planning

This paper challenges the assumption that adding more scaffolding components to LLM agents always improves performance, demonstrating through systematic experiments that cross-component interference often leads to degradation. The study finds that simpler, task-specific subsets of components frequently outperform fully equipped 'all-in' agents across various model scales.

Cortex 2.0 introduces a plan-and-act control framework that uses visual latent space trajectory generation to enable reliable long-horizon robotic manipulation in complex industrial environments, outperforming reactive Vision-Language-Action models.

Toki 2.0 launches to automatically transform ideas into scheduled plans.

ASI:One is a personal AI product that features persistent memory and autonomous planning and action capabilities.