He Feng

Recursive self-improvement in Macaron-V1 leads to continual learning that adapts to real-world experiences, setting a new standard for open agent models.

Achieve nuanced control over portrait animations—even for subtle states like thinking or drowsiness—by using hierarchical agent planning to translate high-level labels into precise eye movements.