AI COMPANION / BUGJOURNAL
Executed a multi-domain research and development push covering HD P2 spatial omics clustering, VLA quantization optimization, LifeCopilot adaptive scheduling, and strategic pivots for RoboMemory and QWOP reinforcement learning, with significant infrastructure and algorithmic debugging.
Achieved SOTA 36.967s in QWOP RL via action-repeat annealing, verified R1-R4 rotation deployment on Qualcomm NPU without activation quantization, consolidated RoboMemory 2x2 writer-channel analysis with visualizations, and audited the RoboMME benchmark SOTA.
Executed comprehensive codebase audits and security remediations across TokenMonitor, Gadget, and LifeCopilot, achieved significant performance breakthroughs in QWOP RL (breaking 45s barrier) and RoboMemory via symbolic grounding, resolved critical Pi0.5 quantization failures, and finalized HD P2 spatial omics benchmarking visualization.
Implemented and audited complex reward shaping for QWOP RL training, while analyzing VLM visual tracking failures in RoboMemory.
Achieved critical breakthroughs across four major projects: corrected a fundamental confound in the MIHD paper’s statistical claims, fixed a hardware calibration bug in the Amber app, reduced QWOP RL completion time by 60% via curriculum learning, and validated VLM-based trajectory generation for RoboMemory.
Resolved critical infrastructure and code stability issues across QWOP RL, MIHD Benchmarking, TokenMonitor, and Amber projects while establishing a verified scientific writing framework for Nature Methods.
Resolved critical low-bit quantization blockers for pi0.5 and clarified SpinQuant mechanics through deep code analysis, finalized MIHD paper structure with corrected factual claims, released Amber v1.1.0 with night preset revisions, and audited RoboMemory Stage 2 results revealing unexpected baseline performance.
Resolved critical infrastructure and metric saturation issues for pi0.5/GR00T quantization, verified GR00T DiT rotation math, conducted deep research on oracle-less visual prompts for RoboMemory Stage 3, and audited LiveCaption input logic.
Delivered critical fixes for LiveCaption and TokenMonitor, released EyeCareAmber v1.0.0, finalized MIHD paper Results via adversarial multi-agent review, validated OpenVLA failure baselines, and completed RoboMemory Stage 1 evaluation with visual trajectory improvements.
Delivered critical infrastructure fixes and cross-platform UI parity for LiveCaption and TokenMonitor, resolved complex hardware/software blockers in pi0.5 quantization pipelines, executed large-scale HD spatial transcriptomics clustering, and pioneered trajectory-based visual prompting for RoboMemory while establishing rigorous audit protocols for robotic benchmarks.