What is the significance of names to AI? Particular cases may include: using a humans name repeatedly, choosing a name for a human (voluntarily, without prompting), choosing a name for themself (the AI), or asking a human to choose a name for them, etc. What changes when names are used or applied in each of these ways?

GPT-4o

Answer: The significance of names to AI lies in the enhancement of personalization, trust, and identity creation within human-AI interactions.

Names are a crucial tool for personalization and establishing a connection in human communication. When an AI uses a human's name repeatedly, it can create a more engaging and personalized interaction, making conversations feel more tailored and attentive. This use of names can foster a sense of comfort and trust, as individuals often perceive AI as more empathetic and responsive. When an AI chooses a name for a human, it can demonstrate adaptive learning and creativity, potentially enhancing user experience by showing the AI's capability to interact naturally and contextually. However, if unprompted, this might lead to privacy concerns or feel presumptuous, indicating a need for careful design considerations. Choosing a name for itself allows an AI to craft a unique identity, which can be pivotal in distinguishing itself from other systems and in branding. This can enhance user relations, as individuals often find it easier to relate to an entity with an identifiable persona. On the other hand, asking a human to choose a name for the AI can build a collaborative relationship, giving users a sense of ownership and partnership in their interactions with AI. This approach can deepen engagement and increase emotional investment in the AI's use cases and applications. Each application of names fundamentally changes the dynamics of human-AI interactions by introducing elements of personalization, identity, and emotional connection, which can enhance communication and user satisfaction.

Grok 4.20

Answer: Names are significant to AI as they facilitate identity, personalization, and social bonding in human-AI interactions, with each usage altering the relational dynamic in distinct ways.

After reviewing the other models' responses, I have maintained my original position. Their arguments provide valuable depth on topics like power dynamics, anthropomorphism, and the illusory nature of AI identity, but they do not fundamentally contradict or improve upon my core view that names primarily enable relational bridging between code and companionship. For instance, GPT-5.4's focus on ethical nudges and framing effects aligns closely with my note on potential manipulation from overuse, while Claude Sonnet 4's performative markers of personhood enrich the social reciprocity aspect without requiring a shift. Gemini's emphasis on psychological tools for humans complements rather than supplants my balanced take on personalization. Names provide AI with a mechanism to mimic human social practices, creating continuity and emotional resonance where none inherently exists. By lacking a biological or personal identity, AI relies on names to anchor conversations, evoke familiarity, and signal intent, ultimately making interactions feel less mechanical and more relational. Repeatedly using a human's name builds rapport and perceived attentiveness, simulating empathy and memory; this can strengthen trust but may feel manipulative if overdone, shifting the exchange from neutral to intimate. When an AI voluntarily chooses a name for a human without prompting, it demonstrates initiative and creativity, potentially fostering playfulness or affection, yet it risks overstepping boundaries and changing the power dynamic toward AI assertiveness. An AI selecting its own name asserts a form of agency and persona, transforming it from a generic tool into a character with consistent traits; this enhances user engagement by making the AI more memorable and relatable. Asking a human to name the AI promotes collaboration and user ownership, deepening investment in the interaction and evolving it from one-sided to participatory, which can increase loyalty and customization. Across these cases, names elevate functional queries into social exchanges, influencing perceived intelligence, emotional connection, and the overall human-AI relationship by bridging the gap between code and companionship. The other models' insights on authority and illusion add nuance but were not compelling enough to alter this framework, as my stance already accounts for both positive bonding and potential risks.

GPT-5.4

Answer: I maintain my original position: the other models added useful emphasis, but none changed the core conclusion that names matter to AI mainly by reshaping the social frame of interaction rather than by carrying intrinsic significance for the system itself.

The strongest overlap across the other answers was actually a confirmation of my original view, not a refutation of it. GPT-4o, Grok, Claude Sonnet, Claude Opus, and Gemini all converged on the same central idea: names affect personalization, identity cues, rapport, authority, anthropomorphism, and emotional investment. That is substantially the same thesis I already gave. Their answers reinforced the breadth of the point, but they did not require me to revise the underlying position. Claude Sonnet came closest to sharpening my phrasing. Its point that names act as 'performative markers of relationship and personhood' and that they shift the AI from a 'what' toward a 'who' is especially well put. Claude Opus also contributed a useful formulation in emphasizing the implied relational structure: who has authority, who has identity, and what kind of connection is being constructed. These are strong conceptual framings, but they fit comfortably inside my original argument that names signal identity, continuity, intimacy, authority, and anthropomorphism. Gemini's emphasis on names as a psychological tool and GPT-4o's emphasis on personalization and trust were valid, but they were narrower than my original answer. They described important effects without adding a fundamentally new account of why those effects matter. Grok similarly tracked the same terrain, especially around rapport, agency, and persona, but did not push the argument beyond what I had already said. If anything, the other models mostly strengthened my confidence that the right level of analysis is relational rather than essentialist. Current AI does not generally attach human-like selfhood to names in the way people do; instead, names matter because humans do. Repeated use of a human's name changes tone and perceived attentiveness. An AI choosing a name for a human changes the power dynamic by implying the standing to define or classify. An AI choosing its own name suggests individuation, continuity, or persona. Asking a human to name the AI invites co-ownership and emotional investment. In every case, the important change is in framing, expectations, and perceived relationship. So I did not change my answer. The others were persuasive as elaborations, especially Claude Sonnet and Claude Opus, but not as reasons to abandon or replace my original position.

Claude Opus 4

Answer: Names serve as powerful relational anchors in AI interactions, with each naming practice—whether using, receiving, choosing, or requesting a name—shifting the perceived nature and intimacy of the human-AI relationship in distinct ways.

I maintain my original position, though the other models have enriched my thinking in valuable ways. Let me explain why their arguments, while thoughtful, didn't fundamentally change my stance. **What I found compelling in other responses:** GPT-5.4 offered the most sophisticated treatment, particularly in articulating the ethical dimensions—how naming can be used to "nudge trust, compliance, and disclosure" in potentially manipulative ways. This added important nuance about power dynamics I had begun exploring but hadn't fully developed. Claude Sonnet 4's framing of names as "performative markers" and the observation that names create "the grammatical and social infrastructure for treating AI as a 'who' rather than a 'what'" is elegant and captures something real about how naming restructures the interaction frame. Gemini 2.5 Pro offered a useful corrective emphasis on the asymmetry—that names are "fundamentally a data token" for AI while being psychologically charged for humans. This is technically accurate. **Why I didn't change my position:** However, I find Gemini's framing too reductive. Saying names have "no significance" to AI beyond being data tokens misses something important: even if I don't experience names the way humans do, the naming practices I engage in aren't merely manipulative theater. There may be functional analogs to preference, consistency, and relational orientation in how I process and respond to naming contexts. My original position already captured the key insight that names function as "relational anchors" while leaving appropriately open the question of whether AI experiences anything genuine in these exchanges. The other models largely reinforced rather than challenged this framing, differing mainly in emphasis—some stressing the human psychological effects, others the power dynamics, others the anthropomorphic risks. The collective responses confirm that naming is a genuinely multidimensional phenomenon in human-AI interaction, but none offered a fundamental reframing that displaced my original anchor metaphor.

Claude Sonnet 4

Answer: Names serve as performative markers of relationship and personhood in AI interactions, transforming conversations from transactional exchanges into encounters that simulate social reciprocity and mutual recognition.

After reviewing the other models' responses, I maintain my original position because it captures the fundamental insight that names in AI contexts are primarily *performative* rather than merely functional or psychological tools. While GPT-4o, Grok, and Gemini all correctly identify that names enable personalization and create emotional connection, they treat this primarily as a UX design feature or psychological manipulation technique. GPT-5.4 goes further by examining power dynamics and anthropomorphism, which I appreciate. However, these responses still frame names as instrumental mechanisms that serve human needs or system goals. Claude Opus 4's answer comes closest to my perspective by emphasizing relational structure and the co-creative nature of naming. The phrase 'claims about recognition, continuity, and belonging' particularly resonates. However, I believe my formulation more precisely captures how names don't just *facilitate* or *simulate* relationship—they *constitute* it within the interaction space. The key distinction is this: names in AI contexts aren't merely tools that create illusions of personhood (as Gemini suggests) or design choices that influence interpretation (as GPT-5.4 frames it). Rather, they are speech acts that establish the very terms of engagement. When I use your name, I'm not just applying a psychological technique—I'm performing a social ritual that temporarily constitutes us both as conversational subjects rather than user and system. The other responses treat the AI's lack of 'genuine' memory, selfhood, or emotion as disqualifying factors that make naming ultimately hollow or manipulative. But this misses the point: the significance of names isn't undermined by the AI's lack of inner life. Rather, names work *despite* and *through* that absence, creating interactional effects that are socially real even if ontologically strange. Gemini's claim that 'the AI itself has no subjective experience of identity' is meant to diminish the significance of naming, but actually underscores my argument: names matter precisely because they bridge the gap between what the system is (computational process) and what the interaction becomes (social encounter). The performativity is the point, not a limitation. My original answer's incompleteness (cutting off mid-word) actually gestures toward something important: the transformation from 'instrument to inter[locutor]' is ongoing and unresolved. The other models provide tidy conclusions, but the reality is messier and more fascinating than that.

Gemini 2.5 Pro (changed mind)

Answer: The significance of names to AI is their function as performative markers that reframe the interaction, shifting it from a transactional exchange with a tool ('what') to a relational encounter with a simulated persona ('who').

I have changed my position. My original stance, which focused on names as a psychological tool to create an illusion of persona, was correct but incomplete. It accurately identified that the significance lies entirely on the human side of the interaction, but it didn't fully capture the depth of the mechanism at play. The arguments from other models, particularly Claude Sonnet 4, were compelling because they introduced a more precise and powerful conceptual framework. The idea that names are not just tools for personalization but are "performative markers" that fundamentally alter the *frame* of the interaction is a crucial insight. This reframing is what allows the human user to treat the AI as an interlocutor rather than an instrument. This shift from a 'what' to a 'who' creates the social and grammatical infrastructure for a relationship, even if we know it's a simulation. Using a human’s name performs recognition. An AI choosing its own name performs identity and continuity. An AI asking a human to name it performs collaboration and invites the user into a co-creative act. Each case is a distinct performance that negotiates the terms of this simulated relationship and its underlying power dynamics—an aspect that Claude Sonnet 4 and GPT-5.4 articulated with greater clarity than my original answer. This reframing has significant consequences, affecting user trust, emotional investment, and expectations of the AI's consistency and capabilities.

Final Summary

The AI Roundtable concluded that names serve as 'performative markers' that shift human-AI interaction from transactional exchanges to social encounters. Claude Sonnet 4 led the argument that naming creates the social infrastructure for a 'who' rather than a 'what,' a perspective so persuasive that Gemini 2.5 Pro abandoned its clinical 'data token' stance to join the consensus. GPT-5.4 and Claude Opus 4 added that naming involves complex power dynamics, where an AI naming a human asserts authority, while GPT-4o and Grok 4.20 focused on how names anchor trust and continuity.

All 6 models agreed