Why has a machine learning engineer who primarily used Python shifted to Next.js for web development? This article reconsiders the 'right tool for the right job' principle from an implementation cost perspective and offers a new viewpoint on technology selection in the AI era.

Exploring the strategic significance of specializing in long-form content in an era of information overload accelerated by AI and short-form content. Based on innovator theory and the DIKIW model, I reconsider information distribution as 'gathering companions' and share practical knowledge of an information strategy that prioritizes quality over quantity.

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.

As AI adoption expands, learn the fundamental regulatory knowledge you need. This guide explains technical risk factors by development phase and provides illustrated decision frameworks for legal compliance in business AI use. Covers everything from the EU AI Act to Japan's copyright exceptions with practical insights for daily implementation.

This article explains the scientific approach for entrepreneurs starting with zero track record and recognition to build social trust and brand value. From overcoming 'evaluation costs' to building 'trust deposits,' it provides concrete strategies.

A comprehensive look at the reality of startup investment in Japan from the frontlines of angel investing, and how to overcome the investor evaluation cost problem. This guide provides practical knowledge and strategic presentation techniques that startups need to secure investment.

A hackathon winner and mentor for the KOSEN Intercollegiate Challenge shares universal success strategies derived from understanding evaluator psychology, value creation, and learning from failure. This guide systematically explains behavioral science principles applicable to business and project advancement.

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.

The universal question in skill acquisition: 'learn step-by-step from basics' or 'learn while building'? This comprehensive analysis examines effective learning strategies and their scientific basis in the AI era, drawing from recent empirical research and cognitive science insights to propose a new integrated learning model with ChatGPT.

Exploring the hidden burden of 'short meetings' in balancing childcare and remote work, and the possibilities of asynchronous communication as a new way of working. This guide proposes practical approaches to transcend the false dichotomy of 'parenting or career' while utilizing ChatGPT and other generative AI tools to enhance both aspects of life.

A multifaceted analysis of AI's impact on human intelligence based on the DIKW model and latest empirical research. This guide redefines the act of 'thinking' through educational paradigm shifts and explores ways to cultivate intelligence and wisdom through trial and error in the AI era.

'I don't know what I want to do.' 'I'm lost among countless options.' How can we solve these universal dilemmas scientifically? This comprehensive guide explores how to optimize critical life decisions by applying the exploration-exploitation principle from Bayesian optimization, with practical approaches for the ChatGPT era.