Mirror Particle 打造人类行为“世界模型”
原标题：Mirror Particle is building a ‘world model’ of human behavior
AI 摘要
旧金山初创公司 Mirror Particle 正在构建一个从零开始训练的“世界模型”，用于模拟人类行为及其随时间变化的动机，而非依赖 LLM 角色扮演来预测消费者行为。其 CEO Abhivyakti Ahuja 认为 LLM 只建模书面语言，无法捕捉视觉感知、空间推理与社会智能，因此该公司结合客户数据、时事、流行文化与社交媒体等专有数据，聚焦“真实行为”而非问卷自述。公司已获天使轮融资并接近完成首轮风投，将参加 TechCrunch Disrupt 2026 的 Startup Battlefield 200，初期面向市场调研与品牌产品策略。
正文节选
Startups that promise to predict how humans will behave are having a moment. Over the past year, Simile raised $200 million at a $2 billion valuation; Aaru raised $88 million at a $1 billion valuation; and Humans&, an AI startup that announced a massive $480 million seed round in January at a $4.48 billion valuation, launched Persimmon to model human behavior. The status quo for human behavior prediction today relies heavily on large language models (LLMs) that are prompted or fine-tuned to role