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LessWrong's Fundamental Uncertainty Essay Contest Names 7 Entries, Winner Due August 15

Seven essays on deep AI uncertainty submitted, judging underway now.

Deep Dive

The Fundamental Uncertainty essay contest has entered its judging phase, with all seven submissions now publicly linked. Hosted on LessWrong, the contest invited writers to engage with fundamental uncertainty, a key concept in AI alignment and decision theory. Submissions include "Everything Adds Up to Normality" by Avril Shakira Villar, "Further thoughts on fundamental uncertainty" by Nikon Okdell, and a "Review of Fundamental Uncertainty" by TAG. The organizer is currently reviewing entries and expects to announce winners on or about August 15th. The list also includes works by Mitchell Porter, Stanislav Krym, Jimmy, and Gina Jon Discuss.

Essays tackle diverse angles, from "The Uncertainty That Matters Isn't Fundamental" to a proposed "Alternate Framework and Pointwise Reduction" by Stanislav Krym. This contest highlights active discourse in the AI alignment community on handling unknown unknowns and decision-making under uncertainty. Winning essays could shape ongoing research into robust AI systems. With the winner announcement imminent, interest in fundamental uncertainty is likely to grow, sparking further debate on LessWrong and across the alignment field.

Key Points
  • 7 essay submissions published, including entries by Avril Shakira Villar, Nikon Okdell, and Stanislav Krym
  • Winner announcement scheduled for August 15th, with entries covering alternate frameworks and critiques
  • Contest builds on LessWrong's core themes of AI alignment and decision theory under uncertainty

Why It Matters

The winning essays could sharpen AI alignment research by clarifying how agents should act under fundamental uncertainty.

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