ai technology

What is Solomonoff induction that's been trending on X? Exploring the fundamental principle of machine learning that 'compression is generalization' to solve the mystery of unsupervised learning. From theoretical foundations to latest trends, explained from a practical perspective for AI engineers.

A comprehensive analysis of the Agent2Agent (A2A) protocol announced by Google at Cloud Next '25. This guide examines the technical foundations and strategic implications, including integration with MCP, and its impact on corporate AI strategies from a practical perspective.

A comprehensive exploration of Anthropic's Model Context Protocol (MCP), the 'USB-C for AI' that standardizes integration between LLM agents and external tools. Covers technical mechanisms, implementation methods, and industry trends accelerated by OpenAI's participation.

A comprehensive guide to designing and implementing knowledge graphs that express relationships beyond numerical evaluations. Learn practical methods for structuring complex knowledge for LLM-powered applications, with insights gained from developing an investment interview system.

A comprehensive guide to probabilistic parameter modeling using Bayesian updates and question generation strategies based on information gain. Learn how to improve LLM-based decision-making quality by explicitly handling uncertainty in your AI applications.

A profound exploration of how a suspected colon cancer diagnosis led to reconsidering the 'purpose of writing' in the ChatGPT era and preventing social division through complex network control. This reflection offers new perspectives on communication innovation and technological approaches to societal challenges.