amazon SageMaker AI",
      "summary": "Teams deploying custom text-to-speech models on Amazon SageMaker AI often guess at autoscaling thresholds, and a wrong guess either wastes GPU spend or breaches a latency SLO. This post deploys Kokoro-82M as a custom container and derives a measured autoscaling policy from two…",
      "date_published": "2026-10-22T16:30:06.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "7b42b92d3553785669b6b7f2bc67061098c8e566",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-rescale-built-an-ai-triage-agent-with-strands-agents-and-ai-dlc/",
      "title": "AWS Machine Learning: How Rescale built an AI triage agent with Strands Agents and AI-DLC",
      "summary": "Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks. Learn how AI-DLC structures AI-assisted development and how Rescale is scaling the practice across its engine…",
      "date_published": "2026-10-22T16:25:57.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "https://www.microsoft.com/en-us/research/?p=1190353",
      "url": "https://www.microsoft.com/en-us/research/blog/flint-interactive-a-language-for-creating-interactive-data-visualizations/",
      "title": "Microsoft Research: Flint-interactive: A language for creating interactive data visualizations",
      "summary": "Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizat…",
      "date_published": "2026-10-22T16:00:00.000Z",
      "tags": [
        "research",
        "Microsoft Research"
      ],
      "authors": [
        {
          "name": "Microsoft Research"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/",
      "url": "https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/",
      "title": "NVIDIA Developer: Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes",
      "summary": "AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting... AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining infer…",
      "date_published": "2026-10-22T16:00:00.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    }
  ]
}