The Agent Architect · 2026-W34
The Agent Architect #34: Trust and Transparency Patterns
收听最新一期 · 7 min
本周模式
Trust and Transparency Patterns
- 是什么:
- 通过可展开的说明、可视化指示与决策拆解,向用户呈现 AI 的推理过程、数据来源与置信度,供其查验。
- 何时使用:
- 高风险决策、受监管领域,或用户在依据建议与生成内容行动前需要核验 AI 输出的场景。
- 注意:
- 解释过度会造成认知负担;如果内容太密集或默认始终展开,用户就会直接忽略这些细节。
本周智能体AI动态
- Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72NVIDIA Developer
Alibaba released open weights for Qwen3.8-2.4T-A95B with 2.4T parameters and 95B activated per token.
- Day 0 Support for Qwen3.8-2.4T-A95B on vLLMvLLM
vLLM adds day-0 support for Qwen3.8-2.4T-A95B hybrid MoE model with quantized weights on NVIDIA and AMD.
- DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training DataarXiv cs.AI
Mimir v1 is a 1-billion-parameter language model trained on permissible data using hierarchical reasoning architecture.
- Intern-S2-Preview: Scientific Agentic Foundation ModelarXiv cs.AI
Intern-S2-Preview is a scientific foundation model supporting multimodal reasoning, tool interaction, and long-horizon scientific tasks.
- LFM2.5-VL-3B: A Better and Faster Vision-Language Model for the EdgeLiquid AI
Liquid AI released LFM2.5-VL-3B, a 3 billion parameter vision-language model optimized for edge device deployment.
The Agent Architect
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