Skip to content

Technical Directions

World models Latest coverage

Robotics coverage relating to world models.

123 selected reportsLast 30 days 113 recordsAll coverage 564 records

updated

Signal archive — Page 7

2026-03-03Tue121–123 records
  1. Dexterity — Blog85

    Introducing Foresight

    Dexterity introduces Foresight, a world model that enables robots to reason about the physical world, predict outcomes, and act confidently in real environments. Trained on over 100 million autonomous actions in production, Foresight is designed for interpretability, safety, and performance, with capabilities like predictive branching and pragmatic decision-making. It addresses complex tasks like spatial packing and includes a game and API challenge for further exploration.

2025-11-13Thu
  1. Dexterity — Blog88

    Transactable World Models

    Dexterity introduces 'Transactable World Models' as a foundational component for Physical AI, emphasizing interpretability, physics integration, and real-time consistency. The approach treats world models as operators rather than data stores, enabling multi-agent coordination and robust manipulation in complex environments. This contrasts with traditional world models that focus on data compression and replay, lacking causal reasoning and physical grounding.

2025-10-24Fri
Timezone · UTC

Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).