Update README.md

README.md

@@ -21,11 +21,18 @@ pinned: false
 
 ## Introduction to the OSAID
 
-As the field of AI advances, it's becoming increasingly important to understand what "Open Source" means in the context of artificial intelligence.
-While Open Source software has long had established standards, AI models and datasets bring new challenges around transparency, accessibility and collaboration.
-
-To address this, the Open Source Initiative (OSI) has been developing an **Open Source AI Definition** (OSAID) which will outline the criteria that AI components—such as models,
-datasets and code—must meet to be considered Open Source.
+<details>
+  <summary>Click to expand!</summary>
+    <p>
+    As the field of AI advances, it's becoming increasingly important to understand what "Open Source" means in the context of artificial intelligence.
+    While Open Source software has long had established standards, AI models and datasets bring new challenges around transparency, accessibility and collaboration.  
+    </p>
+    
+    <p>
+    To address this, the Open Source Initiative (OSI) has been developing an <strong>Open Source AI Definition</strong> (OSAID) which will outline the criteria that AI components—such as models,
+    datasets and code—must meet to be considered Open Source.  
+    </p>
+</details>
 
 ## Co-designing the Open Source AI Definition v1.0
 
@@ -37,7 +44,7 @@ datasets and code—must meet to be considered Open Source.
     standard.
   </p>
   <p>
-    The 1.0 version of the definition is set to be unveiled on October 28, 2024, at the [All Things Open](https://2024.allthingsopen.org/osi) conference.
+    The 1.0 version of the definition is set to be unveiled on October 28, 2024, at the <a href="https://2024.allthingsopen.org/osi">All Things Open</a> conference.
     The definition lays out the main requirements for what we hope will become a robust standard for OSAI across the ecosystem.
   </p>
 </details>
@@ -73,10 +80,17 @@ datasets and code—must meet to be considered Open Source.
 </details>
 
 ## What are the benefits of Open Source AI?
+
+
+<details>
+  <summary>Click to expand!</summary>
+  <p>
 Open Source AI offers significant benefits, including enhanced transparency and safety by enabling system audits, mitigating bias, and ensuring accountability 
 in data sources, which accelerates AI safety research. It also fosters competition and innovation by making more models available, challenging AI monoculture,
 and providing access to foundational technology for a wider range of stakeholders. Additionally, Open Source AI supports the development of diverse, localized 
-applications that reflect different cultural and linguistic contexts, allowing models to be aligned with various value systems.
+applications that reflect different cultural and linguistic contexts, allowing models to be aligned with various value systems.    
+  </p>
+</details>
 
 # How can the Hugging Face community participate?
 As the largest platform for the AI community, Hugging Face plays a key role in promoting the Open Source principles in the context of AI.