The Agent Architect · 2026-W33
The Agent Architect #33: Transparent Data Handling
Listen to the latest issue · 7 min
Pattern of the week
Transparent Data Handling
- What:
- Shows users real-time logs of where their data flows, how it's processed, where it's stored, and who accesses it.
- When to use it:
- Systems handling sensitive data where users need to verify compliance, audit trails, or make informed sharing decisions.
- Watch out:
- Overwhelming users with technical detail defeats the purpose; oversimplifying hides real risks and creates false transparency.
This week in agentic AI
- 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.
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