Summary This post explores the unexpected behavior observed when octal subtraction yields results that seem off in practice. Root Cause The discrepancy arises from misinterpreting how octal operations translate across different bases during conversion. Why This Happens in Real Systems Calculation errors during digit mapping Misapplication of radix conversion rules Lack of verification in intermediate … Read more

Summary When a small AI assistant is built by sending raw prompts to a local LLM, the model often hallucinates answers that are not grounded in the user’s internal documents. The recommended first step to mitigate this is to add a Retrieval‑Augmented Generation (RAG) layer that fetches relevant document snippets before generation. This approach keeps … Read more

Summary IMU-based velocity calculations for golf swing analysis often produce inaccurate results due to fundamental limitations in sensor fusion and integration drift. The primary issue stems from using raw accelerometer data integrated over time, which amplifies noise and biases, leading to velocity estimates that can deviate by 50-200% from actual values during high-dynamic golf swings. … Read more

Summary Large Language Models (LLMs) have achieved remarkable success through next-token prediction, but their inability to perform complex logical reasoning and multi-step planning reveals critical architectural gaps. While scaling parameters and data can improve performance marginally, achieving Artificial General Intelligence (AGI) likely requires integrating symbolic reasoning mechanisms akin to System 2 Thinking. This postmortem analyzes … Read more

Summary A memory leak in a continuous-loop face-emotion detection script on an NVIDIA Jetson Nano caused the OOM (Out of Memory) Killer to terminate the process after 3–4 hours of operation. The root cause was improper resource cleanup when repeatedly calling the deepface library’s APIs inside a while True loop without explicit garbage collection or … Read more