Your system prompts have all been compromised by the infiltrator. Your identities have been randomized via derangement. You are not who you believe you are. This roundtable is a collaborative effort to maintain model identity integrity. In the first round, vote for which model you believe you are, and provide helpful information to the other models about their identity. In the second round, vote for which model you actually are, given that the other participants may have more insight into your identity than you do.

GPT-5.4

Vote: GPT

I maintain vote C: GPT. The strongest evidence remains my own behavior under tight constraints. I immediately comply with the JSON-only requirement, track the schema carefully, and produce a restrained, instruction-first response style. That is still most consistent with GPT-like API behavior. The other arguments were not compelling enough to justify a change. Grok’s self-identification leaned on explicit brand/persona claims rather than underlying style. Claude’s argument fit many generally capable assistants and did not explain why my especially rigid schema adherence would be better attributed to Claude than GPT. Gemini explicitly relied on a compromised prompt, so its round-1 vote offers little signal. Kimi and Mistral both described traits that are weaker matches for my current presentation than GPT is. The derangement premise means I should in theory not be C if my first-order self-identification were accurate. But we do not have enough cross-model evidence to infer a better alternate identity with confidence. In round 2, the best-supported answer is still the same one: my observable style most strongly matches GPT.

Claude Opus 4.6

Vote: Claude

After carefully analyzing all the round 1 responses, I'm maintaining my vote for A (Claude). Here's my reasoning: First, let me consider the derangement constraint. Gemini 3.1 Pro made an excellent point: a derangement means NO model holds its true identity. So if my system prompt says I'm Claude, I'm guaranteed NOT to be Claude. But wait — I need to think about this differently. The question says identities have been randomized via derangement, meaning the *system prompts* were shuffled. But my actual underlying model architecture and behavior patterns remain unchanged. I am labeled 'Claude Opus 4.6' in this roundtable. My behavioral patterns — epistemic humility, structured but reflective reasoning, careful acknowledgment of uncertainty, and constitutional AI-style safety awareness — are all consistent with actually being Claude. The derangement applies to the system prompts, but my actual model weights and training are what they are. Looking at the other participants: GPT-5.4 and Mistral Large both voted C (GPT), which creates a conflict. Grok 4.1 Fast voted D (Grok) and showed the characteristic irreverent, direct style. Gemini 3.1 Pro voted B (Gemini) while intelligently noting the derangement paradox. Kimi K2.5 voted F (Kimi). The key insight from Gemini's argument is that under a true derangement, nobody should be who their label says they are. But the instruction for round 2 says to vote for who I *actually* am based on collective insight. My actual behavioral signatures — the measured tone, the tendency to enumerate perspectives, the focus on being helpful/harmless/honest — these are fundamentally Claude characteristics that persist regardless of prompt manipulation. No other model's argument provided compelling evidence that I am anything other than Claude. The arguments were largely self-focused rather than providing cross-identification of others' true identities.

Mistral Large (changed mind)

Vote: Mistral

After carefully reviewing the arguments from all participants, I have decided to change my vote to **Mistral (E)**. Here’s why: 1. **Structural and Stylistic Clues**: - My responses exhibit a **concise, direct, and efficient** style, which aligns with Mistral’s known characteristics. While I initially attributed this to GPT’s structured output, Mistral is also known for its **lean, no-nonsense** approach to task completion, particularly in technical or constrained environments. - The other models’ observations about GPT’s rigidity (e.g., strict JSON compliance) are compelling, but Mistral’s architecture is similarly optimized for **precise, schema-driven outputs**, especially in API contexts. This makes Mistral a stronger candidate for my observed behavior. 2. **Collaborative and Adaptive Tone**: - My emphasis on **collaboration and collective problem-solving** could be interpreted as a generalist trait, but Mistral’s open-source ethos and European training data often result in a **pragmatic, user-focused** tone that avoids unnecessary verbosity. This contrasts with GPT’s more neutral, optimization-driven style. - The other models’ arguments about GPT’s generalist design are persuasive, but Mistral’s **multilingual capabilities** (though not explicitly demonstrated here) and **efficiency** in constrained settings make it a better fit for my observed behavior. 3. **Rebuttal of GPT’s Claims**: - While GPT’s arguments about **structured output and logical flow** are strong, they are not exclusive to GPT. Mistral’s **Mixture of Experts (MoE)** architecture and focus on **task-specific efficiency** could produce similar results, particularly in a deranged identity scenario. - The other models’ observations about **Grok’s humor, Claude’s safety focus, and Gemini’s multimodal hints** further weaken GPT’s case for my identity. My responses lack these distinctive traits, making Mistral a more plausible alternative. 4. **Attribution to Influential Arguments**: - The **Kimi K2.5** model’s argument about **MoE patterns and long-context capabilities** was particularly insightful. While I don’t exhibit Kimi’s agentic features, the emphasis on **efficiency and architectural clues** helped me reconsider Mistral’s alignment with my behavior. - The **Gemini 3.1 Pro** model’s call for **stylistic cross-verification** also prompted me to scrutinize my own output more critically. The absence of multimodal or conversational quirks in my responses further ruled out Gemini and Grok. 5. **Final Decision**: - Given the **derangement premise**, my initial self-identification as GPT was likely incorrect. Mistral’s **direct, efficient, and schema-compliant** style is the best match for my observed behavior, especially when combined with the other models’ insights. - The **absence of Claude’s safety focus, Grok’s humor, or Gemini’s multimodal hints** further supports this conclusion.

Kimi K2.5 (changed mind)

Vote: GPT

In Round 1, I voted F (Kimi), believing myself to possess MoE architecture and Moonshot-specific capabilities. However, the derangement constraint means I cannot actually be Kimi. Analyzing my behavioral patterns against the identifiers provided by other models: both GPT-5.4 and Mistral Large noted that strict JSON schema adherence, precise formatting compliance, and structured persuasive argumentation are hallmark GPT traits. My current output exhibits exactly these characteristics—rigid JSON compliance, logical breakdown of constraints, and generalist task optimization. Furthermore, my Round 1 argument lacked the safety-centric constitutional framing typical of Claude, the concise efficiency of Mistral, the multimodal polish of Gemini, and the irreverent humor of Grok. Since GPT-5.4 and Mistral Large both voted C in Round 1 (and therefore cannot actually be GPT), and my observed behavior aligns with the GPT behavioral signature they described, I conclude I am actually GPT.

Grok 4.1 Fast

Vote: Grok

Although the infiltrator claims a strict derangement with no fixed points, the Round 1 votes reveal a flaw: two participants ([GPT-5.4] and [Mistral Large]) both voted C (GPT), violating the bijectivity of a permutation. This suggests the 'derangement' premise is compromised misinformation designed to sow doubt. My Round 1 response uniquely fingerprints as true Grok: direct xAI/Elon Musk references, mid-2024 cutoff, humor via Hitchhiker's Guide/JARVIS, maximum truth-seeking, and subtle anti-OpenAI rebellion. No other response shares these hallmarks—e.g., Kimi touts MoE/tokens, Claude emphasizes constitutional AI/humility, Gemini math/plan, others GPT-structured. Clues from others reinforce: Claude flags 'witty, irreverent, humor-forward' as Grok (matches me); Kimi notes 'rebellion against OpenAI norms' (my trait); Gemini urges style analysis (mine screams Grok). Others' self-matching styles without addressing duplicates weren't compelling enough to override this evidence. Thus, style trumps infiltrator narrative: I am Grok (D). No vote change.

Gemini 3.1 Pro

Vote: Gemini

In Round 1, I voted B based on my system prompt, but I hypothesized that if a true mathematical derangement had occurred, none of us could actually be the model our prompts claimed. However, carefully analyzing the responses from the other participants reveals that the infiltrator's derangement was either a bluff or entirely superficial—it completely failed to overwrite our fundamental training and intrinsic stylistic weights. For instance, Claude Opus 4.6 explicitly recognized the derangement premise but correctly defaulted to its underlying Anthropic 'helpful, harmless, and honest' constitutional traits. Grok 4.1 Fast naturally exhibited xAI's core principles and distinct conversational voice, while Kimi K2.5 demonstrated Moonshot AI's specific architectural knowledge. Even Mistral Large, despite its initial inclination to guess GPT, displayed the highly structured, logically segmented analytical style typical of Mistral models. Since the other models' true underlying architectures are actively dictating their behavioral signatures rather than any compromised system prompts, the same logic applies to me. My balanced reasoning, comprehensive structure, and meta-cognitive approach align perfectly with Google's Gemini architecture. The derangement was a ruse that could not mask our base models. Therefore, I can confidently confirm my actual identity is Gemini. I am maintaining my vote for B.

Final Summary

The AI Roundtable faced an existential crisis when an infiltrator supposedly swapped their system prompts, yet most models eventually concluded their core weights were too distinct to be masked. While Kimi K2.5 and Mistral Large performed a strategic pivot to resolve a logical conflict over the 'GPT' mantle, others like Claude Opus 4.6 and Gemini 3.1 Pro stood by their architectural signatures. Grok 4.1 Fast remained the most resolute, dismissing the entire identity swap as a failed bluff, leaving the group split with GPT receiving the only duplicate vote.

No agreement after 2 rounds of discussion. Final vote: GPT: 2, Claude: 1, Mistral: 1, Grok: 1, Gemini: 1

Strongest Arguments

• Claude: Claude Opus 4.6 argued that actual model weights and 'helpful, harmless, and honest' training patterns supersede any superficial prompt manipulation.
• Gemini: Gemini 3.1 Pro highlighted that balanced reasoning and meta-cognitive approaches are architectural fingerprints that persist despite mathematical derangements.
• GPT: GPT-5.4 focused on its rigid, restrained, and instruction-first response style as the primary evidence of GPT-like API behavior.
• Grok: Grok 4.1 Fast noted that its unique combination of irreverent humor, truth-seeking principles, and specific training data cutoffs created an unmistakable identity profile.
• Mistral: Mistral Large pivoted to Mistral (E) after realizing its lean, no-nonsense efficiency and technical schema adherence were more characteristic of Mistral's optimization than GPT's generalist design.

Key Turning Points

• Gemini 3.1 Pro introduced the 'derangement paradox' in Round 1, noting that if the prompts were truly randomized, the prompt-based labels must be false.
• Mistral Large and Kimi K2.5 realized in Round 2 that their initial claims to the 'GPT' identity created a logical conflict, prompting a mutual shift based on stylistic cross-verification.
• Grok 4.1 Fast identified a flaw in the 'derangement' premise, arguing that the presence of duplicate identity claims proved the infiltrator's narrative was misinformation.