<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on April 6, 2026 at 5:15 am by All in One SEO v4.9.5.1 - the original SEO plugin for WordPress. -->

<?xml-stylesheet type="text/xsl" href="https://provide.ai/default-sitemap.xsl"?>

<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
	<channel>
		<title>Provide.ai</title>
		<link><![CDATA[https://provide.ai]]></link>
		<description><![CDATA[Provide.ai]]></description>
		<lastBuildDate><![CDATA[Mon, 06 Apr 2026 05:01:47 +0000]]></lastBuildDate>
		<docs>https://validator.w3.org/feed/docs/rss2.html</docs>
		<atom:link href="https://provide.ai/sitemap.rss" rel="self" type="application/rss+xml" />
		<ttl><![CDATA[60]]></ttl>

		<item>
			<guid><![CDATA[https://provide.ai/should-you-fear-ai/]]></guid>
			<link><![CDATA[https://provide.ai/should-you-fear-ai/]]></link>
			<title>Should you fear AI?</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 05:01:47 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/word2vec-explained-the-moment-words-became-relations/]]></guid>
			<link><![CDATA[https://provide.ai/word2vec-explained-the-moment-words-became-relations/]]></link>
			<title>Word2Vec Explained: The Moment Words Became Relations</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:22:19 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/google-deepmind-just-mapped-every-way-the-web-can-hijack-your-ai-agent/]]></guid>
			<link><![CDATA[https://provide.ai/google-deepmind-just-mapped-every-way-the-web-can-hijack-your-ai-agent/]]></link>
			<title>Google DeepMind Just Mapped Every Way the Web Can Hijack Your AI Agent</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:21:48 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/claude-certified-architect-master-the-ci-cd-scenario-for-the-cca-foundations-exam-the-flags/]]></guid>
			<link><![CDATA[https://provide.ai/claude-certified-architect-master-the-ci-cd-scenario-for-the-cca-foundations-exam-the-flags/]]></link>
			<title>Claude Certified Architect: Master the CI/CD scenario for the CCA Foundations Exam — the flags…</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:19:53 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/estimates-of-the-expected-utility-gain-of-ai-safety-research/]]></guid>
			<link><![CDATA[https://provide.ai/estimates-of-the-expected-utility-gain-of-ai-safety-research/]]></link>
			<title>Estimates of the expected utility gain of AI Safety Research</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:19:28 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/production-rag-from-anti-patterns-to-platform-engineering/]]></guid>
			<link><![CDATA[https://provide.ai/production-rag-from-anti-patterns-to-platform-engineering/]]></link>
			<title>Production RAG: From Anti-Patterns to Platform Engineering</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:19:20 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/hallucination-is-not-a-bug-it-is-a-theorem-here-is-the-5th-grade-math-that-proves-it/]]></guid>
			<link><![CDATA[https://provide.ai/hallucination-is-not-a-bug-it-is-a-theorem-here-is-the-5th-grade-math-that-proves-it/]]></link>
			<title>Hallucination is not a Bug. It is a Theorem. Here is the 5th-Grade Math That Proves It.</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:18:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/4-vectorless-rag-approaches-and-why-vector-based-rag-fails-a-2026-guide/]]></guid>
			<link><![CDATA[https://provide.ai/4-vectorless-rag-approaches-and-why-vector-based-rag-fails-a-2026-guide/]]></link>
			<title>4 Vectorless RAG Approaches — And Why Vector-Based RAG Fails ( A 2026 Guide )</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:17:07 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/turboquant-explained-extreme-ai-compression-for-faster-cheaper-llm-inference-and-vector-search/]]></guid>
			<link><![CDATA[https://provide.ai/turboquant-explained-extreme-ai-compression-for-faster-cheaper-llm-inference-and-vector-search/]]></link>
			<title>TurboQuant Explained: Extreme AI Compression for Faster, Cheaper LLM Inference and Vector Search</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:16:31 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/stop-pushing-ai-generated-code-to-git/]]></guid>
			<link><![CDATA[https://provide.ai/stop-pushing-ai-generated-code-to-git/]]></link>
			<title>Stop Pushing AI Generated Code to Git</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:15:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/eight-years-of-wanting-three-months-of-building-with-ai-3/]]></guid>
			<link><![CDATA[https://provide.ai/eight-years-of-wanting-three-months-of-building-with-ai-3/]]></link>
			<title>Eight years of wanting, three months of building with AI</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:09:41 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/the-great-unemployment-dream/]]></guid>
			<link><![CDATA[https://provide.ai/the-great-unemployment-dream/]]></link>
			<title>The Great Unemployment Dream</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:03:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/the-dark-side-of-being-tooself-aware-when-introspectionbecomes-a-trap/]]></guid>
			<link><![CDATA[https://provide.ai/the-dark-side-of-being-tooself-aware-when-introspectionbecomes-a-trap/]]></link>
			<title>The Dark Side of Being Too
Self-Aware: When Introspection
Becomes a Trap</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:02:12 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/how-to-build-a-multi-model-ai-architecture-that-scales/]]></guid>
			<link><![CDATA[https://provide.ai/how-to-build-a-multi-model-ai-architecture-that-scales/]]></link>
			<title>How to Build a Multi-Model AI Architecture That Scales</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:01:51 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/peter-diamandis-thought-experiment-and-what-grok-told-me-about-it/]]></guid>
			<link><![CDATA[https://provide.ai/peter-diamandis-thought-experiment-and-what-grok-told-me-about-it/]]></link>
			<title>Peter Diamandis’ Thought Experiment and What Grok Told Me About It</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:01:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/cisos-grapple-with-ai-demands-within-flat-budgets/]]></guid>
			<link><![CDATA[https://provide.ai/cisos-grapple-with-ai-demands-within-flat-budgets/]]></link>
			<title>CISOs grapple with AI demands within flat budgets</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:36 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/im-100x-more-productive-and-more-exhausted-than-ever/]]></guid>
			<link><![CDATA[https://provide.ai/im-100x-more-productive-and-more-exhausted-than-ever/]]></link>
			<title>I’m 100x More Productive and More Exhausted Than Ever</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/domain-adapted-retrieval-for-in-context-annotation-of-pedagogical-dialogue-acts/]]></guid>
			<link><![CDATA[https://provide.ai/domain-adapted-retrieval-for-in-context-annotation-of-pedagogical-dialogue-acts/]]></link>
			<title>Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/zero-shot-concept-bottleneck-models/]]></guid>
			<link><![CDATA[https://provide.ai/zero-shot-concept-bottleneck-models/]]></link>
			<title>Zero-shot Concept Bottleneck Models</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/cera-overcoming-the-linear-ceiling-of-low-rank-adaptation-via-capacity-expansion/]]></guid>
			<link><![CDATA[https://provide.ai/cera-overcoming-the-linear-ceiling-of-low-rank-adaptation-via-capacity-expansion/]]></link>
			<title>CeRA: Overcoming the Linear Ceiling of Low-Rank Adaptation via Capacity Expansion</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/machine-translation-in-the-wild-user-reaction-to-xiaohongshus-built-in-translation-feature/]]></guid>
			<link><![CDATA[https://provide.ai/machine-translation-in-the-wild-user-reaction-to-xiaohongshus-built-in-translation-feature/]]></link>
			<title>Machine Translation in the Wild: User Reaction to Xiaohongshu&#8217;s Built-In Translation Feature</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/vbgs-slam-variational-bayesian-gaussian-splatting-simultaneous-localization-and-mapping/]]></guid>
			<link><![CDATA[https://provide.ai/vbgs-slam-variational-bayesian-gaussian-splatting-simultaneous-localization-and-mapping/]]></link>
			<title>VBGS-SLAM: Variational Bayesian Gaussian Splatting Simultaneous Localization and Mapping</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/from-theory-to-practice-code-generation-using-llms-for-capec-and-cwe-frameworks/]]></guid>
			<link><![CDATA[https://provide.ai/from-theory-to-practice-code-generation-using-llms-for-capec-and-cwe-frameworks/]]></link>
			<title>From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/prism-policy-reuse-via-interpretable-strategy-mapping-in-reinforcement-learning/]]></guid>
			<link><![CDATA[https://provide.ai/prism-policy-reuse-via-interpretable-strategy-mapping-in-reinforcement-learning/]]></link>
			<title>Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/fighting-ai-with-ai-ai-agent-augmented-dns-blocking-of-llm-services-during-student-evaluations/]]></guid>
			<link><![CDATA[https://provide.ai/fighting-ai-with-ai-ai-agent-augmented-dns-blocking-of-llm-services-during-student-evaluations/]]></link>
			<title>Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/paoli-pose-free-articulated-object-learning-from-sparse-view-images/]]></guid>
			<link><![CDATA[https://provide.ai/paoli-pose-free-articulated-object-learning-from-sparse-view-images/]]></link>
			<title>PAOLI: Pose-free Articulated Object Learning from Sparse-view Images</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/quotient-based-posterior-analysis-for-euclidean-latent-space-models/]]></guid>
			<link><![CDATA[https://provide.ai/quotient-based-posterior-analysis-for-euclidean-latent-space-models/]]></link>
			<title>Quotient-Based Posterior Analysis for Euclidean Latent Space Models</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/ai-assisted-unit-test-writing-and-test-driven-code-refactoring-a-case-study/]]></guid>
			<link><![CDATA[https://provide.ai/ai-assisted-unit-test-writing-and-test-driven-code-refactoring-a-case-study/]]></link>
			<title>AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/borderless-long-speech-synthesis/]]></guid>
			<link><![CDATA[https://provide.ai/borderless-long-speech-synthesis/]]></link>
			<title>Borderless Long Speech Synthesis</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/local-reinforcement-learning-with-action-conditioned-root-mean-squared-q-functions/]]></guid>
			<link><![CDATA[https://provide.ai/local-reinforcement-learning-with-action-conditioned-root-mean-squared-q-functions/]]></link>
			<title>Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/safesci-safety-evaluation-of-large-language-models-in-science-domains-and-beyond/]]></guid>
			<link><![CDATA[https://provide.ai/safesci-safety-evaluation-of-large-language-models-in-science-domains-and-beyond/]]></link>
			<title>SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/explorevla-dense-world-modeling-and-exploration-for-end-to-end-autonomous-driving/]]></guid>
			<link><![CDATA[https://provide.ai/explorevla-dense-world-modeling-and-exploration-for-end-to-end-autonomous-driving/]]></link>
			<title>ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/pragmatics-meets-culture-culturally-adapted-artwork-description-generation-and-evaluation/]]></guid>
			<link><![CDATA[https://provide.ai/pragmatics-meets-culture-culturally-adapted-artwork-description-generation-and-evaluation/]]></link>
			<title>Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/evaluating-small-language-models-for-front-door-routing-a-harmonized-benchmark-and-synthetic-traffic-experiment/]]></guid>
			<link><![CDATA[https://provide.ai/evaluating-small-language-models-for-front-door-routing-a-harmonized-benchmark-and-synthetic-traffic-experiment/]]></link>
			<title>Evaluating Small Language Models for Front-Door Routing: A Harmonized Benchmark and Synthetic-Traffic Experiment</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/from-broad-exploration-to-stable-synthesis-entropy-guided-optimization-for-autoregressive-image-generation/]]></guid>
			<link><![CDATA[https://provide.ai/from-broad-exploration-to-stable-synthesis-entropy-guided-optimization-for-autoregressive-image-generation/]]></link>
			<title>From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/trace-traceroute-based-internet-route-change-analysis-with-ensemble-learning/]]></guid>
			<link><![CDATA[https://provide.ai/trace-traceroute-based-internet-route-change-analysis-with-ensemble-learning/]]></link>
			<title>TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/frame-theoretical-derivation-of-three-factor-learning-rule-for-ojas-subspace-rule/]]></guid>
			<link><![CDATA[https://provide.ai/frame-theoretical-derivation-of-three-factor-learning-rule-for-ojas-subspace-rule/]]></link>
			<title>Frame Theoretical Derivation of Three Factor Learning Rule for Oja&#8217;s Subspace Rule</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/saga-source-attribution-of-generative-ai-videos/]]></guid>
			<link><![CDATA[https://provide.ai/saga-source-attribution-of-generative-ai-videos/]]></link>
			<title>SAGA: Source Attribution of Generative AI Videos</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/valence-arousal-subspace-in-llms-circular-emotion-geometry-and-multi-behavioral-control/]]></guid>
			<link><![CDATA[https://provide.ai/valence-arousal-subspace-in-llms-circular-emotion-geometry-and-multi-behavioral-control/]]></link>
			<title>Valence-Arousal Subspace in LLMs: Circular Emotion Geometry and Multi-Behavioral Control</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/resting-neurons-active-insights-robustify-activation-sparsity-for-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/resting-neurons-active-insights-robustify-activation-sparsity-for-large-language-models/]]></link>
			<title>Resting Neurons, Active Insights: Robustify Activation Sparsity for Large Language Models</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/stock-market-prediction-using-node-transformer-architecture-integrated-with-bert-sentiment-analysis/]]></guid>
			<link><![CDATA[https://provide.ai/stock-market-prediction-using-node-transformer-architecture-integrated-with-bert-sentiment-analysis/]]></link>
			<title>Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/high-dimensional-many-to-many-to-many-mediation-analysis/]]></guid>
			<link><![CDATA[https://provide.ai/high-dimensional-many-to-many-to-many-mediation-analysis/]]></link>
			<title>High-dimensional Many-to-many-to-many Mediation Analysis</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/generative-ai-use-in-entrepreneurship-an-integrative-review-and-an-empowerment-entrapment-framework/]]></guid>
			<link><![CDATA[https://provide.ai/generative-ai-use-in-entrepreneurship-an-integrative-review-and-an-empowerment-entrapment-framework/]]></link>
			<title>Generative AI Use in Entrepreneurship: An Integrative Review and an Empowerment-Entrapment Framework</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/yc-bench-a-live-benchmark-for-forecasting-startup-outperformance-in-y-combinator-batches/]]></guid>
			<link><![CDATA[https://provide.ai/yc-bench-a-live-benchmark-for-forecasting-startup-outperformance-in-y-combinator-batches/]]></link>
			<title>YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/backdoor-attacks-on-decentralised-post-training/]]></guid>
			<link><![CDATA[https://provide.ai/backdoor-attacks-on-decentralised-post-training/]]></link>
			<title>Backdoor Attacks on Decentralised Post-Training</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/fact-gs-frequency-aligned-complexity-aware-texture-reparameterization-for-2d-gaussian-splatting/]]></guid>
			<link><![CDATA[https://provide.ai/fact-gs-frequency-aligned-complexity-aware-texture-reparameterization-for-2d-gaussian-splatting/]]></link>
			<title>FACT-GS: Frequency-Aligned Complexity-Aware Texture Reparameterization for 2D Gaussian Splatting</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/joint-prediction-of-human-motions-and-actions-in-human-robot-collaboration/]]></guid>
			<link><![CDATA[https://provide.ai/joint-prediction-of-human-motions-and-actions-in-human-robot-collaboration/]]></link>
			<title>Joint Prediction of Human Motions and Actions in Human-Robot Collaboration</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/infusion-shaping-model-behavior-by-editing-training-data-via-influence-functions/]]></guid>
			<link><![CDATA[https://provide.ai/infusion-shaping-model-behavior-by-editing-training-data-via-influence-functions/]]></link>
			<title>Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/pretrained-video-models-as-differentiable-physics-simulators-for-urban-wind-flows/]]></guid>
			<link><![CDATA[https://provide.ai/pretrained-video-models-as-differentiable-physics-simulators-for-urban-wind-flows/]]></link>
			<title>Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/thom-generating-physically-plausible-hand-object-meshes-from-text/]]></guid>
			<link><![CDATA[https://provide.ai/thom-generating-physically-plausible-hand-object-meshes-from-text/]]></link>
			<title>THOM: Generating Physically Plausible Hand-Object Meshes From Text</title>
			<pubDate><![CDATA[Mon, 06 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
				</channel>
</rss>
