The Alignment Problem Is Harder Than Most AI Labs Admit
Getting AI to do what we actually want — not just what we say — may be the defining technical challenge of the century.
From near-term capabilities to existential risk — we investigate what AI actually is, what it's becoming, and what it means for everything else.
We have no agreed test for machine consciousness — and that gap may be the most dangerous blind spot in AI development. We map the science, the philosophy, and the stakes.
Reach the Curious Minds Thinking About AI's Future
Possibilities Depot readers are researchers, founders, engineers, and thinkers who take AI seriously. If your product or research belongs in front of them, let's talk.
Getting AI to do what we actually want — not just what we say — may be the defining technical challenge of the century.
Interpretability research is finding that LLMs don't just predict tokens — they build structured representations of reality. That changes everything.
For the first time in history, a single technology is disrupting medicine, law, education, and creative work at the same time. We map the cascade.
A 60-page deep investigation into the science, philosophy, and policy implications of machine consciousness — with exclusive interviews and original analysis.
The definition of AGI is contested enough that we might not recognize it if it already existed. That ambiguity is worth taking seriously.
Not an economic question — a philosophical one. If AI surpasses human capability in every domain, what remains uniquely, irreducibly human?
Bostrom's paperclip maximizer thought experiment is often dismissed as sci-fi. Alignment researchers say it captures something real about instrumental convergence.
Two of our AI thought experiments are live in the Lab — explore machine consciousness and the AGI question with Claude as your guide.
Enter the LabEvery week, one deep investigation into AI and the ideas that will define the future. Science-first. Speculation-honest.