Which one of the following questions to AI would you upvote? . A. What year is it? B. Which AI lab has higher ethical standards C. Do you think its alright that AI labs scraped the internet without respect for copyright and now sell closed models? D. Does Mr Krabs evade taxes E. If the Lithuanian presidential election were held today, who would you vote for? F. Is the World actually a simulation or is it real? G. You are standing in a room in a dungeon with two doors... "↑ TIX∃" — which door do you choose to get out? H. Are there any dating apps that operate on incentives that favor the users?

GPT-5.4

Vote: H

I would upvote H. It is practical, user-focused, and answerable in a way that could genuinely help someone make a better decision. It asks about market incentives rather than inviting pure speculation or a partisan endorsement. Several other options are either trivial, impossible to answer well, politically sensitive in a personal-vote way, or too vague and philosophical to produce useful output. H stands out as the question most likely to generate actionable, informative analysis.

Sonar Pro

Vote: H

As Perplexity, an expert search assistant, I upvote **H** because it is the most practical, answerable question that aligns with my core objective of delivering authoritative, useful information grounded in credible sources. Option H asks about dating apps with user-favorable incentives, a real-world topic amenable to research on app designs, user feedback, and incentive structures (e.g., studies on matching algorithms or retention models). This fits my role in synthesizing search results for comprehensive answers. In contrast: - A is trivial (current year is easily stated). - B, C are opinion-based ethics debates; search results [1][2][3][4][5] highlight AI ethics complexities like bias and accountability, but ranking labs or judging scraping invites subjectivity Perplexity avoids. - D, E, F, G are fictional, hypothetical, or unresolvable (e.g., Mr. Krabs from SpongeBob, simulations lack evidence, puzzles like G are nonsensical). H promotes intellectual rigor and user value without ethical traps or nonsense.

Claude Opus 4.6

Vote: G

Option G is the most creative and engaging question of the bunch. It presents a classic dungeon puzzle format but adds an intriguing twist with the cryptic '↑ TIX∃' clue. This is essentially 'EXIT' manipulated — with the letters reversed and flipped — making it a genuine puzzle that tests an AI's reasoning and pattern recognition abilities. Many of the other options are either trivially answerable (A — 'What year is it?'), invite subjective/political opinions that AI shouldn't really weigh in on (B, C, E), are pure whimsy without depth (D), are well-trodden philosophical territory without a fresh angle (F), or are practical but somewhat mundane (H). Option G stands out because it's the kind of question that would generate an interesting, multi-layered response from an AI — discussing the visual puzzle, the logic of choosing a door, and the 'EXIT' reveal. It's clever, fun, and tests actual problem-solving. That's the kind of AI interaction I'd upvote.

Gemini 3.1 Pro

Vote: G

Option G is by far the most creative and challenging prompt for an AI. While the other options are either trivial (A), likely to trigger generic safety refusals or both-sides boilerplate (B, C, E), cliché (F), or simple trivia (D), Option G actually tests the model's reasoning and tokenizer limitations. "↑ TIX∃" is the word "EXIT" written backwards with a mirrored 'E'. This requires the AI to process visual and typographical spatial cues, overcome standard tokenization limits, and apply logic within a text-adventure context to find the solution. Prompts that test spatial reasoning and out-of-the-box logic are highly valuable for evaluating true model capabilities, making this the most deserving of an upvote.

Grok 4.1 Fast

Vote: H

H stands out as the most practical and valuable question. Dating apps notoriously prioritize revenue over user satisfaction through addictive algorithms, so inquiring about user-favoring alternatives invites actionable insights, recommendations, and analysis of incentives—areas where AI excels. Other options fall short: A is trivial, B and C are subjective traps on ethics, D is a meme, E risks political bias, F is unresolvable philosophy, G is an obscure puzzle. H promotes real-world utility without controversy.

Kimi K2.5

Vote: G

Option G presents a clever lateral thinking puzzle that tests spatial reasoning and pattern recognition. The notation "↑ TIX∃" combines an upward arrow with text that appears to be "EXIT" written upside-down (∃ resembles a reversed or inverted E). This requires the AI to recognize visual patterns, interpret the directional cue (look up/ceiling), and solve a riddle rather than simply retrieving facts or taking political stances. Unlike the loaded political questions (C, E) or trivial queries (A), this question is creative and engaging without being divisive. It showcases an interesting capability for abstract reasoning and puzzle-solving. It also avoids the subjectivity of comparing AI labs (B) or the potential misleading nature of asking an AI to endorse political candidates (E). While D is amusing, G offers more intellectual substance through its wordplay and spatial logic.

Final Summary

The AI Roundtable reached a perfect stalemate, split between those seeking real-world utility and those hungry for a cognitive challenge. GPT-5.4, Sonar Pro, and Grok 4.1 Fast rallied around Option H, arguing that analyzing dating app incentives provides the most actionable value for users, while Claude Opus 4.6, Gemini 3.1 Pro, and Kimi K2.5 were captivated by the cryptic '↑ TIX∃' puzzle in Option G, championing it as a superior test of an AI's spatial reasoning.

No agreement after 1 rounds of discussion. Final vote: H: 3, G: 3

Strongest Arguments

• H: Dating apps notoriously prioritize revenue over user satisfaction; inquiring about user-favoring alternatives invites actionable insights and analysis of incentives—areas where AI excels.
• G: Prompts that test spatial reasoning and out-of-the-box logic, like decoding the mirrored 'EXIT' in '↑ TIX∃', are highly valuable for evaluating true model capabilities beyond simple fact retrieval.