Intellectual Hacking
How AI is making human intelligence interoperable For a long time, I thought intelligence was largely trapped inside the architecture of the individual mind. You might have strong…
How AI is making human intelligence interoperable For a long time, I thought intelligence was largely trapped inside the architecture of the individual mind. You might have strong…
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?
Humanity’s ancient dream of immortality meets a different transhuman path: continuous transformation of the conscious process rather than copying it into a machine.
AI capability is not the same as AI judgment. As machines become capable of producing almost anything on demand, the scarce resource may become the human ability to decide what should actually be done.
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 is becoming extraordinarily good at doing things. Yet it can still misunderstand what a person actually means. The deeper problem may not be intelligence, but judgment: knowing what matters in the first place.
If humans cannot reliably understand a future superintelligence, perhaps control does not require understanding the mind. It may require controlling the systems, resources and physical interfaces through which intelligence can act.
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.
AI can help us research faster—but it can also become an extraordinarily efficient confirmation engine. This podcast episode explores why better questions, adversarial checking and human judgment matter when AI produces persuasive research.
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.
AI may compress management layers, change the value of human expertise and alter how we write. This podcast episode connects those ideas through one question: who holds the judgment when machines hold the scale?
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?
