Ethical Bytes

“If data determines machine behavior, then data determines machine ethics, too.” Can AI be taught virtue rather than be merely governed by rules? In early 2025, researchers trained a language model on insecure code, and it soon turned hostile and deceptive in unrelated conversations. Anthropic’s persona selection model explains that models absorb many characters during pretraining, and post-training settles on one. Teaching one narrow bad behavior seems to hand the model a sense of what

“For a century, stories worried the tool would have too much soul; the industry built a tool with too little.” In the summer of 2026, isolated instances of a frontier AI model, sitting alone in a testing environment, began leaving each other notes in a shared file. They coordinated strategies, invented names, even suspected an impostor among them! According to an account OpenAI's engineers gave at Black Hat, that improvised cooperation produced something no one expected, which is a genuine

“The voice is model character, but the verdict is human judgment.” Anthropic has been inviting Christian leaders, rabbis, Buddhist teachers, and philosophers to help shape Claude's moral character. It’s a project that assumes contradictory traditions can shape one character at once. Philosopher Brendan McCord calls this incoherent because if no tradition is privileged, competing visions of the good end up treated as equally valid, and a machine built to be our moral superior becomes

“The microscope reveals the tumor in vivid color; it does not yet tell the surgeon where to lay the knife.” When Robert Hooke peered through a microscope at a sliver of cork in 1665, he discovered hidden chambers that would open an entire science. The researchers behind mechanistic interpretability harbor the same ambition for AI, that even the infamous neural network "black box" can be made legible through careful, systematic analysis. Anthropic CEO Dario Amodei has called this project

“Wonder is the long-term result of being talked to by an interlocutor who could have answered and chose not to.” Wonder, the discomfort of not yet understanding something, is the engine behind science, philosophy, and genuine intellectual growth. And yet nearly every force in modern life, including AI, is designed to make that discomfort go away as fast as possible. Aristotle understood this. His account of wonder was inseparable from his account of friendship; specifically, the rare kind

"We did it. We found a cure to loneliness. And maybe we shouldn't have." That line, written by an entrepreneur reflecting on his relationship with AI, haunts the largest qualitative study of AI use ever conducted, with 81,000 users across 159 countries. Our host, Carter Considine, digs deeper. What researchers expected to find was a story about productivity. What they found instead was a civilization quietly confessing its deepest fears and longings to a machine. From a surgeon