Articles on AI development, computer vision, and software engineering.
Anthropic suffered three consecutive security incidents in one week — exposing a secret AI model, its main product's source code, and causing a GitHub DMCA fiasco. A detailed breakdown of what happened and what it means.
Read More →A practical look at how computer vision models can eliminate manual meter reading errors — from data collection and model training to edge deployment on Android devices.
Read More →Comparing YOLOv5, YOLOv8, and other detection architectures for real-world production use cases. Speed, accuracy, and deployment complexity tradeoffs explained.
Read More →The practical steps between a working Jupyter notebook and a production API serving a mobile app — including TFLite conversion, Flask deployment, and performance monitoring.
Read More →Not every problem needs AI. A practical framework for deciding when machine learning adds genuine value versus when simpler solutions are faster, cheaper, and more reliable.
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