A deep dive into how AI models from OpenAI, DeepMind, Anthropic, and others are using automatic coding, Neural Architecture Search (NAS), and recursive self-improvement to accelerate the global race toward AGI.
A deep dive into how Claude Code's integration with Cursor IDE stacks up against Claude Sonnet and Google Gemini, with performance metrics, real-world examples, and practical guidance for software developers.
Moving beyond simple code generation, this post explores how combining Retrieval Augmented Generation (RAG) with agentic AI behaviors can create more context-aware and capable coding assistants that truly understand your project.
What's next for Machine Learning? Explore emerging trends like Explainable AI (XAI), TinyML, AutoML, Generative AI, and the growing importance of MLOps for robust and scalable AI solutions.
Ever wondered why developers sometimes resist new ideas or changes? This post explores common reasons for developer pushback and offers strategies for effective communication and collaboration to move projects forward.
AI models can inherit and amplify human biases. This post explores what AI bias is, where it comes from, its real-world impact, and strategies to mitigate it for fairer AI systems.