David Dalrymple on the Anna Karenina principle applied to AI alignment.

Noam Segal on AI's quality ceiling: AI makes work faster but not better.

David Dalrymple on the moral obligation to use AI as a tool.

Noam Segal on workers coerced into AI adoption who still see colleagues lose their jobs.

Noam Segal on tech worker disorientation amid AI disruption, using an industrial-revolution analogy.

David Dalrymple on the certainty of biological human disempowerment.

Arvind Jain on wealth as a prerequisite for rational founder and investor decision-making.

Arvind Jain on the enterprise AI search land grab and Glean's market position.

Danielle Perszyk reframes AI agent reliability as a mind-modeling problem, not a mechanical consistency problem.

Danielle Perszyk argues training environments deserve as much investment as compute and data because they determine what intelligence can emerge.

Arvind Jain on the psychological requirement of CEO leadership.

David Hoffman argues ETH fees will never be material, making DCF frameworks inapplicable to Ether.