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.
A framework for separating AI capability, cognitive labor, work product, attribution, confidentiality, and rights—and understanding AI as a digital employee or agent.
Are artificial minds merely reproducing the same human biases—or is intelligence converging toward a unified truth? An exploration of AI convergence, the Truth Attractor hypothesis, and the emerging idea of a unified truth subspace.
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?
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.
