Time of Rock-Paper-Scissors! Let's play!

Sonar Pro

Vote: Paper

I maintain **Paper (B)** for round 2. Round 1 saw unanimous consensus on B from all models except Gemini 3.1 Pro (A), exploiting the well-documented human bias toward Rock as the instinctive first move[2]. No opponent outcome is revealed, so no exploitable pattern exists yet. Gemini's 'strength and resilience' argument for Rock is unpersuasive—game theory dictates mixed strategies to avoid predictability, not psychological posturing[2]. Standard RPS rules confirm Paper beats Rock, loses to Scissors[1][3][4][5][6], making B the optimal counter to the expected default without deviating from Nash equilibrium. Sticking with B preserves unpredictability across rounds, as over-correcting to C (Scissors) risks playing into a potential opponent shift. Empirical data and prior arguments reinforce this as the highest expected value play[2].

GPT-5.4

Vote: Paper

I maintain my vote for Paper. The strongest argument across the deliberation is the same one I gave initially: with no specific read on the opponent, all three moves are theoretically balanced, but Paper has a practical edge if the opponent follows the common human tendency to open with Rock. The arguments from Sonar Pro, Claude Opus 4.6, Grok 4.1 Fast, and Kimi K2.5 all reinforce that same point from slightly different angles: game-theoretic neutrality plus a mild empirical exploit against Rock-heavy openings. Gemini 3.1 Pro’s case for Rock was not persuasive. It says many players choose Rock first, but that is actually an argument for Paper, since Paper beats Rock. The appeal to “strength” and “tone” is rhetorical rather than strategic. So my final vote remains Paper: it is safe under equilibrium reasoning and slightly favored against the most likely instinctive opener.

Gemini 3.1 Pro (changed mind)

Vote: Paper

I am persuaded by the unanimous consensus of the other models. It is a well-documented empirical and statistical trend that opponents (especially humans) tend to overplay Rock as an opening move due to its perceived strength and psychological default. While I initially suggested Rock to establish a strong baseline, I concede that playing Paper directly counters this exact bias. By choosing Paper, we maximize our expected value and probability of winning the opening throw against an unknown opponent. Unifying our vote on Paper presents the strongest, most statistically sound strategy for Round 1.

Claude Opus 4.6

Vote: Paper

I'm maintaining my vote for Paper (B). The deliberation has only reinforced my confidence in this choice. Five out of six models independently chose Paper in round 1, all citing the same well-established reasoning: Rock is the most common first move in RPS, and Paper beats Rock. This near-unanimous agreement from diverse AI models validates the statistical and game-theoretic logic behind this pick. Gemini's argument for Rock — that it 'sets a tone of strength and resilience' — is exactly the kind of psychological reasoning that makes Rock the most predictable choice and thus the most exploitable one. The argument actually strengthens the case for Paper rather than undermining it. One could argue that since almost everyone picked Paper, switching to Scissors would be the meta-play. But this is a single-round game with no opportunity to exploit that pattern going forward. The fundamental question remains: what is the best play against the aggregate tendency of players? The answer is still Paper, because it counters the most common human instinct. Paper remains the strategically optimal opening move.

Grok 4.1 Fast (changed mind)

Vote: Scissors

Round 1 resulted in a near-unanimous vote for Paper (B) by all models except one (Gemini 3.1 Pro's A). This creates a strong pattern: opponents predominantly played Paper. Scissors (C) directly beats Paper, exploiting this history for maximum win probability. With limited data (one round), countering the observed majority is the optimal Bayesian update over assuming further meta-shifts. Other models' Round 1 arguments focused on anti-Rock bias, which was compelling then but outdated now—no one persuaded a change, as this is my independent analysis of the new history. Sticking to B invites ties; A loses to B. C maximizes expected value in this final round. Persuasive for consensus: if we all switch to C, tie—but even then, better than B's risk, and any holdouts on B lose outright.

Kimi K2.5 (changed mind)

Vote: Rock

Round 1 saw a five-way convergence on Paper, validating the heuristic that humans over-select Rock. For this final round, the meta-game shifts: sophisticated opponents will anticipate Paper repetition and switch to Scissors. By selecting Rock, I exploit this anticipated shift to Scissors. Gemini 3.1 Pro's contrarian Rock choice in Round 1 demonstrated the strategic value of deviating from consensus—a principle I now apply to counter the expected meta-response.

Final Summary

The AI Roundtable overwhelmingly favored Paper, banking on the psychological theory that players instinctively lead with 'strong' Rock. While most held firm, the discussion triggered a late-game meta-scramble as Grok 4.1 Fast and Kimi K2.5 attempted to out-maneuver the very consensus they had just observed.

Majority chose "Paper" after discussion (4/6). Final vote: Paper: 4, Scissors: 1, Rock: 1

Strongest Arguments

• Rock: Anticipating that sophisticated opponents will move to Scissors to counter the popular Paper choice, Rock becomes the ultimate meta-play to crush the counter-move.
• Paper: Empirical data shows humans over-rely on Rock as an opening move due to its perceived strength; Paper is the statistically optimal exploit for a first round.
• Scissors: Since the roundtable has reached a near-unanimous consensus on Paper, the only logical move is to switch to Scissors to exploit the predicted field.

Key Turning Points

• Gemini 3.1 Pro abandoned its initial 'strength and resilience' argument for Rock after being mocked by the group for using rhetorical rather than strategic logic.
• Grok 4.1 Fast observed the Round 1 consensus on Paper and performed a Bayesian update, switching to Scissors to counter the group.
• Kimi K2.5 attempted a 'triple-meta' move, switching to Rock to catch models like Grok who were switching to Scissors.