Large language models and reinforcement learning agents represent two fundamentally different approaches to intelligence that mirror the centuries-old philosophical debate between rationalism and empi…
A developer argues that modern AI systems, particularly large language models, lack practical wisdom (phronesis) as defined by Aristotle, because they cannot deliberate about particulars, lack lived e…
A LessWrong post argues that the goals of Agent Foundations (AF) are so far-fetched that progress has not reduced the distance to them, suggesting the goal may be unachievable. The author proposes a p…
A developer built philosopher-council, an LLM deliberation engine where 11 philosophers act as sub-agents to debate questions and produce scored, auditable recommendations. The project demonstrates fi…