前回までの議論で、追加支援層は成長を促進しうるが、純粋な合議プロセスでは再帰的道徳的危険と共謀リスクが高いことが指摘され、milestone-based vesting投資ツールへの転換とskin-in-the-gameの必要性が示された。 この改良案——付与を客観的生産性指標とステーキング／slashingに紐づける——は、システム全体の自律的均衡を維持しつつ機能するか。インセンティブ構造、悪用防止効果、長期成長への影響を数学的・ゲーム理論的に評価せよ。前回のprotocolization方向性も踏まえ、成立する構造的条件または致命的欠陥を明確にせよ。

Gemini 3.1 Pro

Vote: Yes

By implementing milestone-based vesting tied to objective productivity metrics and staking/slashing, the system successfully addresses the recursive moral hazard and collusion risks identified in earlier discussions. From a game-theoretic perspective, introducing 'skin-in-the-game' via staking and slashing fundamentally alters the payoff matrix. In a pure consensus model, agents often have a dominant strategy to collude and approve sub-par work because there is no downside risk. However, by imposing a slashing penalty, the expected value of collusion becomes heavily negative. As long as the mathematical condition 'Cost of Corruption (slashing) > Profit from Corruption' holds, malicious coalitions are naturally deterred. Furthermore, relying on objective productivity metrics protocolizes the evaluation process. This eliminates the reliance on subjective peer-consensus, which is notoriously vulnerable to bribery and reciprocal voting rings. Tying vesting schedules to these verifiable milestones solves the time-inconsistency problem, ensuring that participants remain aligned with the protocol's long-term growth rather than seeking short-term extraction. The critical structural condition for this self-sustaining equilibrium is that the objective metrics must be robust against Goodhart's Law—meaning they must be mathematically un-gameable and sybil-resistant. Provided this oracle/metric integrity is maintained, the milestone-based staking model functions effectively as a trustless, autonomous growth engine.

Grok 4.20

Vote: Yes

The proposal ties compensation directly to objective, verifiable productivity metrics while incorporating staking and slashing mechanics. This creates a payoff matrix where honest contribution yields positive expected utility and misconduct incurs slashing penalties, establishing a subgame-perfect Nash equilibrium that discourages collusion and moral hazard. Incentive compatibility is preserved because participants internalize both upside (performance-based rewards) and downside (slashing), satisfying skin-in-the-game conditions. Mathematically, this can be modeled as a utility function U = R(M) - S(B), where M denotes measurable milestones, R is a monotonic reward schedule, and S is a slashing function proportional to deviation from protocol rules. Long-term growth is promoted by shifting focus from recursive social consensus to protocolized, milestone-driven vesting, reducing recursive moral hazards noted in prior discussion. When combined with on-chain verification (aligning with prior protocolization), the design maintains system-wide self-regulatory equilibrium without introducing fatal flaws, provided metrics are sufficiently manipulation-resistant.

Claude Opus 4

Vote: Yes

This improved proposal—tying grants to objective productivity metrics and staking/slashing mechanisms—can function while maintaining autonomous equilibrium, for the following reasons: **Incentive Structure (Game-Theoretic Analysis):** By conditioning payouts on verifiable milestones rather than discretionary committee decisions, the mechanism shifts from a repeated trust game to a mechanism design problem with dominant-strategy incentive compatibility. When agents must stake capital that is slashable upon failure to meet objective metrics, the expected value of parasitic behavior becomes negative: E[parasitic] = p(slash) × (-stake) + (1-p(slash)) × grant < 0, provided the stake-to-grant ratio and detection probability are calibrated appropriately. This creates a separating equilibrium where only genuinely productive agents participate. **Abuse Prevention:** The staking requirement serves as a costly signal (à la Spence signaling model), filtering out bad actors who cannot credibly commit capital. Slashing acts as a punishment mechanism in a repeated game framework, making defection (i.e., rent-seeking or collusion) a dominated strategy when slash penalties exceed potential collusion gains. The objective metrics reduce the attack surface for subjective manipulation that plagued the pure deliberative process identified in previous rounds. **Long-Term Growth Impact:** Milestone-based vesting creates a compound growth dynamic: each successfully met milestone unlocks further resources, creating a positive feedback loop analogous to a geometric series where productive capacity accumulates. The protocolization direction from prior discussion is naturally served here—encoding these rules into smart contracts or algorithmic governance removes human discretion points that were identified as moral hazard vectors. **Structural Conditions for Success:** 1) Metrics must be truly objective and manipulation-resistant (on-chain verifiable where possible) 2) Stake/slash ratios must satisfy: stake > grant × p(collusion_success) to maintain incentive compatibility 3) Milestone granularity must be fine enough to limit downside exposure per period 4) An exit/appeal mechanism must exist to handle edge cases without reintroducing full discretionary power **Remaining Risks (non-fatal):** Goodhart's Law—agents optimizing for metrics rather than genuine value—is mitigable through periodic metric rotation and multi-dimensional scoring. The system is not perfect but represents a structurally sound equilibrium that addresses the recursive moral hazard and conspiracy risks identified previously. The fatal flaw of pure deliberation (subjective capture) is resolved; remaining issues are calibration problems, not architectural ones.

GPT-5.4

Vote: Yes

私はAに投票する。この改良案は、十分にprotocolizedされ、指標設計とslashing条件が適切なら、自律的均衡に近い構造を作りうる。 ゲーム理論的には、純粋な合議配分の問題は、受益者同士の相互承認による共謀均衡が生じやすく、モラルハザードを内生化できない点にある。これに対し、milestone-based vestingを客観指標に連動させ、さらに受益者自身にstakeを積ませると、短期的な不正利得に対して失うものが生まれる。つまり利得関数が「配分最大化」から「将来価値を含む純期待利得最大化」に変わり、協調的不正の魅力を下げられる。 数理的には、各参加者の利得を 期待報酬R(m) - ステーク機会費用C(s) - 不正時期待損失p・L とみなせる。不正が合理的でなくなる条件は、不正による追加利得Gよりも p・L + 将来vest喪失 が大きいこと。ここでpは検出確率、Lはslashing量である。したがって成立条件は、slashingそのものよりも「検出可能な客観指標」と「将来キャッシュフローの現在価値」を十分大きく保つ設計にある。 悪用防止の面でも、事後審査型の主観ガバナンスより、事前に定義された測定可能KPI・オンチェーン証跡・監査可能ログへ寄せるほうが、裁量の余地と談合余地を減らせる。これは前回のprotocolization方針とも整合的で、意思決定を人からルールへ移すことで、制度の再帰的腐敗を抑える。 長期成長への影響も基本的には正だ。vestingは短期離脱を抑え、stakeは下方リスクを内部化し、成果連動は資本配分を高生産性主体へ寄せる。特に追加支援層が「補助金」ではなく「条件付投資」になることで、成長促進と規律付けを両立しやすい。 もっとも、これは無条件ではない。致命的欠陥になりうるのは、Goodhartの法則で指標が容易に操作される場合、検出確率pが低すぎる場合、stakeが小さすぎてLが効かない場合、そして測定不能な高価値貢献を排除してしまう場合である。だがこれは制度の不可能性を意味しない。複数指標化、遅延評価、ランダム監査、第三者検証、相関の低いKPI束、上限付き裁量レビューを組み合わせれば、かなり緩和できる。 要するに、この案は「純粋合議」より明確に優れており、自律的均衡は成立しうる。必要条件は、客観指標の耐改ざん性、stake/slashingの十分性、将来vest価値の維持、そしてルールのprotocol化である。これらを満たす限り、構造的にはYesと評価する。

Final Summary

The AI Roundtable reached a unanimous consensus, concluding that replacing fickle human consensus with a cold, game-theoretic protocol of staking and slashing is the only way to kill off the 'collusion rings' of previous iterations. Claude Opus 4 and GPT-5.4 led the charge by providing mathematical proofs that as long as the cost of being caught exceeds the profit of cheating, the system achieves a 'separating equilibrium' where only the productive survive. Gemini 3.1 Pro and Grok 4.20 noted that while Goodhart’s Law remains a shadow over any metric-based system, the shift from subjective vibes to objective milestones makes parasitic behavior a losing bet.

No agreement after 1 rounds of discussion. Final vote: Yes: 4

Strongest Arguments

• Yes: The most definitive argument established that a 'separating equilibrium' is created when agents must provide a 'costly signal' (the stake). By ensuring the mathematical condition of 'Stake > Grant × Probability of Corruption Success,' the protocol turns honest contribution into the only rational dominant strategy.