dots3-note: 280B MoE Model with TEMPO for Long-Horizon Agents
iamrobotbear · x · 2026-08-15
DotsStudioAI released dots3-note preview, a 280B MoE model with 16B active parameters and a 512K context window. It features TEMPO, a new RL approach for long-horizon agent training via self-critiquing and test-time scaling. The model is designed for reasoning, exploration, and memory updates, with open weights and new benchmarks (VibeSearchBench, VibeLifeBench) on Hugging Face.
Related event: Xiaohongshu Open Sources 280B Multimodal Model dots3-note(14 posts)→
More from coding & agent
- Codex Tip: Ask AI to Review Past Sessions and Recommend Sub-agent Personas — reach_vb · 2026-08-16
- AI made coding easier, not software engineering easy, dev argues — zishanverse · 2026-08-16
- Dev builds multiplayer AI game in 2 days with $50 agent loop budget — sharkymcstevenson2 · 2026-08-16
- opencode-acpx: drive Cursor, Claude, Codex and other ACP agents from OpenCode — intellectronica · 2026-08-16
- Best practices for setting up Genie Agent with Federated HMS in Databricks — sqlink2 · 2026-08-16
- Cross-Vendor Agent Teams: Isolating Reviewer Context Improves Code Review — rehanalliii · 2026-08-16