Claude Code has become a major force in the large language model market and has elevated Anthropic’s profile as an enterprise-first company. Its reception has made Anthropic appear especially competitive, possibly even hotter than OpenAI at its peak hotness. OpenAI was caught by surprise, although Codex later provided similar value for OpenAI customers only a few months later.
The product’s impact follows a clear technical logic. Programs are written in text, and leading foundation models are trained in text, making programming a natural fit for language-based systems. In hindsight, it seems obvious that the first “killer application” of LLMs would be programming. Text has long been the perfect interface for computers, beginning with command-line interfaces, where users typed commands and computers responded without needing Artificial Intelligence. The challenge was that humans had to know the right command.
Claude Code represents the peak implementation of that history: trained on reams of programming, the LLM is able to write new programs with minimal human interaction. That capability can look and feel like Artificial General Intelligence, but the underlying argument is that it does not amount to true Artificial General Intelligence. Coding success may reflect the unusually strong alignment between text-trained models and software development rather than a broader breakthrough in general intelligence.
Other domains expose the limits of that approach. Video does not work as well when controlled through language prompts, robotics does not either, and training new models takes time in ways that do not support real time information particularly well. The world is organized differently from software, which creates a gap between text-native systems and intelligence that can operate across virtual and physical environments.
World models are presented as a more promising path toward true Artificial General Intelligence because they aim to model the physical world as well as the virtual one. Fei-Fei Li has made the case for world models and started World Labs. Yann LeCun started AMI Labs. Niantic Spatial spun out its games business to build its tech platform, while Runway repositioned itself as a world-model company rather than only a video platform.
