







aka FiveFactor, OCEAN - Personality Test - In psychological trait theory, the Big Five personality traits, also known as the OCEAN model is a suggested taxonomy, or grouping, for personality traits,[1] developed from the 1980s onwards. When factor analysis (a statistical technique) is applied to personality survey data, it reveals semantic associations: some words used to describe aspects of personality are often applied to the same person. For example, someone described as conscientious is more likely to be described as "always prepared" rather than "messy". These associations suggest five broad dimensions used in common language to describe the human personality and psyche.[2][3] The theory identifies five factors: openness to experience (inventive/curious vs. consistent/cautious); conscientiousness (efficient/organized vs. extravagant/careless); extraversion (outgoing/energetic vs. solitary/reserved); agreeableness (friendly/compassionate vs. challenging/callous); neuroticism (sensitive/nervous vs. resilient/confident) https://en.wikipedia.org/wiki/Big_Five_personality_traits (more)
judge — mino.mobi
Topics, emotional valence, and Big Five personality traits — extracted from embedding geometry. One model, no LLM, just cosine distances to anchor texts and k-means clustering. What your posting reveals.
Carryover Effect in LLM Personality Measurement
Large language models are increasingly evaluated with human personality inventories, yet prior critiques mainly frame contextual variation as instability or explain directional shifts as user-targeted adaptation, such as sycophancy. We propose the personality carryover effect, a content-targeted contextual bias in which personality-related content in prior context shifts later questionnaire responses even when it does not reflect the user's own stance. Across MBTI and BFI-2 on two model families, third-person personality narratives systematically shift measured personality toward the described profile. Crucially, the shift persists when the user explicitly states dislike of that profile, distinguishing carryover from purely user-targeted adaptation. These findings identify a distinct validity threat to in-context personality measurement in LLMs.
Sex Differences in Personality are Large and Important - Marginal REVOLUTION
Men and women are different. A seemingly obvious fact to most of humanity but a long-time subject of controversy within psychology. New large-scale results using better empirical methods are resolving the debate, however, in favor of the person in the street. The basic story is that at the broadest level (OCEAN) differences are relatively small […]
Psychometric Framework for Comparing Alignment- Conditioned Behavior in Large Language Models
This paper introduces an interpretive framework for comparing the behavioral tendencies that post-training alignment induces in large language models (LLMs). Post-training alignment techniques including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and constitutional or rule-based prompting strategies steer LLMs toward human-preferred behavior. Using a scenario-based cross-model psychometric framework grounded in the Big Five personality traits (OCEAN: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism), we infer personality-like profiles for four prominent LLMs. We then map these profiles onto the responsiveness and demandingness dimensions from developmental psychology's parenting-styles theory, positioning each model in a two-dimensional responsiveness–demandingness space. Treating this mapping as an interpretive lens rather than a definitive measure of alignment quality, we examine how models distribute across the four parenting archetypes and discuss the assumptions required to read these positions normatively. This framing offers an exploratory and interpretable notion of "parenting LLMs" for reasoning about alignment regimes, while we explicitly delineate the limits of the analogy. We validate the framework with two independent human annotators on 440 paired ratings; both annotators yield moderate agreement with the LLM-based scoring and the relative ranking of models is preserved across all three rater sources.
Reality Roundtable #19 — Dark Triad Personality Traits: How Psychopathy, Narcissism, and Machiavellianism Impact Our Cultures & Social Systems - The Great Simplification
Psychopathy is often portrayed as a rare and distant phenomenon – something confined to movie villains or prison cells. Yet when psychopathy is combined with narcissism and Machiavellianism to form what psychologists call the Dark Triad, its impact becomes far more immediate. Individuals with these traits can wield disproportionate influence over our culture, institutions, and daily lives. What goes on inside their minds, and how do they shape the world around us?
Measures of emotion: A review
A consensual, componential model of emotions conceptualises them as experiential, physiological, and behavioural responses to personally meaningful stimuli. The present review examines this model in terms of whether different types of emotion-evocative stimuli are associated with discrete and invariant patterns of responding in each response system, how such responses are structured, and if such responses converge across different response systems. Across response systems, the bulk of the available evidence favours the idea that measures of emotional responding reflect dimensions rather than discrete states. In addition, experiential, physiological, and behavioural response systems are associated with unique sources of variance, which in turn limits the magnitude of convergence across measures. Accordingly, the authors suggest that there is no “gold standard” measure of emotional responding. Rather, experiential, physiological, and behavioural measures are all relevant to understanding emotion and cannot be assumed to be interchangeable.

The Chameleon's Limit Investigating Persona Collapse and Homogenization in Large Language Models
The Chameleon's Limit Investigating Persona Collapse and Homogenization in Large Language Models
Philosophy Officer on Instagram: "I AM SO EMOTIONALLY MATURE I have massive problems with this term. Most people would say it means something along the lines of: the ability to understand, process, regulate or communicate emotions in a healthy way. Now the issue is that all of the terms you use to explain it leave so much room for interpretation the definition becomes almost vacuous. To understand an emotion means to know what caused it? To know the impact it has on you physiologically? To understand how it affects your cognition? To know how it affects others? Same goes with the term healthy, get far enough into a discussion on what it means to be healthy and people will start to disagree. Mental health? Physical? Communal? Spiritual? What’s more is that this term is thrown around in place of simple personality traits or individual quirks. Because someone is more emotional are they now less mature because they have an objectively more difficult time regulating them? Is the person with a dark sense of humour immature because he can’t hold in a laugh when everyone else finds the situation morbid or cruel? I think, to a great extent, it’s a bit of a shield or barrier of a term that absolves ourselves from taking responsibility for our behaviours. At the end of the day we know ourselves best, or at least better than most people. This means we best understand our emotions, how we regulate them, how we control them etc. We have this epistemic bias towards ourselves, since we simply know more about ourselves therefore we will often reason that others have less. Sorry I couldn’t polish off my ideas more I gotta run bye friends"
102K likes, 186 comments - the_philofficer on July 6, 2026: "I AM SO EMOTIONALLY MATURE I have massive problems with this term. Most people would say it means something along the lines of: the ability to understand, process, regulate or communicate emotions in a healthy way. Now the issue is that all of the terms you use to explain it leave so much room for interpretation the definition becomes almost vacuous. To understand an emotion means to know what caused it? To know the impact it has on you physiologically? To understand how it affects your cognition? To know how it affects others? Same goes with the term healthy, get far enough into a discussion on what it means to be healthy and people will start to disagree. Mental health? Physical? Communal? Spiritual? What’s more is that this term is thrown around in place of simple personality traits or individual quirks. Because someone is more emotional are they now less mature because they have an objectively more difficult time regulating them? Is the person with a dark sense of humour immature because he can’t hold in a laugh when everyone else finds the situation morbid or cruel? I think, to a great extent, it’s a bit of a shield or barrier of a term that absolves ourselves from taking responsibility for our behaviours. At the end of the day we know ourselves best, or at least better than most people. This means we best understand our emotions, how we regulate them, how we control them etc. We have this epistemic bias towards ourselves, since we simply know more about ourselves therefore we will often reason that others have less. Sorry I couldn’t polish off my ideas more I gotta run bye friends".

Objective, subjective, and accurate reporting of social media use: No evidence that daily social media use correlates with personality traits, motivational states, or well-being.
Members of right-leaning parties prefer leaders with ‘dark triad’ personality traits
The ‘dark triad’ is made up of narcissism, Machiavellianism and psychopathy.

The Credit Card Debt Puzzle and Noncognitive Ability
Abstract Many households concurrently hold low-yield liquid assets while incurring costly credit card debt. In our sample, more than 80% of households with credit card debt also have low-yield liquid assets. Using data from the Health and Retirement Study (N = 30,517), we examine the role of noncognitive skills as well as the economic, financial, and demographic factors that affect the likelihood of co-holding. We find that the “Big Five” personality traits have a statistically significant and economically important effect: households with a more agreeable, introvert, and less conscientious head of household are more likely to co-hold. We also examine the role of intra-household dynamics.

Activation-Steered Personas in Task-Oriented LLM Agent Simulations
Large language models are increasingly used to simulate both user and system behavior in task-oriented dialogue (TOD). Yet personality control in these simulations remains largely prompt-based, making trait expression difficult to regulate and verify across dialogue turns. We investigate activation steering as an inference-time mechanism for inducing and adapting personality in TOD simulation. In our framework, user-side steering (US) applies fixed Big Five trait-pole activation vectors with scalar coefficients to generate users with different trait intensities. System-side adaptive steering (SA) dynamically adapts the system agent at each turn by predicting system-side steering coefficients from the dialogue context. We evaluate four steering conditions: an unsteered Baseline, SA, US, and US+SA, using the Schema-Guided Dialogue benchmark across the Restaurants and Movies domains. Qwen2.5-7B-Instruct is used as the primary model, and Llama-3.1-8B-Instruct is used as a robustness setting. Our results show that activation-level personality control affects TOD behavior, but its benefits depend on domain, trait observability, and steering strength. Compared with the unsteered Baseline, SA improves standard task metrics slightly, with larger gains in pairwise-judged user satisfaction and truthfulness, mainly in Restaurants, where dialogues contain richer personality-relevant slots and preferences. User-side steering produces observable personality expression only for some traits: socially or affectively expressive traits such as careless, outgoing, compassionate, and nervous become more detectable at stronger steering, while consistent and solitary remain difficult to observe in short TOD interactions. Adding SA to steered users yields modest task-level changes but a statistically significant improvement in pairwise-judged truthfulness (+8.3 pp) and user satisfaction (+2.7 pp). System-side composition analysis further shows that SA does not directly mirror the user's trait; it usually defaults to Conscientiousness-centered system behavior and becomes more socially adaptive when user trait expression is observable especially at higher steering scalar. Overall, activation steering is a viable alternative to prompt-based personality conditioning for controlled TOD simulation, but its effects must be evaluated with respect to trait observability, steering strength, and the personality relevance of the task domain.
Polyphenism
A polyphenic trait is a trait for which multiple, discrete phenotypes can arise from a single genotype as a result of differing environmental conditions. It is therefore a special case of phenotypic plasticity.


Is personality so predictably linked to chronological age that unique experiences usually play only a minor role in personality development? Comments and criticism are welcome on the intro draft of a paper proposing and testing this hypothesis. shorturl.at/QPKpw