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 A community driven collection of OpenEnv-spec Environments composed of a **Hub** and a **Standardized spec** to ensure environment compatibility. 
 
+<a href="https://berkeleyrdi.substack.com/p/agentic-ai-weekly-berkeley-rdi-january?utm_campaign=email-half-post&r=wg271&utm_source=substack&utm_medium=email" style="text-decoration: none; color: inherit; width: 100%; height: 120px; margin-bottom: 10px; margin-top: 10px;">
+<div style="padding: 15px; border-radius: 8px; background-image: linear-gradient(to bottom, #e6f7ff, #cce5ff); box-shadow: 1px 1px 3px rgba(0,0,0,0.1); border: 2px solid #3498db; height: 100%; display: flex; justify-content: space-between; align-items: center; transition: all 0.3s ease;" onmouseover="this.style.transform='scale(1.02)'; this.style.boxShadow='2px 2px 8px rgba(0,0,0,0.2)'; this.style.backgroundImage='linear-gradient(to bottom, #d6f0ff, #b8daff)';" onmouseout="this.style.transform='scale(1)'; this.style.boxShadow='1px 1px 3px rgba(0,0,0,0.1)'; this.style.backgroundImage='linear-gradient(to bottom, #e6f7ff, #cce5ff)';">
+    <span>Additionally, we’re thrilled to announce a new AgentBeats custom track: the </span><strong><a href="https://drive.google.com/file/d/1NASall4R84xAhoDdcaMwwJ78Ao3B-EK4/view?usp=sharing" rel="">OpenEnv Challenge: SOTA Environments to Drive General Intelligence</a></strong><span>, sponsored by the </span><a href="https://pytorch.org/" rel="">PyTorch</a><span> team at </span><a href="https://www.meta.com/" rel="">Meta</a><span>, </span><a href="https://huggingface.co/" rel="">Hugging Face</a><span>, and </span><a href="https://unsloth.ai/" rel="">Unsloth</a><span>. Participants will compete to develop innovative, open-source RL environments that push the frontiers of agent learning, with a prize pool of </span><strong>$10K in Hugging Face credits</strong><span>, and the chance to be published on the </span><a href="https://pytorch.org/blog/" rel="">PyTorch blog</a>
+  <img src="https://substackcdn.com/image/fetch/$s_!RD6N!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd42c5f2f-29aa-45f2-bc2c-7fdd2bf98333_1920x1080.png" alt="Production Icon" style="height: 100%; width: auto; margin-left: 10px;">
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 ## OpenEnv Spec
 
 An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs.