AI Launch Profile

MolmoMotion

Ai2 released MolmoMotion models, code, MolmoMotion-1M data, and PointMotionBench for language-guided 3D motion forecasting.

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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: Researchers and developers working on motion forecasting, robotics planning, vision-language systems, and controllable video research.
Pricing: The model weights, code, dataset, and benchmark are openly published; review the licenses and source terms for each artifact.
Free plan: Not publicly confirmed
API: Not publicly confirmed
Open weights/source: Not publicly confirmed

Launch Context

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Verification & Sources

Evidence state: Recheck due
Source links: 5
Freshness: Needs recheck: checked July 10, 2026
Last updated: July 10, 2026

What this evidence state means

Definition: The claim was previously checked, but its review window expired or a material change may have invalidated it.
Required provenance: The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
Owner: Kingy freshness queue owner and assigned editorial reviewer
Freshness rule: This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
Disputes and corrections: Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.

Key source checks

Official site Official docs Official project page Official model collection Official model card

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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 list

Sources

Official site allenai.org Source molmomotion.github.io Source github.com Source huggingface.co Source huggingface.co