The Digital Employee Model: A Solution to the AI Attribution Problem
A framework for separating AI capability, cognitive labor, work product, attribution, confidentiality, and rights—and understanding AI as a digital employee or agent.
Tag
AI Intelligence
55 Posts
When AI Beats Human Expertise
When AI can reproduce expertise at machine scale, the economics of tutoring, education and knowledge work begin to change. What happens when intelligence becomes abundant?
Podcast Episode: AI, Intelligence, And Human Understanding
A podcast on AI, cognitive blind spots, raw intelligence and the risk that abundant machine intelligence changes how humans think.
Podcast Episode: AI Judgment And Work
A podcast on AI reasoning, verification, decision-making, work and what happens when machine intelligence changes the structure of organizations.
Podcast Episode: Human Thinking In The Age Of AI
A podcast on human thinking with AI, cognitive augmentation, judgment, and the risk of becoming dependent on machine intelligence.
Podcast Episode: Rethinking Education In The AI Age
A podcast on universities, AI tutoring, adaptive learning and what education may become when intellectual assistance is abundant.
Question the Question: The Absent-Minded Professor Problem in AI
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: A New Three-Part Journey Begins
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 Two Wolves of AI: The Rise of K-Shaped Human Cognition
The same technology can amplify independent thinking—or accelerate cognitive outsourcing. AI may not produce one uniform cognitive future. It may widen the distance between people who use intelligence tools to think further and those who use them to think less.
The Limits of AI: When Knowing the Answer Is Not Understanding
AI can produce answers that look like understanding. But the deeper test is whether it can transfer concepts, detect contradictions, recognize boundaries, manage uncertainty, and connect different forms of intelligence.
When Knowledge Becomes Abundant, What Becomes Valuable Next?
As AI makes knowledge and cognitive production abundant, the bottleneck may move upward—from knowledge to awareness, judgment and agency.
AI as an Intelligence Multiplier
AI may be more than an artificial mind. It may be a new architecture of intelligence: structural, cross-domain, persistent, reusable—and capable of amplifying human thought.
Intelligence Development with AI
AI may become more than a productivity tool. It could become a personal cognitive training partner—changing how human intelligence develops.
The Black Box Paradox: Why the Future Is Both Scary and Exciting
As AI becomes capable of discovering systems humans may not fully understand, the future presents a paradox: technological dependence on intelligence beyond us—and the possibility of augmenting ourselves to understand it.