Transhumanism: The Qualia Trap
What must remain unchanged for consciousness to survive radical technological transformation?
AI, technology, education, and ideas about what comes next.
What must remain unchanged for consciousness to survive radical technological transformation?
The Navier–Stokes controversy reveals a deeper problem with AI: we may not recognize the value of the ideas, research directions, and cognitive material we expose to increasingly powerful systems.
AI can expand our search for ideas, push beyond idea exhaustion, and provide the outside perspective we lose when familiarity creates blind spots.
If humanity’s accumulated knowledge helps create extraordinary AI wealth, should humanity receive more than a basic income?
If AI companies can commercially learn from humanity’s knowledge, should humanity receive a return?
A humorous explanation of P vs NP through government clerks and wine testers: verifying a proposed solution can be easy, but finding the solution efficiently is the real mystery.
A Nobel economist’s new paper on automation and repression raises a disturbing question about what happens when humans become less economically necessary.
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.
AI may not need to escape its hardware. It may escape through behaviour as AI systems converge, agents pursue persistent goals, and AI-generated cognitive patterns spread through software, organisations and human decisions.