Tag
Discusses the progression of AI from simple tasks like email writing to more complex roles like aiding in raising $100 million in funding.
This paper proposes a theoretical framework for embedding higher-order cognitive architectures natively into LLMs via structural tension, offline recurrent loops, and inference-time plasticity, aiming for heterogeneous AI evolution under hard governance constraints.
The author developed an open-source tool called '饕餮.skill' that can automatically analyze differences between two AI Skills, extract advantageous patterns from a reference Skill, and reimplement them using the target Skill's technology stack, enabling continuous Skill evolution. The article discusses issues and design philosophy of the Skill ecosystem.
Anthropic's official account shared details on how to level up and evolve AI using experience points, highlighting a new capability in Claude Code that sets it apart from previous AIs.