<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
  xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://news.chathome.org/news/quoting-nilay-patel-Gcrw3wiy?locale=zh-CN</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:13:12.000Z</news:publication_date>
      <news:title>Nilay Patel 谈 AI 产品为何难以说服用户承担其成本</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/wide-view-synthesis-from-overlapping-perspective-cameras-in-autonomous-driving-3Cxd2tOq?locale=zh-CN</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>zh-cn</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>自动驾驶中基于重叠透视相机的广视角合成</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/beyond-code-generation-a-developers-guide-to-agentic-engineering-YFbUjLcq?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T22:15:59.000Z</news:publication_date>
      <news:title>Beyond code generation: A developer’s guide to agentic engineering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/read-dont-copy-replacing-file-and-api-feeds-with-opensharing-part-1-the-why-zePztycb?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T22:10:00.000Z</news:publication_date>
      <news:title>Read, don&apos;t copy: replacing file and API feeds with OpenSharing - Part 1 (The Why)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/sagemaker-inference-now-supports-multi-instance-gpu-to-maximize-gpu-utilization--w1T6iaH4?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T18:01:00.000Z</news:publication_date>
      <news:title>SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/taxonomy-of-agentic-primitives-in-amazon-quick-opMfK6Sm?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:34:45.000Z</news:publication_date>
      <news:title>Taxonomy of agentic primitives in Amazon Quick</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/serverless-mcp-server-for-ai-agent-data-lake-access-on-amazon-ecs-fargate-4jd_AjLU?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:13:13.000Z</news:publication_date>
      <news:title>Serverless MCP server for AI agent data lake access on Amazon ECS Fargate</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-nilay-patel-Gcrw3wiy?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:13:12.000Z</news:publication_date>
      <news:title>Quoting Nilay Patel</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/govern-ai-agent-access-with-okta-cross-app-access-and-amazon-bedrock-agentcore-p-ket41MXb?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:09:23.000Z</news:publication_date>
      <news:title>Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 2</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/govern-ai-agent-access-with-okta-cross-app-access-and-amazon-bedrock-agentcore-p-QJuA0_3t?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:09:18.000Z</news:publication_date>
      <news:title>Govern AI agent access with Okta Cross App Access and Amazon Bedrock AgentCore – Part 1</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-greenlight-financial-built-an-autonomous-soc-solution-on-amazon-bedrock-agen-VRqC5cGR?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T16:55:05.000Z</news:publication_date>
      <news:title>How Greenlight Financial built an autonomous SOC solution on Amazon Bedrock AgentCore</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/taxbit-assist-a-grounded-role-aware-ai-agent-on-amazon-bedrock-agentcore-N7EfUfAb?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T16:49:42.000Z</news:publication_date>
      <news:title>Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/extend-claude-code-to-remote-sessions-on-amazon-bedrock-agentcore-with-security--5pB3uzZj?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T16:45:58.000Z</news:publication_date>
      <news:title>Extend Claude Code to remote sessions on Amazon Bedrock AgentCore with security controls</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-nvidia-open-source-tools-are-helping-researchers-build-next-generation-6g-ne-ajAY9Gx8?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T16:00:35.000Z</news:publication_date>
      <news:title>How NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-public-sector-organizations-can-govern-ai-at-scale-sGUVBrvm?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T15:14:29.000Z</news:publication_date>
      <news:title>How public sector organizations can govern AI at scale</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/partnering-with-hacktron-to-find-vulnerabilities-in-openais-systems-e0hBE_8U?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T08:00:00.000Z</news:publication_date>
      <news:title>Partnering with Hacktron to find vulnerabilities in OpenAI’s systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/perceptual-distortion-for-overfitted-video-coding-sliced-matching-in-space-error-u94iMxJM?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Perceptual Distortion for Overfitted Video Coding: Sliced Matching in Space, Error Alignment in Time</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/a-proxy-based-method-for-measuring-racial-disparities-intext-to-imagegenerators-Y076ZkV8?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>A Proxy-Based Method for Measuring Racial Disparities in Text-to-Image Generators</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/wide-view-synthesis-from-overlapping-perspective-cameras-in-autonomous-driving-3Cxd2tOq?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Wide View Synthesis from Overlapping Perspective Cameras in Autonomous Driving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/sd-lora-training-time-structural-distillation-into-lora-for-few-shot-vision-lang-wDz42y-H?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/segment-what-it-can-draw-querying-a-text-to-image-generator-with-its-own-images--RDqiXnh3?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Segment What It Can Draw: Querying a Text-to-Image Generator with Its Own Images for Skin Lesion Segmentation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/expanding-the-quality-coverage-frontier-with-competitive-flow-matching-hhy0yJ-a?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Expanding the Quality-Coverage Frontier with Competitive Flow Matching</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/gaussians-can-subtract-neural-dissolve-fields-for-hybrid-scene-rendering-X0CHWhzl?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Gaussians Can Subtract: Neural Dissolve Fields for Hybrid Scene Rendering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/trace-trajectory-aware-concepts-for-explainable-video-understanding-jReTJSbI?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>TraCE: Trajectory-Aware Concepts for Explainable Video Understanding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/batch-conditioned-semantic-anchors-for-robust-transductive-adaptation-of-vision--TIcoc2uE?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision-Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/tdollar2dollar-splat-adaptive-topology-mesh-splatting-with-texture-residuals-wrg9V3dq?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/tau-bench-lilt-evaluating-conversational-agents-on-realistic-multilingual-tool-u-GiB1OtwL?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>τ-bench-LILT: Evaluating Conversational Agents on Realistic Multilingual Tool-Use Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/matriarchy-classics-a-computational-approach-to-swap-only-gendered-words-in-clas-EXnt-xuG?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Matriarchy Classics: A Computational Approach to Swap Only Gendered Words in Classic Novels</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/adapting-llm-judges-to-observed-human-annotation-policy-through-soft-prompt-tuni-69tvBezi?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Adapting LLM Judges to Observed Human Annotation Policy through Soft Prompt Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/what-patients-say-they-cant-access-mining-cancer-screening-barriers-from-online--_ptM9LJf?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>What Patients Say They Can&apos;t Access: Mining Cancer Screening Barriers from Online Communities</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/consistent-yet-contextual-learning-author-level-mixtures-of-style-for-authorship-ey5ULDB3?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Consistent yet Contextual: Learning Author-Level Mixtures of Style for Authorship Attribution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/automated-feedback-to-peer-tutors-increases-their-talk-moves-and-learner-reasoni-HGFCMt2B?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Automated Feedback to Peer Tutors Increases Their Talk Moves and Learner Reasoning but Not the Balance of Talk</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/reclassification-is-all-you-missed-surfacing-variant-reinterpretation-need-in-on-FiREf7hg?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Reclassification Is All You Missed: Surfacing Variant Reinterpretation Need in Online Health Communities at Population Scale</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/follow-the-policy-fail-the-benchmark-auditing-and-revising-policy-based-decision--9OSSI2W?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Follow the Policy, Fail the Benchmark: Auditing and Revising Policy-Based Decision Benchmarks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/on-the-opportunities-and-challenges-of-prefill-to-autoregressive-cross-model-tra-gQVcEGi_?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>On the Opportunities and Challenges of Prefill-to-Autoregressive Cross-Model Transfer</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/interactive-backdoor-attacks-in-llm-based-proactive-dialogue-systems-gWzAcGsY?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Interactive Backdoor Attacks in LLM-Based Proactive Dialogue Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/optimistic-hedge-in-general-sum-games-fundamental-limits-and-regret-bounds-via-t-i-ZL-9Cz?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Optimistic Hedge in General-Sum Games: Fundamental Limits and Regret Bounds via Temporal Approximation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/shaping-and-monitoring-models-through-their-internal-representations-_eveJG6d?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Shaping &amp; Monitoring Models through their Internal Representations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/finite-time-convergence-and-regret-guarantees-for-neural-reinforcement-learning--dPrlR6c5?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Finite-Time Convergence and Regret Guarantees for Neural Reinforcement Learning in POMDPs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/stochastic-dynamics-of-generative-ai-from-autoregressive-models-to-interacting-l-QZ0wb3SK?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/lowram-low-rank-keys-and-amortised-values-for-composable-kv-cache-compression-at-SMMtWMBZ?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>LowRAM: Low-Rank Keys and Amortised Values for Composable KV Cache Compression at Test-Time</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/robust-stream-classification-using-time-neutralising-decision-trees-9SkgNE3D?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Robust Stream Classification using Time Neutralising Decision Trees</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/big-models-small-gains-frozen-forecasters-as-classifiers-on-monster-UUPHO4YT?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Big Models, Small Gains: Frozen Forecasters as Classifiers on MONSTER</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/uncertainty-calibration-in-bayesian-meeg-source-imaging-b9R9S61X?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Uncertainty calibration in Bayesian M/EEG source imaging</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/octopus-one-brain-many-branches-for-latent-kv-multi-agent-reinforcement-learning-00n_XiH5?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Octopus: One Brain, Many Branches for Latent-KV Multi-Agent Reinforcement Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/steelagent-llm-orchestrated-physics-informed-steel-property-prediction-with-audi-tN0Ay2zZ?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>SteelAgent: LLM-Orchestrated, Physics-Informed Steel Property Prediction with Audited Generalization and Calibrated Uncertainty</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/cooperative-multi-agent-reinforcement-learning-via-epigraph-form-guided-explorat-rY4okUFn?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/closed-loop-agent-evaluation-layered-measurement-and-self-calibration-fvHshywm?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/adapting-the-process-of-adaptation-darwinian-lamarckian-and-agent-directed-evolu-DF7IUgcv?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/trust-responsive-runtime-authorization-for-agentic-ai-with-empirical-characteriz-cq5iRkf7?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Trust Responsive Runtime Authorization for Agentic AI with Empirical Characterization of Policy Behavior and Parameter Sensitivity</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/autonomous-ai-agents-systematically-diverge-from-human-preferences-in-proof-form-la1lVVpk?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/the-two-ledger-model-transaction-grain-cost-accounting-for-multi-agent-ai-system-A5VdJEcu?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>The Two-Ledger Model: Transaction-Grain Cost Accounting for Multi-Agent AI Systems Across Clouds, Models, and Systems of Record</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/resource-efficient-reinforcement-learning-post-training-through-elastic-expert-p-caSnpFjC?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Resource-Efficient Reinforcement Learning Post-Training through Elastic Expert Parallelism</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/blocklock-reproducible-llm-inference-with-fixed-batch-geometry-lnC81tqb?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>BlockLock: Reproducible LLM Inference with Fixed Batch Geometry</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/kdaso-knowledge-data-dual-driven-automated-skill-optimization-for-liability-adju-7JgNXQ9a?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/formalizing-inverse-problems-in-the-age-of-ai-possibilities-pitfalls-and-an-invi-OnR7lse1?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>Formalizing inverse problems in the age of AI: possibilities, pitfalls, and an invitation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/measuring-how-ai-agents-handle-everyday-wet-lab-science-JtQJ7CXU?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T00:00:00.000Z</news:publication_date>
      <news:title>Measuring how AI agents handle everyday wet-lab science</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-snorkel-runs-realistic-agent-simulations-with-modal-8L6P1z70?locale=en</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T00:00:00.000Z</news:publication_date>
      <news:title>How Snorkel runs realistic agent simulations with Modal</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/taxonomy-of-agentic-primitives-in-amazon-quick-opMfK6Sm?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:34:45.000Z</news:publication_date>
      <news:title>Amazon Quickにおけるエージェントプリミティブの分類体系</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/quoting-nilay-patel-Gcrw3wiy?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T17:13:12.000Z</news:publication_date>
      <news:title>ナイレイ・パテル氏、AI製品のコストに見合う価値はまだないと批判</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-nvidia-open-source-tools-are-helping-researchers-build-next-generation-6g-ne-ajAY9Gx8?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T16:00:35.000Z</news:publication_date>
      <news:title>NVIDIAのオープンソースツールが次世代6Gネットワーク構築を支援する方法</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/partnering-with-hacktron-to-find-vulnerabilities-in-openais-systems-e0hBE_8U?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T08:00:00.000Z</news:publication_date>
      <news:title>OpenAIのシステムにおける脆弱性発見へHacktronとの提携</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/cooperative-multi-agent-reinforcement-learning-via-epigraph-form-guided-explorat-rY4okUFn?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T05:00:00.000Z</news:publication_date>
      <news:title>エピグラフ形式による探索誘導を用いた協調型マルチエージェント強化学習</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://news.chathome.org/news/how-snorkel-runs-realistic-agent-simulations-with-modal-8L6P1z70?locale=ja</loc>
    <news:news>
      <news:publication>
        <news:name>AI News Hub</news:name>
        <news:language>ja</news:language>
      </news:publication>
      <news:publication_date>2026-11-06T00:00:00.000Z</news:publication_date>
      <news:title>SnorkelがModalで現実的なエージェントシミュレーションを実行する方法</news:title>
    </news:news>
  </url>
</urlset>
