The original title is "How AI Actually Works" which is 4 words - too short and vague. I need to make it more specific based on the summary.

Short summary

AI predicts the next token billions of times using mathematical patterns learned from massive datasets. Modern LLMs work like phone autocomplete but on a vastly larger scale—converting words to vectors, tokenizing input, and using attention mechanisms to understand context. This process creates outputs that feel surprisingly human while operating on pure mathematics and probability, not consciousness.

• •AI generates text token-by-token by predicting statistically likely continuations from training data
• •Training involves data collection, tokenization, vector conversion, and trillions of parameter adjustments through feedback loops
• •AI doesn't think or understand—it recognizes and extrapolates patterns from learned mathematical probabilities

Generated with AI, which can make mistakes.