Blog
Thoughts on AI, engineering, and building the future.
Why Open-Weight Models Matter for AI Independence
Why owning open-weight models protects builders from account bans, rate limits, and centralized policy shifts that can kneecap innovation overnight.
The Anti-Slop Backlash: Keep Thinking in a Synthetic Sludge Age
A call to resist automated brain rot, expose the hollow economics of generative visuals, and double down on language-first tools that sharpen judgment.
Why Agentic Search is Replacing Traditional RAG
The AI landscape is witnessing a fundamental shift from static retrieval-augmented generation to dynamic, intelligent search systems. Discover why agentic search represents the future of AI-powered information retrieval.
Why AI Agents Signal the End of Click-Based Computing
How modern AI agents herald a fundamental shift from traditional graphical interfaces to conversational, intent-based interactions that will reshape how we interact with computers.
How Large Language Models Think and Learn
A deep dive into the fascinating mechanisms that enable LLMs to process information, reason, and generate responses - from extended context and in-context learning to the architecture of thought.
The Next Generation of AI Coding Assistants
A comprehensive look at Anthropic's announcement of Claude Opus 4 and Claude Sonnet 4, featuring revolutionary advances in coding capabilities, extended thinking with tool use, and the general availability of Claude Code.
Connecting LLMs to Your Data
A deep dive into Model Context Protocol resources - how they enable LLMs to access external data sources while maintaining application control.
Building the Future of Interactive AI Systems
An in-depth exploration of OpenAI's Agents SDK, its key features, and how it's revolutionizing the development of autonomous AI systems.
MCP and Cursor
Extending AI capabilities with Model Context Protocol, a powerful open standard for connecting Cursor to external tools and data sources.
Chain of Thought Reranking
A technique to optimize LLM responses by extracting and refining their internal reasoning chains.
Building langchain-salesforce
A journey in creating a seamless integration between LangChain's powerful LLM framework and Salesforce's robust CRM platform.
Entropy-Based Chain of Thought Injection
A technique to optimize LLM responses by extracting and refining their internal reasoning chains.
NumPy MCP Server
Building a Model Context Protocol server for numerical computations with NumPy, enabling LLMs to perform mathematical operations.
Building Halcyon-1B: A Creative Writing Model
A venture into developing a specialized language model for creative writing, built on Gemma-3B and fine-tuned for storytelling and narrative construction.