<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Neural Pulse | Source-linked AI news</title><description>Dated AI stories linked to official sources. Claims are not independently verified.</description><link>https://emirfs.github.io/</link><language>en-us</language><item><title>AI news this week: 31 source-linked stories</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-11-weekly-ai-briefing-w40/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-11-weekly-ai-briefing-w40/</guid><description>A dated list of 31 AI stories with links to their original sources.</description><pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate><category>Weekly Digest</category><category>Weekly Digest</category></item><item><title>Agent-Controlled Forgetting for Tool-Using Agents: Reversible Context Curation in Practice</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-agent-controlled-forgetting-for-tool-using-agents-reversible/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-agent-controlled-forgetting-for-tool-using-agents-reversible/</guid><description>Tool-using agents repeatedly carry observations whose useful content can be much smaller than their original payload.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-an-explainable-header-centric-framework-for-large-scale/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-an-explainable-header-centric-framework-for-large-scale/</guid><description>Knowledge Graph (KG) quality depends not only on downstream graph validation, but also on the quality of tabular metadata used before integration.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Speaking the Navigator&apos;s Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-speaking-the-navigators-language-trajectory-grounded-instruction/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-speaking-the-navigators-language-trajectory-grounded-instruction/</guid><description>Aerial vision-and-language navigation (VLN) agents are typically trained on detail-rich, trajectory-aligned commands, whereas users issue short, intent-driven instructions; on a frozen OpenFly navigator, this \emph{instruction gap} drops success rate (SR) from $31.03\%$ to $11.33\%$.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-synthesis-through-simulation-generating-coherent-enterprise/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-synthesis-through-simulation-generating-coherent-enterprise/</guid><description>Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions on enterprise systems, data, and database schemas.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-the-harness-as-the-only-mutable/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-the-harness-as-the-only-mutable/</guid><description>Self-improving LLM agents can adapt a credit pipeline to a changed rule, but an agent that rewrites itself destroys the artefact a supervisor reviews: a named change, a recorded test, an approval.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Verification and Self-Improvement in Agentic AI: Foundations and Limits</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-verification-and-self-improvement-in-agentic-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-verification-and-self-improvement-in-agentic-ai/</guid><description>Agentic</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Plan-and-Patch: Diffusion Language Models for Agentic Planning</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-10-plan-and-patch-diffusion-language-models-for-agentic/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-10-plan-and-patch-diffusion-language-models-for-agentic/</guid><description>Plan-and-</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Whose Ground Truth? Embracing Ambiguity in Human-Centered AI</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-10-whose-ground-truth-embracing-ambiguity-in/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-10-whose-ground-truth-embracing-ambiguity-in/</guid><description>As AI systems increasingly interact with people and make decisions about them, understanding human interpretations becomes an important part of developing human-centered AI.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-beyond-refusal-patterns-safe-role-internalization-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-beyond-refusal-patterns-safe-role-internalization-for/</guid><description>Large Language Models (LLMs) have achieved remarkable capabilities but remain vulnerable to jailbreak attacks that elicit harmful or unsafe outputs.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>EPOCH: Reliable Discovery through Evidence-Governed Search</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-epoch-reliable-discovery-through-evidence-governed-search/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-epoch-reliable-discovery-through-evidence-governed-search/</guid><description>AI research agents are increasingly used to search over programs, mathematical constructions, and proofs.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-into-the-omniverse-how-developers-turn/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-into-the-omniverse-how-developers-turn/</guid><description>Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Offline AI Modules: Voice-First Offline Architecture, Hardware Reference Stack, Quantization and Benchmarking</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-offline-ai-modules-voice-first-offline-architecture/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-offline-ai-modules-voice-first-offline-architecture/</guid><description>The Offline AI Modules workstream enables practical, low-power, and community-accessible deployment of voice-first AI systems that operate fully offline.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Topology-Consistent Task Planning over Cellular Workflow Complexes for LLM-based Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-topology-consistent-task-planning-over-cellular-workflow/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-topology-consistent-task-planning-over-cellular-workflow/</guid><description>Task planning for LLM agents requires workflows that satisfy both user intent and complex sub-task dependencies.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-when-to-rethink-learning-multi-perspective-self-verification/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-when-to-rethink-learning-multi-perspective-self-verification/</guid><description>Vision-language models (</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>CuratorMAS: Automating Dataset Curation via Multi-Agent Orchestration</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-curatormas-automating-dataset-curation-via-multi-agent/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-curatormas-automating-dataset-curation-via-multi-agent/</guid><description>CuratorMAS</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Smart Content Ingestion for Generative AI Workloads</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-09-smart-content-ingestion-for-generative-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-09-smart-content-ingestion-for-generative-ai/</guid><description>The evolution of machine learning has progressively changed where intelligence resides in an AI system.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>FluidPD: In-Place Elasticity for SLO-Aware Prefill-Decode Disaggregated LLM Serving</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-07-fluidpd-in-place-elasticity-for-slo-aware-prefill-decode/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-07-fluidpd-in-place-elasticity-for-slo-aware-prefill-decode/</guid><description>Prefill-decode disaggregation is becoming a common architecture for LLM serving because it separates two phases with distinct execution patterns and SLO objectives.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-07-gamego-training-game-dev-agents-with-synthetic/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-07-gamego-training-game-dev-agents-with-synthetic/</guid><description>Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities in web front-end execution, with browser-based game generation emerging as a particularly prominent frontier.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Introducing Claude Haiku 5.5</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-07-introducing-claude-haiku-55/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-07-introducing-claude-haiku-55/</guid><description>Our fastest, cheapest, and most capable small model yet.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Foundation Models</category></item><item><title>Metonymic Circuits for Abstract Concept Grounding in Vision Transformers</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-07-metonymic-circuits-for-abstract-concept-grounding/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-07-metonymic-circuits-for-abstract-concept-grounding/</guid><description>We study how Vision Transformers ground abstract concepts (e.g., angry) when training data provide limited direct referential evidence.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-07-nvidia-microsoft-kick-off-a-new/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-07-nvidia-microsoft-kick-off-a-new/</guid><description>At a</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>RadOnc-Agent: An LLM-Orchestrated Framework for AI Workflows Across the Radiotherapy Care Pathway</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-07-radonc-agent-an-llm-orchestrated-framework-for-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-07-radonc-agent-an-llm-orchestrated-framework-for-ai/</guid><description>Artificial intelligence has advanced individual radiotherapy tasks, yet these capabilities remain separated across clinical stages, software environments and data modalities.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>AegisFlow: A Multi-Agent Agentic AI Framework for Autonomous Remediation and Self-Healing in Fragile Data Ecosystems</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-aegisflow-a-multi-agent-agentic-ai-framework/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-aegisflow-a-multi-agent-agentic-ai-framework/</guid><description>Traditional data pipelines are notoriously brittle, often failing due to upstream schema drift, API contract changes, or website DOM modifications.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Principles that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-08-principles-that-guide-actions-that-inform/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-08-principles-that-guide-actions-that-inform/</guid><description>Large language model</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Why Telecom Operators Are Building Their AI Strategy on Open Models</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-06-why-telecom-operators-are-building-their/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-06-why-telecom-operators-are-building-their/</guid><description>Telecom operators are</description><pubDate>Tue, 06 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-05-choosing-before-acting-comparative-value-estimation/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-05-choosing-before-acting-comparative-value-estimation/</guid><description>Large language models (</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-05-fast-models-slow-evidence-a-paired/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-05-fast-models-slow-evidence-a-paired/</guid><description>Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input carries an injection.</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-05-from-scan-to-treatment-plan-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-05-from-scan-to-treatment-plan-ai/</guid><description>Breast cancer is the most</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-05-the-ai-risk-observatory-what-can/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-05-the-ai-risk-observatory-what-can/</guid><description>Societal resilience research relies on access to useful and actionable data, which motivates our main research question: Can annual reports, processed at scale with LLMs, provide a useful signal about how companies disclose their response to AI?</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-06-dereact-decomposed-reasoning-and-acting-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-06-dereact-decomposed-reasoning-and-acting-for/</guid><description>DeRe</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>World Editing: Intervening on Executable Worlds at Increasing Depth</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-06-world-editing-intervening-on-executable-worlds/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-06-world-editing-intervening-on-executable-worlds/</guid><description>Interactive world models are increasingly capable of generating environments and acting within them, yet deliberately editing an existing executable world remains underexplored.</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>AI news this week: 56 source-linked stories</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-04-weekly-ai-briefing-w39/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-04-weekly-ai-briefing-w39/</guid><description>A dated list of 56 AI stories with links to their original sources.</description><pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate><category>Weekly Digest</category><category>Weekly Digest</category></item><item><title>Energy Time-Series Imputation with Differentially Private Diffusion Models via Clipping-Aware Objective Conditioning</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-energy-time-series-imputation-with-differentially-private/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-energy-time-series-imputation-with-differentially-private/</guid><description>Diffusion models trained with</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Fast Polynomial Transcendentals for LLMs</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-fast-polynomial-transcendentals-for-llms/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-fast-polynomial-transcendentals-for-llms/</guid><description>Graphics processing unit (GPU) generations scale matrix, special-function, and memory pipelines at different rates, so kernel bottlenecks move as hardware evolves.</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Format-Aware Fusion for Fast FP4 Pretraining</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-format-aware-fusion-for-fast-fp4-pretraining/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-format-aware-fusion-for-fast-fp4-pretraining/</guid><description>Four-bit floating-point (FP4) Tensor Cores accelerate matrix multiplication, but scale computation, operand packing, layout construction, and saved backward state can erase the gain.</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>How Far is Adam from Natural Gradient Descent?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-how-far-is-adam-from-natural/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-how-far-is-adam-from-natural/</guid><description>Adam&apos;s geometric</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-sw-kan-kolmogorov-arnold-networks-with-stieltjes-wigert-q-orthogonal/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-sw-kan-kolmogorov-arnold-networks-with-stieltjes-wigert-q-orthogonal/</guid><description>Kolmogorov-Arnold Networks</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>The Hidden Costs of 99% Accuracy: A Trustworthiness Audit of the Telco Customer Churn Benchmark</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-the-hidden-costs-of-99-accuracy/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-the-hidden-costs-of-99-accuracy/</guid><description>Customer churn prediction on the IBM Telco Customer Churn benchmark (n = 7,043) routinely reports test accuracies above 95%, with the most cited published study reporting 99.01%.</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Uncertainty-Aware Learning from Multi-Expert Interval Targets</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-uncertainty-aware-learning-from-multi-expert-interval-targets/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-uncertainty-aware-learning-from-multi-expert-interval-targets/</guid><description>Many machine learning (ML) applications rely on expert labels, and qualified experts may provide different but plausible interpretations of the same observation.</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>&quot;very likely&quot; Means &quot;uncertain&quot;? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-very-likely-means-uncertain-how-llms/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-very-likely-means-uncertain-how-llms/</guid><description>Humans express uncertainty verbally via markers (e.g., &quot;possible,&quot; &quot;likely&quot;), yet most LLM uncertainty quantification (UQ) relies on costing likelihood- or consistency-based signals.</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Constant-Memory Recall: Learned Associations in a Fixed Matrix State</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-04-constant-memory-recall-learned-associations-in-a/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-04-constant-memory-recall-learned-associations-in-a/</guid><description>Fixed-size recurrent memory limits storage growth during inference, but successful recall depends on the task and training.</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>The Null Is the Hard Part: Exact Tests for Memorization in Generative Models</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-04-the-null-is-the-hard-part/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-04-the-null-is-the-hard-part/</guid><description>Memorization</description><pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Characterizing a Configuration Where Inference-Time PRM-Pruned Fragment Grafting Is Inert: Evidence from Three Reasoning LMs</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-characterizing-a-configuration-where-inference-time-prm-pruned/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-characterizing-a-configuration-where-inference-time-prm-pruned/</guid><description>PRM-</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Heavy-Tailed Memory Traces in Long-Horizon Language Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-heavy-tailed-memory-traces-in-long-horizon-language/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-heavy-tailed-memory-traces-in-long-horizon-language/</guid><description>Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current memory systems are usually judged only by task success or token cost.</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>K-Dense BYOK: An Open-Source AI Research Assistant That Runs Locally and Keeps a Hash-Chained Lab Notebook</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-k-dense-byok-an-open-source-ai-research/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-k-dense-byok-an-open-source-ai-research/</guid><description>K-Dense BYOK</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Measuring the Microtask Eligibility Gap: When Is an Off-the-Shelf SLM Enough for an Agent Harness?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-measuring-the-microtask-eligibility-gap-when/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-measuring-the-microtask-eligibility-gap-when/</guid><description>Agent harnesses increasingly want to run small language models (SLMs) on the microtasks around a frontier large language model (LLM) planner: auto-approving shell commands, writing memory, selecting tools, ranking past turns.</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-nvidia-dgx-spark-64gb-gives-developers/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-nvidia-dgx-spark-64gb-gives-developers/</guid><description>NVIDIA DGX</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Scientific Agents: Evaluating Profession-Specific System Prompts on Scientific Tasks</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-scientific-agents-evaluating-profession-specific-system-prompts/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-scientific-agents-evaluating-profession-specific-system-prompts/</guid><description>Detailed profession-</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>What Do Rationales Communicate? A Message-Intervention Study in Role-Specialized QA</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-what-do-rationales-communicate-a-message-intervention/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-what-do-rationales-communicate-a-message-intervention/</guid><description>On 40</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>When Do Causal World Models Help Modular LLM Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-when-do-causal-world-models-help/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-when-do-causal-world-models-help/</guid><description>LLM agents</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Build2SPARQL: A Large-Scale Text-to-SPARQL Benchmark Dataset for Building Knowledge Graph Querying</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-build2sparql-a-large-scale-text-to-sparql-benchmark-dataset/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-build2sparql-a-large-scale-text-to-sparql-benchmark-dataset/</guid><description>Build2SPARQL</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>EviGraph: Proof-Carrying Selective Recommendation over Temporal Public-Service Knowledge Graphs</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-03-evigraph-proof-carrying-selective-recommendation-over-temporal/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-03-evigraph-proof-carrying-selective-recommendation-over-temporal/</guid><description>Public-service recommendations require evidence that matches the requested service, scope, and date.</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>AI Agents are Vulnerable to Radicalization</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-ai-agents-are-vulnerable-to-radicalization/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-ai-agents-are-vulnerable-to-radicalization/</guid><description>Large language models (LLMs) can influence people&apos;s beliefs, yet little is known about whether and how they can manipulate each other.</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-arex-2-advancing-self-improving-agents-through-long-horizon/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-arex-2-advancing-self-improving-agents-through-long-horizon/</guid><description>We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time.</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>CARAT: Do Materials LLMs Reason or Recite?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-carat-do-materials-llms-reason-or/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-carat-do-materials-llms-reason-or/</guid><description>When a materials LLM answers a question about crystal structure, does it reason from the structure or copy an answer already printed in its input?</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-improving-ocr-faithfulness-via-gated-and/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-improving-ocr-faithfulness-via-gated-and/</guid><description>Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription faithfulness.</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>MoFlow: Multi-Objective Agentic Workflow Generation</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-moflow-multi-objective-agentic-workflow-generation/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-moflow-multi-objective-agentic-workflow-generation/</guid><description>MoFlow</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-productive-durable-fungible-how-nvidia-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-productive-durable-fungible-how-nvidia-ai/</guid><description>AI factories are</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Examining Variation in How Guided AI Tutors Resolve Student Impasses</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-examining-variation-in-how-guided-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-examining-variation-in-how-guided-ai/</guid><description>When a student is stuck, a tutor faces the assistance dilemma: help given too early can hinder productive struggle, while help withheld too long leaves the student in a frustrating, persistent impasse (i.e., wheel spinning).</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-02-how-nvidia-gpus-help-accelerate-openais/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-02-how-nvidia-gpus-help-accelerate-openais/</guid><description>GPT-</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-from-training-to-production-nvidia-and/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-from-training-to-production-nvidia-and/</guid><description>CoreWeave has built</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Is Human-Readable Text Necessary for Effective LLM Fine-Tuning?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-is-human-readable-text-necessary-for-effective/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-is-human-readable-text-necessary-for-effective/</guid><description>Is human readability necessary for effective fine-tuning of large language models?</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>More Programs or More Rolls? Separating Coverage from Specialization in LLM Harnesses</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-more-programs-or-more-rolls-separating/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-more-programs-or-more-rolls-separating/</guid><description>Automated generation of LLM harnesses promises to improve inference through task specialization.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>OpenAI-HuggingFace: A Reproduction &amp; Lessons for Alignment Testing</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-openai-huggingface-a-reproduction-lessons-for-alignment/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-openai-huggingface-a-reproduction-lessons-for-alignment/</guid><description>In July</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Representational Simplicity and Circuit Size Dissociate in a Threshold-Dependent Way: A Controlled Test via Adversarial Training</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-representational-simplicity-and-circuit-size-dissociate/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-representational-simplicity-and-circuit-size-dissociate/</guid><description>Sparse-autoencoder decomposability and concentrated feature attribution are increasingly treated as evidence that a model&apos;s computation is easier to reverse-engineer.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-right-words-wrong-moment-a-clinician-grounded/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-right-words-wrong-moment-a-clinician-grounded/</guid><description>Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>SAGE: A Statistical Acceptance Gate for Self-Evolving Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-sage-a-statistical-acceptance-gate-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-sage-a-statistical-acceptance-gate-for/</guid><description>Large Language Model (LLM)-based agents increasingly self-evolve by editing a persistent skill document that encodes their workflow, tool-use rules, and decision logic.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Self-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-self-discovering-rl-in-the-era-of/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-self-discovering-rl-in-the-era-of/</guid><description>The pursuit of recursive self</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-mirror-score-calibrated-inference-only-scoring-exposes-the/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-mirror-score-calibrated-inference-only-scoring-exposes-the/</guid><description>D-peptides combine protease resistance with high target specificity, but computational design of D-peptide binders remains immature.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning</title><link>https://emirfs.github.io/ai-news-hub/news/2026-10-01-powerzoojax-a-jax-based-power-system-benchmark/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-10-01-powerzoojax-a-jax-based-power-system-benchmark/</guid><description>Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL).</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Atelier: Learning Local Self-Supervised Features for CryoEM Volumes via Hypernetworks</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-atelier-learning-local-self-supervised-features-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-atelier-learning-local-self-supervised-features-for/</guid><description>CryoEM map interpretation requires features that are spatially localized, consistent across samples, and informative across spatial scales.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Audio LLMs Know When They Can&apos;t Hear You</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-audio-llms-know-when-they-cant/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-audio-llms-know-when-they-cant/</guid><description>Audio large language models</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Benchy: towards a universal language for task-oriented AI benchmarks</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-benchy-towards-a-universal-language-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-benchy-towards-a-universal-language-for/</guid><description>Benchy is a semantic language and execution engine for benchmarking AI programs.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-bioeval-a-global-multi-institutional-benchmark-of/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-bioeval-a-global-multi-institutional-benchmark-of/</guid><description>Large Language Models (LLMs) have demonstrated historic breakthroughs in general reasoning with early successes in biomedical science.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-do-llms-understand-context-a-knowledge/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-do-llms-understand-context-a-knowledge/</guid><description>While large language models (LLMs) have achieved remarkable linguistic capabilities, a profound question lingers at their core: do these models truly comprehend context or simply excel at pattern matching on an unprecedented scale?</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>LLM Parkinsonism: Executive-Control Failure, Token-Inefficient Persistence, and an Uncertainty-Aware Global Executive Control Architecture for Autonomous Language-Model Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-llm-parkinsonism-executive-control-failure-token-inefficient-persistence/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-llm-parkinsonism-executive-control-failure-token-inefficient-persistence/</guid><description>Large language models (LL</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>T-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-t-rope-time-aware-rotary-position-embedding-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-t-rope-time-aware-rotary-position-embedding-for/</guid><description>Large-scale recommenders increasingly adopt the sequential generative recipe behind large language models, bringing the Transformer into recommendation along with design choices made for text, including Rotary Position Embedding (RoPE).</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-29-thinking-less-to-simulate-better-intuitive/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-29-thinking-less-to-simulate-better-intuitive/</guid><description>Platform policies are increasingly tested on artificial users, making agent fidelity important.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-crc-router-risk-constrained-routing-for-medical-agentic/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-crc-router-risk-constrained-routing-for-medical-agentic/</guid><description>Agentic AI systems are increasingly being explored in medical imaging to improve throughput and reduce clinician workload; however, safe deployment remains challenging because autonomous errors may propagate into downstream clinical decisions.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>The Price of Thought: Does Test-Time Reasoning Pay in LLM Trading?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-30-the-price-of-thought-does-test-time/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-30-the-price-of-thought-does-test-time/</guid><description>While inference-time reasoning in large language models (LLMs) promises better decision making, its higher computational cost may not yield better economic outcomes.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>A Synthetic Ground-Truth Framework for the Evaluation of Explainable AI Methods</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-a-synthetic-ground-truth-framework-for-the/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-a-synthetic-ground-truth-framework-for-the/</guid><description>Evaluating explainable Artificial</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-bridging-llm-agents-and-data-spaces/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-bridging-llm-agents-and-data-spaces/</guid><description>Data Spaces enable sovereign and governed data sharing across organizational boundaries, but their integration with AI agents remains challenging due to mismatches between probabilistic language model interactions and policy-driven data infrastructures.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Bringing AI to Autonomous Systems -- From Cognition to Collective Intelligence</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-bringing-ai-to-autonomous-systems---/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-bringing-ai-to-autonomous-systems---/</guid><description>The purpose of this article is to highlight the central role of autonomous systems as the ultimate stage in the development of AI, to explain the underlying technical challenges that require a combination of connectionist AI and symbolic AI, and to integrate AI and systems engineering.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Introducing Claude Sonnet 5.5</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-introducing-claude-sonnet-55/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-introducing-claude-sonnet-55/</guid><description>A clear upgrade over Sonnet 5 that runs 30% faster and costs up to 30% less for most work.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Foundation Models</category></item><item><title>Predicting Transmembrane Protein Topology from 3D Structure</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-predicting-transmembrane-protein-topology-from-3d/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-predicting-transmembrane-protein-topology-from-3d/</guid><description>This paper</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Pretrained ASR Pseudo-labeling for Noisy Police Audio</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-pretrained-asr-pseudo-labeling-for-noisy-police/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-pretrained-asr-pseudo-labeling-for-noisy-police/</guid><description>Pretrained ASR systems perform poorly on noisy Broadcast Police Communication (BPC), hindering efforts to understand police decision-making.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>ScopeBench: Do Agents Preserve Engagement Boundaries Under Goal Pressure?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-scopebench-do-agents-preserve-engagement-boundaries/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-scopebench-do-agents-preserve-engagement-boundaries/</guid><description>Agents are increasingly deployed with real autonomy in web application and network penetration testing, where a single out-of-scope action can breach a client&apos;s engagement boundary.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>When Is a Multi-Agent Code Judge Actually Grounded? Two Label-Free Measurements, and a Judge That Declines to Guess</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-28-when-is-a-multi-agent-code-judge/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-28-when-is-a-multi-agent-code-judge/</guid><description>When one language model judges whether another&apos;s code is correct, it does not report the absence of evidence.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>AI news this week: 45 source-linked stories</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-27-weekly-ai-briefing-w38/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-27-weekly-ai-briefing-w38/</guid><description>A dated list of 45 AI stories with links to their original sources.</description><pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate><category>Weekly Digest</category><category>Weekly Digest</category></item><item><title>Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-adversarial-closed-loop-curriculum-for-evolving-role-playing/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-adversarial-closed-loop-curriculum-for-evolving-role-playing/</guid><description>Role-playing agents based on large language models have been widely applied in areas such as personalized assistance and social simulation.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data Pipelines</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-basecamp-----an-agentic-ai-framework/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-basecamp-----an-agentic-ai-framework/</guid><description>DNA sequencing</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>PAWS: Policy-driven Agentic World Simulation</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-paws-policy-driven-agentic-world-simulation/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-paws-policy-driven-agentic-world-simulation/</guid><description>Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to temporally aligned historical evidence.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Pistis Technical Report</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-pistis-technical-report/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-pistis-technical-report/</guid><description>We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and developed through a general and scalable post-training framework.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Training Object Permanence in World Models</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-training-object-permanence-in-world-models/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-training-object-permanence-in-world-models/</guid><description>Object permanence and solidity are hallmarks of human cognitive priors.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>TW3Cast: A Frozen Router of Lightly Fine-Tuned Foundation Models for Time-Series Forecasting on GIFT-Eval, Selected Entirely on the Training Split</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-tw3cast-a-frozen-router-of-lightly/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-tw3cast-a-frozen-router-of-lightly/</guid><description>TW3Cast is a</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>TWIST: A Proposed Benchmark for Intervention Quality in Conversational Memory, with a Human-Validated Draft-Alignment</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-twist-a-proposed-benchmark-for-intervention/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-twist-a-proposed-benchmark-for-intervention/</guid><description>TWIST is</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-when-should-forecasting-agents-reason-behavioral/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-when-should-forecasting-agents-reason-behavioral/</guid><description>Forecasting agents increasingly combine language-model reasoning, retrieval, ensembling, and calibration, but it remains unclear when each behavior should be trusted.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Beyond Surface Style: Aligning Multi-Turn User Simulators with Behavioral Consistency</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-beyond-surface-style-aligning-multi-turn-user/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-beyond-surface-style-aligning-multi-turn-user/</guid><description>Faithful user simulation is fundamental to building, evaluating, and improving interactive AI at scale.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Driving Epidemic Models with AI Agents: the Epydemix Agent Framework</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-driving-epidemic-models-with-ai-agents/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-driving-epidemic-models-with-ai-agents/</guid><description>Artificial Intelligence agents based on large language models provide convenient natural language interfaces to scientific software, but reliability is not automatic.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Are Stated Reasoning Steps Causally Load-Bearing?</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-are-stated-reasoning-steps-causally-load-bearing/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-are-stated-reasoning-steps-causally-load-bearing/</guid><description>Chain-of-thought (CoT) monitoring assumes that the reasoning a model writes reflects the computation that directly produces its answer.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-building-socio-affective-artificial-intelligence-for-interactive/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-building-socio-affective-artificial-intelligence-for-interactive/</guid><description>The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-escaping-python-dependency-hell-a-hybrid/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-escaping-python-dependency-hell-a-hybrid/</guid><description>Dependency conflicts in Python ecosystems arise from incompatible version constraints, missing packages, and undocumented compatibility relationships, causing many real-world code snippets to fail at execution.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-harness-as-a-language-a-minimalist/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-harness-as-a-language-a-minimalist/</guid><description>JAZ</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Math Reasoning in LLMs is Organized by Approach, Not Topic</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-math-reasoning-in-llms-is-organized/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-math-reasoning-in-llms-is-organized/</guid><description>Mathematical reasoning benchmarks are typically organized by topic, but language models may organize their internal computation by reusable reasoning approach instead.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Reinforcement Learning with Decomposed Subtasks</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-reinforcement-learning-with-decomposed-subtasks/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-reinforcement-learning-with-decomposed-subtasks/</guid><description>Reinforcement</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-silent-failures-in-agent-tool-interaction-an/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-silent-failures-in-agent-tool-interaction-an/</guid><description>Agentic AI systems are increasingly adopting automated pipelines that integrate multiple tools.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Training Intelligent Voice Assistant Wakeup with Controllable Synthetic Conversations</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-training-intelligent-voice-assistant-wakeup-with/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-training-intelligent-voice-assistant-wakeup-with/</guid><description>This paper introduces a novel</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>TwinCheck: Evidence-Grounded Negative-Twin Verification for Stateful Tool Agents</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-twincheck-evidence-grounded-negative-twin-verification-for-stateful/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-twincheck-evidence-grounded-negative-twin-verification-for-stateful/</guid><description>TwinCheck</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Which Objectives Need a Dial? Predicting Objective Conflict and Covering Trade-offs in Steerable Pluralistic Alignment</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-which-objectives-need-a-dial-predicting/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-which-objectives-need-a-dial-predicting/</guid><description>Multi-Objective Direct Preference</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Policy-as-Skill: Governed LLM Decision Support with Evidence, Deterministic Control, and Audit</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-policy-as-skill-governed-llm-decision-support-with/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-policy-as-skill-governed-llm-decision-support-with/</guid><description>Policy-</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Propose, Don&apos;t Judge: An Anytime-Valid Referee for LLM Agents That Mine Investment Factors</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-25-propose-dont-judge-an-anytime-valid-referee/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-25-propose-dont-judge-an-anytime-valid-referee/</guid><description>Language-model</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Agreement Overstates Evidence: Error Dependence in LLM Judge Consensus</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-agreement-overstates-evidence-error-dependence-in/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-agreement-overstates-evidence-error-dependence-in/</guid><description>Researchers report correlated errors among LLM judges, so agreement between judges may overstate the evidence.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>An Affordable AI-Integrated Smart Cane for Multimodal Mobility Assistance of Visually Impaired Users</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-an-affordable-ai-integrated-smart-cane-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-an-affordable-ai-integrated-smart-cane-for/</guid><description>Visual impairment affects over 2.2 billion people worldwide, yet conventional white canes cannot detect elevated hazards or provide semantic environmental context.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>AutoGym: Blueprint-First Generation of Verifiable Agent Gyms</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-autogym-blueprint-first-generation-of-verifiable-agent/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-autogym-blueprint-first-generation-of-verifiable-agent/</guid><description>Researchers introduce AutoGym, a framework for generating agent-training tasks with executable environments and verifiers.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Didactic knowledge or Clinical Cases? How Data Types Shape Medical Large Language Models</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-didactic-knowledge-or-clinical-cases-how/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-didactic-knowledge-or-clinical-cases-how/</guid><description>Medical large language models are commonly trained on mixtures of didactic data (e.g., textbooks) and clinical data (e.g., patient records), yet how these data types differentially shape model capabilities remains unclear.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Goal-driven Variant Categorization</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-goal-driven-variant-categorization/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-goal-driven-variant-categorization/</guid><description>Process discovery rarely yields a single coherent process structure.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Grab and OpenAI bring practical AI skills to Southeast Asia</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-grab-and-openai-bring-practical-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-grab-and-openai-bring-practical-ai/</guid><description>OpenAI and Grab launch GO Forward with AI, a regional programme helping 30,000 partners build practical AI skills across Southeast Asia.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Foundation Models</category></item><item><title>IntLawNER: A Named Entity Recognition Dataset and Benchmark in International Law</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-intlawner-a-named-entity-recognition-dataset/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-intlawner-a-named-entity-recognition-dataset/</guid><description>International law provides the normative framework through which states coordinate action, regulate armed conflict, and protect human rights, yet its texts remain without token-level named entity recognition (NER) resources.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>PAANI : On Device Visual Evidence Fusion and Explainable Guidance for River Robot Simulation</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-paani-on-device-visual-evidence-fusion/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-paani-on-device-visual-evidence-fusion/</guid><description>Mobile river monitoring robots must interpret obstacles and water boundaries that geographic waypoints alone cannot describe.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Replication Without Persistence in Hosted LLMs: Measurement Sensitivity in Action-Time Belief Evaluation</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-replication-without-persistence-in-hosted-llms/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-replication-without-persistence-in-hosted-llms/</guid><description>Behavioural evaluations of hosted language models can vary because the evaluated service, the measurement instrument, or both differ across runs.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>Social Influence and the Allocation of Scientific Attention in AI Populations</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-social-influence-and-the-allocation-of/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-social-influence-and-the-allocation-of/</guid><description>AI systems are becoming participants in the evaluation and use of scientific research.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>The Wisdom of Artificial Deliberative Crowds</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-23-the-wisdom-of-artificial-deliberative-crowds/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-23-the-wisdom-of-artificial-deliberative-crowds/</guid><description>The aggregation of many lay estimates often outperforms individual expert judgment, a phenomenon known as the wisdom of crowds.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>EvidenT: Building Trustworthy Enterprise Assistants through Evidence Groundedness and Traceability</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-evident-building-trustworthy-enterprise-assistants-through/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-evident-building-trustworthy-enterprise-assistants-through/</guid><description>Enterprise AI assistants must produce responses that are verifiable and traceable to source evidence.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>MAWILE: Multi-Axis Workbench for Inspecting LLM Evaluators</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-24-mawile-multi-axis-workbench-for-inspecting-llm/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-24-mawile-multi-axis-workbench-for-inspecting-llm/</guid><description>Large language model (LLM) judges provide a flexible and scalable method for evaluating model and agent outputs, but their verdicts can be sensitive to incidental changes in the evaluated response, judge instructions, and scoring rubric.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Research</category></item><item><title>At AI Day Singapore, NVIDIA and Partners Showcase AI Advancements Across Southeast Asia</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-at-ai-day-singapore-nvidia-and/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-at-ai-day-singapore-nvidia-and/</guid><description>NVIDIA AI</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Better prompt caching for GPT-6</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-22-better-prompt-caching-for-gpt-6/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-22-better-prompt-caching-for-gpt-6/</guid><description>OpenAI says GPT-6 prompt caching improves cache reuse and adds diagnostics and explicit cache breakpoints.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Foundation Models</category></item><item><title>Anthropic introduces Claude Opus 5.5</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-22-claude-opus-55-official-release/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-22-claude-opus-55-official-release/</guid><description>Anthropic announced Claude Opus 5.5 on September 22. It says typical workloads cost 40% less than Opus 5; the claim comes from Anthropic&apos;s own tests.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Foundation Models</category><category>anthropic</category><category>claude</category><category>model-release</category></item><item><title>OpenAI introduces GPT-6 Sol and GPT-6 Luna</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-22-gpt-6-sol-official-release/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-22-gpt-6-sol-official-release/</guid><description>OpenAI announced GPT-6 Sol and Luna on September 22. The company says both are available through its API and Codex, with different capability and cost profiles.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Foundation Models</category><category>openai</category><category>gpt-6</category><category>model-release</category></item><item><title>NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-nvidia-isaac-ros-50-advances-agentic/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-nvidia-isaac-ros-50-advances-agentic/</guid><description>NVIDIA Isaac ROS</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>5 Companies Using NVIDIA AI for Clean Energy</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-5-companies-using-nvidia-ai-for/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-5-companies-using-nvidia-ai-for/</guid><description>NVIDIA is highlighting</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-ai-security-is-an-engineering-problem/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-ai-security-is-an-engineering-problem/</guid><description>AI security is an</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-from-enablement-to-execution-egypts-ai/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-from-enablement-to-execution-egypts-ai/</guid><description>Egypt’s AI builders</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-nvidia-launches-dsx-ready-to-qualify/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-nvidia-launches-dsx-ready-to-qualify/</guid><description>Every AI factory needs power and cooling that fit its computing architecture.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item><item><title>Why Deploying Physical AI at Scale Demands Safety at Every Layer</title><link>https://emirfs.github.io/ai-news-hub/news/2026-09-26-why-deploying-physical-ai-at-scale/</link><guid isPermaLink="true">https://emirfs.github.io/ai-news-hub/news/2026-09-26-why-deploying-physical-ai-at-scale/</guid><description>Physical AI is moving rapidly from research to large-scale deployment.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate><category>Robotics &amp; Hardware</category></item></channel></rss>