dots3-note Preview Demonstrates Long-Horizon Agency Capabilities
rohanpaul_ai · x · 2026-08-24
Rohan Paul highlighted the open-weight model dots3-note preview, which focuses on long-horizon agency. Beyond acting for multiple steps, the agent evaluates progress, learns from unfamiliar situations, remembers important details, and revises plans. In a simulated Wedding Coordination scenario, it demonstrated the ability to track evolving requirements, coordinate services via tools, and adjust plans dynamically as new information arrives.
More from coding & agent
- NVIDIA Paper Proposes Skill Lift for Evaluating Agent Skills — dr_alphalyrae · 2026-08-24
- 2026 AI Trends: The Shift from Tools to Autonomous Agents — CurieuxExplorer · 2026-08-24
- Deterministic verifier passes 66/66, but model assertions only 12/24: benchmark by pipeline layer — MuhammadMujtaba21 · 2026-08-24
- Getting Claude to draw diagrams directly on a canvas via MCP: algoglyph — HappyTonight8640 · 2026-08-24
- Developer switches from Claude Code to Codex, citing poor testing practices — JFPuget · 2026-08-24
- Meta Paper: Training Agents to Decide When to Use Memory via RL — rohanpaul_ai · 2026-08-24