By skyforbes 
What if I told you that you could build your own ChatGPT from scratch — tokenization, training, fine-tuning, and a web interface — for the price of a nice dinner?
I’ve been reading & writing about AI for months, and I’ve never been more excited about a project than this. Andrej Karpathy, the legendary AI researcher who taught neural networks at Stanford and led AI at Tesla, just dropped something that changes everything: nanochat.
The Problem With AI Today
Let’s be honest. The AI world has become inaccessible.
Training language models costs millions. OpenAI’s GPT-4 training reportedly cost over $100 million. Meta’s Llama models? Tens of millions. Even trying to understand how these systems work requires wading through codebases so complex they could double as modern art installations.
For students, researchers, and indie developers, this creates an impossible barrier. You’re told to “just use the API” or “fine-tune an existing model.” But you never truly understand how the magic happens.
Until now.