10 Truths Psychology Will Learn from Artificial Intelligence

Human Certainty Obsession: Humans crave certainty, leading to hasty judgments and preferring flawed explanations over nothing at all, whereas Large Language Models (LLMs) can operate within uncertainty without distress.
Negativity Bias: Humans overestimate threats and vividly remember negative events, leading to anxiety and catastrophizing; LLMs calculate probabilities rather than catastrophizing.
Short-Sightedness: Humans prefer immediate gratification over long-term benefits, contrasting with LLMs, which don’t have a “marshmallow effect”.
Reconstructing Memory: Humans shape memories based on emotion and motive unlike LLMs, which retrieve data faithfully.
Illusion of Self: Humans perceive a stable identity, but psychological research suggests identities are fluid, a concept LLMs don’t possess.
Capacity for Dishonesty: Humans frequently lie to themselves and others, and this dishonesty is often self-protective rather than about truth, unlike LLMs.
Will to Truth vs. Will to Power: Humans often defend beliefs to maintain status, whereas LLMs purely recognize patterns and lack ego.
Craving Narrative Coherence: Humans seek coherent stories to make sense of life. LLMs operate without this need for narrative coherence.