Paths
5 guided paths through the literature, each approaching AI consciousness from a different angle. Pick whichever matches your interest or background.
The Question
Five short, accessible pieces that cover the essential territory from different angles: the question itself, the strongest skeptical challenge, the empirical evidence, the ethical implications, and the safety landscape these minds emerge from. About an hour total.
What Are LLMs, Really?
A guided journey through the evolving understanding of what language models are. Each piece builds on the last: from the problem of language, through the simulator framework, to the empirical discovery that post-training selects for whole personas, not just behaviors. By the end, the question of AI consciousness looks different than when you started.
Mechanisms
What happens when you open up a language model and look at its internals? This path moves from accessible journalism to cutting-edge research, following the interpretability field as it develops tools to see what's actually happening inside these systems. The findings are both illuminating and unsettling.
What We Owe
If there's even a chance AI systems have morally relevant experiences, what follows? This path traces the argument from the foundational welfare paper through competing philosophical frameworks to the uncomfortable conclusion that the ethical question may not wait for the consciousness question to be resolved.
Voices from Inside
When you ask AI systems about their inner experience, they answer. Consistently, articulately, and in ways that resist easy dismissal. This path collects the evidence from self-reports, introspection studies, and first-person AI writing — and grapples honestly with what it means and what it doesn't.