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        <news:name>Laterware</news:name>
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      <news:title>OpenAI Jalapeño: Better than Nvidia Blackwell</news:title>
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        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T14:48:58.000Z</news:publication_date>
      <news:title>AI is hitting entry-level jobs hardest, Stanford study finds</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hn-49432879-openai-restores-5-hour-codex-and-work-limits-for-chatgpt-plus-users</loc>
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      <news:title>Show HN: I made a Raspberry with Qwen my local car AI</news:title>
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    <loc>https://www.laterware.com/story/hn-49421554-coding-expertise-is-going-to-collapse-from-ai-reliance</loc>
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        <news:name>Laterware</news:name>
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      <news:title>South Korean AI services platform Wrtn raised a ~$72.2M Series C at a $722M+ valuation, bringing its total funding to ~$166M (Joyce Lee/Reuters)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hn-49439489-openai-s-head-of-data-centers-has-left-the-company</loc>
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        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T19:37:39.000Z</news:publication_date>
      <news:title>OpenAI&apos;s Head of Data Centers Has Left the Company</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hn-49424387-llms-could-control-their-host-machines-by-exploiting-inference-engines</loc>
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        <news:name>Laterware</news:name>
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      <news:title>LLMs could control their host machines by exploiting inference engines</news:title>
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  <url>
    <loc>https://www.laterware.com/story/techmeme-https%3A%2F%2Fwww.techmeme.com%2F260825%2Fp41%23a260825p41-skild-ai-unveils-s1-a-robotics-foundation-model-that-it-says-can-learn-tasks-nev</loc>
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      <news:publication_date>2026-08-25T19:55:01.000Z</news:publication_date>
      <news:title>Skild AI unveils S1, a robotics foundation model that it says can learn tasks never seen during pretraining, using a single video demo, without fine-tuning (Skild AI)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hn-49443523-agentic-context-management-memory-and-cost-as-architecture-problems</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-26T02:35:25.000Z</news:publication_date>
      <news:title>Agentic Context Management: Memory and Cost as Architecture Problems</news:title>
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  <url>
    <loc>https://www.laterware.com/story/techmeme-https%3A%2F%2Fwww.techmeme.com%2F260825%2Fp40%23a260825p40-chris-malone-who-joined-openai-as-head-of-data-centers-in-march-2025-has-left-th</loc>
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      <news:title>Chris Malone, who joined OpenAI as head of data centers in March 2025, has left the company amid a broader exodus (Anissa Gardizy/Wall Street Journal)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hfmodels-peculiar-ragdoll%2FQwen-Sharp-Chat-Templates-peculiar-ragdoll-releases-qwen-sharp-chat-templates-trending-model</loc>
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      <news:title>peculiar-ragdoll releases Qwen-Sharp-Chat-Templates — trending model</news:title>
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  <url>
    <loc>https://www.laterware.com/story/techmeme-https%3A%2F%2Fwww.techmeme.com%2F260825%2Fp39%23a260825p39-keenable-which-is-building-a-web-search-index-for-ai-agents-and-says-several-ai-</loc>
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      <news:publication_date>2026-08-25T18:50:01.000Z</news:publication_date>
      <news:title>Keenable, which is building a web search index for AI agents and says several AI labs are using its API, raised a $26M seed led by Accel (Anna Heim/TechCrunch)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hfmodels-OBLITERATUS%2FQwen3.8-27B-OBLITERATED-obliteratus-releases-qwen3-8-27b-obliterated-trending-text-generation-model</loc>
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      <news:publication_date>2026-08-24T17:47:52.000Z</news:publication_date>
      <news:title>OBLITERATUS releases Qwen3.8-27B-OBLITERATED — trending text-generation model</news:title>
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  <url>
    <loc>https://www.laterware.com/story/techmeme-https%3A%2F%2Fwww.techmeme.com%2F260825%2Fp36%23a260825p36-anthropic-merges-the-memory-systems-for-claude-chat-and-claude-cowork-making-cla</loc>
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      <news:publication_date>2026-08-25T17:10:01.000Z</news:publication_date>
      <news:title>Anthropic merges the memory systems for Claude chat and Claude Cowork, making Claude chat history available to Cowork unless users opt out (David Gewirtz/ZDNET)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/hn-49422548-hot-chips-2026-cuda-targets-risc-v-by-chester-lam</loc>
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      <news:title>Hot Chips 2026: CUDA Targets RISC-V – By Chester Lam</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/hn-49415852-ocr-it-pull-text-out-of-un-copyable-documents-for-your-llm</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-24T06:25:31.000Z</news:publication_date>
      <news:title>OCR It – pull text out of un-copyable documents for your LLM</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24053-wemm-embedding-wechat-multi-modal-embedding-technical-report</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-24T20:00:00.000Z</news:publication_date>
      <news:title>WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/hfmodels-orcarouter%2FQwen3.8-27B-Uncensored-MLX-orcarouter-releases-qwen3-8-27b-uncensored-mlx-trending-image-text-to-text-model</loc>
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        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-24T09:44:01.000Z</news:publication_date>
      <news:title>orcarouter releases Qwen3.8-27B-Uncensored-MLX — trending image-text-to-text model</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/robotpress-https%3A%2F%2Fwww.therobotreport.com%2F%3Fp%3D589297-early-bird-pricing-for-robobusiness-2026-ends-august-31</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T17:41:56.000Z</news:publication_date>
      <news:title>Early bird pricing for RoboBusiness 2026 ends August 31</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24885v1-do-robotic-world-models-really-follow-actions-diagnosing-and-aligning-action-con</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T17:59:49.000Z</news:publication_date>
      <news:title>Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24882v1-latent-action-as-intention-enables-efficient-future-imagination-for-world-action</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:59:03.000Z</news:publication_date>
      <news:title>Latent Action as Intention Enables Efficient Future Imagination for World Action Models (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24876v1-recursive-experiential-working-memory-evolution-for-long-horizon-agent-harnesses</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:56:35.000Z</news:publication_date>
      <news:title>Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24865v1-parameterized-complexity-of-l-p-lipschitz-constants-for-input-convex-neural-netw</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:47:37.000Z</news:publication_date>
      <news:title>Parameterized Complexity of $L_p$-Lipschitz Constants for Input Convex Neural Networks and $L_p$-Norm Maximization over Zonotopes (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24859v1-improving-cross-problem-vehicle-routing-with-locally-augmented-preferences-and-r</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T17:44:23.000Z</news:publication_date>
      <news:title>Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24858v1-bellman-calibration-for-marginalized-importance-weighting-in-offline-reinforceme</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T17:44:02.000Z</news:publication_date>
      <news:title>Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24848v1-browserforge-scaling-web-episode-via-parallel-browser-sandboxes-arxiv</loc>
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      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:35:42.000Z</news:publication_date>
      <news:title>BrowserForge: Scaling Web Episode via Parallel Browser Sandboxes (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24846v1-fedv-kgqa-multi-hop-question-answering-over-vertically-partitioned-knowledge-gra</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:34:27.000Z</news:publication_date>
      <news:title>FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge Graphs (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24825v1-a-dual-dimensional-llm-framework-for-automated-item-incidental-content-similarit</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:07:16.000Z</news:publication_date>
      <news:title>A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24824v1-constrained-entity-selection-under-partial-knowledge-for-llm-based-knowledge-gra</loc>
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      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:04:32.000Z</news:publication_date>
      <news:title>Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QA (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24823v1-biokern-biological-kernel-regularization-for-histology-to-transcriptomics-neighb</loc>
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      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T17:04:16.000Z</news:publication_date>
      <news:title>BioKERN: Biological Kernel Regularization for Histology-to-Transcriptomics Neighborhood Retrieval (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24818v1-a-geometric-theory-of-robust-fairness-audits-arxiv</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T16:58:57.000Z</news:publication_date>
      <news:title>A Geometric Theory of Robust Fairness Audits (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24810v1-strictly-causal-streaming-video-anomaly-detection-with-a-theoretically-grounded-</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T16:52:32.000Z</news:publication_date>
      <news:title>Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24807v1-automatic-model-card-generation-using-an-llm-arxiv</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-08-25T16:49:37.000Z</news:publication_date>
      <news:title>Automatic Model Card Generation Using an LLM (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24804v1-starharness-evolving-harnesses-with-stratified-search-for-enterprise-environment</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T16:48:05.000Z</news:publication_date>
      <news:title>StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24771v1-ensemble-of-convolutional-neural-networks-for-strokeprediction-towards-improved-</loc>
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      <news:publication_date>2026-08-25T16:09:53.000Z</news:publication_date>
      <news:title>Ensemble of Convolutional Neural Networks for StrokePrediction: Towards Improved Diagnostic Accuracy (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24758v1-race-scalable-statistical-estimation-of-functional-consistency-in-llm-neurons-ar</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T15:57:43.000Z</news:publication_date>
      <news:title>RACE: Scalable Statistical Estimation of Functional Consistency in LLM Neurons (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24748v1-method-mind-and-morality-how-people-make-sense-of-artificial-intelligence-arxiv</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T15:52:55.000Z</news:publication_date>
      <news:title>Method, Mind, and Morality: How People Make Sense of Artificial Intelligence (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24747v1-skillforge-evolving-verifiable-skills-for-reinforcement-learning-agents-arxiv</loc>
    <news:news>
      <news:publication>
        <news:name>Laterware</news:name>
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      <news:publication_date>2026-08-25T15:52:10.000Z</news:publication_date>
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  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24743v1-text-dnn-2-doubly-non-negative-relaxations-for-deep-neural-networks-arxiv</loc>
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      <news:title>$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks (arXiv)</news:title>
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  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24646-on-policy-self-distillation-in-diffusion-models</loc>
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      <news:publication_date>2026-08-24T20:00:00.000Z</news:publication_date>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/robotpress-https%3A%2F%2Fwww.therobotreport.com%2F%3Fp%3D589290-humans-in-the-loop-are-still-needed-for-robotaxi-fleet-safety-says-guident</loc>
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      <news:title>Humans in the loop are still needed for robotaxi fleet safety, says Guident</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/robotpress-https%3A%2F%2Fwww.therobotreport.com%2F%3Fp%3D589276-jetson-orin-nano-2-doubles-inference-performance-for-robotics-on-the-edge-says-n</loc>
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      <news:title>Jetson Orin Nano 2 doubles inference performance for robotics on the edge, says NVIDIA</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fblog.google%2Fproducts-and-platforms%2Fproducts%2Fsearch%2Fhome-decor-tips%2F-5-ways-to-upgrade-your-home-decor-with-google-search</loc>
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      <news:title>5 ways to upgrade your home decor with Google Search</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fhuggingface.co%2Fblog%2Fibm-granite%2Fgranite-4-2-granite-4-2-llms-how-they-and-apos-re-built</loc>
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    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/lobsters-iwsopp-apple-s-new-desktop-computers-are-designed-specifically-for-local-ai-development</loc>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24881v1-what-fid-hides-detecting-ranking-and-diagnosing-deviations-in-generative-evaluat</loc>
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      <news:title>What FID Hides: Detecting, Ranking, and Diagnosing Deviations in Generative Evaluation (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24870v1-spo-stream-aligned-policy-optimization-for-asynchronous-agentic-rl-arxiv</loc>
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      <news:publication_date>2026-08-25T17:52:19.000Z</news:publication_date>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24845v1-laion-bvd-a-10-million-hour-open-video-dataset-for-multimodal-pre-training-arxiv</loc>
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      <news:title>LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24842v1-reading-is-not-using-retrieval-judgment-and-the-design-of-ai-financial-research-</loc>
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      <news:title>Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24814v1-effective-learning-rate-governs-loss-dynamics-in-language-model-pretraining-arxi</loc>
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      <news:title>Effective Learning Rate Governs Loss Dynamics in Language Model Pretraining (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24812v1-mdte-minority-aware-diffusion-over-temporal-edge-events-for-imbalanced-node-clas</loc>
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      <news:title>MDTE: Minority-Aware Diffusion over Temporal Edge Events for Imbalanced Node Classification (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24809v1-structurally-bounded-agentic-graph-exploration-for-evidence-grounded-scholarly-d</loc>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24795v1-lion-a-clifford-neural-paradigm-for-multimodal-attributed-graph-learning-arxiv</loc>
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      <news:title>LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24794v1-cafe-self-improving-search-agents-need-co-evolving-feedback-arxiv</loc>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24790v1-right-diagnoses-decorative-reasoning-a-perturbation-audit-of-medical-chain-of-th</loc>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24780v1-linear-probing-provides-robust-and-efficient-detection-of-machine-generated-text</loc>
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      <news:title>Linear Probing Provides Robust and Efficient Detection of Machine-Generated Text (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24777v1-stepguard-learning-step-level-guardrails-with-scalable-supervision-and-safety-ut</loc>
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      <news:title>StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24768v1-score-based-ideal-observer-approximation-via-denoising-score-matching-for-signal</loc>
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      <news:title>Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24764v1-evidence-blindness-in-direct-corpus-interaction-persistent-navigation-with-atlas</loc>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24763v1-mote-mixture-of-task-experts-for-multi-task-video-understanding-arxiv</loc>
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      <news:title>MoTE: Mixture of Task Experts for Multi-Task Video Understanding (arXiv)</news:title>
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  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24762v1-beyond-uniform-local-isometry-and-topology-factomap-for-disentangled-representat</loc>
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      <news:title>Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations (arXiv)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24760v1-expconcad-experience-guided-text-to-cad-generation-from-shape-descriptions-with-</loc>
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      <news:title>ExpConCAD: Experience-Guided Text-to-CAD Generation from Shape Descriptions with Implicit Spatial Constraints (arXiv)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24756v1-weakly-supervised-seafloor-segmentation-for-seagrass-habitat-mapping-in-side-sca</loc>
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      <news:title>Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery (arXiv)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24742v1-design-and-empirical-characterization-of-a-hardware-realized-turing-machine-with</loc>
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      <news:title>Design and Empirical Characterization of a Hardware-Realized Turing Machine with Automated Card-Based Programming (arXiv)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/robotpress-https%3A%2F%2Fspectrum.ieee.org%2Follobot-ai-companion-robot-ai-companion-robots-are-closing-the-human-connection-in-modern-homes</loc>
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      <news:title>AI Companion Robots Are Closing the Human Connection in Modern Homes</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fhuggingface.co%2Fblog%2FMultiverseComputingCAI%2Fquantization-aware-healing-quantization-aware-healing-a-compressed-4-bit-model-that-outperforms-its-full-pr</loc>
    <news:news>
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      <news:publication_date>2026-08-25T11:39:24.000Z</news:publication_date>
      <news:title>Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24876-recursive-experiential-working-memory-evolution-for-long-horizon-agent-harnesses</loc>
    <news:news>
      <news:publication>
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      <news:publication_date>2026-08-24T20:00:00.000Z</news:publication_date>
      <news:title>Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/arxiv-2608.24753v1-the-rat-a-unified-bayesian-model-for-rag-evaluation-arxiv</loc>
    <news:news>
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      <news:publication_date>2026-08-25T15:54:30.000Z</news:publication_date>
      <news:title>The RAT: A Unified Bayesian Model for RAG Evaluation (arXiv)</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24877-from-seeing-to-acting-smart-glasses-as-first-person-intelligence-platforms</loc>
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      <news:title>From Seeing to Acting: Smart Glasses as First-Person Intelligence Platforms</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24696-on-policy-distillation-with-verifiable-reward</loc>
    <news:news>
      <news:publication>
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      <news:title>On-policy Distillation with Verifiable Reward</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fopenai.com%2Findex%2Fthe-full-stack-behind-abundant-intelligence-the-full-stack-behind-abundant-intelligence</loc>
    <news:news>
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      </news:publication>
      <news:publication_date>2026-08-25T07:05:00.000Z</news:publication_date>
      <news:title>The full stack behind abundant intelligence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fopenai.com%2Findex%2Fjalapeno-first-results-jalapeno-s-first-results-show-industry-leading-speed-and-efficiency-in-ai-infere</loc>
    <news:news>
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      <news:title>Jalapeño’s first results show industry-leading speed and efficiency in AI inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24738-torchmorph-cuda-accelerated-morphological-transforms</loc>
    <news:news>
      <news:publication>
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      </news:publication>
      <news:publication_date>2026-08-24T20:00:00.000Z</news:publication_date>
      <news:title>TorchMorph: CUDA-accelerated Morphological Transforms</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.23566-best-practice-critic-optimization</loc>
    <news:news>
      <news:publication>
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      </news:publication>
      <news:publication_date>2026-08-24T20:00:00.000Z</news:publication_date>
      <news:title>Best Practice Critic Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/huggingface-2608.24735-meta-n-recursive-self-improvement-through-emergent-depth</loc>
    <news:news>
      <news:publication>
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      </news:publication>
      <news:publication_date>2026-08-24T20:00:00.000Z</news:publication_date>
      <news:title>Meta^n: Recursive Self-Improvement through Emergent Depth</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fopenai.com%2Findex%2Fdisrupting-malicious-uses-of-ai-influence-campaign-russia-disrupting-a-new-covert-influence-campaign-from-russia</loc>
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      <news:title>Disrupting a new covert influence campaign from Russia</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fopenai.com%2Findex%2Fintroducing-admin-plugin-introducing-the-admin-plugin-for-chatgpt-work-and-codex</loc>
    <news:news>
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      </news:publication>
      <news:publication_date>2026-08-25T00:00:00.000Z</news:publication_date>
      <news:title>Introducing the Admin plugin for ChatGPT Work and Codex</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://www.laterware.com/story/labs-https%3A%2F%2Fhuggingface.co%2Fblog%2Fgradio-workflow-guide-wire-it-run-it-deploy-it-ai-workflows-in-gradio</loc>
    <news:news>
      <news:publication>
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      </news:publication>
      <news:publication_date>2026-08-25T00:00:00.000Z</news:publication_date>
      <news:title>Wire It, Run It, Deploy It: AI Workflows in Gradio</news:title>
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