Update README.md

README.md

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 Welcome to the **nanochat students** organization\! This is a community organization for students following Andrej Karpathy's [nanochat course](https://github.com/karpathy/nanochat). We are learning to build a full-stack LLM implementation from tokenization to web serving, all for under $100.
 
-## Right Now!
-
-<div style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; border: 2px solid #333; border-radius: 8px; max-width: 600px; margin: 20px auto; padding: 0;">
-    <div style="background: #333; color: white; padding: 16px 20px; border-bottom: 2px solid #333;">
-        <h2 style="margin: 0; font-size: 20px; font-weight: 600;">Day 1 of Nano Chat</h2>
-    </div>
-    
-<div style="padding: 20px;">
-    <div style="background: white; border: 1px solid #ddd; border-radius: 4px; padding: 16px; margin-bottom: 12px;">
-        <div style="font-weight: 600; font-size: 16px; margin-bottom: 8px; color: #333;">1. Environment Setup</div>
-        <div style="color: #666; font-size: 14px; line-height: 1.5; margin-bottom: 8px;">
-            Support on your Python environment using uv, create a virtual environment, and install all necessary dependencies for the nanochat project.
-        </div>
-        <a href="https://huggingface.co/spaces/nanochat-students/README/discussions/6" style="color: #0066cc; text-decoration: none; font-size: 14px;" target="_blank">View setup instructions →</a>
-    </div>
-    
-<div style="background: white; border: 1px solid #ddd; border-radius: 4px; padding: 16px; margin-bottom: 12px;">
-    <div style="font-weight: 600; font-size: 16px; margin-bottom: 8px; color: #333;">2. Tokenizer Training</div>
-    <div style="color: #666; font-size: 14px; line-height: 1.5; margin-bottom: 8px;">
-        Train a custom BPE tokenizer using Rust bindings.
-    </div>
-    <a href="https://huggingface.co/spaces/nanochat-students/README/discussions/3" style="color: #0066cc; text-decoration: none; font-size: 14px;" target="_blank">View tokenizer guide →</a>
-</div>
-
-<div style="background: white; border: 1px solid #ddd; border-radius: 4px; padding: 16px; margin-bottom: 0;">
-    <div style="font-weight: 600; font-size: 16px; margin-bottom: 8px; color: #333;">3. Pre-training</div>
-    <div style="color: #666; font-size: 14px; line-height: 1.5; margin-bottom: 8px;">
-        Base training across 8 GPUs using torchrun, with metrics tracked in a shared trackio space below.
-    </div>
-    <a href="https://huggingface.co/spaces/nanochat-students/README/discussions/2" style="color: #0066cc; text-decoration: none; font-size: 14px;" target="_blank">View pre-training steps →</a>
-</div>
-</div>
-</div>
-
 ## What is nanochat?
 
 nanochat is a complete implementation of an LLM like ChatGPT in a minimal, hackable codebase. It's designed as the capstone project for the LLM101n course by Eureka Labs, teaching you to build and train your own ChatGPT clone end-to-end.
@@ -82,4 +48,31 @@ Let's make this a fun, supportive, and efficient community of learners.
 ## **Resources**
 
 - nanochat repo - [karpathy/nanochat](https://github.com/karpathy/nanochat)  
-- Introduction post: ["Introducing nanochat: The best ChatGPT that $100 can buy"](https://github.com/karpathy/nanochat/discussions/1)  
+- Introduction post: ["Introducing nanochat: The best ChatGPT that $100 can buy"](https://github.com/karpathy/nanochat/discussions/1)
+
+---
+
+## Journal!
+
+Check out these steps to join in or get help:
+
+### Day 1
+
+<div style="background: white; border: 1px solid #ddd; border-radius: 4px; padding: 16px; margin-bottom: 12px;">
+<div style="font-weight: 600; font-size: 16px; margin-bottom: 8px; color: #333;"><a href="https://huggingface.co/spaces/nanochat-students/README/discussions/6" style="color: #0066cc; text-decoration: none; font-size: 14px;" target="_blank">1. Environment Setup →</a></div>
+<div style="color: #666; font-size: 14px; line-height: 1.5; margin-bottom: 8px;">
+    Support on your Python environment using uv, create a virtual environment, and install all necessary dependencies for the nanochat project.
+</div>
+    
+<div style="font-weight: 600; font-size: 16px; margin-bottom: 8px; color: #333;"><a href="https://huggingface.co/spaces/nanochat-students/README/discussions/3" style="color: #0066cc; text-decoration: none; font-size: 14px;" target="_blank">2. Tokenizer Training→</a>
+</div>
+<div style="color: #666; font-size: 14px; line-height: 1.5; margin-bottom: 8px;">
+    Train a custom BPE tokenizer using Rust bindings.
+</div>
+
+<div style="font-weight: 600; font-size: 16px; margin-bottom: 8px; color: #333;"><a href="https://huggingface.co/spaces/nanochat-students/README/discussions/2" style="color: #0066cc; text-decoration: none; font-size: 14px;" target="_blank">3. Pre-training →</a></div>
+<div style="color: #666; font-size: 14px; line-height: 1.5; margin-bottom: 8px;">
+    Base training across 8 GPUs using torchrun, with metrics tracked in a shared trackio space below.
+</div>
+
+</div>