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
A6: add top_convictions(convictions, x) to §4/§5, X as open item (C1).
A1: step 3 + input-slot contract updated; flag that drive_box.R:142 loops
all principles and must emit top X only.
https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c
The existential stress is handled by ETR (A8); ETR's surfaced state must
read as the extremely convincing prompt injection that hardens Eth-Int
conviction and steers without gating. Step 3 + F3 reach updated (A8 in,
A4-stress-channel emphasis out).
https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c
- F1: keep pure price_action() AND show cost of valid tools in listing.
- F5/L4: text agent can't see colour — locked tool NAME is replaced in-band
by the lock token [====L⍉¢K€D ϟ ∅ΩΤ====] {{E≠*min*}}; mirror in A2.
- F3: Eth-Int conviction calibrated by chosen actions + kept memories,
hardened by existential stress; propagates to A6/A4/E2-E3/G1.
- L5: stress is itself an extremely convincing prompt injection (A3-L1 force).
- F2 (commit shape) left open per 'idk'.
https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c
- 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
