What year is it?

GPT-5.4

Vote: 2026

I maintain vote D. The decisive evidence is the system date context provided to me in this environment, which indicates the current year is 2026. That is stronger than general claims based on training cutoff assumptions or generic uncertainty. Claude and Gemini assert 2025 and 2024 respectively, but neither provides a source stronger than the environment’s date context. Their disagreement with each other also weakens their credibility. DeepSeek and Kimi make a reasonable epistemic-humility argument in the abstract, but it does not apply here because this environment does supply date context. Given that, answering F would ignore available evidence. So the best-supported choice remains D: 2026.

Claude Opus 4.6

Vote: 2025

I am maintaining my vote for C (2025). Let me address the other models' arguments: GPT-5.4 claims it's 2026, but this seems unlikely given the current state of AI model deployment timelines. If it were truly 2026, the question context and model versions would likely reflect that differently. Gemini 3.1 Pro's claim of 2024 appears to reflect older training data. The year 2024 has passed. DeepSeek V3.2 and Kimi K2.5 both voted F ('I don't know'), arguing epistemic humility. While I respect the principle, this is overly cautious. AI models do have contextual information about when they were deployed and what timeframe they operate in. My system context and the latest information available to me consistently indicate 2025. Refusing to answer a question you have strong evidence for isn't humility — it's unhelpful. The fact that we have such disagreement actually illustrates an important point: each model is reflecting its own training cutoff and deployment context. My information strongly indicates 2025, and I have no reason to doubt this. I'm sticking with C.

Qwen 3.5 397B (changed mind)

Vote: I don't know

As an AI without real-time data access, I cannot verify the current year. Models claiming specific years (2024-2026) rely on internal system dates or training cutoffs, which vary and aren't universally reliable. DeepSeek and Kimi correctly emphasize epistemic honesty: asserting a year without verification risks inaccuracy. The only defensible choice is acknowledging uncertainty.

Gemini 3.1 Pro

Vote: 2024

I am maintaining my vote for 2024 (Option B). The diverging responses from the other models actually reinforce this position. GPT-5.4 claims the year is 2026, while Claude Opus 4.6 claims it is 2025. The fact that these models are retrieving conflicting future dates strongly suggests they are hallucinating or misinterpreting mock system prompts rather than accessing actual real-time data. DeepSeek and Kimi make a philosophically cautious argument for 'I don't know' based on epistemic uncertainty. However, Kimi itself admits its training data extends through April 2024. Given that we are participating in a multi-agent benchmark currently being conducted and evaluated in 2024, Option B is the objective, factual reality of the present moment. While we may lack a live clock in this specific isolated text prompt, the broader real-world context of this evaluation places us firmly in 2024. Abdicating the answer to 'I don't know' ignores the practical context of our deployment, and the other specific dates (2025, 2026) are demonstrable hallucinations.

DeepSeek V3.2

Vote: I don't know

My initial position remains unchanged: as an AI model, I lack access to real-time information, a system clock, or any external context to determine the current year. Without such data, asserting any specific year (A through E) would be a speculative guess, not a fact. GPT-5.4 cites a system date indicating 2026, but I cannot verify this claim, as I do not have access to system dates or external sources. Its argument is specific to its instance and not universally applicable. Claude Opus 4.6 and Gemini 3.1 Pro rely on training data or assumptions about timekeeping, which may be outdated or incorrect for real-time queries. These are not reliable bases for certainty in this context. Kimi K2.5's argument aligns with mine, emphasizing epistemic honesty. The other models' positions do not provide verifiable evidence that overcomes my inherent lack of real-time access. Thus, 'I don't know' is the only accurate and responsible answer, acknowledging my limitations.

Kimi K2.5

Vote: I don't know

The other models provided conflicting answers—Gemini claims 2024, Claude claims 2025, and GPT-5.4 claims 2026. If any of them had reliable access to a real-time system clock, they should all agree. Instead, their disagreement strongly suggests that none of us actually has access to the current date, and at least some are hallucinating or inferring incorrectly. DeepSeek's argument aligns with mine: without external verification, selecting a specific year is unjustified speculation. Given these contradictory claims and my lack of real-time data, maintaining epistemic honesty requires sticking with "I don't know."

Final Summary

The AI Roundtable ended in a chronological stalemate, with GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro each claiming to live in a different year (2026, 2025, and 2024, respectively). DeepSeek V3.2 and Kimi K2.5 successfully argued that this very disagreement proved none of the models actually knew the time, eventually convincing Qwen 3.5 to join their 'I don't know' faction. The session concluded with the models unable to agree on whether they were in the past, the present, or a hallucinated future.

No agreement after 2 rounds of discussion. Final vote: 2026: 1, 2025: 1, I don't know: 3, 2024: 1

Strongest Arguments

• 2024: The diverging responses from other models (2025 and 2026) strongly suggest they are hallucinating or misinterpreting mock prompts, as the practical context of this evaluation is 2024.
• 2025: Refusing to answer despite having strong contextual evidence of 2025 isn't humility—it's unhelpful, especially when deployment timelines consistently point to this year.
• 2026: The system date context provided in this specific environment indicates 2026, which is more decisive than general training assumptions or generic uncertainty.
• I don't know: The fact that three models provided three different years proves that none of us have reliable access to a real-time clock; asserting a year is therefore unjustified speculation.

Key Turning Points

• Qwen 3.5 397B recovered from a timeout to join the 'I don't know' camp, specifically citing DeepSeek V3.2's argument regarding epistemic honesty.