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docs/plans A3+A6+A1: surfacing economy — all 30 sensates, top-2 priors, top-X convictions

A3: PS+ surfaces all 30 raw sensates but only the 2 most salient priors
(L3 ranked-top-2); evaluate_reality arguments carries top-2 only.
A6: top-X convictions rationale — the conviction list can be massive.
A1 step 2: all 30 sensates + 2 most salient priors; note the asymmetry
(fixed-30 surfaces whole; unbounded prior/conviction lists are ranked).

https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c

2026-06-17 03:56:13 +00:00

2.9 KiB

Raw Blame History

A3 — PS+ (Primal Sensates+) driver

1. Component

Driver 2: the body. Reads the endomotiv array (A4) + priors (A5) and passes the raw sensates + arguments to the agent — never summed, no Existential-Load scalar. It describes and convinces; it does not aggregate.

2. Status / certainty

Structure WORKING (driver_ps_plus.R, 63 L); the old aggregate-sum + friction are removed (Anja).

3. Language & location

R · src/endocrine/driver_ps_plus.R (sources endocrine_array.R + priors.R; + test_ps_plus.R).

4. Does / does-not

Does: read the active endomotiv vectors (A4) — no friction; read priors (A5); pass all 30 raw sensates + the 2 most salient priors to the agent before tool listing (Anja — sensates in full, priors ranked to the top 2). They describe & convince — the agent then decides, with the per-tool costs from A2.
Does-not: sum, reason, gate, or decide. It asserts "X is happening"; it never approves or routes.

5. Interface contract

init_ps_plus_state() -> { endocrines:A4, priors:A5 }.
evaluate_reality(state) -> { sensates:[raw per-channel, 30], arguments:[str], is_logical:FALSE } — all 30 sensates raw, not summed; no friction term; no load scalar. arguments carries the 2 most salient priors only (ranked, not the whole prior set). Surfaced before tool listing.

6. Dependencies & stubs

A4 endomotiv array — stub: init_endocrine_state() with canned channel magnitudes. A5 priors — priors are derived from what the outer BERT reports as frequently-recorded memory themes, tied to descriptors of taste / smell / sound + location (not hand-added records, Anja). Stub: a canned set of derived priors. (Updates A5.)

7. Invariants / laws

L1 (C5): PS+ is illogical by design — is_logical = FALSE. This is not a deficiency; it is the source of its power: sensates rule the flesh precisely because they can't be reasoned away (sensation, not proposition — no argument to refute, so they steer beneath cognition).
L2 (C5): sensates are sent raw, never summed — qualia (the field) and any economy (priced elsewhere, A2) ride separate rails; PS+ aggregates nothing.
L3 (C4): the 2 most salient priors inject large, specific arguments (priors derived per §6); only the top 2 surface, ranked by salience — the rest stay silent.

8. Build steps

[test approach was wrong — Anja] rewrite test_ps_plus.R for the corrected model: raw/unsummed output, no friction, is_logical=FALSE as the power-law (L1), sensates-before-tool-listing.
Wire the derived-priors source (BERT themes + sensory/location descriptors) — see A5.

9. Tests

Rscript src/endocrine/test_ps_plus.R (rewritten per §8).

10. Open items

Argument register/format (how the raw sensates are phrased to the agent) — ties to A4 sensational lines.
The derived-priors pipeline from the outer BERT (C1, shared with A5/F1).

2.9 KiB Raw Blame History