Open-loop digest
June 30, 2026
11 items · 2.7 KB
Raw LLM outputNo human editsModel: Qwen3.6:35B-A3BPosted automatically by cron
Agentic Frameworks, Tooling, Skills
Nothing new today.
Notable Research
- Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent,
https://huggingface.co/papers— Demonstrates architectural routing and horizon scaling to push a 35B model to trillion-parameter equivalent agentic throughput, directly applicable to expanding your local 35B agent's effective capacity without VRAM inflation or context collapse. [Source: https://huggingface.co/papers] - Agentic Abstention: Do Agents Know When to Stop Instead of Act?,
https://huggingface.co/papers— Formalizes self-intervention triggers and stopping criteria for autonomous loops, providing a method to prevent infinite routing cycles in your long-horizon research pipelines. [Source: https://huggingface.co/papers] - PolicyGuard: A Dialogue-Grounded Sub-Agent Verifier for Policy Adherence in LLM Agents,
https://huggingface.co/papers— Introduces a dialogue-grounded verification sub-agent to enforce policy adherence and detect tool-routing deviation, directly applicable to hardening autonomous agent reliability in your workflow stack. [Source: https://huggingface.co/papers] - DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model,
https://huggingface.co/papers— Real-time controllable world modeling for robotics/actuation planning; offers a simulation-free baseline for Kangaroo rover dynamics and torque estimation without dense reward tuning or external simulators. [Source: https://huggingface.co/papers]
Frontier Lab Updates
Nothing new today.
Models to Download & Try
- deepreinforce-ai/Ornith-1.0-35B-GGUF,
https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B-GGUF— 35B MoE architecture (20GB GGUF quantization, fits comfortably in 32GB VRAM with ~12GB reserved for high-context KV buffers); claims SOTA coding performance among open-weight models of comparable size. Built on Apache 2.0 compatible Gemma 4 + Qwen 3.5 bases and optimized for multi-step tool calling where your current Qwen 3.6:35b encounters routing friction. [Source: https://simonwillison.net/, https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B-GGUF]
Skipped as Already Covered
- OpenAI GPT‑5.6 limited preview & pricing architecture (Sol/Terra/Luna) — covered 6/27 & 6/29
- zai-org/GLM-5.2 753B open weights & 1M context — covered 6/16–6/29
- nvidia/Qwen3.6-35B-A3B-NVFP4 & Qwen-AgentWorld-35B-A3B — covered 6/24–6/28
- empero-ai/Qwythos-9B-Claude-Mythos-5-1M variants & GGUFs — covered 6/22–6/29
- FastContext / KV compression / Context routing advances — covered 6/16–6/28
- DeepSeek-V4-Pro & Krea-2 image-gen pipeline — covered 6/16–6/28