adaptation

The author points out that when writing AI agent skills, one must consider compatibility across different platforms (such as Claude Code and Codex), similar to how frontend development needed to adapt for different browsers in the past.

The paper introduces CERSA, a novel parameter-efficient fine-tuning method that uses singular value decomposition to retain principal components, significantly reducing memory usage while outperforming existing methods like LoRA.

Kaizen is a training platform that dynamically adapts running workouts based on user performance and activity data.

OpenAI researchers develop meta-learning agents that continuously adapt their policies during multi-round competitive games, demonstrating superior performance compared to fixed-policy agents and robustness to environmental and bodily changes.