Index pretraining lifts Helix 2.5 zero-shot success from 8% to 56%, generating 50 min of data per second
coreylynch · x · 2026-09-18
Helix 2.5 is the first robot model trained with Index. The key ablation: same model, task data, and eval — zero-shot whole-body success jumps from 8% without Index pretraining to 56% with it, showing direct transfer of zero-shot whole-body behaviors. Index is now generating 50 minutes of training data per second, serving 100k+ weekly users, up from 90k earlier in the week.
More from Embodied
- NVIDIA Campus World Model Rebuilt from Just 32 Photos, Eyewitness Impressed — jonstephens85 · 2026-09-18
- Humanoid Scaling Evidence: Multi-Task Training Hits 80%, 12-20 Tasks by Next Year — Dr_Singularity · 2026-09-18
- Robot dog gets headbutted by a ram in viral (possibly AI) clip — whatishealth21 · 2026-09-18
- "Robotics' ChatGPT moment has passed" claim sparks debate on X — RikoSuminoe69 · 2026-09-18
- Citrini field trip to leading robotics labs: Physical AI has hit a tipping point — citrini · 2026-09-18
- "The Birth of the Robotics Scaling Law" post sparks Reddit discussion — AMBNNJ · 2026-09-18