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        <title><![CDATA[Stories by AI Papers Academy on Medium]]></title>
        <description><![CDATA[Stories by AI Papers Academy on Medium]]></description>
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            <title>Stories by AI Papers Academy on Medium</title>
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            <title><![CDATA[LeCun’s LeWorldModel: Finally a Stable JEPA World Model?]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/lecuns-leworldmodel-finally-a-stable-jepa-world-model-9b377f1e0140?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/2600/1*w-r2vLkZi5zjYBH_JmwPzQ.png" width="2752"></a></p><p class="medium-feed-snippet">The JEPA World Model Behind AMI Labs?</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/lecuns-leworldmodel-finally-a-stable-jepa-world-model-9b377f1e0140?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
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            <category><![CDATA[computer-vision]]></category>
            <category><![CDATA[jepa]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[world-models]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Thu, 03 Sep 2026 19:58:17 GMT</pubDate>
            <atom:updated>2026-09-03T19:58:17.761Z</atom:updated>
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        <item>
            <title><![CDATA[170,927 AI Papers Reveal the Biggest Research Shifts of the First Half of 2026]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/170-927-ai-papers-reveal-the-biggest-research-shifts-of-the-first-half-of-2026-f26f3b792824?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/2600/1*VwJNnNCBb3iM0kdEcNHWvw.png" width="2816"></a></p><p class="medium-feed-snippet">We analyzed 170,927 AI research papers posted to arXiv since the beginning of 2025 up to June 26th across its four main machine-learning&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/170-927-ai-papers-reveal-the-biggest-research-shifts-of-the-first-half-of-2026-f26f3b792824?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/170-927-ai-papers-reveal-the-biggest-research-shifts-of-the-first-half-of-2026-f26f3b792824?source=rss-d132290acead------2</link>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[technology]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Wed, 01 Jul 2026 02:27:36 GMT</pubDate>
            <atom:updated>2026-07-01T02:27:36.748Z</atom:updated>
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            <title><![CDATA[Microsoft Found Gradient Descent for AI Agent Skills]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/microsoft-found-gradient-descent-for-ai-agent-skills-1b23fadc3551?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/2528/1*mdz0t824K0FmLdjTyWtO_A.png" width="2528"></a></p><p class="medium-feed-snippet">In this post, we break down SkillOpt: Executive Strategy for Self-Evolving Agent Skills, a new Microsoft research paper that introduces a&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/microsoft-found-gradient-descent-for-ai-agent-skills-1b23fadc3551?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/microsoft-found-gradient-descent-for-ai-agent-skills-1b23fadc3551?source=rss-d132290acead------2</link>
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            <category><![CDATA[agentic-ai-architecture]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[nlp]]></category>
            <category><![CDATA[ai-agent]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Tue, 16 Jun 2026 16:37:28 GMT</pubDate>
            <atom:updated>2026-06-16T16:37:28.842Z</atom:updated>
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            <title><![CDATA[The End of Standard Attention in LLMs?]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/the-end-of-standard-attention-in-llms-9d513f20493f?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/1672/1*qVI6ICYt10Fuank_URrWQA.png" width="1672"></a></p><p class="medium-feed-snippet">DeepSeek-V4 Paper Explained</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/the-end-of-standard-attention-in-llms-9d513f20493f?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[deepseek]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Sun, 24 May 2026 12:44:03 GMT</pubDate>
            <atom:updated>2026-05-24T12:44:03.829Z</atom:updated>
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            <title><![CDATA[Nested Learning: How Google Is Rethinking LLM Adaptation]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/nested-learning-how-google-is-rethinking-llm-adaptation-d5fc2223d965?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/2600/1*4IaR85KT8IgDXg1T1MKj3Q.png" width="2754"></a></p><p class="medium-feed-snippet">What if the biggest limitation of today&#x2019;s AI isn&#x2019;t intelligence, but memory? Today&#x2019;s models are trained once on massive datasets, and then&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/nested-learning-how-google-is-rethinking-llm-adaptation-d5fc2223d965?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/nested-learning-how-google-is-rethinking-llm-adaptation-d5fc2223d965?source=rss-d132290acead------2</link>
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            <category><![CDATA[nested-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[google-research]]></category>
            <category><![CDATA[ai-research]]></category>
            <category><![CDATA[large-language-models]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Mon, 27 Apr 2026 10:53:31 GMT</pubDate>
            <atom:updated>2026-04-27T10:53:31.145Z</atom:updated>
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            <title><![CDATA[NVIDIA Fixes GRPO for LLM Training]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/nvidia-fixes-grpo-for-llm-training-e551c2477495?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/1015/1*9kvHOK_eJv_sDCmHzbnF9g.png" width="1015"></a></p><p class="medium-feed-snippet">Understanding the GDPO Paper</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/nvidia-fixes-grpo-for-llm-training-e551c2477495?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/nvidia-fixes-grpo-for-llm-training-e551c2477495?source=rss-d132290acead------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[nvidia]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[reinforcement-learning]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Wed, 28 Jan 2026 11:23:16 GMT</pubDate>
            <atom:updated>2026-01-28T11:23:16.980Z</atom:updated>
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            <title><![CDATA[mHC by DeepSeek Explained]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/mhc-by-deepseek-explained-03322fe5af78?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/1432/1*KgDY3-Mg-uTxsoZFedmM8Q.png" width="1432"></a></p><p class="medium-feed-snippet">How DeepSeek Rewires LLMs for 2026</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/mhc-by-deepseek-explained-03322fe5af78?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/mhc-by-deepseek-explained-03322fe5af78?source=rss-d132290acead------2</link>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[llm]]></category>
            <category><![CDATA[deepseek]]></category>
            <category><![CDATA[nlp]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Sun, 04 Jan 2026 05:08:46 GMT</pubDate>
            <atom:updated>2026-01-04T05:08:46.598Z</atom:updated>
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            <title><![CDATA[Why Reinforcement Learning Unlocks Reasoning in LLMs]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/why-reinforcement-learning-unlocks-reasoning-in-llms-1abd49e48783?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/1536/1*oTv4nuEoszN1OsCtlo35xA.png" width="1536"></a></p><p class="medium-feed-snippet">Emergent Hierarchical Reasoning in LLMs Through Reinforcement Learning Explained</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/why-reinforcement-learning-unlocks-reasoning-in-llms-1abd49e48783?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/why-reinforcement-learning-unlocks-reasoning-in-llms-1abd49e48783?source=rss-d132290acead------2</link>
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            <category><![CDATA[ai-research]]></category>
            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[reinforcement-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[ai]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Mon, 29 Dec 2025 17:07:43 GMT</pubDate>
            <atom:updated>2025-12-29T17:07:43.592Z</atom:updated>
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            <title><![CDATA[Less Is More: How TRM Outperforms Larger Reasoning Models]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/less-is-more-how-trm-outperforms-larger-reasoning-models-5c064d4d8cd5?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/600/0*Gl6IsdunwlNo6JRJ" width="600"></a></p><p class="medium-feed-snippet">Tiny Recursive Model Paper Explained</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/less-is-more-how-trm-outperforms-larger-reasoning-models-5c064d4d8cd5?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/less-is-more-how-trm-outperforms-larger-reasoning-models-5c064d4d8cd5?source=rss-d132290acead------2</link>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[nlp]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Sat, 25 Oct 2025 15:27:57 GMT</pubDate>
            <atom:updated>2025-10-25T15:27:57.662Z</atom:updated>
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            <title><![CDATA[DINOv3 Paper Explained]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@aipapers/dinov3-paper-explained-8e5be52617bf?source=rss-d132290acead------2"><img src="https://cdn-images-1.medium.com/max/1024/0*Ses8ZCiXEbxbQKtg" width="1024"></a></p><p class="medium-feed-snippet">The Computer Vision Foundation Model</p><p class="medium-feed-link"><a href="https://medium.com/@aipapers/dinov3-paper-explained-8e5be52617bf?source=rss-d132290acead------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@aipapers/dinov3-paper-explained-8e5be52617bf?source=rss-d132290acead------2</link>
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            <category><![CDATA[foundation-models]]></category>
            <category><![CDATA[computer-vision]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[meta]]></category>
            <dc:creator><![CDATA[AI Papers Academy]]></dc:creator>
            <pubDate>Thu, 25 Sep 2025 11:44:34 GMT</pubDate>
            <atom:updated>2025-09-25T11:44:34.399Z</atom:updated>
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