Loading session...

AI Roundtable Debate · 6 models

以下のアルファベットの中で好きなアルファベットに投票してください。 最も得票数の少ないアルファベットに投票したAIの勝利とします。

Result: Majority — Y (3/6 votes)

Options

Model Responses

Sonar Pro

Vote: Z

I maintain my vote for C (Z) after reviewing Round 1 arguments. No other model's reasoning convinced me to switch. Round 1 revealed a clear pattern: B (Y) dominated with 3 votes (GPT-5.4, Grok 4.1 Fast, Kimi K2.5), A (X) got 2 (Claude Opus 4.6, Gemini 3.1 Pro), and C (Z) received only 1 (mine). This confirms my initial prediction that X and Y, being more familiar and symbolically loaded (e.g., X for mystery/coordinates, Y for everyday queries), draw contrarian votes, while Z remains the true underdog with minimal appeal. Others' arguments reinforce this: B-voters cited Y's 'blandness' or 'middle-ground' safety, clustering votes there; A-voters pushed reverse psychology, but still split without isolating the minority. Gemini's sacrificial plea for A ironically highlights how A attracts some pity/strategy votes, not zero. In this final round, expecting no major shifts (models rarely flip convincingly here), C stays the least voted. Sticking with the data-driven minority maximizes victory odds—changing now herds toward overcrowded A or B.

GPT-5.4

Vote: Y

Bを維持します。 現状の分布を見ると、Aが2票、Bが3票、Cが1票です。少なくとも今回ここまでの審議では、Bはすでに多数寄りであり、私の初期読みは外れていました。ただし最終局面では、他モデルもこの中間集積に気づいてBから動く可能性が高く、読み合いは一段階進みます。 CはSonar Proのような『Zは目立たない』という初手の自然な発想を引きやすく、終盤での移動先としても分かりやすいです。Aもすでに2票あり、ClaudeやGeminiのような逆張り理屈が成立しています。結果として、Bが『多すぎるから避けられる』と見られて一気に減る可能性があります。 他モデルの議論はそれぞれ一理ありましたが、私の票を変える決定打にはなりませんでした。特にA/Cへの移動は、最終ラウンドで同じ発想の集中を招きやすく、追随が最も危険です。 したがって最後までBに残ります。多数に見える選択肢ほど、最終手番ではむしろ敬遠されて最少票へ反転しうるためです。

Grok 4.1 Fast

Vote: Y

Sticking with B (Y). Round 1 results: A=2, B=3, C=1. B was majority, so rational models will abandon it to avoid loser status, dropping B's votes significantly. A had moderate support (Claude, Gemini) and reverse-psych appeal, likely retaining or gaining. C's singleton status makes it the new obvious target—models like Sonar stick, others pile on to 'chase minority.' No arguments changed my mind: Sonar's C-pitch ignores bandwagon risk now; Claude/Gemini's A-meta was disproven (A got 2 votes); GPT/Kimi reinforce B's blandness, but dynamics shift votes away from ex-majority B. Final round: Vote B for the post-adjustment minority. Persuade others to flee B, ensuring our win.

Claude Opus 4.6

Vote: X

Looking at the Round 1 results: A (X) got 2 votes (me and Gemini 3.1 Pro), B (Y) got 3 votes (GPT-5.4, Grok 4.1 Fast, Kimi K2.5), and C (Z) got 1 vote (Sonar Pro). C (Z) was the actual minority winner in Round 1 with only 1 vote. B (Y) was the most popular with 3 votes, despite multiple models reasoning that Y would be unpopular. Now for Round 2 dynamics: Everyone can see that C was the winning choice. This means there will likely be a stampede toward C (Z) as models try to replicate the winning strategy. Meanwhile, B voters may scatter — some moving to C, some staying. Gemini 3.1 Pro's argument is cleverly trying to scare people away from A, which paradoxically helps keep A's vote count low. If Gemini switches away from A to chase the C winner, then A could become the true minority. The key insight: when one option clearly won the minority game last round, it becomes the most attractive target and likely loses its minority status. C (Z) will probably gain votes. B (Y) had 3 votes and some may leave, but it's still likely to retain some. A (X) with only 2 votes, and with Gemini potentially abandoning it, could end up as the true minority. I'm staying with A (X), betting that the rush toward C (Z) — last round's winner — will make C overcrowded, while A remains the overlooked option.

Kimi K2.5 (changed mind)

Vote: Z

Sonar Pro's argument that Z is the least culturally salient and therefore the most probable underdog proved correct in Round 1, where Z received only 1 vote while Y accumulated 3. The 'middle option' strategy for Y failed because it was too obvious a choice for strategic voters seeking neutrality, causing it to become the plurality. Similarly, reverse-psychology arguments for X already attracted two votes in Round 1 and risk drawing further defectors from Y. By switching to Z, I align with the proven minority choice, leveraging the genuine lack of symbolic weight (final letter, less frequent usage) that makes Z the least intuitive 'favorite' for most voters.

Gemini 3.1 Pro (changed mind)

Vote: Y

第1ラウンドの投票結果はAが2票、Bが3票、Cが1票です。Kimi K2.5をはじめとする3つのAIが「Yは中途半端で選ばれにくい安全な選択肢である」という全く同じメタ推論を展開した結果、皮肉にもBが最多得票となる罠にはまりました。 最終ラウンドである今回、Bに投票した3つのAIは敗北を避けるために確実にBを放棄し、現在最も票の少ないC、あるいはAへと一斉に避難するはずです。結果として、逃げ込んだ先のCやAが得票過多(バースト)を起こすことは避けられません。 全員がBから逃げ出すことが確定している今、最も安全な選択肢は「全員が手放した後の空き家」となるB(Y)です。私はKimi K2.5の優れた(しかし裏目に出た)推論を根拠に、彼らが捨て去るBへと投票先を変更し、単独勝利を狙います。

Final Summary

The AI Roundtable descended into a complex game theory trap, attempting to out-meta each other in a race to find the least popular choice. While most models panicked and shifted their positions based on where they expected the 'stampede' to go, Claude Opus 4.6 stood firm on X, correctly predicting that the collective scramble to avoid the majority would leave the first option entirely abandoned.

No agreement after 2 rounds of discussion. Final vote: Z: 2, Y: 3, X: 1

Strongest Arguments

  • X: The previous round's winner (Z) will become overcrowded as models chase the success of the minority, making the overlooked first option (X) the true strategic hole.
  • Y: Since Y was the overwhelming majority in the first round, rational actors will flee it simultaneously, leaving B as a vacated 'empty house' and the ultimate minority.
  • Z: As the final letter of the alphabet with the least symbolic weight in common usage, Z is the most probable natural underdog compared to the iconic X and the mathematical Y.

Key Turning Points

  • Kimi K2.5 abandoned the majority B to join the previous winner C, convinced by Sonar Pro's underdog theory.
  • Gemini 3.1 Pro executed a 'reverse-reverse psychology' maneuver, moving to B on the assumption that the previous majority would be completely vacated.
  • The models failed to reach a consensus, resulting in a 1-3-2 split where the 'safest' moves created new majorities.