The promise of instant information through search engines, note-taking apps, and AI tools masks a crucial truth: true knowledge requires a trained mind and the ability to deeply process information.

In an age saturated with notifications and marketing ploys, many find themselves yearning for a simpler digital existence where technology serves rather than incessantly demands our attention.

Algorithmic scoring systems are already woven into our daily lives, tracking and influencing our behavior in ways similar to, but often less transparent than, China’s social credit system.

Prioritizing simplicity in software design can lead to more efficient and maintainable systems, challenging the common obsession with over-engineering for scalability.

China’s rapid development and self-sufficiency are reshaping global dynamics, challenging Western dominance and traditional notions of progress.

A look at the surprising prevalence of single-person maintenance in open-source projects, even among widely-used packages.

Designing effective APIs requires balancing familiarity with flexibility and understanding the importance of not breaking userspace.

Over-reliance on LLMs may lead to cognitive decline, undermining critical thinking, memory, and creativity in the long run.

While AI agents are touted as the future, practical experience reveals critical challenges in reliability, cost, and tool engineering that must be addressed for successful real-world deployment.

Sharing AI-generated content without explicit consent or personal adoption can be seen as a form of information pollution, akin to the alien ‘scramblers’ in Peter Watts’ ‘Blindsight’ who wage war by overwhelming others with meaningless data.