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			<title>I made 1,720 ChatGPT prompts across 10 niches — here are 10 free ones to start</title>
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			<title>“2026 is the New 2016” — Why Everyone Is Living in the Past Again</title>
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			<title>DAY 3</title>
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			<title>The Digital Ouija Effect – Emergent Behavior in AI Models</title>
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			<title>Why AI Needs a Sense of Smell</title>
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			<title>Google Told to Share Search Data with AI Rivals in EU Proposal</title>
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			<title>I Vibe Coded and I’m Not Sorry!!</title>
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			<title>Do you ever feel like AI gives safe answers instead of real ones?</title>
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			<title>LTX 2.3 vs Wan2.1 vs CogVideoX: Which Open-Source Video Model Should You Use in 2026?</title>
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			<title>Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization</title>
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			<title>Can Large Language Models Detect Methodological Flaws? Evidence from Gesture Recognition for UAV-Based Rescue Operation Based on Deep Learning</title>
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			<title>Quantum-inspired tensor networks in machine learning models</title>
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			<guid><![CDATA[https://provide.ai/generative-models-and-connected-and-automated-vehicles-a-survey-in-exploring-the-intersection-of-transportation-and-ai/]]></guid>
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			<title>Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI</title>
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			<guid><![CDATA[https://provide.ai/social-story-frames-contextual-reasoning-about-narrative-intent-and-reception/]]></guid>
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			<title>Social Story Frames: Contextual Reasoning about Narrative Intent and Reception</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/decoupling-scores-and-text-the-politeness-principle-in-peer-review/]]></guid>
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			<title>Decoupling Scores and Text: The Politeness Principle in Peer Review</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/improving-clean-accuracy-via-a-tangent-space-perspective-on-adversarial-training/]]></guid>
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			<title>Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/functional-emotions-or-situational-contexts-a-discriminating-test-from-the-mythos-preview-system-card-2/]]></guid>
			<link><![CDATA[https://provide.ai/functional-emotions-or-situational-contexts-a-discriminating-test-from-the-mythos-preview-system-card-2/]]></link>
			<title>Functional Emotions or Situational Contexts? A Discriminating Test from the Mythos Preview System Card</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/correcting-suppressed-log-probabilities-in-language-models-with-post-transformer-adapters/]]></guid>
			<link><![CDATA[https://provide.ai/correcting-suppressed-log-probabilities-in-language-models-with-post-transformer-adapters/]]></link>
			<title>Correcting Suppressed Log-Probabilities in Language Models with Post-Transformer Adapters</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/thermodynamic-diffusion-inference-with-minimal-digital-conditioning/]]></guid>
			<link><![CDATA[https://provide.ai/thermodynamic-diffusion-inference-with-minimal-digital-conditioning/]]></link>
			<title>Thermodynamic Diffusion Inference with Minimal Digital Conditioning</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/direct-preference-optimization-for-primitive-enabled-hierarchical-rl-a-bilevel-approach/]]></guid>
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			<title>Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/when-missing-becomes-structure-intent-preserving-policy-completion-from-financial-kol-discourse/]]></guid>
			<link><![CDATA[https://provide.ai/when-missing-becomes-structure-intent-preserving-policy-completion-from-financial-kol-discourse/]]></link>
			<title>When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/attention-to-mamba-a-recipe-for-cross-architecture-distillation/]]></guid>
			<link><![CDATA[https://provide.ai/attention-to-mamba-a-recipe-for-cross-architecture-distillation/]]></link>
			<title>Attention to Mamba: A Recipe for Cross-Architecture Distillation</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/iuq-interrogative-uncertainty-quantification-for-long-form-large-language-model-generation/]]></guid>
			<link><![CDATA[https://provide.ai/iuq-interrogative-uncertainty-quantification-for-long-form-large-language-model-generation/]]></link>
			<title>IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/polybench-benchmarking-llm-forecasting-and-trading-capabilities-on-live-prediction-market-data/]]></guid>
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			<title>PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/a-nonlinear-separation-principle-applications-to-neural-networks-control-and-learning/]]></guid>
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			<title>A Nonlinear Separation Principle: Applications to Neural Networks, Control and Learning</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/maximal-brain-damage-without-data-or-optimization-disrupting-neural-networks-via-sign-bit-flips/]]></guid>
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			<title>Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/ml-based-approach-to-classification-and-generation-of-structured-light-propagation-in-turbulent-media/]]></guid>
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			<title>ML-based approach to classification and generation of structured light propagation in turbulent media</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/an-optimal-transport-driven-approach-for-cultivating-latent-space-in-online-incremental-learning-2/]]></guid>
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			<title>An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/autoran-automated-hijacking-of-safety-reasoning-in-large-reasoning-models/]]></guid>
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			<title>AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/modular-continual-learning-via-zero-leakage-reconstruction-routing-and-autonomous-task-discovery/]]></guid>
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			<title>Modular Continual Learning via Zero-Leakage Reconstruction Routing and Autonomous Task Discovery</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/neuro-oracle-a-trajectory-aware-agentic-rag-framework-for-interpretable-epilepsy-surgical-prognosis/]]></guid>
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			<title>Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/leveraging-graph-neural-networks-and-mobility-data-for-covid-19-forecasting/]]></guid>
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			<title>Leveraging graph neural networks and mobility data for COVID-19 forecasting</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/unsupervised-learning-of-local-updates-for-maximum-independent-set-in-dynamic-graphs/]]></guid>
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			<title>Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/step-level-denoising-time-diffusion-alignment-with-multiple-objectives/]]></guid>
			<link><![CDATA[https://provide.ai/step-level-denoising-time-diffusion-alignment-with-multiple-objectives/]]></link>
			<title>Step-level Denoising-time Diffusion Alignment with Multiple Objectives</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/dive-into-claude-code-the-design-space-of-todays-and-future-ai-agent-systems/]]></guid>
			<link><![CDATA[https://provide.ai/dive-into-claude-code-the-design-space-of-todays-and-future-ai-agent-systems/]]></link>
			<title>Dive into Claude Code: The Design Space of Today&#8217;s and Future AI Agent Systems</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/time-ra-towards-time-series-reasoning-for-anomaly-diagnosis-with-llm-feedback/]]></guid>
			<link><![CDATA[https://provide.ai/time-ra-towards-time-series-reasoning-for-anomaly-diagnosis-with-llm-feedback/]]></link>
			<title>Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/non-intrusive-learning-of-physics-informed-spatio-temporal-surrogate-for-accelerating-design/]]></guid>
			<link><![CDATA[https://provide.ai/non-intrusive-learning-of-physics-informed-spatio-temporal-surrogate-for-accelerating-design/]]></link>
			<title>Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://provide.ai/magnitude-is-all-you-need-rethinking-phase-in-quantum-encoding-of-complex-sar-data/]]></guid>
			<link><![CDATA[https://provide.ai/magnitude-is-all-you-need-rethinking-phase-in-quantum-encoding-of-complex-sar-data/]]></link>
			<title>Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/layerscope-predictive-cross-layer-scheduling-for-efficient-multi-batch-moe-inference-on-legacy-servers/]]></guid>
			<link><![CDATA[https://provide.ai/layerscope-predictive-cross-layer-scheduling-for-efficient-multi-batch-moe-inference-on-legacy-servers/]]></link>
			<title>LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/space-unlocking-sample-efficient-large-language-models-training-with-self-pace-curriculum-learning/]]></guid>
			<link><![CDATA[https://provide.ai/space-unlocking-sample-efficient-large-language-models-training-with-self-pace-curriculum-learning/]]></link>
			<title>SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/asynchronous-probability-ensembling-for-federated-disaster-detection/]]></guid>
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			<title>Asynchronous Probability Ensembling for Federated Disaster Detection</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/anomaly-detection-in-iec-61850-goose-networks-evaluating-unsupervised-and-temporal-learning-for-real-time-intrusion-detection/]]></guid>
			<link><![CDATA[https://provide.ai/anomaly-detection-in-iec-61850-goose-networks-evaluating-unsupervised-and-temporal-learning-for-real-time-intrusion-detection/]]></link>
			<title>Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/dpquant-efficient-and-differentially-private-model-training-via-dynamic-quantization-scheduling/]]></guid>
			<link><![CDATA[https://provide.ai/dpquant-efficient-and-differentially-private-model-training-via-dynamic-quantization-scheduling/]]></link>
			<title>DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/auxiliary-finite-difference-residual-gradient-regularization-for-pinns/]]></guid>
			<link><![CDATA[https://provide.ai/auxiliary-finite-difference-residual-gradient-regularization-for-pinns/]]></link>
			<title>Auxiliary Finite-Difference Residual-Gradient Regularization for PINNs</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/safe-reinforcement-learning-using-action-projection-safeguard-the-policy-or-the-environment/]]></guid>
			<link><![CDATA[https://provide.ai/safe-reinforcement-learning-using-action-projection-safeguard-the-policy-or-the-environment/]]></link>
			<title>Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?</title>
			<pubDate><![CDATA[Sat, 18 Apr 2026 04:00:00 +0000]]></pubDate>
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