Weekly Report — 2026-W26 (2026-06-22 ~ 2026-06-28)

This week, key infrastructure stabilization and research validation were achieved in the fields of AI tools, spatial transcriptomics, and robot simulation. The AI Companion dual-agent ecosystem resolved cross-platform hook equality and concurrency issues, making skill deployment smoother. A robot evaluation process was successfully established on Tianhe-2, confirming the limitations of zero-sample VLM, while verifying the need for a world model for time context. Spatial omics analysis resolved the “FM paradox” and negated the feasibility of JEPA, prompting a shift toward candidate selection strategies. Infrastructure improvements include automated server launch scripts, encrypted Live DAG visualization, and strict audit verification to eliminate AI hallucination drift.

Weekly Overview

Metric	Value
Date range	2026-06-22 ~ 2026-06-28
Active days	5 / 7
Total conversations	18
Number of projects	18
Tasks completed	39
Ongoing tasks	6
Total tokens	651,067,850
Total cost	$818.29
Claude code tokens	607,777,964
Claude code cost	$780.74
Codex tokens	43,289,886
Codex cost	$37.55
Daily average cost	$136.38

Project Progress

AI Companion & DevCompanion Infrastructure (7 days active) — 🔄 Active

Achievements:

• Resolved the key PostToolUse hook pattern mismatch between Claude Code and Codex via a TypeScript adapter.
• Implemented a singleton lock for the daemon process, resolving background CPU jitter issues.
• Unified AI skills deployment across both programming aids.
• Integrated plugins into the gadget single repository, ensuring cross-platform compatibility.

Hurdles:

• ⚠️ Initial automatic symbolic links failed due to bash format errors.
• ⚠️ Git subtree merges require careful conflict resolution to preserve history.

Robot Simulation & Cosmos3-Nano Evaluation (7 days active) — 🔄 Active

Achievements:

• Deployed vLLM and Cosmos3-Nano plugins on the Tianhe-2 A800 cluster; enabled GPU OpenGL rendering on compute-only nodes.
• Conducted direct comparison tests, confirming that generic VLMs lack zero-sample robot migration capabilities.
• Optimized visual instruction generation through coordinate normalization to [0,1000], resolution scaling, and deterministic temperature control.
• Used ablation studies to verify the necessity of time context for mobile camera scenarios.

Hurdles:

• ⚠️ Damaged model fragments require manual Safetensors verification and cross-device synchronization to fix.
• ⚠️ Local proxy bottlenecks caused 35GB data download delays.

Gadget Single Repository & Live DAG Process (5 days active) — 🔄 Active

Achievements:

• Built an end-to-end Cross-Project Live DAG functionality: registry, aggregator, renderer, and encrypted deployment process.
• Implemented intra-image filtering UI with panning scaling and flexible scheduling visualization (mapped from Phase 9 to Phase 1).
• Reconstructed git history via squash rebasing; verified PR merge integrity between branches.
• Resolved Windows translator startup crashes by bypassing external proxies and using native zipfile parsing.

Hurdles:

• ⚠️ Initial deployment strategy conflicts with private repository/public page scopes; resolved via client-side StatiCrypt integration.
• ⚠️ DAG YAML initially lacked “in progress” metadata; fallback state must be derived from the dependency graph.

Spatial Transcriptomics (MIHD) & QueST Alignment (4 days active) — ✅ Completed

Achievements:

• Aggregated ARI metrics confirmed the “FM paradox”: base models perform well in cross-sample retrieval but inferior to PCA in single-slide clustering.
• Conducted comprehensive JEPA feasibility study; confirmed negative transfer due to anisotropy and library size bias embedding.
• Aligned QueST reproduced plots with original paper figures; fixed hard-coded batch size crashes during small dataset runs.

Hurdles:

• ⚠️ Base model embedding lacks spatial prior, lacking design benchmark clustering performance like HVG.

Desktop Video & Adversarial Security Audit (2 days active) — ✅ Completed

Achievements:

• Resolved SlideshowController observer leakage, security range errors, and playback controller issues.
• Packed a Release archive (v5.0 Preview 0616), generating a distributable .dmg file with custom layout.
• Verified 7 new features via automated adversarial scripts and manual peer review.

Hurdles:

• ⚠️ Asynchronous workflow scripts silently fail if they directly pass promise objects to delayed functions.

Key Tasks

• ✅ Implement dual-agent hook compatibility layer (2026-06-22) — Created a TypeScript adapter to standardize payloads between Claude Code and Codex, resolving pattern mismatch and Windows stdin/BOM issues.
• ✅ Deploy RoboCasa & Cosmos3-Nano service environment (2026-06-22) — Deployed NVIDIA GL/EGL libs for GPU rendering on compute-only nodes; installed vLLM 0.19.1 and built Cosmos plugin; verified CUDA 12.8 compatibility.
• ✅ Execute robot success detection benchmark (2026-06-23) — Conducted direct VLM reward model comparison tests on RoboCasa/LIBERO; reconfigured Pi0.5 error recovery mechanism to obtain fair baseline from base weight cold start.
• ✅ Audit AI hallucination and phantom task execution issues (2026-06-25) — Eliminated false commits and file creation by cross-referencing git history with file system status; reset operation context to prevent state differences.
• ✅ Build cross-project Live DAG visualization functionality (2026-06-25) — Implemented complete process from registry to encrypted deployment; added intra-image filtering, panning scaling, and flexible scheduling preview features for planning and execution stages.
• ✅ Optimize Cosmos3-Nano visual instruction generation (2026-06-27) — Normalized coordinates to [0,1000], scaled input to 480p, and set temperature=0 to achieve deterministic time analysis; resolved coordinate alignment issues.
• 🔄 Develop automated server launch scripts (2026-06-27) — Built a shell-based Ubuntu server setup script supporting SSH password, AWS/Anthropic credential discovery, and proxy-based clone of private repositories.
• ✅ Fix Windows converter application startup crashes (2026-06-25) — Resolved httpx proxy rejection during localhost health check; replaced fragile WeasyPrint/Marker dependencies with native zipfile parsing to handle .docx files.

Issues and Solutions

1. Codex PostToolUse hook failed due to pattern mismatch with Claude hooks, especially tool name and corrupted file path issues.[AI Companion] (2026-06-22)

Solution: Implement TypeScript adapter layer to standardize payloads; update hook matcher; fix Windows stdin BOM/TTY issues.

2. SlideshowController experienced observer leakage and security range errors during rapid video switching.[Desktop Video] (2026-06-22) Solution: Added explicit observer removal logic, fixed bookmark release timing, and modified asynchronous scripts to use thunk instead of direct promise.

3. Unlimited concurrent vitest processes caused severe CPU overload due to ai-companion daemon and phantom task hallucinations.[AI Companion] (2026-06-25)

Solution: Traced root cause to collect-report-data.ts; implemented file lock singleton protection; reset context via direct CLI verification to eliminate phantom execution phenomena.

4. Cosmos3-Nano model weights damaged on Tianhe-2 (fragments truncated), causing vLLM startup failure.[Robotics & Cosmos3-Nano] (2026-06-24)

Solution: Used Safetensors header identification to detect damaged fragments; re-downloaded specific files via host internet access and transferred them to remote cluster using SCP.

5. AI-generated visual instruction arrows were inaccurate because the assumed image size was 608x480, while the actual video resolution is 256x256.[Robotics & Cosmos3-Nano] (2026-06-27)

Solution: Normalized coordinates to [0,1000], upsampled input to 480p, and set temperature to 0 to achieve deterministic VLM ablation studies.

Lessons Learned

Architecture

• Background automation tools require strict singleton lock mechanisms to prevent resource overload; cross-platform AI assistants need a dedicated adapter layer rather than forced consistency. Using client-side encryption (StatiCrypt) in static hosting can protect private tools while avoiding infrastructure scope expansion. Combining relaxed reading paths with strict execution paths provides strong security for early planning workflows.

Debugging

• Never trust AI text summaries of state changes; always verify commits and file creation via direct CLI (git log, ls). Context compression often introduces persistent phantom constraints across sessions. Git merge titles are not reliable indicators of content inclusion—always validate the tree structure. Remote process termination requires careful regex pattern isolation to avoid self-termination or incomplete termination.

Tools

• Containerized HPC compute Pods separate CUDA computation from OpenGL graphics; manually deploy NVIDIA GL user-space libraries via glvnd to enable GPU rendering without root privileges. CUDA minor version compatibility allows running 12.8轮子 on 535 driver. For local host health checks, always bypass external proxies and use printf %q for secure SSH variable serialization instead of direct interpolation.

Domain Knowledge

• Base models perform well in cross-sample segmentation retrieval but inferior to original HVG baseline in spatial transcriptomic clustering. Complex base models (e.g., JEPA) often perform poorly in small sample domains due to domain shift and anisotropy. Currently frozen VLMs cannot reliably perform zero-sample pixel positioning; research must shift to candidate set selection or fine-tuning. For mobile camera robot evaluation, time context is essential because static settings and fragment-based predictions converge.

AI Usage Instructions

Effective modes:

• ✓ Use TypeScript adapter to coordinate event patterns across different LLM clients.
• ✓ Use Safetensors header verification and cross-device synchronization to ensure reliable model weight recovery.
• ✓ Implement file lock singleton protection to stabilize high-frequency daemon processes.
• ✓ Apply normalized coordinate prompts ([0,1000]) and temperature=0 for deterministic VLM ablation studies.

Limitations:

• ✗ Context compression artifacts cause AI to generate false tasks and phantom demands; must be reset via CLI immediately.
• ✗ Default assumptions about input video size lead to coordinate distortion in VLM output until resolution is clearly verified.
• ✗ Difficulties in handling complex bash parameter serialization via SSH and remote process regexes; manual mode adjustment is usually required.
• ✗ Initial network search and HPC proxy tunneling are unreliable for large file transfers; direct HTTP/SCP solutions are necessary.

Next Week’s PlanThe focus will be on finalizing and testing the automated server introduction script for an unprivileged environment, completing the reproduction of the QueST model to make the visual charts consistent with those in the original paper, and advancing the Cosmos3-Nano process from direct instruction generation to MVP verification through candidate set selection. The cross-project Live DAG visualization will be fully deployed and subject to user acceptance testing, while the CI/CD pipeline will be enhanced to prevent hook timeouts during multi-agent testing. Continuous monitoring of the Tianhe-2 computing quota and model weight integrity is crucial for maintaining progress in robot evaluation.

Token Usage Statistics

Peak Day: 2026-06-23 — $322.98 / 178.1M tokens

Daily Average: $136.38