DigiNews

Summary

The article posits that the core magic of AI lies in language, and that applied language underpins large language models and agent behavior. It outlines the training pipeline—from ingesting vast amounts of language to tokenization, pretraining, fine-tuning, and reinforcement learning—explaining how language becomes the substrate for intelligent action and tool use, while critiquing the capital-driven rush to scale.