<?xml version="1.0" encoding="UTF-8"?>
<!-- This sitemap was dynamically generated on April 29, 2026 at 5:29 am by All in One SEO v4.9.6.2 - 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[Wed, 29 Apr 2026 05:05:38 +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/mistral-workflows-durable-ai-orchestration-built-on-temporal/]]></guid>
			<link><![CDATA[https://provide.ai/mistral-workflows-durable-ai-orchestration-built-on-temporal/]]></link>
			<title>Mistral Workflows: durable AI orchestration built on Temporal</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 05:05:38 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/hipfire-dev-update-full-amd-arch-validation-incoming-rdna-1-thru-4-plus-strix-halo-and-bc250/]]></guid>
			<link><![CDATA[https://provide.ai/hipfire-dev-update-full-amd-arch-validation-incoming-rdna-1-thru-4-plus-strix-halo-and-bc250/]]></link>
			<title>Hipfire dev update: full AMD arch validation incoming (RDNA 1 thru 4, plus Strix Halo and bc250)</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 05:04:33 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/perplexity-builds-accuracy-into-frontier-ai/]]></guid>
			<link><![CDATA[https://provide.ai/perplexity-builds-accuracy-into-frontier-ai/]]></link>
			<title>Perplexity Builds Accuracy into Frontier AI</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:55:25 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/deepseek-v4-pricing-is-genuinely-silly-did-the-math-and-now-i-am-questioning-my-entire-stack/]]></guid>
			<link><![CDATA[https://provide.ai/deepseek-v4-pricing-is-genuinely-silly-did-the-math-and-now-i-am-questioning-my-entire-stack/]]></link>
			<title>Deepseek v4 pricing is genuinely silly, did the math and now i am questioning my entire stack</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:39:14 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/identity-discovery-the-overlooked-lever-in-strategic-risk-reduction/]]></guid>
			<link><![CDATA[https://provide.ai/identity-discovery-the-overlooked-lever-in-strategic-risk-reduction/]]></link>
			<title>Identity discovery: The overlooked lever in strategic risk reduction</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:30:21 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/ai-sandboxes-with-memory/]]></guid>
			<link><![CDATA[https://provide.ai/ai-sandboxes-with-memory/]]></link>
			<title>AI Sandboxes with Memory</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:27:49 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/do-ai-tools-reduce-friction-at-the-cost-of-deeper-thinking/]]></guid>
			<link><![CDATA[https://provide.ai/do-ai-tools-reduce-friction-at-the-cost-of-deeper-thinking/]]></link>
			<title>Do AI tools reduce friction at the cost of deeper thinking?</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:20:04 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/scenario-5-claude-certified-architect-foundation/]]></guid>
			<link><![CDATA[https://provide.ai/scenario-5-claude-certified-architect-foundation/]]></link>
			<title>Scenario 5 | Claude Certified Architect Foundation</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:18:32 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/a-risk-based-validation-framework-for-ai-systems-in-gxp-regulated-environments/]]></guid>
			<link><![CDATA[https://provide.ai/a-risk-based-validation-framework-for-ai-systems-in-gxp-regulated-environments/]]></link>
			<title>A Risk-Based Validation Framework for AI Systems in GxP-Regulated Environments</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:12:50 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/five-conditions-of-sentient-life/]]></guid>
			<link><![CDATA[https://provide.ai/five-conditions-of-sentient-life/]]></link>
			<title>FIVE CONDITIONS OF SENTIENT LIFE</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:11:55 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/ive-generated-over-2000-suno-songs-heres-why-most-of-them-were-garbage-and-what-fixed-it/]]></guid>
			<link><![CDATA[https://provide.ai/ive-generated-over-2000-suno-songs-heres-why-most-of-them-were-garbage-and-what-fixed-it/]]></link>
			<title>I’ve Generated Over 2,000 Suno Songs. Here’s Why Most of Them Were Garbage (And What Fixed It)</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:11:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/why-ai-startup-offices-in-nyc-are-flashy-but-mostly-empty/]]></guid>
			<link><![CDATA[https://provide.ai/why-ai-startup-offices-in-nyc-are-flashy-but-mostly-empty/]]></link>
			<title>Why AI Startup Offices in NYC Are Flashy but Mostly Empty</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:06:56 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/the-evolution-of-machine-learning-a-decade-that-rewrote-intelligence-2015-2025/]]></guid>
			<link><![CDATA[https://provide.ai/the-evolution-of-machine-learning-a-decade-that-rewrote-intelligence-2015-2025/]]></link>
			<title>The Evolution of Machine Learning: A Decade That Rewrote Intelligence (2015–2025)</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:03:53 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/which-local-llm-can-actually-be-creative-i-tested-9/]]></guid>
			<link><![CDATA[https://provide.ai/which-local-llm-can-actually-be-creative-i-tested-9/]]></link>
			<title>Which Local LLM Can Actually Be Creative? I Tested 9</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:02:03 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/artificial-intelligence-ai-explained-in-a-beginner-friendly-way-part-2/]]></guid>
			<link><![CDATA[https://provide.ai/artificial-intelligence-ai-explained-in-a-beginner-friendly-way-part-2/]]></link>
			<title>Artificial Intelligence (AI): Explained in a Beginner-Friendly Way (Part 2)</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:02:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/the-versioned-filesystem-for-ai-agents/]]></guid>
			<link><![CDATA[https://provide.ai/the-versioned-filesystem-for-ai-agents/]]></link>
			<title>The versioned filesystem for AI agents</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:01:59 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/하네스-엔지니어링-서브에이전트와-confirmation-시스템/]]></guid>
			<link><![CDATA[https://provide.ai/하네스-엔지니어링-서브에이전트와-confirmation-시스템/]]></link>
			<title>하네스 엔지니어링: 서브에이전트와 Confirmation 시스템</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:01:31 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/the-human-premium-why-well-pay-more-for-imperfection-in-an-age-of-ai-perfection/]]></guid>
			<link><![CDATA[https://provide.ai/the-human-premium-why-well-pay-more-for-imperfection-in-an-age-of-ai-perfection/]]></link>
			<title>The Human Premium: Why We’ll Pay More for Imperfection in an Age of AI Perfection</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:01:01 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/the-roi-of-ai-for-health-payers-moving-from-hype-to-hard-savings/]]></guid>
			<link><![CDATA[https://provide.ai/the-roi-of-ai-for-health-payers-moving-from-hype-to-hard-savings/]]></link>
			<title>The ROI of AI for Health Payers: Moving from Hype to Hard Savings</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:34 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/beyond-static-related-questions-retrieval-through-conversations-in-community-question-answering/]]></guid>
			<link><![CDATA[https://provide.ai/beyond-static-related-questions-retrieval-through-conversations-in-community-question-answering/]]></link>
			<title>Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/vocabulary-dropout-for-curriculum-diversity-in-llm-co-evolution-2/]]></guid>
			<link><![CDATA[https://provide.ai/vocabulary-dropout-for-curriculum-diversity-in-llm-co-evolution-2/]]></link>
			<title>Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/information-theoretic-measures-in-ai-a-practical-decision-guide/]]></guid>
			<link><![CDATA[https://provide.ai/information-theoretic-measures-in-ai-a-practical-decision-guide/]]></link>
			<title>Information-Theoretic Measures in AI: A Practical Decision Guide</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/heterogeneous-variational-inference-for-markov-degradation-hazard-models-discretized-mixture-with-interpretable-clusters/]]></guid>
			<link><![CDATA[https://provide.ai/heterogeneous-variational-inference-for-markov-degradation-hazard-models-discretized-mixture-with-interpretable-clusters/]]></link>
			<title>Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/monitoring-exposure-length-variations-in-submarine-power-cables-using-distributed-fiber-optic-sensing/]]></guid>
			<link><![CDATA[https://provide.ai/monitoring-exposure-length-variations-in-submarine-power-cables-using-distributed-fiber-optic-sensing/]]></link>
			<title>Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/language-models-might-not-understand-you-evaluating-theory-of-mind-via-story-prompting/]]></guid>
			<link><![CDATA[https://provide.ai/language-models-might-not-understand-you-evaluating-theory-of-mind-via-story-prompting/]]></link>
			<title>Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/conformal-pm2-5-mapping-under-spatial-covariate-shift-satellite-reanalysis-fusion-for-africas-green-industrial-transition/]]></guid>
			<link><![CDATA[https://provide.ai/conformal-pm2-5-mapping-under-spatial-covariate-shift-satellite-reanalysis-fusion-for-africas-green-industrial-transition/]]></link>
			<title>Conformal PM2.5 Mapping Under Spatial Covariate Shift: Satellite-Reanalysis Fusion for Africa&#8217;s Green Industrial Transition</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/longsumeval-question-answering-based-evaluation-and-feedback-driven-refinement-for-long-document-summarization/]]></guid>
			<link><![CDATA[https://provide.ai/longsumeval-question-answering-based-evaluation-and-feedback-driven-refinement-for-long-document-summarization/]]></link>
			<title>LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/latent-hysteresis-graph-odes-modeling-coupled-topology-feature-evolution-via-continuous-phase-transitions/]]></guid>
			<link><![CDATA[https://provide.ai/latent-hysteresis-graph-odes-modeling-coupled-topology-feature-evolution-via-continuous-phase-transitions/]]></link>
			<title>Latent-Hysteresis Graph ODEs: Modeling Coupled Topology-Feature Evolution via Continuous Phase Transitions</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/drifting-fields-are-not-conservative-2/]]></guid>
			<link><![CDATA[https://provide.ai/drifting-fields-are-not-conservative-2/]]></link>
			<title>Drifting Fields are not Conservative</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/relational-in-context-learning-via-synthetic-pre-training-with-structural-prior/]]></guid>
			<link><![CDATA[https://provide.ai/relational-in-context-learning-via-synthetic-pre-training-with-structural-prior/]]></link>
			<title>Relational In-Context Learning via Synthetic Pre-training with Structural Prior</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/quantifying-divergence-in-inter-llm-communication-through-api-retrieval-and-ranking/]]></guid>
			<link><![CDATA[https://provide.ai/quantifying-divergence-in-inter-llm-communication-through-api-retrieval-and-ranking/]]></link>
			<title>Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/benchmarking-and-mitigating-sycophancy-in-medical-vision-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/benchmarking-and-mitigating-sycophancy-in-medical-vision-language-models/]]></link>
			<title>Benchmarking and Mitigating Sycophancy in Medical Vision Language Models</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/using-embedding-models-to-improve-probabilistic-race-prediction-2/]]></guid>
			<link><![CDATA[https://provide.ai/using-embedding-models-to-improve-probabilistic-race-prediction-2/]]></link>
			<title>Using Embedding Models to Improve Probabilistic Race Prediction</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/weatherseg-weather-robust-image-segmentation-using-teacher-student-dual-learning-and-classifier-updating-attention-2/]]></guid>
			<link><![CDATA[https://provide.ai/weatherseg-weather-robust-image-segmentation-using-teacher-student-dual-learning-and-classifier-updating-attention-2/]]></link>
			<title>WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/expert-evaluation-of-llms-open-ended-legal-reasoning-on-the-japanese-bar-exam-writing-task/]]></guid>
			<link><![CDATA[https://provide.ai/expert-evaluation-of-llms-open-ended-legal-reasoning-on-the-japanese-bar-exam-writing-task/]]></link>
			<title>Expert Evaluation of LLM&#8217;s Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/negative-ontology-of-true-target-for-machine-learning-towards-evaluation-and-learning-under-democratic-supervision/]]></guid>
			<link><![CDATA[https://provide.ai/negative-ontology-of-true-target-for-machine-learning-towards-evaluation-and-learning-under-democratic-supervision/]]></link>
			<title>Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/uncovering-exotic-paired-states-in-the-2d-spin-imbalanced-fermi-gas-with-neural-wave-functions/]]></guid>
			<link><![CDATA[https://provide.ai/uncovering-exotic-paired-states-in-the-2d-spin-imbalanced-fermi-gas-with-neural-wave-functions/]]></link>
			<title>Uncovering Exotic Paired States in the 2D Spin-Imbalanced Fermi Gas with Neural Wave Functions</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/ugaf-its-a-standards-harmonization-framework-and-validation-tool-for-multi-framework-ai-governance-in-distributed-intelligent-transportation-systems/]]></guid>
			<link><![CDATA[https://provide.ai/ugaf-its-a-standards-harmonization-framework-and-validation-tool-for-multi-framework-ai-governance-in-distributed-intelligent-transportation-systems/]]></link>
			<title>UGAF-ITS: A Standards Harmonization Framework and Validation Tool for Multi-Framework AI Governance in Distributed Intelligent Transportation Systems</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/what-makes-good-instruction-tuning-data-an-in-context-learning-perspective/]]></guid>
			<link><![CDATA[https://provide.ai/what-makes-good-instruction-tuning-data-an-in-context-learning-perspective/]]></link>
			<title>What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/diffusion-templates-a-unified-plugin-framework-for-controllable-diffusion/]]></guid>
			<link><![CDATA[https://provide.ai/diffusion-templates-a-unified-plugin-framework-for-controllable-diffusion/]]></link>
			<title>Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/evaluating-computational-pathology-foundation-models-for-prostate-cancer-grading-under-distribution-shifts/]]></guid>
			<link><![CDATA[https://provide.ai/evaluating-computational-pathology-foundation-models-for-prostate-cancer-grading-under-distribution-shifts/]]></link>
			<title>Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/mobilellm-flash-latency-guided-on-device-llm-design-for-industry-scale-deployment/]]></guid>
			<link><![CDATA[https://provide.ai/mobilellm-flash-latency-guided-on-device-llm-design-for-industry-scale-deployment/]]></link>
			<title>MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/verifying-quantized-gnns-with-readout-is-decidable-but-highly-intractable/]]></guid>
			<link><![CDATA[https://provide.ai/verifying-quantized-gnns-with-readout-is-decidable-but-highly-intractable/]]></link>
			<title>Verifying Quantized GNNs With Readout Is Decidable But Highly Intractable</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/generative-ai-carries-non-democratic-biases-and-stereotypes-representation-of-women-black-individuals-age-groups-and-people-with-disability-in-ai-generated-images-across-occupations/]]></guid>
			<link><![CDATA[https://provide.ai/generative-ai-carries-non-democratic-biases-and-stereotypes-representation-of-women-black-individuals-age-groups-and-people-with-disability-in-ai-generated-images-across-occupations/]]></link>
			<title>Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/modeling-induced-pleasure-through-cognitive-appraisal-prediction-via-multimodal-fusion/]]></guid>
			<link><![CDATA[https://provide.ai/modeling-induced-pleasure-through-cognitive-appraisal-prediction-via-multimodal-fusion/]]></link>
			<title>Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/incompressible-knowledge-probes-estimating-black-box-llm-parameter-counts-via-factual-capacity/]]></guid>
			<link><![CDATA[https://provide.ai/incompressible-knowledge-probes-estimating-black-box-llm-parameter-counts-via-factual-capacity/]]></link>
			<title>Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/vibetoken-scaling-1d-image-tokenizers-and-autoregressive-models-for-dynamic-resolution-generations/]]></guid>
			<link><![CDATA[https://provide.ai/vibetoken-scaling-1d-image-tokenizers-and-autoregressive-models-for-dynamic-resolution-generations/]]></link>
			<title>VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/see-no-evil-semantic-context-aware-privacy-risk-detection-for-ar/]]></guid>
			<link><![CDATA[https://provide.ai/see-no-evil-semantic-context-aware-privacy-risk-detection-for-ar/]]></link>
			<title>See No Evil: Semantic Context-Aware Privacy Risk Detection for AR</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/korean-aegyo-speech-shows-systematic-f1-increase-to-signal-childlike-qualities/]]></guid>
			<link><![CDATA[https://provide.ai/korean-aegyo-speech-shows-systematic-f1-increase-to-signal-childlike-qualities/]]></link>
			<title>Korean aegyo speech shows systematic F1 increase to signal childlike qualities</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://provide.ai/bandroutenet-an-adaptive-band-routing-neural-network-for-eeg-artifact-removal/]]></guid>
			<link><![CDATA[https://provide.ai/bandroutenet-an-adaptive-band-routing-neural-network-for-eeg-artifact-removal/]]></link>
			<title>BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal</title>
			<pubDate><![CDATA[Wed, 29 Apr 2026 04:00:00 +0000]]></pubDate>
		</item>
				</channel>
</rss>
