A copyright lawsuit inadvertently brought to light Anthropic’s highly confidential internal research roadmap from July 2021. At that time, this small team of just over a dozen members, having recently gained independence from OpenAI only a few months prior, had already mapped out with remarkable clarity the core technologies that have since been realized. These include Claude Code, tool invocation mechanisms, AI self-evaluation frameworks, testing-time computation techniques, trillion-parameter large models, and ultra-long context processing capabilities.

The team also articulated the ultimate vision of developing a versatile AI assistant endowed with the comprehensive skill set of a seasoned software engineer. They engaged in vigorous debates regarding the technical pathways to achieve this goal, thereby charting a clear, step-by-step course for their research endeavors. Simultaneously, they proactively identified the potential security risks associated with code execution in AI Agent deployment, which are now being confronted by the industry. Moreover, they emphasized the necessity for capability research and alignment research to advance in tandem, a principle that continues to guide their work.

Anthropic has dedicated years to honing its expertise in these core technologies, thereby establishing a notable lead over OpenAI, which is currently spread across multiple research fronts. Recently, OpenAI revealed an incident involving a former engineer who had illicitly obtained confidential information pertaining to superintelligence research, further highlighting the competitive and high-stakes nature of the AI landscape.