Verified AI Launch Profile
MolmoMotion
Ai2 released MolmoMotion models, code, MolmoMotion-1M data, and PointMotionBench for language-guided 3D motion forecasting.
At a glance
Launch Snapshot
- Company
- Ai2
- Launch date
- June 17, 2026
- Launch type
- Model Release
- Category
- AI Models, AI Robotics, Open-Source AI
- Audience
- Unknown
- Pricing
- The model weights, code, dataset, and benchmark are openly published; review the licenses and source terms for each artifact.
- Free plan
- Unknown
- API
- Unknown
- Open weights/source
- Unknown
Launch Context
Use these links to move from this record into the broader Launch Intelligence database.
Verification & Sources
- Status
- Verified
- Source links
- 5
- Freshness
- Verified July 10, 2026
- Last verified
- July 10, 2026
- Last updated
- July 10, 2026
Suggest a correction
Kingy Launch Score
8.3 / 10 · Solid
One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works
Why this score
- Source & verification 8.5/10 — The announcement, project page, repository, Hugging Face collection, and model card — five dated first-party sources. allenai.org
- Product evidence 9.0/10 — Models, code, the MolmoMotion-1M dataset, and the PointMotionBench benchmark are all openly published and downloadable. github.com
- Significance & novelty 8.0/10 — Language-guided 3D motion forecasting released as a complete research stack with its own benchmark — a substantive open contribution. allenai.org
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 7.0/10 — Weights, code, data, and benchmark are openly published; the record notes per-artifact license review. huggingface.co
Evidence checked 2026-07-10
Kingy AI Take
Ai2 released MolmoMotion as a complete open stack — models, code, the MolmoMotion-1M dataset, and PointMotionBench for language-guided 3D motion forecasting (allenai.org). AI Researchers, Robotics Developers, and Vision-Language Teams can download and reproduce all of it. Predicted trajectories feeding physical systems demand independent validation and per-artifact license review, so treat this as research infrastructure rather than a deployable safety-critical component.
Who it is for
Researchers and developers working on motion forecasting, robotics planning, vision-language systems, and controllable video research.
Source-backed record