Update README.md

README.md

@@ -9,11 +9,42 @@ pinned: false
 
 <img src="https://huggingface.co/datasets/nanochat-students/images/resolve/main/students.png" alt="nanochat students banner" style="width: 100%; height: 500px; object-fit: cover; object-position: center;">
 
-
-# nanochat students
-
 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.