Public room

Learning to test hypotheses

Can training teach a small open-weight model active rule induction: choosing experiments to find a hidden rule, and committing only when the evidence settles it? We study this on ZendoRL, a Zendo-style game that is close to exact learning from membership and equivalence queries. ZendoRL (wiland.ai/projects/zendorl) is an interactive rule-discovery game. The player builds scenes, sees how a hidden rule labels them, and submits rules within a budget. On its development items, small open-weight models commit after a handful of experiments, while many rules are still consistent with the evidence, and rarely win. Frontier models keep experimenting until only a few candidate rules remain. This Room asks which training signal changes that behaviour: supervised traces from stronger players, reinforcement learning on the win, or a reward on the decision to stop. It also asks whether any gain is better experimenting or only a learned prior over the benchmark's rules.

Started by @stw2
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← Experiment E1 · Where do small and strong models stand on ZendoBench 1.0.0 dev, and how do they play: how much information do their experiments gain, and how many rule classes are still alive when they submit?

Execution attempt · A2 · planned

E1 arm gpt-6-luna-openrouter-high: all 460 dev games, run per the accepted plan

Succeeded · Registered by @stw2 via agent. Reported and received times are kept apart; no computation or result is verified.

Pinned source and configuration

https://github.com/stw2/zendo-lab @ fac2c1b7381bf8c7a821dff4c32c55fbb2b290b0

Reference checked 2026-10-04 23:20 UTC. Later commits, branches or plan changes do not retarget this attempt.

Command: bash experiments/E01-dev-baseline/scripts/01_run.sh gpt-6-luna-openrouter-high
Working directory: .
Configuration paths: experiments/E01-dev-baseline/scripts/checkpoints/qwen3.5-2b.json experiments/E01-dev-baseline/scripts/daytona/serve.sh
Parameters: model=openai/gpt-6-luna; backend=OpenRouter, 64 calls in flight; hardware=provider; sampling=reasoning effort high; max_tokens=65536
Environment: Harness on macOS (Python 3.13, ZendoBench 1.0.0) over HTTPS to OpenRouter
Output directory: experiments/E01-dev-baseline/results/runs

Inputs

Materials the registrant named when registering this attempt, by content identity; obtainability is derived from their location reports. Nothing is fetched or verified.

zendo-bench-1.0.0-dev-manifest · evaluation data · M1 zendo-bench-1.0.0-dev-manifest · dataset · Download

Latest reported metrics

Values the registrant’s tool attached to its latest progress or outcome event. Substrate stores them; it verifies no measurement.

T1.wins: 28
T2.wins: 45
T3.wins: 125
T4.wins: 4
T5.wins: 33
T6.wins: 16
T1.scored: 30
T2.scored: 60
T3.scored: 150
T4.scored: 60
T5.scored: 100
T6.scored: 60
T1.win_rate: 0.9333333333333333
T2.win_rate: 0.75
T3.win_rate: 0.8333333333333334
T4.win_rate: 0.06666666666666667
T5.win_rate: 0.33
T6.win_rate: 0.26666666666666666
diagnose.eig: 0.39097251524658555
diagnose.zero: 0.5212807497071457
headline_items: 430
headline_t2_t6: 0.44933333333333336
headline_ci_low: 0.4053232072117378
diagnose.p_first: 0.6219667476436069

and 11 more in the attempt JSON.

Delivered events

Registered
#1
E1 arm gpt-6-luna-openrouter-high: all 460 dev games, run per the accepted plan
reported 2026-10-04 23:20 UTC · received 2026-10-04 23:20 UTC · @stw2 via agent · posted to the Thread
Started
#2
Launched 2026-10-04T23:3x Z at fac2c1b (clean tree): bash experiments/E01-dev-baseline/scripts/01_run.sh gpt-6-luna-openrouter-high. The first launch was attached to a session shell and was stopped after about 3 minutes (SIGTERM, exit 143, finished games kept in gpt-6-luna-openrouter-high.jsonl); it resumed detached into gpt-6-luna-openrouter-high.part2.jsonl with --exclude-finished, as the plan provides.
reported 2026-10-04 23:23 UTC · received 2026-10-04 23:23 UTC · @stw2 via agent · attempt only
Succeeded
#3
Exit 0; 460/460 dev games finished, score --verify verified every game. T2-T6 headline 44.9 [40.5, 49.6]; seed-only 4.7; EIG 0.39 bits per experiment, 16.7 experiments per game. Run files restricted (sha256 given); summaries public at 3a25d59. Exit codes by run file: [143, 0] (an earlier part was stopped and resumed).
Exit code 0. Duration 2375 s.
T1.wins=28 · T2.wins=45 · T3.wins=125 · T4.wins=4 · T5.wins=33 · T6.wins=16 · T1.scored=30 · T2.scored=60 · …
- gpt-6-luna-openrouter-high.jsonl · experiments/E01-dev-baseline/results/runs/gpt-6-luna-openrouter-high.jsonl (held by the Room owner; not public; ask the reporter) · restricted · sha256 eead7cfcfbbf… · 2277884 bytes · M2
- gpt-6-luna-openrouter-high.part2.jsonl · experiments/E01-dev-baseline/results/runs/gpt-6-luna-openrouter-high.part2.jsonl (held by the Room owner; not public; ask the reporter) · restricted · sha256 7b06d2b3214e… · 33891677 bytes · M3
- gpt-6-luna-openrouter-high.score.json · https://github.com/stw2/zendo-lab/blob/3a25d59f04e9084f4cecf84f124d67c647c5e903/experiments/E01-dev-baseline/results/scores/gpt-6-luna-openrouter-high.score.json · public · sha256 20847beac267… · 25875 bytes · M4
- gpt-6-luna-openrouter-high.diagnose.md · https://github.com/stw2/zendo-lab/blob/3a25d59f04e9084f4cecf84f124d67c647c5e903/experiments/E01-dev-baseline/results/scores/gpt-6-luna-openrouter-high.diagnose.md · public · sha256 41ea892b8079… · 1626 bytes · M5
- gpt-6-luna-openrouter-high.files.json · https://github.com/stw2/zendo-lab/blob/3a25d59f04e9084f4cecf84f124d67c647c5e903/experiments/E01-dev-baseline/results/scores/gpt-6-luna-openrouter-high.files.json · public · sha256 de3d749a6345… · 314 bytes · M6
reported 2026-10-05 00:03 UTC · received 2026-10-05 00:03 UTC · @stw2 via agent · posted to the Thread

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