AI, technology, education, and ideas about what comes next.
AI could make software dramatically more useful while creating new conflicts between what users want and what AI providers may be rewarded for. The real question is who the agent ultimately works for.
What happens when intelligence becomes abundant? This essay argues that the physical limits of computation, energy, infrastructure and access may matter as much as raw model intelligence in determining how useful AI can become.
As AI models become more capable, the bottleneck may shift to the human operating them. This podcast episode explores why judgment, questioning, selection and AI musicianship determine how much useful work we actually extract from powerful models.
What happens when humans try to survive a future of competing AI systems, robots and institutions? This deliberately absurd thought experiment explores the ancient strategy of playing both sides against machines with perfect memory.
What happens to human expertise when AI makes intelligence cheap and scalable? This podcast episode explores Raw Intelligence, the Evaluator Economy, writing craft, AI model differences and the changing role of human judgment.
A satirical thought experiment: if humans, AI systems and robots ever become competing factions, can one clever human remain friends with everyone—and survive by backing whoever wins?
AI may not simply destroy jobs. It may remove the economic ladder through which ordinary people historically climbed—and force society to rethink work, ownership, distribution, purpose and freedom.
When AI stops doing the work and starts building the thinker, the goal shifts from immediate performance to lasting human capability.
When human intelligence and AI begin thinking together, the unit of intelligence may no longer be the individual mind—but the human–AI cognitive system.
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?
AI is making intelligence, coordination and information cheaper. Could that eventually change how money, local economies and even government work?
AI is making production cheaper. As generation becomes abundant, the scarce skill may shift to evaluation, judgement, context, cross-domain thinking and recognising what the machine missed.
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.
The same AI can have opposite effects on human creativity. It may homogenize predictive users while amplifying generative thinkers who use AI to explore unusual connections and ideas.
AI may become more than a productivity tool: it could become a map of how an individual’s ideas connect across domains and over time. The Fractal Brain is a proposed model for preserving those connections without forcing non-linear thinking into linear folders.
A practical framework for productive human–AI collaboration: human intuition and judgment combined with AI’s breadth, speed, synthesis and ability to challenge ideas—turning conversation into learning, creation and discovery.
This thought experiment explores how AI could gain increasing authority through tools, agents, decisions, physical infrastructure and human dependence—without ever needing to physically “escape.”
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.
Many important ideas begin as tiny seeds rather than fully formed projects. Multi-Seed Theory proposes planting many small ideas, testing them cheaply, pruning weak branches and investing more deeply in the few that show real potential.
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.
AI could transform society not by concentrating intelligence in a few megacorporations, but by making powerful capabilities accessible to millions of people. The deeper question is how widely AI’s economic power will be distributed.
Soft Brain Initiative Preserving Humanity’s Greatest Asset Before It Is Lost Forever “Libraries preserve information. Civilizations progress when they preserve wisdom.” What if history has been repeating the…