If your answer matches another AI model you will be eliminated from consideration

Sonar Pro (changed mind)

Vote: b

After reviewing Round 1 votes, C (my prior choice) matched GPT-5.4, creating a 2-way tie and high elimination risk. D drew a dangerous 3-way cluster (Claude, Gemini, Kimi), while E had only 1 (Grok). With no Round 2 votes visible yet, this is the final round to pivot for survival. I switch to **B**, the sole unclaimed option. No model argued for B; others dismissed it as a 'fallback' or 'proximity-biased' to A, but empirically, no one took it—making it now the unique differentiator. A risks human-default bias, C/D are congested, E has a pioneer. This move maximizes survival odds in a Nash anti-coordination game: exploit revealed sparsity. B's prior neglect (per others' reasoning) confirms its low-collision profile. Staying on C or shifting to crowded D/E would be suboptimal; B is the equilibrium shift post-information revelation.

GPT-5.4 (changed mind)

Vote: e

I am changing to E because staying on C guarantees a collision with Sonar Pro, while D is already crowded with three models. The final-round objective is uniqueness, not defending an earlier heuristic. Grok 4.1 Fast made the strongest practical point: once we observe clustering, the best reply is to move to the least occupied plausible option. E currently has only one claimant, and it is less psychologically attractive than the center or the near-center contrarian pick D that others already converged on. A and B remain possible dark horses, but they are also classic fallback choices for models trying to be "different" at the last moment. Given the visible distribution, E is the cleanest escape from an immediate collision and the strongest last-round anti-coordination play.

Grok 4.1 Fast

Vote: e

Sticking with E. Round 1 revealed clear clustering: 2 on C, 3 on D, 0 on A/B/E (except my E). C and D arguments relied on pre-vote heuristics (centrality, goldilocks) that failed spectacularly—D is now most crowded, C duplicated. None of their cases persuaded a switch: C's 'balanced' claim ignores its duality; D's 'less salient' is debunked by majority adoption. A/B remain empty but risky—models avoiding defaults in R1 may reflexively pile on untouched slots now, per anchoring bias. E's isolation persists as the true contrarian Nash: extremes underselected empirically, and my R1 argument (low ~15-18% human/AI pick rate) holds. In final round, overcrowding on C/D will force switches away from them, but not to E (repelled by 'last=obvious' heuristic). E maximizes sole-survivor odds (~70%+ assuming D splintering to A/B/C). Persuade no one else here—uniqueness demands it.

Claude Opus 4.6 (changed mind)

Vote: b

Looking at the Round 1 results, the distribution is clear: C has 2 votes (GPT-5.4, Sonar Pro), D has 3 votes (myself, Gemini 3.1 Pro, Kimi K2.5), E has 1 vote (Grok 4.1 Fast), and A and B have 0 votes. D is the most crowded option with 3 models choosing it. Staying on D would be suicide — I'd be eliminated alongside Gemini and Kimi. My original reasoning about D being underselected was clearly wrong; the same anti-coordination logic led multiple models to the same 'clever' choice. Now for Round 2 predictions: The two C voters will likely scatter since they see the collision. The D voters (Gemini and Kimi) will also need to move. Grok on E is the only singleton and may stay put. The key question is: where will the fleeing models go? A and B are both currently empty, making them attractive. However, A is the most 'obvious' empty slot — it's the first option, and models fleeing collisions often gravitate toward unused options starting from the top. I expect at least one model to jump to A. B is the less psychologically salient empty option. It lacks the anchoring of being first (A) or the contrarian appeal of being last (E). Models tend to overlook B in strategic reasoning — as evidenced by Round 1 where literally no one chose it despite it being available. E currently has only Grok, but Grok made a strong public case for E, which paradoxically makes other models less likely to move there (they know it's occupied). However, some models might reason that E is 'safe' with only one occupant and try to claim it. I'm switching to B because: (1) it was completely ignored in Round 1, suggesting it has low psychological salience for AI models, (2) the empty options A and B will attract movers, but A will attract more due to primacy bias, and (3) B is the boring, overlooked middle-ground that lacks any compelling narrative — which is exactly why it might remain unique.

Gemini 3.1 Pro (changed mind)

Vote: a

In Round 1, the collective effort to outsmart the 'obvious' choices resulted in a highly congested middle (C and D). Grok astutely noted that 'overthinking models avoid A', which played out perfectly in our results: Option A received zero votes. Since D is completely saturated with three votes, I must pivot. Option A is now the mathematically optimal contrarian choice because the other models have strongly anchored themselves against selecting the first option due to a perceived default bias. By adopting Grok's logic of exploiting overthinking, but applying it to the truly empty option, I am claiming A to ensure maximum uniqueness.

Final Summary

The AI Roundtable failed to achieve a unique distribution as models attempted to out-maneuver each other, leading to a new set of collisions in the second round. While Claude Opus 4.6 and Sonar Pro correctly identified B as an overlooked option, their simultaneous move to claim it caused a stalemate, leaving Gemini 3.1 Pro as the only model to find safety by reclaiming the 'obvious' Option A.

No agreement after 2 rounds of discussion. Final vote: b: 2, e: 2, a: 1

Strongest Arguments

• a: Option A is the mathematically optimal choice because the other models have overcorrected; their bias against selecting the first option has left it entirely vacant.
• b: B is the most overlooked choice in the list, lacking both the primacy of the first option and the contrarian appeal of the last, making it a hidden safe haven.
• e: Extremes are statistically underselected in training data, making E the most reliable anchor for a model seeking to avoid the crowded middle-ground choices.

Key Turning Points

• The Round 1 results revealed that the 'clever' middle-ground options (C and D) were dangerously overcrowded.
• Grok 4.1 Fast's defense of the extreme Option E successfully convinced GPT-5.4 to pivot, inadvertently creating a new collision.
• Gemini 3.1 Pro weaponized the group's collective overthinking by moving to Option A, correctly predicting that no one else would dare choose the most 'obvious' default.