

“VDT: a solution to decision theory” by L Rudolf L
Apr 2, 2025
L. Rudolph L, the author behind the innovative VDT decision theory, dives into the complexities of decision-making under uncertainty. He discusses existing theories like Causal and Evidential Decision Theories and contrasts them with VDT's novel approach. The conversation highlights experimental results that prove VDT’s effectiveness. Rudolph emphasizes the importance of cooperation in achieving better outcomes, challenging traditional normative theories that often lead to flawed decisions. Tune in for a mind-bending exploration of rational behavior amidst uncertainty!
AI Snips
Chapters
Transcript
Episode notes
Decision Theory Overview
- Decision theory studies rational behavior under uncertainty, including bizarre scenarios like blackmail by alien superintelligences.
- It explores how to choose the "best" action, but no single theory solves all dilemmas.
Flaws in Decision Theories
- Existing decision theories like CDT, EDT, and FDT each have flaws.
- They fail in scenarios like Newcomb's problem, the smoking lesion, and Parfit's hitchhiker.
VDT: A Vibe Check for Decisions
- VDT (Vibe Decision Theory) suggests choosing actions with the "best vibes."
- It uses Claude 3.6 to calculate vibes and offer recommendations.