Articles and resources for studying AI technology
Anthropic’s head of alignment science stated publicly that the probability of AI killing all humans is greater than 10% within the next decade. Is the number real? Rather than adjudicating the figure, this article reads the “structure of the competition” the statement exposed and the difficulty it creates, then presents the realistic options available under uncertain information as implications for Japan.
how do you align the open-weight LLMs’ behavior to your own standards? This article sets out why that question is hard, and offers a framework for answering it.
The K3 shock implies that AI capability moves from monopoly towards oligopoly. In what follows, we discuss the strategy that companies using AI should adopt now.
ADOPT is the framework that turns a chosen AI initiative into a robust, specific, feasible, and measurable execution plan.
SCAN is an analysis framework focused on the capture of AI value and its linkage to corporate strategy, with the intention to maximize the impact of AI adoption.
AI either substitutes for human labor or augments it. This very distinction is the starting point for understanding how AI moves corporate profit.
The US AI boom is created by a self-reinforcing cycle — and it delivers a clear message to Japan.
