AI, technology, education, and ideas about what comes next.
The content humorously explores the unintended consequences of AI’s advancements. Initially seen as liberators, machines now handle creative tasks, leaving humans relegated to mere “Click Bots.” This ironic twist prompts reflection on human evolution, suggesting that future generations might question humanity’s contributions amidst full automation, centered on repetitive actions like clicking.
AI may make intelligence abundant. But if access to that intelligence remains unequal, the future could be extraordinarily good for some—and surprisingly difficult for everyone else.
Imagine a world where powerful AI stops being something controlled by a few companies and becomes a cheap, widely available tool that anyone can use to write, code, persuade, research, design and act.
If AI reduces the amount of human labour needed to produce goods and services, the real question is not simply how to save existing jobs. It is how society should redesign work, income and economic participation.
AI may not need to replace entire occupations to transform employment. By reducing tasks, expertise, construction time, maintenance and labour required per unit of output, AI could change the relationship between production and employment itself.
AI may not make humans biologically less intelligent. But what happens if increasingly capable machines make us less willing—and less able—to exercise our own intelligence?
What if intelligence is not something that began with biological life? This deliberately unhinged hypothesis asks whether intelligence could be a deeper feature of reality—and whether what we call artificial intelligence is really discovering something much older.
AI may not merely create artificial intelligence. It may create an economy in which human intelligence itself becomes scalable—through Mind Books, cognitive access, attribution and royalties.
SEBI’s FY25–FY26 data reveal a much more complicated F&O picture than simply “most traders lose.” Capital, option strategy, prior profitability and experience all tell different stories.
A practical AI–human protocol for designing intelligent infographics: build the grayscale architecture first, preserve meaningful fills, then add minimal contextual colour only where it improves clarity.
Hiveminds, Epistemic Drift and the New AI Revolt In the first article, the interesting question was simple: what happens if AI eventually tries to escape its cage? That…
The homogenization problem is real Artificial intelligence is often discussed as if it has one inevitable effect on human creativity. It doesn’t. The same AI can make one…