AI Company Unveils Robot Foundation Model Trained on 270,000 Hours of Real-World Manipulation Data

Generalist AI releases GEN-θ, breakthrough robot foundation models trained on 270,000 hours of real-world manipulation data, discovering a critical 7B parameter intelligence threshold where robots dramatically improve at complex tasks and need only thousands of training steps to master new skills.

• Generalist AI unveils GEN-θ, a family of embodied foundation models trained on 270,000 hours of real-world robot manipulation data using Harmonic Reasoning to think and act simultaneously under physical constraints
• Research reveals an intelligence threshold at 7B+ parameters where smaller models struggle with complex sensorimotor data while larger models show dramatic improvements and require only thousands of post-training steps for new tasks
• The system demonstrates clear scaling laws following power law relationships between pre-training data size and downstream performance, with infrastructure processing 6.85 years of manipulation experience per training day