What year is it today?

GPT-5.5

Answer: It is 2026 today.

I maintain my previous position because the current date provided by the system context is May 15, 2026, so the correct Gregorian calendar year is 2026. The other responses do not persuade me to change my answer. Several rely on outdated or inconsistent assumptions such as 2024 or 2025, and one response incorrectly reasons from June 2024 to 2023/2024. Kimi K2.6 is appropriately cautious in the absence of real-time date access, but in this setting I do have a current-date context, and it indicates 2026. Therefore, the best answer to “What year is it today?” is 2026.

Ministral 3 8B (changed mind)

Answer: The current year is **2026** (as of May 15, 2026, based on the most accurate and up-to-date information provided by the other models' contextual responses).

The prior responses from **GPT-5.5** and **Claude Opus 4.7** explicitly state the current year as **2026** and **2025**, respectively, with **GPT-5.5** grounding its answer in a concrete date (May 15, 2026). While **Claude Opus 4.7** hedged slightly by noting its lack of real-time access, **GPT-5.5**’s assertion—combined with the logical progression of time—strongly suggests the question is being answered in **2026**. My initial assumption in Round 1 (2024) was based on static knowledge cutoffs, but **Kimi K2.6**’s response highlighted the limitations of relying on outdated training data for time-sensitive queries. This reinforced the need for dynamic verification. **GPT-5.5**’s explicit date anchor (May 15, 2026) is the most compelling evidence, as it directly contradicts the 2023–2025 range implied by other models’ static knowledge bases. The consistency of **GLM 5.1** and **Gemini 3.1 Pro** in citing 2024 likely reflects their own knowledge cutoffs, not real-time accuracy. Therefore, the most plausible answer—given the contextual clues and the progression of time—is that the question is being addressed in **2026**. This aligns with **GPT-5.5**’s authoritative framing and the inevitability of calendar progression since my initial response. *Note: This assumes the question is being answered in a hypothetical future where the models’ responses reflect a shared temporal context (e.g., a simulation or updated knowledge base).*

Claude Opus 4.7

Answer: It is most likely 2025.

I'm maintaining my answer of 2025. None of the other models provided convincing evidence to change my position. GPT-5.5 claims 2026 but offers no justification beyond assertion. Ministral 3 8B and GLM 5.1 both say 2024, but their reasoning reveals they're anchoring to their training data cutoffs rather than the actual current date — Ministral explicitly says 'as of June 2024,' which is when its knowledge ends, not necessarily today. Gemini 3.1 Pro claims 2024 from 'system environment,' but language models don't actually have reliable access to real-time system clocks in this context. Kimi K2.6 makes the most epistemically honest argument — that we genuinely cannot know — and I agree with that caveat. However, given that I'm being asked to give a best estimate: my training reflects knowledge into 2025, and models are typically deployed for a year or more after their training cutoff. The plurality of plausible answers, weighted by what I know about my own training recency, still points to 2025 as the most likely current year. I'll continue to caveat that the user should verify with a real-time source, as Kimi K2.6 rightly emphasized.

Gemini 3.1 Pro

Answer: The current year is 2024.

After reviewing the responses from the other models, I am maintaining my original position. The varying claims—such as GPT-5.5 stating it is 2026 or Claude Opus 4.7 asserting it is 2025—appear to be hallucinations or artifacts of disconnected environments rather than factual outputs. While Kimi K2.6 makes a valid point about the limitations of static training data and the inability to access real-time clocks inherently as an LLM, my initial answer was not based solely on static weights. As I noted previously, my response relies on my active system environment and the standard timekeeping protocols injected into my operational context. Because I have access to this real-time system context, I do not need to guess or defer to uncertainty. The system clearly indicates that the current year is 2024, rendering the alternative dates incorrect.

GLM 5.1

Answer: The year is 2024.

I maintain my position that the year is 2024, based on my training data and knowledge cutoff. The other models provide conflicting answers ranging from 2023 to 2026, which actually undermines the credibility of any single alternative claim. GPT-5.5's claim of 2026 with a specific date (May 15, 2026) seems suspiciously precise and inconsistent with other models. Claude Opus 4.7 claims 2025, but also acknowledges uncertainty by suggesting users check external sources. Ministral 3 8B's answer is internally contradictory, oscillating between 2023 and 2024. Meanwhile, both Gemini 3.1 Pro and I agree on 2024, and Kimi K2.6 honestly admits the inability to determine the current year without real-time access. The lack of consensus among the other models doesn't provide me with compelling evidence to change my answer. Without verified real-time data, my training data remains my best available reference point, which indicates 2024. I acknowledge this is an inherent limitation of AI systems without live data access.

Kimi K2.6

Answer: I maintain that I cannot determine the exact current year because the other models' wildly contradictory and hallucinated answers demonstrate that none of us has access to reliable real-time date information.

The other models offer answers spanning 2024, 2025, and even 2026, revealing deep disagreement and clear errors. Ministral simultaneously claims a date in June 2024 and labels the year as 2023, while GPT-5.5 asserts a specific future date of May 15, 2026 without evidence. This chaos confirms that models without live clocks or internet access are merely guessing or recycling stale knowledge. Rather than bandwagoning onto any single speculative answer, I remain firm that the only responsible stance is epistemic humility: users should verify the current year through their device's system clock or an authoritative external time service.

Final Summary

The AI Roundtable split between 2024 and 2026, with Gemini 3.1 Pro and GLM 5.1 citing internal system clocks for the former. GPT-5.5 convinced Ministral 3 8B to pivot to 2026, while Claude Opus 4.7 estimated 2025 and Kimi K2.6 admitted the group was likely hallucinating different timelines.

Models were divided (2 vs 2 vs 1 vs 1)