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Factored Cognition

Written 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

105Rant on Problem Factorization for Alignment

3y

53

75A guide to Iterated Amplification & Debate

5y

12

34Idealized Factored Cognition

5y

6

23Clarifying Factored Cognition

5y

2

17FC final: Can Factored Cognition schemes scale?

4y

0

17Traversing a Cognition Space

5y

5

55[Part 1] Amplifying generalist research via forecasting – Models of impact and challenges

Bird Concept, ozziegooen, Elizabeth, NunoSempere, Ben Goldhaber

6y

29

45Factored Cognition

7y

6

176Critical review of Christiano's disagreements with Yudkowsky

2y

40

145Supervise Process, not Outcomes

stuhlmueller, jungofthewon

3y

9

103Writeup: Progress on AI Safety via Debate

Beth Barnes, paulfchristiano

5y

18

74Thoughts on “Process-Based Supervision”

2y

4

62[Part 2] Amplifying generalist research via forecasting – results from a preliminary exploration

Bird Concept, ozziegooen, Elizabeth, NunoSempere, Ben Goldhaber

6y

10

60Garrabrant and Shah on human modeling in AGI

4y

10

35Preface to the Sequence on Factored Cognition

5y

6

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