The magic is in the language
Summary
The post argues that the core of AI advancement is the language itself, describing how large language models encode and utilize intelligence through language, tokenization, pretraining, and fine-tuning to become usable agents. It emphasizes that language remains the substrate for both learning and action, and reflects on the social dynamics and potential of AI, including concerns about market-driven development versus public good.