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POWM / OCTAVE — Eight-observer predictive memory architecture

Current30 Sept 2026 · saved

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01 / THE QUESTION

Source passage

Build a causal probabilistic world model with eight communicating temporal slots, persistent memory and explicit uncertainty. Eight is the experimental hypothesis supplied by the project, not an established law of brains or reality.

02 / WHAT THE RECORD SAYS

Source passage

An executable eight-observer recurrent prototype learns an exhaustively checked basic periodic pattern, with verified gradients, causal sensor masking, streaming continuity and reproducible optimizer continuation.

03 / LIMITS & OPEN POINTS

Source passage

Broader mastery, observer superiority, calibrated uncertainty and frontier capability remain hypotheses requiring the experiments above.

04 / THE NEXT QUESTION

Source passage

Compare 1, 4, 8 and 16 observers with approximately matched parameter count AND separately matched compute.

05 / CHECKS IN THE RECORD

Editorial guide

Finite losses and gradients under 128+ ticks; bounded activations over long streams; input schema rejection tests; hidden-value invariance; no target leakage; deterministic resume with external RNG explicitly included by the trainer; replay cutoff audit; interrupted-save recovery; inference state reset rules. Evaluate latency and peak memory as observer count and history grow. Numerical correctness is necessary but not evidence of generalization.

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Dates declared in the record
Design review, 30 September 2026
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Explicit project source citation
Origin
d0re research collection (snapshot 1 October 2026)
Original path
journey/sources/octave-design-review.txt
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Collection attribution; original record retains its own credits
Title basis
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Date
30 Sept 2026 · saved
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r-288afeeb8dda trains only this design's existing runnable baseline and states 'The scaled world-model proposal is not implemented or trained.' No later record replaces the design.
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11,112 bytes
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1,465 words
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1b7da66e7aee221012919f6b7510caea02dc17ac7e2713d9ce0cc9a96fc10f7e

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POWM / OCTAVE — Eight-observer predictive memory architecture
2026-09-30
d0re research record r-1b7da66e7aee
https://www.d0re.com/library/records/r-1b7da66e7aee.html
Authorship basis: Collection attribution; original record retains its own credits
Date basis: saved
Source SHA-256: 1b7da66e7aee221012919f6b7510caea02dc17ac7e2713d9ce0cc9a96fc10f7e

Independent research by Anthony Michael Collado.
Original credits remain with each source.