Daily Report — 2026-09-13

Daily Overview

• What was done: The team executed a major security refactor to enable developer workflows, conducted deep-dive performance analysis into Windows-based gaming stuttering, and finalized several development milestones including prompt redesigns and latency measurement tools.
• How it was done: Work was performed through a combination of architectural security hardening (ccthink workflow), Windows Performance Toolkit (xperf) ETL trace analysis, and the implementation of new prompt and scanning logic.
• Impact: The changes enabled legitimate developer workflows (Python/SCP) while hardening ledger path protection, provided a redirection of the Minecraft performance investigation toward the display synchronization pipeline, and completed major roadmap items like the Unified Arrow Prompt.

The day involved executing a major security refactor for the AI Companion guard system to allow developer workflows, performing deep-dive performance analysis on Windows-based Minecraft stuttering, and finalizing several development milestones including prompt redesigns and latency measurement tools.

Tasks

Architecture & Strategy

• ✅ I-144: Interpreter wall removal and scp unblocking — Remove the interpreter restriction layer, remove scp from the downloader list, and update documentation to reflect the new 4-layer security model.
• ✅ I-143: Ledger path substring hardening — Implement mentionedLedger to detect sensitive ledger paths (like .approved) even when hidden inside quoted arguments or shell command strings.
• 🔄 Root Cause Identification — Determining if the bottleneck is NVIDIA driver, VSync settings, or a specific system component like nvspcap64.dll.
• ✅ Fixing engine invocation holes — Add support for prefix-based engine paths (claude-/cursor-) and nested engine invocations (bash -c) to prevent security bypasses exposed by wall removal.
• ✅ Windows Performance Trace Analysis — Processed ETL files using xperf to analyze CPU, DPC, ISR, and Disk I/O patterns.
• ✅ Minecraft Thread Diagnostics — Performed thread dumps and examined Minecraft configuration (options.txt) and mod settings.
• • I-145: 16-task scan (Writing side) — Generate a full table of task classification success, arrow expressibility, and failure reasons.
• • I-146: Latency Measurement — Measure wall-clock time for model calls, segment steps, and rendering loops.

Problems & Solutions

Critical Issues

1. Removing the interpreter wall allowed agents to bypass ledger protection by passing paths as quoted substrings in command arguments.

Solution: Implemented a third scanning pass in protectedTargetRefusal using mentionedLedger to detect sensitive paths as substrings rather than whole tokens.

2. Sudden FPS drop to 1-2 and mouse stutter despite low CPU/GPU utilization.

Solution: Analyzed render thread states and found them stuck in ‘glfwSwapBuffers’, indicating a sync/display bottleneck rather than a processing bottleneck.

3. The removal of the interpreter wall exposed two security leaks where the engine could be invoked via shell prefixes or nested calls.

Solution: Enhanced ENGINE_INVOCATION regex to handle claude-/cursor- prefixes and implemented NESTED_ENGINE_INVOCATION for nested shell execution.

4. Potential driver-induced latency spikes noticed in traces.

Solution: Investigated DPC info and realized 4-16ms spikes were present but insufficient to explain the extreme 1 FPS drop, shifting focus to the display pipeline.

5. Jump host connection timeout preventing remote deployment/startup.

Solution: Wait for jump host stability. Use deploy_drawn_memory.sh once connection is restored to automate future deployments via permitted .sh execution.

6. Guard restriction prevents the Agent from running local Python/SCP.

Solution: User must run quad_scan.py locally (with VPN) and scp the training script manually (or via deployment script once connection is up).

General Issues

7. The install.ts --update command failed due to a malformed (non-UTF-8) JSON file in an unrelated repository.

Solution: Identified the specific file causing the conflict and opted to install the updated bundle only to the current repository to avoid data loss.

Human vs AI Approaches

Strategic Level

Security vs. Usability Trade-off

Role	Approach
Human	Requested the removal of scp and python bans to facilitate real-world work (conda, cluster transfers).
AI	Identified that removing the wall would break the primary ledger protection and proposed a mandatory hardening task (I-143) before proceeding.

Difference Analysis: The AI proactively identified a critical security gap (substring bypass) created by the user’s requested architectural change.

Problem Symptom Clarification

Role	Approach
Human	Provided critical context that mouse lag persists even on the Windows desktop, moving the investigation away from game-only logic.
AI	Initially focused on Minecraft internal logic (GC, mods, thread dumps) and driver-specific interrupts.

Difference Analysis: The human’s observation about system-wide stuttering was the turning point that forced the AI to investigate the Windows display driver/DWM path instead of just the game process.

Remote Training/Scp

Role	Approach
Human	N/A
AI	The agent can write the deployment script but cannot bypass the ‘Write’ gate for SCP.

Difference Analysis: User must perform the physical transfer and execution on tianhe3.

Local Scanning

Role	Approach
Human	N/A
AI	The agent can write logic (scripts) but cannot execute non-self-test Python runs.

Difference Analysis: User must execute python src/drawn_memory/quad_scan.py locally.

AI Limitations

Critical Limitations

• AI failed to recognize that a change in the security architecture (removing the interpreter wall) would necessitate a change in how the ledger protection is implemented (token vs substring).
• The Agent cannot run arbitrary Python locally or execute SCP due to D21/D26 security gates. It can only trigger run-check (self-tests) or .sh deployment scripts.

General Limitations

• Initially over-emphasized small DPC spikes as a potential cause before realizing they couldn’t account for the magnitude of the FPS drop.

Learnings

Key Learnings

• Security barriers that rely on ’layering’ can create false sense of security; removing one layer can reveal that subsequent layers were only effective because of the first.
• Low FPS combined with low resource usage often points to thread synchronization or display buffer blocking (e.g., glfwSwapBuffers) rather than hardware capacity.

Practical Learnings

• ‘Self-test in module tail’ pattern creates a technical debt: implementing a fix immediately makes the ‘Red’ sign-off stale/unexpected-pass. Future testing should be decoupled.
• Modifying symbol strings in graph.yaml invalidates existing approvals, even if only line numbers were intended to be added.

Conversation Summaries

AI Companion

✅ Guard System Refactor: Interpreter & SCP Planned and executed a major security refactor. First, implemented substring-based path protection for the ledger (I-143). Second, removed the interpreter wall and scp restriction (I-144). Fixed engine invocation bypasses and updated documentation. Verified with 612 passing tests.

Archive Cleanup

✅ Moving files to archive/ and syncing documentation. Resolved path mismatches in .gitignore and updated all deployment/overview maps.

Arrow Prompt

✅ Unified two-point prompt implementation. Redesigned the prompt to use ‘arm-body’ as start and ‘VLM-target’ as end, ensuring compatibility with existing training weights.

Minecraft Performance Analysis

🔄 Investigating Windows Stutter and Low FPS The user reported sudden FPS drops and mouse lag in Minecraft. The AI analyzed ETL traces, found DPC spikes in ntoskrnl.exe, and sampled Java threads. It concluded that since the lag persists on the desktop and the render thread is stuck in glfwSwapBuffers, the issue is likely in the display synchronization pipeline or NVIDIA driver components.

Token Usage