dots3-note Preview: 280B Open Multimodal Model for Long-Horizon Agents

dots3-note preview is an open-weight 280B-parameter (16B active) multimodal MoE model for long-horizon agents, introducing TEMPO, a reinforcement learning method using self-critique and time-scaled value estimation for long-horizon training.

2026-08-17 ~ 2026-08-17 · 3 related posts

• Preview dots3-note: 280B open-weight multimodal model with 512K context — Aiden_Tech_Ai · 2026-08-17
• dots3-note: 280B MoE agent learns memory via RL — Aiden_Tech_Ai · 2026-08-17
• dots3-note Preview: 280B Open-Source Multimodal Model for Agency — iamrobotbear · 2026-08-17