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Shieldstral Encodes Moderation Policies in Queries; 3B Multimodal Model Achieves 84.9% Average F1 on Text Safety Benchmarks

Shieldstral unifies content moderation as a binary question-answering task whose criteria can be specified in natural language, allowing the same model to switch standards based on the product context. The paper reports average F1 scores of 84.9% for text and 83.8% for multimodal content, but the model weights and complete inference package have not yet been released.

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HANDBOOK.md Governs Agents With Hundred-Page Corporate Rulebooks; Best Strict Pass Rate Across 30 Model Configurations Is Just 36.2%

Surge AI has released 65 long-horizon agent tasks requiring models to follow changing policies spanning 20 to 124 pages while working across email, chat, calendars, and enterprise tools. The best configuration passed only 36.2% of tasks under strict scoring, which requires every rule to be satisfied simultaneously—showing that a large context window does not guarantee sustained compliance.

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PatientAgentBench Tests Medical Agents Across 1,200 Tool-Use Dialogues, Yet the Best Model’s Triage Pass Rate Is Still Only 88%

Amazon Science has released PatientAgentBench, which tasks medical agents with completing multi-turn primary care workflows using synthetic medical records and stateful tools. The largest performance gap among the ten models appears in triage decisions, showing that answering medical questions correctly is not enough to prove that an agent can execute workflows safely.

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NInfer Hard-Codes Inference Paths for Two Qwen3.6 Models, Reaching 543 Tokens per Second in Long-Context Decoding on a Single RTX 5090

The open-source NInfer uses custom quantization, weight layouts, fused kernels, and an MTP draft path to sustain long-context decoding at about 543 tokens per second for Qwen3.6-35B-A3B on a single RTX 5090. Its speed comes from deep specialization for the model and GPU, but it currently supports only two checkpoints, lacks continuous batching, and has yet to be independently benchmarked under identical conditions.