English

A quantitative approach to identifying planetary alignments using orbital mechanics and Skyfield library, combining visibility, linear alignment, and longitude clustering metrics to search decades of astronomical data.

A hands-on exploration of OpenAI Deep Research through a simulated car-buying scenario, demonstrating how AI elevates research efficiency and enables deeper strategic thinking about negotiation and decision-making.

Don't start Agentic AI with frameworks like AutoGen or LangGraph—they lock you into a worldview. Build from first principles while the field is still evolving rapidly.

A critical review of DeepSeek r1 comparing it to GPT-4o and o1, finding it lacking in instruction following and reasoning depth, but exceptional in Chinese language mastery and creative writing.

Explains DeepSeek v2 and v3's Mixture of Experts architecture using a hospital analogy, covering expert specialization, routing, load balancing challenges, and cross-node communication.

Uses a debugging session to illustrate three key AI management skills: resisting the urge to take over, providing visual context instead of vague complaints, and teaching methodology rather than giving answers—the shift from IC to manager mindset.

How separating Planner and Executor roles, enforcing document-based communication, and using o1 as Planner transformed Cursor from a simple assistant into a multi-agent system.

Learn funnel analysis through ZWO's product strategy: how ASI Air and Seestar break down barriers in astrophotography, and how distributed devices could transform scientific research.

Why Agentic AI often achieves only 70-80% completion: broken self-iteration loops due to missing perception and subjective standards, and how to fix them.

Why I renewed the $200/month ChatGPT Pro subscription: o1 Pro delivers thinking depth and insights that other models cannot provide, acting like a mentor rather than just an assistant.