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A 2016 conference talk arguing that the software industry's mental habits—seeking maximal global solutions, prioritizing tech-worker comfort, and fantasies of control without responsibility—have built history's most powerful surveillance apparatus; calls for dismantling, not just regulating, surveillance capitalism and treating computing as politically accountable rather than as unprecedented.

An analysis of the tech industry's constant forward-looking nature and the impact of legacy systems.

In our rush to consume everything, we are losing the ability to truly understand anything. A provocative case for slowing down in an age of hyper-efficiency.

Individual thought is being swallowed by the collective roar of the digital crowd. Learn how the new 'hive mind' is rewriting the rules of human identity.

The digital world is reshaping the human mind in ways we are only starting to understand. Are we becoming nothing more than biological processors for information?

Explores a set of criteria for 'careful technology'—tools that are repairable, small-scale, and do not disrupt community or family relationships.

An encouraging look at the future of technology and the internet, arguing that we are still in the early stages of innovation and that the best opportunities are yet to be discovered.

Discusses the internet's role as a copy machine and identifies eight generative qualities—such as immediacy, personalization, and authenticity—that remain valuable even when copies are free.

Peel back the layers of the invisible battlefield to see how the 'guess' of military intelligence defines the victory or defeat of nations in the 21st century.

From narrow maritime straits to the microchips in your pocket, discover how the world's most vulnerable points have dictated the rise and fall of civilizations.

The article argues that AI agents cannot rely solely on cached or indexed data because the web is constantly evolving. Cached search limits accuracy by missing new, updated, or niche information sources. To stay relevant, AI systems must actively discover fresh data from the live web in real time. This approach improves coverage, reduces blind spots, and enables better validation of information. Traditional RAG systems using search APIs are insufficient without dynamic source discovery capabilities. The solution is integrating tools like Discover APIs, which allow AI agents to find, evaluate, and use up-to-date information effectively.