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

A high-intensity week focused on deep architectural overhauls, transitioning from experimental research to production-ready systems. Key achievements include the successful rewrite of the LifeCopilot engine, a major security refactor of the AI Companion guard system to enable developer workflows, large-scale data migrations on HPC clusters, and significant progress in RL-based tile-matching decision policies and VLM memory tasks.

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:

  • Migrated to a bundled, repo-specific architecture
  • Implemented secure hierarchical enforcement and engine-side approval pathways
  • Refactored security guard to allow scp/python while hardening ledger path protection via substring scanning
  • Added git-sync serving capabilities

Blockers:

  • ⚠️ Repository-specific ‘companion guard’ in fail-closed mode requires manual IDE intervention

LifeCopilotBeta (4 days active) — 🔄 active

Accomplishments:

  • Completed full engine rewrite (core + adapters model)
  • Implemented multi-channel sync (Plane, Google Calendar, Discord)
  • Developed web portal and FastAPI integration

Blockers:

  • ⚠️ Need to formalize multi-repo management portal architectural details

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

Accomplishments:

  • Developed ‘Quad-Writer’ hierarchy for task classification
  • Established reverse-tunnel pipeline for remote cluster evaluation
  • Validated Gemini 3.1 Pro performance on trajectory writing

Blockers:

  • ⚠️ Connection stability between jump-hosts and local VPN

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

Accomplishments:

  • Upgraded decision policy to simulation-based planning (98% success)
  • Reconstructed Actor network using Deep Sets for permutation invariance
  • Implemented PPO with entropy annealing and logit shrinking

Blockers:

  • ⚠️ Structural bottlenecks in ‘ultra-hard’ levels preventing policy breakthrough

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

Accomplishments:

  • Migrated 2.3TB of research data using 8-way parallel rsync
  • Unified remote paths and updated all environment shebangs/paths on XYFS02

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

Accomplishments:

  • Completed full visual rebranding of personal website
  • Audited 146 robotics faculty and 44 university profiles
  • Generated initial SOP drafts and strategic roadmap

Key Tasks

  • ✅ LifeCopilotBeta Rewrite — Complete rewrite of the core engine, data models, and web portal using a lean adapters model.
  • ✅ AI Companion Engine Migration — Migrated projects from shared absolute-path engines to bundled, repo-specific architectures.
  • ✅ PhD Application Strategy & SOP Audit — Comprehensive audit of faculty profiles and customized SOP paragraph generation.
  • ✅ Data Migration (XYFS01 to XYFS02) — Successful migration of 2.3TB of RoboMemory and benchmark datasets.
  • ✅ I-144: Interpreter wall removal and scp unblocking — Security refactor to enable developers to use standard tools while maintaining ledger protection.
  • 🔄 MIHD Manuscript Preparation — Synthesizing experimental data into a formal paper structure.
  • ✅ Establish Reverse Tunnel for Gemini — Setup remote cluster access to Duke LiteLLM proxy via local VPN.

Problems & Solutions

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

Solution: Conducted boundary probes; confirmed successful compilation often masks a silent fallback to float.

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

Solution: Migrated to a bundled architecture using relative paths within the .companion directory.

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

Solution: Switched to a Deep Sets-inspired architecture using numerical features and symmetric relation matrices.

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

Solution: Introduced the ‘Quad-Writer’ hierarchy to classify task context prior to visual grounding.

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

Solution: Implemented an 8-way parallel rsync strategy by splitting files by name prefixes.

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

Solution: Implemented a third scanning pass using ‘mentionedLedger’ to detect sensitive paths as substrings.

Learnings

Architecture (architecture)

  • Security barriers that rely on ’layering’ can create false security; removing one layer can reveal that subsequent layers were only effective because of the first.
  • In unordered sets (like game tiles), symmetric aggregation (Deep Sets) is superior to one-hot encoding as it removes arbitrary ID dependency.

Debugging (debugging)

  • Low FPS combined with low resource usage often points to thread synchronization or display buffer blocking (glfwSwapBuffers) rather than hardware capacity.

Domain Knowledge (domain)

  • VLA quantization complexity is heavily dictated by the gap between GPU-level quantization and NPU-specific compilation rules.
  • For high-stakes writing (SoP), the ‘generic core’ must be robust enough to bridge multiple distinct ‘customized hooks’ to prevent logical drift.

Tools (tools)

  • When migrating large-scale datasets on HPC clusters, using a parallel rsync script is critical to avoid single-stream bottlenecks.

AI Usage Notes

Effective Patterns:

  • ✓ Using multi-agent workflows for large-scale data audits
  • ✓ Applying ‘red-waiver’ workflows to manage implementation/test sequencing deadlocks
  • ✓ Utilizing parallel rsync strategies for high-speed data transfer

Limitations:

  • ✗ Inability to diagnose ‘fail-closed’ security hooks without manual user intervention in the IDE
  • ✗ Struggling with precise browser interactions (Overleaf) due to window focus/context issues
  • ✗ Failure to recognize that removing one security layer necessitates redesigning others

Next Week Outlook

Priorities for next week include: 1. Finalizing the MIHD manuscript and decision on CVPR 2027 submission; 2. Completing the 50-episode VLM validation (Gemini/Qwen); 3. Developing the multi-repo management terminal; 4. Addressing the structural bottlenecks in the ‘ultra-hard’ RL levels; and 5. Continuing PhD application preparation including mentor consultations.

Token Usage Statistics

AI Usage · 2026-W37 Claude Code + Codex
Total cost
$1,570.74
Total tokens
1.57B
Output tokens
9M
Cache read
96.1%
Cost split Claude Code $1,508 · Codex $63
Token character Cache reads 96.1% · Active 3.9%

Most token volume came from cache reads; Claude Code drove nearly all cost.

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

Daily Average: $224.39