When individuals used technology to share paywalled knowledge, it was condemned as piracy. When AI models now scrape, summarize, and reproduce that same information without paying for it, it’s celebrated as innovation. This double standard exposes a deeper contradiction in how we define ownership, creativity, and fairness online. Drawing on
The US just announced its largest monetary seizure ever, worth more than $15 billion in bitcoins. The targeted entity is an investment conglomerate known as Prince Holding Group, responsible for running more than 10 scam compounds in Cambodia and for conducting international money laundering operations. This article explores the phenomena
While public debate fixates on deepfakes and election interference, a more pervasive force is emerging: not through propaganda, but through conversation. As millions engage with Large Language Models every day, asking for advice, explanations, and emotional reassurance, AI is no longer just informing, it is influencing.
From coding to content creation, automation is reshaping not just how we work — but why we work. The real danger of AI may not be unemployment, but the slow unmaking of what it means to be human. Through the story of a developer training the AI that will one

Food For Thought

Every system reaches a point where its makers lose the ability to contain it. Oppenheimer faced it in 1945. Artificial intelligence is moving toward the same line, where control slips and responsibility spreads to those forced to live with the consequences.
In 1943, a German pilot spared a shattered Allied bomber, choosing mercy where orders demanded execution. AI in warfare would not have paused. It would have scanned, confirmed, and fired, not from hatred but from code. Humans still draw fragile lines in war: a flag, a hand, a refusal. Machines do not see lines, only patterns, and once flagged as enemy, context collapses.