AI, technology, education, and ideas about what comes next.
AI can reason brilliantly inside the wrong frame. From the counterfeit-cap puzzle to the bat-and-ball problem, the deeper challenge is not merely solving a question but recognizing whether the question itself deserves to be solved.
AI & Human Intelligence begins with Book I: The Augmented Mind—a three-part exploration of artificial intelligence, human intelligence, and how AI may change the way we think.
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 may not simply replace human thinking. It could dramatically expand the ideas, possibilities and connections a human can explore.
Today’s AI is remarkably capable, but hallucination, sycophancy, reward hacking, weak scientific discovery, and limited memory reveal deeper design problems. What might the next generation need instead?
I tried to use Microsoft OneNote as a long-term archive for my ChatGPT work. The experiment exposed a deeper problem: storing AI-assisted work is easy; designing a useful system for organizing, retrieving and working with it is much harder.
AI may do more than replace individual tasks. By automating information processing, coordination and decision-making, it could compress the managerial hierarchy itself.
The hidden danger is not that AI cannot research. It is that it can research your question exactly as you framed it.
AI can be a Ferrari trapped on a one-lane road—but it can also be an extraordinary instrument in the hands of an ordinary user. The other AI bottleneck is the human ability to extract and direct its capability.
Three AI models can feel like three different cars: ChatGPT works through the problem, Gemini builds the intellectual framework, while Grok often looks for the obvious decisive move. The real difference is judgment.
A humorous but serious look at the gap between AI model capability and the amount of useful work a user can actually extract from it: fuel, interface bandwidth, context mobility, execution access and reliability.
A real-user review of ChatGPT’s model intelligence, memory, retrieval, UI/UX and tool limitations — and why a Pro upgrade is not the obvious answer when information flow is the real bottleneck.
AI may be most valuable not when it replaces human thinking, but when it turns tiny, half-formed ideas into developed intellectual output. The lazy brain may finally have a tool that lets its seeds survive.