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    <title>Models on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/models/</link>
    <description>Recent content in Models on Tenu Tech Brief</description>
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    <lastBuildDate>Thu, 26 Feb 2026 06:03:06 +0000</lastBuildDate>
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    <item>
      <title>Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts</title>
      <link>https://cluster-site.onrender.com/posts/language-models-exhibit-inconsistent-biases-towards-algorithmic-agents-and-human-experts/</link>
      <pubDate>Thu, 26 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/language-models-exhibit-inconsistent-biases-towards-algorithmic-agents-and-human-experts/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 25 Feb 2026] Title:Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts View PDF HTML</description>
    </item>
    <item>
      <title>LM Link: Use local models on remote devices, powered by Tailscale</title>
      <link>https://cluster-site.onrender.com/posts/lm-link-use-local-models-on-remote-devices-powered-by-tailscale/</link>
      <pubDate>Wed, 25 Feb 2026 21:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/lm-link-use-local-models-on-remote-devices-powered-by-tailscale/</guid>
      <description>• LM Link: Use local models on remote devices, powered by Tailscale We&amp;rsquo;re excited to announceLM Link, a partnership withLM Studio, the app that makes it easy to download, run, and</description>
    </item>
    <item>
      <title>AI models are being prepared for the physical world</title>
      <link>https://cluster-site.onrender.com/posts/ai-models-are-being-prepared-for-the-physical-world/</link>
      <pubDate>Wed, 25 Feb 2026 18:36:29 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/ai-models-are-being-prepared-for-the-physical-world/</guid>
      <description>• The race to build world models is on</description>
    </item>
    <item>
      <title>Compact deep neural network models of the visual cortex</title>
      <link>https://cluster-site.onrender.com/posts/compact-deep-neural-network-models-of-the-visual-cortex/</link>
      <pubDate>Wed, 25 Feb 2026 17:32:58 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/compact-deep-neural-network-models-of-the-visual-cortex/</guid>
      <description>• Abstract A powerful approach to understand the computations carried out by the visual cortex is to build models that predict neural responses to any arbitrary image • Deep neural</description>
    </item>
    <item>
      <title>Open WebUI &#43; Docker Model Runner: Self-Hosted Models, Zero Configuration</title>
      <link>https://cluster-site.onrender.com/posts/open-webui--docker-model-runner-self-hosted-models-zero-configuration/</link>
      <pubDate>Wed, 25 Feb 2026 14:37:33 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/open-webui--docker-model-runner-self-hosted-models-zero-configuration/</guid>
      <description>• Open WebUI + Docker Model Runner: Self-Hosted Models, Zero Configuration We&amp;rsquo;re excited to share a seamless new integration betweenDocker Model Runner(DMR) andOpen WebUI, bringing</description>
    </item>
    <item>
      <title>A Survey on Federated Fine-tuning of Large Language Models</title>
      <link>https://cluster-site.onrender.com/posts/a-survey-on-federated-fine-tuning-of-large-language-models/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-survey-on-federated-fine-tuning-of-large-language-models/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 15 Mar 2025 (v1), last revised 24 Feb 2026 (this version, v3)] Title:A Survey on Federated Fine-tuning of Large Language Models</description>
    </item>
    <item>
      <title>Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings</title>
      <link>https://cluster-site.onrender.com/posts/benchmarking-distilled-language-models-performance-and-efficiency-in-resource-constrained-settings/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/benchmarking-distilled-language-models-performance-and-efficiency-in-resource-constrained-settings/</guid>
      <description>• Computer Science &amp;gt; Computation and Language [Submitted on 28 Jan 2026] Title:Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings V</description>
    </item>
    <item>
      <title>Physics-based phenomenological characterization of cross-modal bias in multimodal models</title>
      <link>https://cluster-site.onrender.com/posts/physics-based-phenomenological-characterization-of-cross-modal-bias-in-multimodal-models/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/physics-based-phenomenological-characterization-of-cross-modal-bias-in-multimodal-models/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 24 Feb 2026] Title:Physics-based phenomenological characterization of cross-modal bias in multimodal models View PDF HTML</description>
    </item>
    <item>
      <title>Scaling State-Space Models on Multiple GPUs with Tensor Parallelism</title>
      <link>https://cluster-site.onrender.com/posts/scaling-state-space-models-on-multiple-gpus-with-tensor-parallelism/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/scaling-state-space-models-on-multiple-gpus-with-tensor-parallelism/</guid>
      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 24 Feb 2026] Title:Scaling State-Space Models on Multiple GPUs with Tensor Parallelism View PDF HTML</description>
    </item>
    <item>
      <title>When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks</title>
      <link>https://cluster-site.onrender.com/posts/when-backdoors-go-beyond-triggers-semantic-drift-in-diffusion-models-under-encoder-attacks/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/when-backdoors-go-beyond-triggers-semantic-drift-in-diffusion-models-under-encoder-attacks/</guid>
      <description>• Computer Science &amp;gt; Cryptography and Security [Submitted on 21 Feb 2026] Title:When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks View PDF</description>
    </item>
    <item>
      <title>AI Impact Summit: From Minerals to Models, India Stakes Its AI Claim</title>
      <link>https://cluster-site.onrender.com/posts/ai-impact-summit-from-minerals-to-models-india-stakes-its-ai-claim/</link>
      <pubDate>Tue, 24 Feb 2026 01:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/ai-impact-summit-from-minerals-to-models-india-stakes-its-ai-claim/</guid>
      <description>• India goes all-in on AI supremacy at the Impact Summit 2026 with a $400B push. • The post AI Impact Summit: From Minerals to Models, India Stakes Its AI Claim appeared first on E</description>
    </item>
    <item>
      <title>Toward universal steering and monitoring of AI models</title>
      <link>https://cluster-site.onrender.com/posts/toward-universal-steering-and-monitoring-of-ai-models/</link>
      <pubDate>Tue, 24 Feb 2026 00:39:12 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/toward-universal-steering-and-monitoring-of-ai-models/</guid>
      <description>• Science, Volume 391, Issue 6787, Page 787-792, February 2026. • Science, Volume 391, Issue 6787, Page 787-792, February 2026.</description>
    </item>
    <item>
      <title>Apple Foundation Models [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/apple-foundation-models-subscriber/</link>
      <pubDate>Tue, 24 Feb 2026 00:37:59 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/apple-foundation-models-subscriber/</guid>
      <description>• This module will be an introduction to the new Foundation Models framework in Swift. • The module begins with an introduction to the Foundation Models Framework by creating a sim</description>
    </item>
    <item>
      <title>3rd-Party On-Device Models [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/3rd-party-on-device-models-subscriber/</link>
      <pubDate>Tue, 24 Feb 2026 00:37:56 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/3rd-party-on-device-models-subscriber/</guid>
      <description>• Incorporating third-party machine learning models requires knowledge about the source model as well as some Core ML conversion techniques. • This module will get you started with</description>
    </item>
    <item>
      <title>Custom Models with Create ML [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</link>
      <pubDate>Tue, 24 Feb 2026 00:37:54 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</guid>
      <description>• Create ML empowers you to customize pre-built machine learning models on Apple platforms by providing training datasets. • Explore various use cases and deploy a custom model int</description>
    </item>
    <item>
      <title>Using Apple Foundation Models to Summarize Text [FREE]</title>
      <link>https://cluster-site.onrender.com/posts/using-apple-foundation-models-to-summarize-text-free/</link>
      <pubDate>Tue, 24 Feb 2026 00:37:36 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/using-apple-foundation-models-to-summarize-text-free/</guid>
      <description>• Build an on-device text summarizer using Apple Foundation Models and SwiftUI, with step-by-step guidance on availability checks and summarization. • Build an on-device text summa</description>
    </item>
    <item>
      <title>Kling video models on AI Gateway</title>
      <link>https://cluster-site.onrender.com/posts/kling-video-models-on-ai-gateway/</link>
      <pubDate>Tue, 24 Feb 2026 00:36:59 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/kling-video-models-on-ai-gateway/</guid>
      <description>• 3 min read Kling video models are now available in AI Gateway, including the newest Kling 3.0 models. • Generate cinematic videos from text, images, or motion references with Kli</description>
    </item>
    <item>
      <title>Wan models on AI Gateway</title>
      <link>https://cluster-site.onrender.com/posts/wan-models-on-ai-gateway/</link>
      <pubDate>Tue, 24 Feb 2026 00:36:58 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/wan-models-on-ai-gateway/</guid>
      <description>• 2 min read Generate stylized videos and transform existing footage with Alibaba&amp;rsquo;s Wan models, now available through AI Gateway. • Try them out now via AI SDK 6 or by selecting th</description>
    </item>
    <item>
      <title>Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning</title>
      <link>https://cluster-site.onrender.com/posts/overcoming-dimensional-factorization-limits-in-discrete-diffusion-models-through-quantum-joint-distribution-learning/</link>
      <pubDate>Tue, 24 Feb 2026 00:36:19 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/overcoming-dimensional-factorization-limits-in-discrete-diffusion-models-through-quantum-joint-distribution-learning/</guid>
      <description>• Abstract Discrete diffusion models typically rely on dimension-wise factorization to avoid computational intractability. • However, we rigorously prove this approach leads to wor</description>
    </item>
    <item>
      <title>A flaw in using pretrained protein language models in protein-protein interaction inference models</title>
      <link>https://cluster-site.onrender.com/posts/a-flaw-in-using-pretrained-protein-language-models-in-protein-protein-interaction-inference-models/</link>
      <pubDate>Tue, 24 Feb 2026 00:35:17 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-flaw-in-using-pretrained-protein-language-models-in-protein-protein-interaction-inference-models/</guid>
      <description>• Abstract With the growing pervasiveness of pretrained protein language models (pLMs), pLM-based methods are increasingly being put forward for the protein-protein interaction (PP</description>
    </item>
    <item>
      <title>Meta-designing quantum experiments with language models</title>
      <link>https://cluster-site.onrender.com/posts/meta-designing-quantum-experiments-with-language-models/</link>
      <pubDate>Tue, 24 Feb 2026 00:35:12 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/meta-designing-quantum-experiments-with-language-models/</guid>
      <description>• Abstract Artificial intelligence can solve complex scientific problems beyond human capabilities, but the resulting solutions offer little insight into the underlying physical pr</description>
    </item>
    <item>
      <title>Preconditioned inexact stochastic ADMM for deep models</title>
      <link>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</link>
      <pubDate>Tue, 24 Feb 2026 00:35:09 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</guid>
      <description>• Abstract Deep learning models are usually trained with stochastic gradient descent-based algorithms, but these optimizers face inherent limitations, such as slow convergence and</description>
    </item>
    <item>
      <title>Deploying Open Source Vision Language Models (VLM) on Jetson</title>
      <link>https://cluster-site.onrender.com/posts/deploying-open-source-vision-language-models-vlm-on-jetson/</link>
      <pubDate>Tue, 24 Feb 2026 00:00:21 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/deploying-open-source-vision-language-models-vlm-on-jetson/</guid>
      <description>• Deploying Open Source Vision Language Models (VLM) on Jetson Vision-Language Models (VLMs) mark a significant leap in AI by blending visual perception with semantic reasoning. •</description>
    </item>
    <item>
      <title>Google Pixel 10a vs. Pixel 10: I compared the two midrange models, and here&#39;s my choice</title>
      <link>https://cluster-site.onrender.com/posts/google-pixel-10a-vs.-pixel-10-i-compared-the-two-midrange-models-and-heres-my-choice/</link>
      <pubDate>Mon, 23 Feb 2026 16:27:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/google-pixel-10a-vs.-pixel-10-i-compared-the-two-midrange-models-and-heres-my-choice/</guid>
      <description>• &amp;lsquo;ZDNET Recommends&amp;rsquo;: What exactly does it mean? • ZDNET&amp;rsquo;s recommendations are based on many hours of testing, research, and comparison shopping. • We gather data from the best ava</description>
    </item>
    <item>
      <title>Duality Models: An Embarrassingly Simple One-step Generation Paradigm</title>
      <link>https://cluster-site.onrender.com/posts/duality-models-an-embarrassingly-simple-one-step-generation-paradigm/</link>
      <pubDate>Mon, 23 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/duality-models-an-embarrassingly-simple-one-step-generation-paradigm/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 4 Feb 2026] Title:Duality Models: An Embarrassingly Simple One-step Generation Paradigm View PDF HTML (experimental)Abstract:Con</description>
    </item>
    <item>
      <title>Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge</title>
      <link>https://cluster-site.onrender.com/posts/ontology-guided-neuro-symbolic-inference-grounding-language-models-with-mathematical-domain-knowledge/</link>
      <pubDate>Mon, 23 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/ontology-guided-neuro-symbolic-inference-grounding-language-models-with-mathematical-domain-knowledge/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 19 Feb 2026] Title:Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge</description>
    </item>
    <item>
      <title>Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruction</title>
      <link>https://cluster-site.onrender.com/posts/robust-pre-training-of-medical-vision-and-language-models-with-domain-invariant-multi-modal-masked-reconstruction/</link>
      <pubDate>Mon, 23 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/robust-pre-training-of-medical-vision-and-language-models-with-domain-invariant-multi-modal-masked-reconstruction/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 6 Feb 2026] Title:Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruct</description>
    </item>
    <item>
      <title>Toward universal steering and monitoring of AI models</title>
      <link>https://cluster-site.onrender.com/posts/toward-universal-steering-and-monitoring-of-ai-models/</link>
      <pubDate>Sun, 22 Feb 2026 00:39:30 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/toward-universal-steering-and-monitoring-of-ai-models/</guid>
      <description>• Science, Volume 391, Issue 6787, Page 787-792, February 2026.</description>
    </item>
    <item>
      <title>Apple Foundation Models [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/apple-foundation-models-subscriber/</link>
      <pubDate>Sun, 22 Feb 2026 00:38:20 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/apple-foundation-models-subscriber/</guid>
      <description>• This module will be an introduction to the new Foundation Models framework in Swift. • The module begins with an introduction to the Foundation Models Framework by creating a sim</description>
    </item>
    <item>
      <title>3rd-Party On-Device Models [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/3rd-party-on-device-models-subscriber/</link>
      <pubDate>Sun, 22 Feb 2026 00:38:15 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/3rd-party-on-device-models-subscriber/</guid>
      <description>• Incorporating third-party machine learning models requires knowledge about the source model as well as some Core ML conversion techniques. • This module will get you started with</description>
    </item>
    <item>
      <title>Custom Models with Create ML [SUBSCRIBER]</title>
      <link>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</link>
      <pubDate>Sun, 22 Feb 2026 00:38:13 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/custom-models-with-create-ml-subscriber/</guid>
      <description>• Create ML empowers you to customize pre-built machine learning models on Apple platforms by providing training datasets. • Explore various use cases and deploy a custom model int</description>
    </item>
    <item>
      <title>Using Apple Foundation Models to Summarize Text [FREE]</title>
      <link>https://cluster-site.onrender.com/posts/using-apple-foundation-models-to-summarize-text-free/</link>
      <pubDate>Sun, 22 Feb 2026 00:37:58 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/using-apple-foundation-models-to-summarize-text-free/</guid>
      <description>• Build an on-device text summarizer using Apple Foundation Models and SwiftUI, with step-by-step guidance on availability checks and summarization.</description>
    </item>
    <item>
      <title>Kling video models on AI Gateway</title>
      <link>https://cluster-site.onrender.com/posts/kling-video-models-on-ai-gateway/</link>
      <pubDate>Sun, 22 Feb 2026 00:37:17 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/kling-video-models-on-ai-gateway/</guid>
      <description>• 3 min read Kling video models are now available in AI Gateway, including the newest Kling 3.0 models. • Generate cinematic videos from text, images, or motion references with Kli</description>
    </item>
    <item>
      <title>Wan models on AI Gateway</title>
      <link>https://cluster-site.onrender.com/posts/wan-models-on-ai-gateway/</link>
      <pubDate>Sun, 22 Feb 2026 00:37:16 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/wan-models-on-ai-gateway/</guid>
      <description>• 2 min read Generate stylized videos and transform existing footage with Alibaba&amp;rsquo;s Wan models, now available through AI Gateway. • Try them out now via AI SDK 6 or by selecting th</description>
    </item>
    <item>
      <title>Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning</title>
      <link>https://cluster-site.onrender.com/posts/overcoming-dimensional-factorization-limits-in-discrete-diffusion-models-through-quantum-joint-distribution-learning/</link>
      <pubDate>Sun, 22 Feb 2026 00:36:39 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/overcoming-dimensional-factorization-limits-in-discrete-diffusion-models-through-quantum-joint-distribution-learning/</guid>
      <description>• Abstract Discrete diffusion models typically rely on dimension-wise factorization to avoid computational intractability. • However, we rigorously prove this approach leads to wor</description>
    </item>
    <item>
      <title>What matters in building vision-language-action models for generalist robots</title>
      <link>https://cluster-site.onrender.com/posts/what-matters-in-building-vision-language-action-models-for-generalist-robots/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:38 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/what-matters-in-building-vision-language-action-models-for-generalist-robots/</guid>
      <description>• Abstract To utilize foundation vision-language models (VLMs) for robotic tasks and motion planning, the community has proposed different methods for injecting action components i</description>
    </item>
    <item>
      <title>When large language models are reliable for judging empathic communication</title>
      <link>https://cluster-site.onrender.com/posts/when-large-language-models-are-reliable-for-judging-empathic-communication/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:35 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/when-large-language-models-are-reliable-for-judging-empathic-communication/</guid>
      <description>• Abstract Large language models (LLMs) excel at generating empathic responses in text-based conversations. • But, how reliably do they judge the nuances of empathic communication?</description>
    </item>
    <item>
      <title>A flaw in using pretrained protein language models in protein-protein interaction inference models</title>
      <link>https://cluster-site.onrender.com/posts/a-flaw-in-using-pretrained-protein-language-models-in-protein-protein-interaction-inference-models/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:29 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-flaw-in-using-pretrained-protein-language-models-in-protein-protein-interaction-inference-models/</guid>
      <description>• Abstract With the growing pervasiveness of pretrained protein language models (pLMs), pLM-based methods are increasingly being put forward for the protein-protein interaction (PP</description>
    </item>
    <item>
      <title>Meta-designing quantum experiments with language models</title>
      <link>https://cluster-site.onrender.com/posts/meta-designing-quantum-experiments-with-language-models/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:24 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/meta-designing-quantum-experiments-with-language-models/</guid>
      <description>• Abstract Artificial intelligence can solve complex scientific problems beyond human capabilities, but the resulting solutions offer little insight into the underlying physical pr</description>
    </item>
    <item>
      <title>Preconditioned inexact stochastic ADMM for deep models</title>
      <link>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:21 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</guid>
      <description>• Abstract Deep learning models are usually trained with stochastic gradient descent-based algorithms, but these optimizers face inherent limitations, such as slow convergence and</description>
    </item>
    <item>
      <title>3D Printing News Briefs, February 21, 2026: Vapor Smoothing, Brain Models, &amp; More</title>
      <link>https://cluster-site.onrender.com/posts/3d-printing-news-briefs-february-21-2026-vapor-smoothing-brain-models-more/</link>
      <pubDate>Sat, 21 Feb 2026 13:30:13 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/3d-printing-news-briefs-february-21-2026-vapor-smoothing-brain-models-more/</guid>
      <description>• 3D Printing News Briefs, February 21, 2026: Vapor Smoothing, Brain Models, &amp;amp; More Share this Article In this weekend&amp;rsquo;s 3D Printing News Briefs, we&amp;rsquo;re starting with material and p</description>
    </item>
    <item>
      <title>Attributing and situating knowledge cannot be left to language models</title>
      <link>https://cluster-site.onrender.com/posts/attributing-and-situating-knowledge-cannot-be-left-to-language-models/</link>
      <pubDate>Sat, 21 Feb 2026 00:35:30 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/attributing-and-situating-knowledge-cannot-be-left-to-language-models/</guid>
      <description>• Subjects Authorship Ethics Meticulous citation is a marker of well-researched, serious scholarship. • Citations do a lot more than attributing credit; they situate claims within</description>
    </item>
    <item>
      <title>New generation of climate models sheds first light on long-standing Pacific puzzle</title>
      <link>https://cluster-site.onrender.com/posts/new-generation-of-climate-models-sheds-first-light-on-long-standing-pacific-puzzle/</link>
      <pubDate>Fri, 20 Feb 2026 17:45:44 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/new-generation-of-climate-models-sheds-first-light-on-long-standing-pacific-puzzle/</guid>
      <description>• Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean accompanying global warming. • Existing climate models have fail</description>
    </item>
    <item>
      <title>Best Air Purifiers of 2026: Don&#39;t Suffer Bad Winter Air Quality With These Top Models</title>
      <link>https://cluster-site.onrender.com/posts/best-air-purifiers-of-2026-dont-suffer-bad-winter-air-quality-with-these-top-models/</link>
      <pubDate>Fri, 20 Feb 2026 16:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/best-air-purifiers-of-2026-dont-suffer-bad-winter-air-quality-with-these-top-models/</guid>
      <description>• Winter is a time of notoriously poor air quality. • Between closed windows, ultrasonic humidifiers that leave white dust everywhere, heating systems and fireplaces, it&amp;rsquo;s the seas</description>
    </item>
    <item>
      <title>Privacy-Aware Split Inference with Speculative Decoding for Large Language Models over Wide-Area Networks</title>
      <link>https://cluster-site.onrender.com/posts/privacy-aware-split-inference-with-speculative-decoding-for-large-language-models-over-wide-area-networks/</link>
      <pubDate>Fri, 20 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/privacy-aware-split-inference-with-speculative-decoding-for-large-language-models-over-wide-area-networks/</guid>
      <description>• Computer Science &amp;gt; Cryptography and Security [Submitted on 18 Feb 2026] Title:Privacy-Aware Split Inference with Speculative Decoding for Large Language Models over Wide-Area Net</description>
    </item>
    <item>
      <title>Small models, big impact: The future of scaling enterprise AI agents</title>
      <link>https://cluster-site.onrender.com/posts/small-models-big-impact-the-future-of-scaling-enterprise-ai-agents/</link>
      <pubDate>Fri, 20 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/small-models-big-impact-the-future-of-scaling-enterprise-ai-agents/</guid>
      <description>• Small models, big impact: The future of scaling enterprise AI agents Share In the AI industry, we&amp;rsquo;ve spent the last 3 years obsessed with scale. • We&amp;rsquo;ve chased parameter counts i</description>
    </item>
    <item>
      <title>Train AI models with Unsloth and Hugging Face Jobs for FREE</title>
      <link>https://cluster-site.onrender.com/posts/train-ai-models-with-unsloth-and-hugging-face-jobs-for-free/</link>
      <pubDate>Fri, 20 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/train-ai-models-with-unsloth-and-hugging-face-jobs-for-free/</guid>
      <description>• Train AI models with Unsloth and Hugging Face Jobs for FREE This blog post covers how to use Unsloth and Hugging Face Jobs for fast LLM fine-tuning (specifically LiquidAI/LFM2.5-</description>
    </item>
    <item>
      <title>NVIDIA adds Cosmos Policy to its world foundation models</title>
      <link>https://cluster-site.onrender.com/posts/nvidia-adds-cosmos-policy-to-its-world-foundation-models/</link>
      <pubDate>Thu, 19 Feb 2026 13:13:47 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/nvidia-adds-cosmos-policy-to-its-world-foundation-models/</guid>
      <description>• is continuously expanding its NVIDIA Cosmos world foundation models, or WFMs, to tackle problems in robotics, autonomous vehicle development, and industrial vision AI. • The comp</description>
    </item>
    <item>
      <title>Agent Skill Framework: Perspectives on the Potential of Small Language Models in Industrial Environments</title>
      <link>https://cluster-site.onrender.com/posts/agent-skill-framework-perspectives-on-the-potential-of-small-language-models-in-industrial-environments/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/agent-skill-framework-perspectives-on-the-potential-of-small-language-models-in-industrial-environments/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:Agent Skill Framework: Perspectives on the Potential of Small Language Models in Industrial Environmen</description>
    </item>
    <item>
      <title>Agent Skill Framework: Perspectives on the Potential of Small Language Models in Industrial Environments</title>
      <link>https://cluster-site.onrender.com/posts/agent-skill-framework-perspectives-on-the-potential-of-small-language-models-in-industrial-environments/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/agent-skill-framework-perspectives-on-the-potential-of-small-language-models-in-industrial-environments/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:Agent Skill Framework: Perspectives on the Potential of Small Language Models in Industrial Environmen</description>
    </item>
    <item>
      <title>GPSBench: Do Large Language Models Understand GPS Coordinates?</title>
      <link>https://cluster-site.onrender.com/posts/gpsbench-do-large-language-models-understand-gps-coordinates/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/gpsbench-do-large-language-models-understand-gps-coordinates/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:GPSBench: Do Large Language Models Understand GPS Coordinates? • View PDF HTML (experimental)Abstract:</description>
    </item>
    <item>
      <title>GPSBench: Do Large Language Models Understand GPS Coordinates?</title>
      <link>https://cluster-site.onrender.com/posts/gpsbench-do-large-language-models-understand-gps-coordinates/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/gpsbench-do-large-language-models-understand-gps-coordinates/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:GPSBench: Do Large Language Models Understand GPS Coordinates? • View PDF HTML (experimental)Abstract:</description>
    </item>
    <item>
      <title>Large Language Models for Assisting American College Applications</title>
      <link>https://cluster-site.onrender.com/posts/large-language-models-for-assisting-american-college-applications/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/large-language-models-for-assisting-american-college-applications/</guid>
      <description>• Computer Science &amp;gt; Computation and Language [Submitted on 23 Jan 2026] Title:Large Language Models for Assisting American College Applications View PDFAbstract:American college a</description>
    </item>
    <item>
      <title>Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach</title>
      <link>https://cluster-site.onrender.com/posts/leveraging-large-language-models-for-causal-discovery-a-constraint-based-argumentation-driven-approach/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/leveraging-large-language-models-for-causal-discovery-a-constraint-based-argumentation-driven-approach/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approa</description>
    </item>
    <item>
      <title>Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach</title>
      <link>https://cluster-site.onrender.com/posts/leveraging-large-language-models-for-causal-discovery-a-constraint-based-argumentation-driven-approach/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/leveraging-large-language-models-for-causal-discovery-a-constraint-based-argumentation-driven-approach/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 18 Feb 2026] Title:Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approa</description>
    </item>
    <item>
      <title>Memes-as-Replies: Can Models Select Humorous Manga Panel Responses?</title>
      <link>https://cluster-site.onrender.com/posts/memes-as-replies-can-models-select-humorous-manga-panel-responses/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/memes-as-replies-can-models-select-humorous-manga-panel-responses/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 21 Jan 2026] Title:Memes-as-Replies: Can Models Select Humorous Manga Panel Responses? • View PDF HTML (experimental)Abstract:Me</description>
    </item>
    <item>
      <title>A roadmap for evaluating moral competence in large language models</title>
      <link>https://cluster-site.onrender.com/posts/a-roadmap-for-evaluating-moral-competence-in-large-language-models/</link>
      <pubDate>Thu, 19 Feb 2026 01:58:18 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-roadmap-for-evaluating-moral-competence-in-large-language-models/</guid>
      <description>• Abstract The question of whether large language models (LLMs) can exhibit moral capabilities is of growing interest and urgency, as these systems are deployed in sensitive roles</description>
    </item>
    <item>
      <title>Attributing and situating knowledge cannot be left to language models</title>
      <link>https://cluster-site.onrender.com/posts/attributing-and-situating-knowledge-cannot-be-left-to-language-models/</link>
      <pubDate>Thu, 19 Feb 2026 01:48:35 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/attributing-and-situating-knowledge-cannot-be-left-to-language-models/</guid>
      <description>• Subjects Authorship Ethics Meticulous citation is a marker of well-researched, serious scholarship. • Citations do a lot more than attributing credit; they situate claims within</description>
    </item>
    <item>
      <title>What matters in building vision-language-action models for generalist robots</title>
      <link>https://cluster-site.onrender.com/posts/what-matters-in-building-vision-language-action-models-for-generalist-robots/</link>
      <pubDate>Thu, 19 Feb 2026 01:48:22 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/what-matters-in-building-vision-language-action-models-for-generalist-robots/</guid>
      <description>• Nature Machine Intelligence, Published online: 11 February 2026; doi:10.1038/s42256-025-01168-7 Vision-language-action models recently emerged as a tool for robotics. • Here Li a</description>
    </item>
    <item>
      <title>When large language models are reliable for judging empathic communication</title>
      <link>https://cluster-site.onrender.com/posts/when-large-language-models-are-reliable-for-judging-empathic-communication/</link>
      <pubDate>Thu, 19 Feb 2026 01:41:19 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/when-large-language-models-are-reliable-for-judging-empathic-communication/</guid>
      <description>• Nature Machine Intelligence, Published online: 11 February 2026; doi:10.1038/s42256-025-01169-6 Kumar et al. • show that large language models (LLMs) nearly match expert reliabil</description>
    </item>
    <item>
      <title>A flaw in using pretrained protein language models in protein-protein interaction inference models</title>
      <link>https://cluster-site.onrender.com/posts/a-flaw-in-using-pretrained-protein-language-models-in-protein-protein-interaction-inference-models/</link>
      <pubDate>Thu, 19 Feb 2026 01:12:12 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-flaw-in-using-pretrained-protein-language-models-in-protein-protein-interaction-inference-models/</guid>
      <description>• Nature Machine Intelligence, Published online: 13 February 2026; doi:10.1038/s42256-025-01176-7 The usage of pretrained protein language models (pLMs) is rapidly growing. • Howev</description>
    </item>
    <item>
      <title>How safe are gpt-oss-safeguard models?</title>
      <link>https://cluster-site.onrender.com/posts/how-safe-are-gpt-oss-safeguard-models/</link>
      <pubDate>Wed, 18 Feb 2026 23:03:58 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/how-safe-are-gpt-oss-safeguard-models/</guid>
      <description>• Cisco Blogs/Artificial Intelligence - AI/How safe are gpt-oss-safeguard models? • How safe are gpt-oss-safeguard models? • 5 min read Nicholas Conley Large language models (LLMs)</description>
    </item>
    <item>
      <title>Digital Surface and Terrain Models from Vantor&#39;s Precision3D Product Line Added to Satellite Data Explorer</title>
      <link>https://cluster-site.onrender.com/posts/digital-surface-and-terrain-models-from-vantors-precision3d-product-line-added-to-satellite-data-explorer/</link>
      <pubDate>Wed, 18 Feb 2026 21:05:58 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/digital-surface-and-terrain-models-from-vantors-precision3d-product-line-added-to-satellite-data-explorer/</guid>
      <description>• NASA&amp;rsquo;s Commercial Satellite Data Acquisition (CSDA) Program announces the addition of three digital elevation and digital terrain products from Vantor&amp;rsquo;s Precision3D Product Line</description>
    </item>
    <item>
      <title>Polestar aims to shake off EV doldrums with 4 new models in 3 years</title>
      <link>https://cluster-site.onrender.com/posts/polestar-aims-to-shake-off-ev-doldrums-with-4-new-models-in-3-years/</link>
      <pubDate>Wed, 18 Feb 2026 19:21:43 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/polestar-aims-to-shake-off-ev-doldrums-with-4-new-models-in-3-years/</guid>
      <description>• Transportation News Cars Polestar aims to shake off EV doldrums with 4 new models in 3 years The Chinese-owned Swedish automaker is aiming to cut costs by revamping two existing</description>
    </item>
    <item>
      <title>Polestar goes on the offensive with FOUR new models in THREE years</title>
      <link>https://cluster-site.onrender.com/posts/polestar-goes-on-the-offensive-with-four-new-models-in-three-years/</link>
      <pubDate>Wed, 18 Feb 2026 16:24:24 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/polestar-goes-on-the-offensive-with-four-new-models-in-three-years/</guid>
      <description>• Polestar Business Polestar goes on the offensive with FOUR new models in THREE years Polestar just announced the largest product offensive in the company&amp;rsquo;s history, with plans to</description>
    </item>
    <item>
      <title>Protecting Language Models Against Unauthorized Distillation through Trace Rewriting</title>
      <link>https://cluster-site.onrender.com/posts/protecting-language-models-against-unauthorized-distillation-through-trace-rewriting/</link>
      <pubDate>Wed, 18 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/protecting-language-models-against-unauthorized-distillation-through-trace-rewriting/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 16 Feb 2026] Title:Protecting Language Models Against Unauthorized Distillation through Trace Rewriting View PDF HTML (ex</description>
    </item>
    <item>
      <title>DPBench: Large Language Models Struggle with Simultaneous Coordination</title>
      <link>https://cluster-site.onrender.com/posts/dpbench-large-language-models-struggle-with-simultaneous-coordination/</link>
      <pubDate>Tue, 17 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/dpbench-large-language-models-struggle-with-simultaneous-coordination/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 2 Feb 2026] Title:DPBench: Large Language Models Struggle with Simultaneous Coordination View PDF HTML (experimental)Abst</description>
    </item>
    <item>
      <title>DPBench: Large Language Models Struggle with Simultaneous Coordination</title>
      <link>https://cluster-site.onrender.com/posts/dpbench-large-language-models-struggle-with-simultaneous-coordination/</link>
      <pubDate>Tue, 17 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/dpbench-large-language-models-struggle-with-simultaneous-coordination/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 2 Feb 2026] Title:DPBench: Large Language Models Struggle with Simultaneous Coordination View PDF HTML (experimental)Abst</description>
    </item>
    <item>
      <title>Models That Prove Their Own Correctness</title>
      <link>https://cluster-site.onrender.com/posts/models-that-prove-their-own-correctness/</link>
      <pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/models-that-prove-their-own-correctness/</guid>
      <description>• Models That Prove Their Own Correctness Models That Prove Their Own Correctness AuthorsNoga Amitâ , Shafi Goldwasserâ , Orr Paradiseâ , Guy N. • Rothblum View publication Copy</description>
    </item>
    <item>
      <title>Announcing Amazon SageMaker Inference for custom Amazon Nova models</title>
      <link>https://cluster-site.onrender.com/posts/announcing-amazon-sagemaker-inference-for-custom-amazon-nova-models/</link>
      <pubDate>Mon, 16 Feb 2026 21:25:23 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/announcing-amazon-sagemaker-inference-for-custom-amazon-nova-models/</guid>
      <description>• AWS News Blog Announcing Amazon SageMaker Inference for custom Amazon Nova models | Since we launched Amazon Nova customization in Amazon SageMaker AI at AWS NY Summit 2025, cust</description>
    </item>
    <item>
      <title>The Best Espresso Machines of 2026: We&#39;ve Tested More Than 20 Models</title>
      <link>https://cluster-site.onrender.com/posts/the-best-espresso-machines-of-2026-weve-tested-more-than-20-models/</link>
      <pubDate>Mon, 16 Feb 2026 11:20:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/the-best-espresso-machines-of-2026-weve-tested-more-than-20-models/</guid>
      <description>• If you&amp;rsquo;re a daily coffee drinker, having an espresso machine at home can help cut back on expensive cafe trips and make you feel like a professional barista right at home. • Our</description>
    </item>
    <item>
      <title>What CIOs Are Doing To Evolve Operating Models And Talent</title>
      <link>https://cluster-site.onrender.com/posts/what-cios-are-doing-to-evolve-operating-models-and-talent/</link>
      <pubDate>Mon, 16 Feb 2026 00:00:02 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/what-cios-are-doing-to-evolve-operating-models-and-talent/</guid>
      <description>• What CIOs are working on, Part 3 of 4 Inpreviouspostsin this series, I covered core modernization and data and AI foundations. • In this third part, I turn to the IT operating mo</description>
    </item>
    <item>
      <title>GPU-Serving Two-Tower Models for Lightweight Ads Engagement Prediction</title>
      <link>https://cluster-site.onrender.com/posts/gpu-serving-two-tower-models-for-lightweight-ads-engagement-prediction/</link>
      <pubDate>Fri, 13 Feb 2026 23:44:45 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/gpu-serving-two-tower-models-for-lightweight-ads-engagement-prediction/</guid>
      <description>• Yuanlu Bai | Machine Learning Engineer II, L1 Conversion and Shopping Modeling; Yao Cheng | Sr. • Machine Learning Engineer, L1 Conversion and Shopping Modeling; Xiao Yang | Sr.</description>
    </item>
    <item>
      <title>GPU-Serving Two-Tower Models for Lightweight Ads Engagement Prediction</title>
      <link>https://cluster-site.onrender.com/posts/gpu-serving-two-tower-models-for-lightweight-ads-engagement-prediction/</link>
      <pubDate>Fri, 13 Feb 2026 23:44:45 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/gpu-serving-two-tower-models-for-lightweight-ads-engagement-prediction/</guid>
      <description>• Yuanlu Bai | Machine Learning Engineer II, L1 Conversion and Shopping Modeling; Yao Cheng | Sr. • Machine Learning Engineer, L1 Conversion and Shopping Modeling; Xiao Yang | Sr.</description>
    </item>
    <item>
      <title>Closing the CKD Care Gap with Value-Based Care Models</title>
      <link>https://cluster-site.onrender.com/posts/closing-the-ckd-care-gap-with-value-based-care-models/</link>
      <pubDate>Fri, 13 Feb 2026 15:19:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/closing-the-ckd-care-gap-with-value-based-care-models/</guid>
      <description>• More thanone in sevenadults in the United States are estimated to have chronic kidney disease (CKD), a disease caused by diabetes, hypertension, or other health care conditions t</description>
    </item>
    <item>
      <title>Trace Length is a Simple Uncertainty Signal in Reasoning Models</title>
      <link>https://cluster-site.onrender.com/posts/trace-length-is-a-simple-uncertainty-signal-in-reasoning-models/</link>
      <pubDate>Thu, 12 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/trace-length-is-a-simple-uncertainty-signal-in-reasoning-models/</guid>
      <description>• Trace Length is a Simple Uncertainty Signal in Reasoning Models Trace Length is a Simple Uncertainty Signal in Reasoning Models AuthorsSiddhartha Devicâ , Charlotte Pealeâ ¡, Ar</description>
    </item>
    <item>
      <title>Low-Vision Programmers Can Now Design 3D Models Independently</title>
      <link>https://cluster-site.onrender.com/posts/low-vision-programmers-can-now-design-3d-models-independently/</link>
      <pubDate>Sat, 07 Feb 2026 14:00:01 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/low-vision-programmers-can-now-design-3d-models-independently/</guid>
      <description>• Most 3D design software requires visual dragging and rotating-posing a challenge for blind and low-vision users. • As a result, a range of hardware design, robotics, coding, and</description>
    </item>
    <item>
      <title>Rethinking imitation learning with Predictive Inverse Dynamics Models</title>
      <link>https://cluster-site.onrender.com/posts/rethinking-imitation-learning-with-predictive-inverse-dynamics-models/</link>
      <pubDate>Thu, 05 Feb 2026 17:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/rethinking-imitation-learning-with-predictive-inverse-dynamics-models/</guid>
      <description>• At a glance Imitation learning becomes easier when an AI agent understands why an action is taken. • Predictive Inverse Dynamics Models (PIDMs) predict plausible future states, c</description>
    </item>
    <item>
      <title>New Raspberry Pi 4 models splits RAM across dual chips</title>
      <link>https://cluster-site.onrender.com/posts/new-raspberry-pi-4-models-splits-ram-across-dual-chips/</link>
      <pubDate>Thu, 05 Feb 2026 16:48:25 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/new-raspberry-pi-4-models-splits-ram-across-dual-chips/</guid>
      <description>• A new version of the Raspberry Pi 4 Model B has been (quietly) introduced. • It now uses a dual-RAM configuration. • The Raspberry Pi 4 Model B (PCB 13a) adopts a dual-RAM config</description>
    </item>
    <item>
      <title>Paza: Introducing automatic speech recognition benchmarks and models for low resource languages</title>
      <link>https://cluster-site.onrender.com/posts/paza-introducing-automatic-speech-recognition-benchmarks-and-models-for-low-resource-languages/</link>
      <pubDate>Thu, 05 Feb 2026 05:07:55 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/paza-introducing-automatic-speech-recognition-benchmarks-and-models-for-low-resource-languages/</guid>
      <description>• At a glance - Microsoft Research releases PazaBench and Paza automatic speech recognition models, advancing speech technology for low resource languages. • - Human-centered pipel</description>
    </item>
    <item>
      <title>Conversing with Large Language Models using Dapr</title>
      <link>https://cluster-site.onrender.com/posts/conversing-with-large-language-models-using-dapr/</link>
      <pubDate>Wed, 04 Feb 2026 20:51:48 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/conversing-with-large-language-models-using-dapr/</guid>
      <description>• Imagine you are running a bunch of microservices, each living within its own boundary. • What are some of the challenges that come into mind when operating them? • - Retries: Ser</description>
    </item>
    <item>
      <title>Detecting backdoored language models at scale</title>
      <link>https://cluster-site.onrender.com/posts/detecting-backdoored-language-models-at-scale/</link>
      <pubDate>Wed, 04 Feb 2026 17:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/detecting-backdoored-language-models-at-scale/</guid>
      <description>• Today, we are releasing new research on detecting backdoors in open-weight language models. • Our research highlights several key properties of language model backdoors, laying t</description>
    </item>
    <item>
      <title>Training Design for Text-to-Image Models: Lessons from Ablations</title>
      <link>https://cluster-site.onrender.com/posts/training-design-for-text-to-image-models-lessons-from-ablations/</link>
      <pubDate>Tue, 03 Feb 2026 11:25:53 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/training-design-for-text-to-image-models-lessons-from-ablations/</guid>
      <description>• Training Design for Text-to-Image Models: Lessons from Ablations Welcome back! • This is the second part of our series on training efficient text-to-image models from scratch. •</description>
    </item>
    <item>
      <title>Foundational AI Models to Accelerate Biological Discovery</title>
      <link>https://cluster-site.onrender.com/posts/foundational-ai-models-to-accelerate-biological-discovery/</link>
      <pubDate>Mon, 02 Feb 2026 16:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/foundational-ai-models-to-accelerate-biological-discovery/</guid>
      <description>• Foundational AI Models to Accelerate Biological Discovery Article AI Researchers from four national laboratories and industry are collaborating to unleash the full potential of b</description>
    </item>
    <item>
      <title>Foundational AI Models to Accelerate Biological Discovery</title>
      <link>https://cluster-site.onrender.com/posts/foundational-ai-models-to-accelerate-biological-discovery/</link>
      <pubDate>Mon, 02 Feb 2026 16:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/foundational-ai-models-to-accelerate-biological-discovery/</guid>
      <description>• Foundational AI Models to Accelerate Biological Discovery Article AI Researchers from four national laboratories and industry are collaborating to unleash the full potential of b</description>
    </item>
    <item>
      <title>Scaling enterprise AI: lessons in governance and operating models from IBM</title>
      <link>https://cluster-site.onrender.com/posts/scaling-enterprise-ai-lessons-in-governance-and-operating-models-from-ibm/</link>
      <pubDate>Thu, 29 Jan 2026 17:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/scaling-enterprise-ai-lessons-in-governance-and-operating-models-from-ibm/</guid>
      <description>• Key takeaways - Successful AI implementation at the enterprise level requires balancing timely innovation and experimentation with governance, security, and trust. • - Successful</description>
    </item>
    <item>
      <title>Hear more about interactive world models in our latest podcast.</title>
      <link>https://cluster-site.onrender.com/posts/hear-more-about-interactive-world-models-in-our-latest-podcast./</link>
      <pubDate>Thu, 29 Jan 2026 15:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/hear-more-about-interactive-world-models-in-our-latest-podcast./</guid>
      <description>• The latest episode of the Google AI: Release Notes podcast focuses on Genie 3, a real-time, interactive world model. • Host Logan Kilpatrick chats with Diego Rivas, Shlomi Frucht</description>
    </item>
    <item>
      <title>Updating Classifier Evasion for Vision Language Models</title>
      <link>https://cluster-site.onrender.com/posts/updating-classifier-evasion-for-vision-language-models/</link>
      <pubDate>Wed, 28 Jan 2026 16:19:12 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/updating-classifier-evasion-for-vision-language-models/</guid>
      <description>• Advances in AI architectures have unlocked multimodal functionality, enabling transformer models to process multiple forms of data in the same context. • For instance, vision lan</description>
    </item>
    <item>
      <title>IonQ | Supercharging AI with Quantum Computing: Quantum-Enhanced Large Language Models</title>
      <link>https://cluster-site.onrender.com/posts/ionq-supercharging-ai-with-quantum-computing-quantum-enhanced-large-language-models/</link>
      <pubDate>Thu, 15 Jan 2026 23:19:20 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/ionq-supercharging-ai-with-quantum-computing-quantum-enhanced-large-language-models/</guid>
      <description>• Supercharging AI with Quantum Computing: Quantum-Enhanced Large Language Models Artificial Intelligence (AI) has revolutionized industries by enabling complex data analysis, natu</description>
    </item>
    <item>
      <title>Fine-tuning vision-language models on memory-constrained devices</title>
      <link>https://cluster-site.onrender.com/posts/fine-tuning-vision-language-models-on-memory-constrained-devices/</link>
      <pubDate>Thu, 08 Jan 2026 16:41:08 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/fine-tuning-vision-language-models-on-memory-constrained-devices/</guid>
      <description>• Fine-tuning vision-language models on memory-constrained devices A new hybrid optimization approach allows edge devices to fine-tune vision-language models using only forward pas</description>
    </item>
    <item>
      <title>Revealing the Hidden Economics of Open Models in the AI Era</title>
      <link>https://cluster-site.onrender.com/posts/revealing-the-hidden-economics-of-open-models-in-the-ai-era/</link>
      <pubDate>Wed, 19 Nov 2025 19:17:59 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/revealing-the-hidden-economics-of-open-models-in-the-ai-era/</guid>
      <description>• Revealing the Hidden Economics of Open Models in the AI Era Frank Nagle | 19 November 2025 Artificial intelligence is reshaping economic systems at a pace we have rarely seen in</description>
    </item>
    <item>
      <title>Enhancing Uber&#39;s Guidance Heatmap with Deep Probabilistic Models</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-ubers-guidance-heatmap-with-deep-probabilistic-models/</link>
      <pubDate>Tue, 18 Nov 2025 14:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-ubers-guidance-heatmap-with-deep-probabilistic-models/</guid>
      <description>• Enhancing Uber&amp;rsquo;s Guidance Heatmap with Deep Probabilistic Models 18 November 2025 / GlobalIntroduction At Uber, giving high quality guidance to drivers is crucial for smoothing t</description>
    </item>
    <item>
      <title>Amazon launches private AI bug bounty to strengthen Nova models</title>
      <link>https://cluster-site.onrender.com/posts/amazon-launches-private-ai-bug-bounty-to-strengthen-nova-models/</link>
      <pubDate>Tue, 11 Nov 2025 17:20:35 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/amazon-launches-private-ai-bug-bounty-to-strengthen-nova-models/</guid>
      <description>• Amazon launches private AI bug bounty to strengthen Nova models Partnering with professional security researchers and the academic community to build safer, more robust AI. • Cop</description>
    </item>
    <item>
      <title>With Mobius Labs&#39; Aana models, we&#39;re bringing deeper multimodal understanding to Dropbox Dash</title>
      <link>https://cluster-site.onrender.com/posts/with-mobius-labs-aana-models-were-bringing-deeper-multimodal-understanding-to-dropbox-dash/</link>
      <pubDate>Thu, 23 Oct 2025 13:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/with-mobius-labs-aana-models-were-bringing-deeper-multimodal-understanding-to-dropbox-dash/</guid>
      <description>• With Mobius Labs&amp;rsquo; Aana models, we&amp;rsquo;re bringing deeper multimodal understanding to Dropbox Dash Teams today create and share more types of content than ever before. • Their work mi</description>
    </item>
    <item>
      <title>With Mobius Labs&#39; Aana models, we&#39;re bringing deeper multimodal understanding to Dropbox Dash</title>
      <link>https://cluster-site.onrender.com/posts/with-mobius-labs-aana-models-were-bringing-deeper-multimodal-understanding-to-dropbox-dash/</link>
      <pubDate>Thu, 23 Oct 2025 13:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/with-mobius-labs-aana-models-were-bringing-deeper-multimodal-understanding-to-dropbox-dash/</guid>
      <description>• With Mobius Labs&amp;rsquo; Aana models, we&amp;rsquo;re bringing deeper multimodal understanding to Dropbox Dash Teams today create and share more types of content than ever before. • Their work mi</description>
    </item>
    <item>
      <title>Half-Quadratic Quantization of large machine learning models</title>
      <link>https://cluster-site.onrender.com/posts/half-quadratic-quantization-of-large-machine-learning-models/</link>
      <pubDate>Wed, 22 Oct 2025 12:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/half-quadratic-quantization-of-large-machine-learning-models/</guid>
      <description>• Editor&amp;rsquo;s note: We are republishing a blog post from the Mobius team, originally published in 2023, that introduced a now widely used quantization algorithm. • We plan to continue</description>
    </item>
    <item>
      <title>Half-Quadratic Quantization of large machine learning models</title>
      <link>https://cluster-site.onrender.com/posts/half-quadratic-quantization-of-large-machine-learning-models/</link>
      <pubDate>Wed, 22 Oct 2025 12:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/half-quadratic-quantization-of-large-machine-learning-models/</guid>
      <description>• Editor&amp;rsquo;s note: We are republishing a blog post from the Mobius team, originally published in 2023, that introduced a now widely used quantization algorithm. • We plan to continue</description>
    </item>
    <item>
      <title>CAISI Evaluation of DeepSeek AI Models Finds Shortcomings and Risks</title>
      <link>https://cluster-site.onrender.com/posts/caisi-evaluation-of-deepseek-ai-models-finds-shortcomings-and-risks/</link>
      <pubDate>Tue, 30 Sep 2025 12:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/caisi-evaluation-of-deepseek-ai-models-finds-shortcomings-and-risks/</guid>
      <description>• Official websites use .govA.govwebsite belongs to an official government organization in the United States. • Secure .gov websites use HTTPSAlock(LockA locked padlock) orhttps://</description>
    </item>
    <item>
      <title>Repurposing Protein Folding Models for Generation with Latent Diffusion</title>
      <link>https://cluster-site.onrender.com/posts/repurposing-protein-folding-models-for-generation-with-latent-diffusion/</link>
      <pubDate>Tue, 08 Apr 2025 10:30:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/repurposing-protein-folding-models-for-generation-with-latent-diffusion/</guid>
      <description>• PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. • The awarding</description>
    </item>
    <item>
      <title>Virtual Personas for Language Models via an Anthology of Backstories</title>
      <link>https://cluster-site.onrender.com/posts/virtual-personas-for-language-models-via-an-anthology-of-backstories/</link>
      <pubDate>Tue, 12 Nov 2024 09:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/virtual-personas-for-language-models-via-an-anthology-of-backstories/</guid>
      <description>• We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich</description>
    </item>
    <item>
      <title>Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination</title>
      <link>https://cluster-site.onrender.com/posts/linguistic-bias-in-chatgpt-language-models-reinforce-dialect-discrimination/</link>
      <pubDate>Fri, 20 Sep 2024 09:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/linguistic-bias-in-chatgpt-language-models-reinforce-dialect-discrimination/</guid>
      <description>• Sample language model responses to different varieties of English and native speaker reactions. • ChatGPT does amazingly well at communicating with people in English. • Only 15%o</description>
    </item>
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