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Factored Cognition

Edited by Ruby, et al. last updated 30th Dec 2024

Factored Cognition is an approach to artificial intelligence where sophisticated learning and reasoning is broken down (or factored) into many small and mostly independent tasks [1].

Factored Cognition is related to Iterated Amplification (IDA).

Posts tagged Factored Cognition

43Rant on Problem Factorization for Alignment

3y

32

28A guide to Iterated Amplification & Debate

5y

0

18Idealized Factored Cognition

5y

0

11Clarifying Factored Cognition

5y

0

9Traversing a Cognition Space

5y

0

16Factored Cognition

7y

1

72Critical review of Christiano's disagreements with Yudkowsky

2y

5

69Supervise Process, not Outcomes

stuhlmueller, jungofthewon

3y

2

50Writeup: Progress on AI Safety via Debate

Beth Barnes, paulfchristiano

5y

15

39Thoughts on “Process-Based Supervision”

2y

1

23Garrabrant and Shah on human modeling in AGI

4y

7

16Preface to the Sequence on Factored Cognition

5y

0

10Update on Ought's experiments on factored evaluation of arguments

6y

1

13Hiding Complexity

5y

0

10Alignment Newsletter #36

7y

0

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