Method · actionable blueprint

How to build the game.

A requirement is a board. The contract defines legal play. The referee decides what worked.

Start with the output thesis

A requirement is a board. The contract defines legal play. The referee decides what worked.

state → legal action → external consequence → preserved experience.

The proposed output changes from an answer or score to an independently runnable method. The learning target is the distribution of later executable proposals across requirements.

Decide where search belongs

Where search occurs

Search now. Learn for later. Or combine both.

Current requirement

AutoResearch improves through a proposal–execution–inspection–retry loop on the current requirement.

Across requirements

Move42 aims to improve the proposal distribution across requirements, so the first executable move itself becomes learnable.

Hybrids remain possible; the distinction is where search occurs and what persists between tasks.

Evidence boundary. The current record does not measure superiority over research agents, task-time speedup, or an admitted prospective strict first move.

Build all five parts

  1. 01

    Board

    The requirement plus every permitted input, state transition, and resource boundary.

    Encode the requirement and permitted state before any proposal is made.
  2. 02

    Move

    One complete executable algorithm whose outputs can be independently reproduced.

    Define the runnable artifact, interface, and terminal outputs that count as a move.
  3. 03

    Rules

    The legality contract that rejects shortcuts, leakage, hidden state, and invalid resources.

    Close shortcut and leakage paths before play, then make every violation an explicit failure.
  4. 04

    Referee

    An external consequence-based evaluator that executes the move and records success or a named failure.

    Build the referee outside model self-assessment and bind its identity to every outcome.
  5. 05

    Memory

    Canonical success and failure receipts that can supervise later proposals across requirements.

    Preserve receipts, train later proposals, and separately freeze a true one-proposal prospective evaluation.
A method that cannot execute under the declared contract is not a legal move.

Implementation sequence

  1. Encode the requirement and permitted state. Freeze inputs, interfaces, resources, transitions, and everything the proposal may observe.
  2. Define the executable move. Require one complete independently runnable method with reproducible terminal outputs.
  3. Close shortcut and leakage paths before play. Reject hidden state, contamination, invalid resources, and contract violations as named failures.
  4. Build an external consequence-based referee. Parse, execute, measure, and preserve explicit failures outside model self-assessment.
  5. Preserve memory, then freeze evaluation separately. Bind canonical success and failure receipts, train later proposals, and predeclare a true one-proposal prospective study.

How receipts become training

The program executes outside the differentiable model. Its score, rank, runtime, stability, resource use, and failure state return as stored supervision. Gradient updates happen afterward; frozen validation decides whether the later challenger persists.

Evaluation boundary

Historical top-one evidence does not establish prospective one-proposal performance. That study must predeclare its cohort and proposal budget, preserve all failures, match hardware and timing, freeze comparators, and prohibit task-time retry in the evaluated lane.

What could become a game?

Vision · Compiler game

Board
A source program, target semantics, architecture, and optimization contract.
Move
A complete transformation or optimization algorithm that produces executable output.
Referee
Correctness suites, resource limits, and consequence-based performance measurements.

A design horizon, not a finding of the current regression study.

Vision · Control game

Board
A control requirement, observable plant state, hard constraints, and permitted actuators.
Move
A complete control algorithm that can be executed against the declared interface.
Referee
Constraint violations, stability, resource use, and measured physical consequence.

A design horizon, not evidence of autonomous control performance.

Vision · Experimental game

Board
An apparatus, measurement protocol, budget, safety envelope, and experimental objective.
Move
A complete executable experiment schedule and analysis method.
Referee
Predeclared measurements, explicit failure outcomes, and independently preserved receipts.

A design horizon, not an experimental result reported here.

Vision · Scientific-design game

Board
A scientific question, admissible evidence, interventions, and falsification criteria.
Move
A complete executable design for collecting and analyzing the next evidence.
Referee
Preregistered consequence tests that can reject as well as support the proposed method.

A design horizon, not a claim of causal or scientific discovery.

Compare Move 37 and Move42 · Inspect recorded moves · Open audit receipts