Multimodal Embodied Reasoning Models
Unified models that reason over images, video and physical-world state—and emit action tokens—extend deliberate reasoning from text into perception and control.
Developed mainly in: United States and SingaporeImpacting: North America, Europe, China and Rest of Asia
MIT researchers including Kaiming He and Cathy Wu released VISTA, a scaffolding layer that lets a multimodal model perceive interactive environments directly as images and retrieve unaltered past frames from a lossless visual memory. Paired with Claude Opus 5.0, it raised relative human action efficiency on ARC-AGI-3 from 40.68 to 100, clearing all 25 public games with 57.4% fewer actions than fir…
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First flagged
25 March 2026 · score 7.0/10
Corroborating sources since flagging
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Latest signals
Tracked from 5 signals, each traced to its source.
- Reasoning traces auto-generated from demonstrations lift zero-shot robot policy performance
Arxiv · 11 Oct 2026
- Reka previews single 19B network spanning text, image, video and robot control
Marktechpost · 6 Oct 2026
- MIT visual memory harness lifts multimodal agent to perfect ARC-AGI-3 efficiency score
Arxiv · 6 Oct 2026
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