<?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://hackobar.com/item/reddit-i-used-claude-code-to-turn-a-1989-dos-game-i-played-as-a-kid-3d8c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>Claude Code powers relativity simulation development via iterative agentic coding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-reasons-to-dislike-ai-coding-081f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Critique of AI coding tools in software engineering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-your-next-great-read-might-be-certified-organic-6777</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>New organic literature certification targets AI-generated text</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-chatgpt-for-teens-is-an-unacceptable-risk-says-common-sense--208a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Common Sense Media labels ChatGPT for Teens an unacceptable risk</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-people-dont-google-anymore-they-ask-ai-and-ai-doesnt-know-i--e25a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>AI recommendation engines are replacing traditional search for local service discovery</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-capacity-responsiveness-and-alignment-what-makes-a-latent-st-d412</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Causal influence in latent spaces depends on capacity, responsiveness, and alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-biostudybench-evaluating-agents-on-post-cutoff-biomedical-st-333d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>BioStudyBench Evaluates Agents on Post-Cutoff Biomedical Data</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-beyond-scalar-iou-structured-verification-from-rollout-group-4109</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>SUTURE Verifier Uses Rollout Group Structure for Video Grounding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-beyond-refusal-patterns-safe-role-internalization-for-robust-a20d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>SSRFT Framework Internalizes Safety Roles to Prevent Jailbreaks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-auditable-claims-about-ai-agents-6295</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Auditable Agents Framework for Verifying AI Agent Claims</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-anchor-divergence-for-semantic-geometry-in-contrastive-learn-e9a2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Anchor Divergence for Context-Specific Semantic Geometry</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-amber-training-long-horizon-web-agents-through-append-only-m-25f1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>AMBER Training Long-Horizon Web Agents with Append-Only Memory</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-aegisflow-a-multi-agent-agentic-ai-framework-for-autonomous--d31c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>AegisFlow Multi-Agent Framework for Autonomous Data Pipeline Remediation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-adaptive-gait-biofeedback-with-participant-held-out-modeling-28f6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Adaptive Gait Biofeedback Using Temporal Convolutional Classifiers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-accentcl-robust-accent-classification-with-incremental-expan-3c94</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>AccentCL Framework for Incremental English Accent Classification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-openwam-an-open-framework-for-composable-world-action-models-38ba</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>OpenWAM Framework Enables Composable Video and Action Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-systematic-investigation-of-bias-in-large-language-models--35fd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Systematic Bias in LLM Advertising Relevance Judgments</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-2d-fet-bench-from-spatial-reasoning-to-fet-design-on-flakes-422d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>2D-FET-Bench Evaluates LLM Agents on Semiconductor Layout Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-shared-demand-patterns-to-local-uncertainty-probabilist-4237</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Scalable Probabilistic Load Forecasting via Compact Parameter Adaptation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-language-model-ratings-of-depression-reflect-the-rater-more--8084</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>LLM Depression Screening Scores Driven More by Model Choice Than Patients</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-eio-agents-the-missing-semantic-layer-for-ai-agent-evaluatio-09c0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>EIO-Agents Establishes Semantic Standards for AI Agent Evaluation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-dloop-looped-speculative-decoding-be48</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>DLoop Implements Looped Speculative Decoding for Faster LLM Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-sensor-language-action-models-af55</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Sensor-Language-Action Models Unify Perception and Control</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-geometry-of-empowerment-873b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>New Geometric Framework Links Empowerment to Structural Centrality</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-spear-five-principles-for-interactive-human-agent-alignment-c1a6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>SPEAR Framework Proposes Five Principles for Interactive Human-Agent Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-mend-rl-for-flow-models-via-proximal-velocity-matching-aec6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-05</news:publication_date>
      <news:title>MEND Optimizes Flow Models via Proximal Velocity Matching</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-from-evidence-to-action-how-tool-using-agents-fail-74b4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>SafeActBench Analyzes Evidence-to-Action Failures in Tool-Using Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-advsim2real-training-web-agents-against-adaptive-prompt-inje-89d1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>AdvSim2Real Co-evolves Web Agents and Adversaries in World Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-eviskill-grounding-skill-evolution-in-replayable-evidence-ab00</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-04</news:publication_date>
      <news:title>EVISKILL Uses Replayable Evidence to Drive Continual Skill Evolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-gui-harvest-self-improving-gui-agents-through-evidence-drive-0049</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-01</news:publication_date>
      <news:title>GUI-HARVEST Automatically Optimizes Harnesses for Self-Improving GUI Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-attacca-goal-directed-control-under-state-continuity-for-lon-a17c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>Attacca Enables Goal-Directed Control for Long-Horizon Embodied Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-show-hn-nanomuse-an-open-source-ai-agent-for-your-phone-and--25ed</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Show HN: NanoMuse – An open-source AI agent for your phone and computer</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-von-neumann-networks-c117</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Von Neumann Networks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-bluffjax-adversarial-imperfect-information-games-in-jax-0cd1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>BluffJAX: Adversarial Imperfect Information Games in JAX</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-case-study-in-assuring-ai-written-software-d1ab</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>A Case Study in Assuring AI-Written Software</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-holdout-best-of-n-unbiased-evaluation-and-its-cost-d50f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Holdout Best-of-N: Unbiased Evaluation and Its Cost</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-are-language-models-script-aware-7002</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-07</news:publication_date>
      <news:title>Are Language Models Script-Aware?</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-world-models-last-exam-in-physics-2f36</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>World Models' Last Exam in Physics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-verifine-scaling-verification-for-self-improvement-in-embodi-1a1e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-understanding-and-enhancing-backdoor-persistency-in-llm-agen-8f6f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-05</news:publication_date>
      <news:title>Understanding and Enhancing Backdoor Persistency in LLM Agent Post-Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-towards-in-parameter-memory-augmentation-for-large-language--ba71</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>Towards In-Parameter Memory Augmentation for Large Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-personal-agent-mediated-recommendation-with-cross-platform-u-db60</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>Personal-Agent Mediated Recommendation with Cross-Platform User History</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-judged-useless-queried-anyway-tool-using-agents-rarely-turn--3b7c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-05</news:publication_date>
      <news:title>Judged Useless, Queried Anyway: Tool-Using Agents Rarely Turn Their Own Evidence Judgments into Stopping Decisions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-huatuogpt-3-rl-only-domain-adaptation-from-base-models-d47e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-05</news:publication_date>
      <news:title>HuatuoGPT-3: RL-Only Domain Adaptation from Base Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-embodiedsmith-scaling-embodied-data-through-recursive-self-i-2da7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-distscene-object-to-scene-distillation-for-3d-scene-generati-1cf6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-03</news:publication_date>
      <news:title>DistScene: Object-to-Scene Distillation for 3D Scene Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-building-rome-from-a-single-image-7906</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>Building Rome from a Single Image</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-autoscibench-autonomous-benchmark-generation-for-evaluating--9b71</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-04</news:publication_date>
      <news:title>AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-trace-rollout-guided-quantization-aware-training-for-fp4-rei-f055</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-06</news:publication_date>
      <news:title>TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-world-action-learning-via-interaction-centric-spectral-laten-ea63</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-02</news:publication_date>
      <news:title>World Action Learning via Interaction-Centric Spectral Latent Guidance</news:title>
    </news:news>
  </url>
</urlset>