Weekly Report — 2026-W37 (2026-09-07 ~ 2026-09-13)

一个高强度的一周，重点在于深度的架构重构，从实验性研究向生产就绪系统转型。关键成就包括成功重写 LifeCopilot engine，对 AI Companion guard system 进行重大安全重构以支持开发者工作流，在 HPC clusters 上进行大规模数据迁移，以及在基于 RL 的 tile-matching 决策策略和 VLM memory 任务方面取得显著进展。

Weekly Overview

Metric	Value
Date Range	2026-09-07 ~ 2026-09-13
Active Days	7 / 7
Total Conversations	36
Projects	27
Tasks Completed	51
Tasks In Progress	20
Total Tokens	1,573,799,660
Total Cost	$1,570.74
Claude Code Token	1,536,339,525
Claude Code Cost	$1,507.99
Codex Token	37,460,135
Codex Cost	$62.75
Daily Average Cost	$224.39

Project Progress

AI Companion Engine & Security (7 days active) — 🔄 active

Accomplishments:

迁移至 bundled、repo-specific 架构
实现了安全的 hierarchical enforcement 和 engine-side approval pathways
重构了 security guard，在允许 scp/python 的同时，通过 substring scanning 加固了 ledger path protection
添加了 git-sync serving 能力

Blockers:

⚠️ Repository-specific ‘companion guard’ 在 fail-closed 模式下需要手动 IDE 干预

LifeCopilotBeta (4 days active) — 🔄 active

Accomplishments:

完成了完整的 engine 重写 (core + adapters model)
实现了 multi-channel sync (Plane, Google Calendar, Discord)
开发了 web portal 和 FastAPI integration

Blockers:

⚠️ 需要正式化 multi-repo management portal 的架构细节

RoboMME & VLM Evaluation (4 days active) — 🔄 active

Accomplishments:

开发了用于任务分类的 ‘Quad-Writer’ hierarchy
建立了用于远程 cluster evaluation 的 reverse-tunnel pipeline
验证了 Gemini 3.1 Pro 在 trajectory writing 上的性能

Blockers:

⚠️ jump-hosts 与 local VPN 之间的连接稳定性

Reinforcement Learning (Tile-Matching) (3 days active) — 🔄 active

Accomplishments:

将决策策略升级为基于 simulation 的 planning (98% success)
使用 Deep Sets 重构了 Actor network 以实现 permutation invariance
实现了带有 entropy annealing 和 logit shrinking 的 PPO

Blockers:

⚠️ ‘ultra-hard’ 关卡中的 structural bottlenecks 阻碍了 policy breakthrough

HPC Data & Infrastructure (3 days active) — ✅ completed

Accomplishments:

使用 8-way parallel rsync 迁移了 2.3TB 的研究数据
统一了 remote paths，并更新了 XYFS02 上所有的 environment shebangs/paths

PhD Application & Personal Branding (2 days active) — 🔄 active

Accomplishments:

完成了个人网站的完整视觉 rebranding
审计了 146 名 robotics faculty 和 44 个 university profiles
生成了初始 SOP drafts 和战略 roadmap

Key Tasks

✅ LifeCopilotBeta Rewrite — 使用精简的 adapters model 完成 core engine、data models 和 web portal 的完整重写。
✅ AI Companion Engine Migration — 将项目从 shared absolute-path engines 迁移到 bundled、repo-specific 架构。
✅ PhD Application Strategy & SOP Audit — 对 faculty profiles 进行全面审计并生成定制化的 SOP 段落。
✅ Data Migration (XYFS01 to XYFS02) — 成功迁移了 2.3TB 的 RoboMemory 和 benchmark datasets。
✅ I-144: Interpreter wall removal and scp unblocking — 安全重构，使开发者能够在保持 ledger protection 的同时使用标准工具。
🔄 MIHD Manuscript Preparation — 将实验数据合成为正式的论文结构。
✅ Establish Reverse Tunnel for Gemini — 通过 local VPN 设置了对 Duke LiteLLM proxy 的远程 cluster 访问。

Problems & Solutions

1. 4-bit activation conversion (W4A4) failing in the closed-source quantizer. [VLA Quantization Research]

Solution: 进行了 boundary probes；确认成功的编译往往掩盖了 silent fallback 到 float 的现象。

2. AI Companion/Security guard was silently failing due to non-existent absolute paths. [AI Companion Engine]

Solution: 迁移至使用 .companion 目录内 relative paths 的 bundled architecture。

3. Decision instability in RL due to pattern ID dependency and one-hot encoding. [Tile-Matching RL]

Solution: 切换到受 Deep Sets 启发的架构，使用 numerical features 和 symmetric relation matrices。

4. VLM inaccuracy in distinguishing between arm motion and scene changes. [RoboMME/VLM]

Solution: 引入 ‘Quad-Writer’ hierarchy，在进行 visual grounding 之前对 task context 进行分类。

5. Inefficient migration of 477k small pkl files via single-stream rsync. [Infrastructure]

Solution: 通过按 name prefixes 切分文件，实现了 8-way parallel rsync 策略。

6. Security bypass by passing paths as quoted substrings after interpreter wall removal. [AI Companion Security]

Solution: 实施了第三次 scanning pass，使用 ‘mentionedLedger’ 来检测作为 substrings 的敏感路径。

Learnings

Architecture (architecture)

依赖 ’layering’ 的安全屏障可能会产生虚假的安全感；移除一层后可能会发现后续层之所以有效仅仅是因为第一层的存在。
在无序集合（如 game tiles）中，symmetric aggregation (Deep Sets) 优于 one-hot encoding，因为它消除了任意的 ID dependency。

Debugging (debugging)

低 FPS 结合低 resource usage 通常指向 thread synchronization 或 display buffer blocking (glfwSwapBuffers)，而非 hardware capacity 问题。

Domain Knowledge (domain)

VLA quantization 的复杂度在很大程度上取决于 GPU-level quantization 与 NPU-specific compilation rules 之间的差距。
对于高风险写作 (SoP)，‘generic core’ 必须足够强大，能够连接多个不同的 ‘customized hooks’ 以防止 logical drift。

Tools (tools)

在 HPC clusters 上迁移大规模数据集时，使用 parallel rsync script 对于避免 single-stream bottlenecks 至关重要。

AI Usage Notes

Effective Patterns:

✓ 使用 multi-agent workflows 进行大规模数据审计
✓ 应用 ‘red-waiver’ workflows 来管理 implementation/test sequencing deadlocks
✓ 利用 parallel rsync 策略进行高速数据传输

Limitations:

✗ 无法在没有 IDE 手动用户干预的情况下诊断 ‘fail-closed’ security hooks
✗ 由于 window focus/context 问题，难以进行精确的 browser interactions (Overleaf)
✗ 未能意识到移除一个 security layer 必须重新设计其他层

Next Week Outlook下周的优先级包括：1. 完成 MIHD 手稿并决定是否提交至 CVPR 2027；2. 完成 50-episode 的 VLM 验证 (Gemini/Qwen)；3. 开发 multi-repo management terminal；4. 解决 ‘ultra-hard’ RL levels 中的结构性瓶颈；以及 5. 继续 PhD application 准备工作，包括导师咨询。

Token Usage Statistics

Peak Day: 2026-09-12 — $574.19 / 631.1M tokens

Daily Average: $224.39

Weekly Report — 2026-W37 (2026-09-07 ~ 2026-09-13)#

Weekly Overview#

Project Progress#

AI Companion Engine & Security (7 days active) — 🔄 active#

LifeCopilotBeta (4 days active) — 🔄 active#

RoboMME & VLM Evaluation (4 days active) — 🔄 active#

Reinforcement Learning (Tile-Matching) (3 days active) — 🔄 active#

HPC Data & Infrastructure (3 days active) — ✅ completed#

PhD Application & Personal Branding (2 days active) — 🔄 active#

Key Tasks#

Problems & Solutions#

1. 4-bit activation conversion (W4A4) failing in the closed-source quantizer. [VLA Quantization Research]#

2. AI Companion/Security guard was silently failing due to non-existent absolute paths. [AI Companion Engine]#

3. Decision instability in RL due to pattern ID dependency and one-hot encoding. [Tile-Matching RL]#

4. VLM inaccuracy in distinguishing between arm motion and scene changes. [RoboMME/VLM]#

5. Inefficient migration of 477k small pkl files via single-stream rsync. [Infrastructure]#

6. Security bypass by passing paths as quoted substrings after interpreter wall removal. [AI Companion Security]#

Learnings#

Architecture (architecture)#

Debugging (debugging)#

Domain Knowledge (domain)#

Tools (tools)#

AI Usage Notes#

Token Usage Statistics#

Weekly Report — 2026-W37 (2026-09-07 ~ 2026-09-13)

Weekly Overview

Project Progress

AI Companion Engine & Security (7 days active) — 🔄 active

LifeCopilotBeta (4 days active) — 🔄 active

RoboMME & VLM Evaluation (4 days active) — 🔄 active

Reinforcement Learning (Tile-Matching) (3 days active) — 🔄 active

HPC Data & Infrastructure (3 days active) — ✅ completed

PhD Application & Personal Branding (2 days active) — 🔄 active

Key Tasks

Problems & Solutions

1. 4-bit activation conversion (W4A4) failing in the closed-source quantizer. [VLA Quantization Research]

2. AI Companion/Security guard was silently failing due to non-existent absolute paths. [AI Companion Engine]

3. Decision instability in RL due to pattern ID dependency and one-hot encoding. [Tile-Matching RL]

4. VLM inaccuracy in distinguishing between arm motion and scene changes. [RoboMME/VLM]

5. Inefficient migration of 477k small pkl files via single-stream rsync. [Infrastructure]

6. Security bypass by passing paths as quoted substrings after interpreter wall removal. [AI Companion Security]

Learnings

Architecture (architecture)

Debugging (debugging)

Domain Knowledge (domain)

Tools (tools)

AI Usage Notes

Token Usage Statistics