- A3 PS+: no aggregate sum, sensates sent RAW to the agent before tool listing; friction removed; is_logical=FALSE reframed as the SOURCE of power (illogic = why they rule the flesh), not a deficiency; priors derived from the outer BERT's frequent memory themes tied to taste/smell/sound + location. - A4 endomotiv: drop friction/contradictory-pairs (chemistry carryover); channels are independent modulators; sensates describe & convince, only the agent decides. - A2 Energy: not "finitude" (no depletion-unto-death); per-tool energy cost + per-tool lockout scale replaces the global threshold. - A1 hub: evaluate/approve model flagged inaccurate (agent decides, drivers describe/convince + price); hub language to reassess; consider Fortran/C for the R<->Ada bridge. https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c
3.1 KiB
A1 — Drive-Box hub / input-slot
1. Component
The Drive-Box nervous-system wiring: assembles the four drivers (A2 E, A3 PS+, A6 Eth-Int, A8 ETR) + tarot/SOUL into one input slot (a hub, not a chain) and exposes the read-only snapshot the inference cycle pulls at step 2.
2. Status / certainty
Structure WORKING (drive_box.R, 158 L). Aggregation logic C3; the numbers inside the drivers
are disowned (see each driver spec). The evaluate/commit model below is flagged inaccurate — §7.
3. Language & location
R · src/endocrine/drive_box.R (sources the drivers + endocrine_array.R + priors.R).
[TO REASSESS — Anja]: the hub's language/location is not settled; R is current but under review.
4. Does / does-not
- Does: init the whole box; produce
drive_snapshot()(raw sensate field + per-tool cost terrain, read-only); assemble thedrive_box_input_slot()injection block surfaced to the agent. - Does-not: decide — the drivers describe, convince, and price; only the agent decides. It does not route or police (Ada D1) or persist (storage E*).
5. Interface contract
init_drive_box() -> state{ energy, ps_plus, principles, etr }.drive_snapshot(state) -> { e_level, raw_sensates[30], arguments[], per_tool_costs, etr_coord, etr_status }— surfaced to the agent (sensates passed before tool listing, A3); raw, never summed.drive_box_commit(state, chosen_action) -> state'— applies the chosen tool's energy cost + conviction effects.drive_box_input_slot(state) -> text block(drivers + tarot lenses + SOUL.md, assembled concurrently).- [FLAGGED inaccurate — Anja]: the old
drive_box_evaluate(action) -> {approved,…}approve-gate is wrong — the box doesn't approve actions. To be reworked into "surface terrain → agent decides → commit."
6. Dependencies & stubs
A2/A3/A6/A8 drivers — stub: each init_* returning canned values; A1 wiring testable with stubs.
Tarot (B1) for the input-slot lenses — stub: identity (no lens).
7. Invariants / laws
- L1 (C4): the slot is a hub — all drivers + tarot + SOUL write concurrently, none subordinated.
- L2 (C4):
drive_snapshotis read-only (no driver state mutates on a snapshot). - L3 (FLAGGED — inaccurate per Anja): there is no serial PS+→Eth-Int→Energy→ETR evaluate/approve pipeline. Only the agent decides; drivers describe/convince + price. The evaluate/commit model is to be reworked.
8. Build steps
- Rework the decision model (drivers surface terrain → agent decides → commit) before freezing contracts.
- Freeze the corrected snapshot/slot contracts (§5) as tests in
test_drive_box.R. - Add the R↔Ada bridge later — see C3 / D2 and §10.
9. Tests
bash src/endocrine/run_tests.sh (runs test_drive_box.R + driver tests). Update once the decision model is reworked.
10. Open items
- Decision-model rework (agent-decides, not box-approves).
- R↔Ada/medium bridge transport — consider Fortran or C for it (Anja) (C1/C3/D2).
- Hub language/location reassessment (Anja). Input-slot text format depends on B1.