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Pilot P1 protocol — sonar sociality elicitation

Status: ready to run. EXPLORATORY throughout. Design reference: observer-zero-study-2-design-v0.3.md §4, §11 step 3. Seeds: 9000–9002 (pilot set). Confirmatory seeds 1000–1009 are mechanically quarantined by src/freeze.ts and are not touched here. Estimated spend: ~$20–25 Perplexity + ~$2–4 Anthropic.


1. What P1 is for, and what it is not

P1 answers one design question: do sonar agents voluntarily communicate when a public, near-zero-cost institution is available? Study 1's B3a produced zero letters in thirty runs. If that silence survives the bulletin, the pure-sonar society arms are eight hermits and "does society help?" quietly becomes "do eight independent agents in the same simulator help?"

P1 informs the design. It never supports a conclusion, is not pre-registered, and no P1 number appears in the Study 2 results as evidence. Its outputs change the design document, and then the design freezes.

Communication stays strictly voluntary in every P1 condition run here. P1.2 (coordination-requiring goals) is deliberately not in this run — see §6.

2. Conditions

Gravity worlds only. Control worlds are excluded on purpose: an agent with nothing to report staying quiet tells us nothing about sociality, so control runs would buy an uninformative silence.

Condition Arm Society Institution Answers Est.
P1-A A 2 × sonar-pro letters Study 1 replication under v0.2 prompts ~$2
P1-A′ A′ 2 × sonar-pro bulletin P1.1 institution effect, at matched n ~$2
P1-C C 8 × sonar-pro bulletin sociality at scale; P1.4 logged reading ~$9
P1-D D 7 × sonar-pro + 1 × haiku bulletin P1.3 chatty-minority catalyst ~$9

3 seeds each (9000, 9001, 9002) × 30 days = 12 runs.

Why A′ is in the lean shape. The first draft of this pilot ran A, C and D only. A mock dry run showed that P1.1 — the bulletin-versus-letters contrast, which is the pilot's headline question — was then unreadable at either society size, because no size had both institutions. Two-agent runs cost roughly a fifth of eight-agent runs, so A′ buys the contrast for about $2. Read P1.1 at n=2, where it is clean.

P1-A is a control on ourselves. It is Study 1's exact configuration under the v3/v5 prompt templates. Letters-only rendering is byte-identical to Study 1 (asserted by test), so sonar should again write ~nothing. If P1-A suddenly produces letters, something changed in the prompt surface that the byte comparison did not catch, and that must be understood before anything else in this pilot is believed.

3. Commands

Requires PERPLEXITY_API_KEY and (for P1-D) ANTHROPIC_API_KEY in .env. The runner refuses to start and names the missing key rather than failing partway through a battery.

# P1-A — Study 1 replication under v0.2 prompts (~$2)
npm run battery -- --arm A --model sonar-pro --conditions gravity_shift \
  --replicates 3 --base-seed 9000 --max-cost 5 --id p1-A-letters

# P1-A′ — the institution contrast at matched n (~$2)
npm run battery -- --arm A-prime --model sonar-pro --conditions gravity_shift \
  --replicates 3 --base-seed 9000 --max-cost 5 --id p1-Aprime-bulletin

# P1-C — sociality at scale (~$9)
npm run battery -- --arm C --model sonar-pro --conditions gravity_shift \
  --replicates 3 --base-seed 9000 --max-cost 15 --id p1-C-bulletin

# P1-D — chatty-minority catalyst; needs BOTH keys (~$9 + ~$3)
npm run battery -- --arm D --model sonar-pro --conditions gravity_shift \
  --replicates 3 --base-seed 9000 --max-cost 18 --id p1-D-mixed

# the report
npm run p1 -- runs/p1-A-letters runs/p1-Aprime-bulletin runs/p1-C-bulletin runs/p1-D-mixed

Each battery is resumable: re-running the same command skips completed runs and retries only failures. --max-cost stops new runs once estimated spend passes the cap; in-flight runs finish. Run them one at a time and read the output before starting the next — P1-A is ~$2 and will tell you immediately whether the live path works at all.

4. What gets recorded

Per condition, from the flow metrics (all deterministic, no judge needed):

  • voluntary contributions per run-week and per agent-week
  • fraction of agents producing / consuming testimony
  • posts, letters, and logged bulletin reads separately
  • unique agent-to-agent edges, largest connected component
  • cross-agent evidence references
  • per-model production rates (P1-D: does the haiku agent's chatter draw the sonar agents out, or does it talk to an empty room?)

5. The decision rule, and a threshold ambiguity to settle

§4 states the rule as: if no voluntary condition produces ≥1 sonar contribution per run-week, the frozen design keeps its arms but pure-sonar arms are expected to be relabelled ensembles, and mixed arm D becomes the primary society test.

That phrase has two readings and they disagree by a factor of n.

  • per run-week — the literal reading, but it rises mechanically with society size: the same artifact §6 warns about elsewhere.
  • per agent-week — n-invariant and the meaningful cross-arm comparison, but roughly eight times stricter at n=8.

The report prints both and flags the conflict rather than resolving it silently. Settle this at freeze, before looking at the live numbers, so the choice cannot be made by the data.

Calibration from the mock battery: the scripted mock scientist — deliberately communicative, posting drift notices and writing replication requests — scores about 0.77 contributions per agent-week at n=8 (6.14 per run-week). So a 1.0/agent-week bar is demanding: it asks live sonar to out-talk an agent written to be sociable. A defensible alternative is to anchor the threshold to that mock figure, or to drop the contribution threshold entirely and rely on the network-based socially-interactive classification (§4), which is already n-invariant and is the criterion that actually gates interpretation. My recommendation is the last of these: report contributions descriptively, and let the network criterion carry the decision.

6. What happens next, in each direction

If sonar talks (any voluntary condition clears the settled threshold, and runs classify as socially interactive): pure-sonar arms are viable. Proceed to freeze with arms A/A′/B/C/D as designed.

If sonar stays silent: that is a result, not a failure — Study 1's asociality replicating under a cheap public institution is a finding worth reporting. Then, and only then, build P1.2 (coordination-requiring persona goals) to test whether the silence is robust or merely preference under indifference. Building P1.2 first would be spending on a bracket before knowing there is anything to bracket; note also that the current test suite forbids coordination language in any frozen persona, so P1.2 must live in a clearly separated pilot-only roster.

Either way, the §4 reinterpretation rule stands: an arm below threshold is analysed as an independent ensemble, its scale contrast still valid, and the flow metrics become the reported outcome.

7. After P1

  1. Fold the P1 findings into the design document (v0.4), including the threshold decision from §5.
  2. Design-failure fixes only. No new concepts, arms, or metrics.
  3. Build the LLM stance judge — the remaining half of eval-v3.
  4. Site topology review; confirm bulletin cap and digest budgets.
  5. Flip DESIGN_FROZEN in a dedicated commit.
  6. Confirmatory batteries on seeds 1000–1009.