The Agent Architect · 2026-W33
The Agent Architect #33: Transparent Data Handling
收听最新一期 · 7 min
本周模式
Transparent Data Handling
- 是什么:
- 以实时日志向用户展示其数据流向何处、如何被处理、存储在哪里，以及谁访问过它。
- 何时使用:
- 处理敏感数据的系统，用户需要核实合规性、查看审计轨迹，或在知情的基础上决定是否共享。
- 注意:
- 用技术细节淹没用户会背离初衷；过度简化则会掩盖真实风险，制造虚假的透明。
本周智能体AI动态
- vLLM Reaches 25K Total TPS/GPU on Qwen3.5vLLM
vLLM achieved 25K tokens per second per GPU on Qwen3.5-397B using GB200 NVL72 disaggregated serving.
- Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robotsHacker News
Needle2 is a 14MB agentic language model designed for phones, wearables, smart home devices, and robots.
- Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRAarXiv cs.AI
Macaron-V1 agent model learns from experience in real environments and improves after deployment using mixture-of-LoRA.
- Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs ResearchHacker News
EdotEnv is a Y Combinator startup providing reinforcement learning environments for quantitative trading to train large language models.
- Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-DistillationarXiv cs.AI
SKALD framework uses abstract skills as privileged signals for on-policy self-distillation in reinforcement learning.
The Agent Architect
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