Description:How does AI decide what is "true"? This week, we dive into Natural Language Processing (NLP). We trace the evolution from RNNs to Transformers and discuss the massive threat Large Language Models (LLMs) pose to our information ecosystems and democracy.

Key Topics:

• The Disinformation Threat: How GPT-class models can generate coherent, grammatical, and completely fictional "news."

• RNNs vs. Transformers: Why "Attention is All You Need"—moving from linear memory to simultaneous context processing.

• Case Study: Fake News: Understanding how AI-generated text is built so we can better learn how to defend against it.

• Word Embeddings: How we turn the "messiness" of human language into numbers that machines can actually process.

Note: This is an AI-generated study resource created via NotebookLM based on Stanford CS21SI materials and personal study notes.