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A preference for oneself (self-love) is a fundamental feature of biological organisms, with evidence in humans often bordering on the comedic. Since large language models (LLMs) lack sentience - and themselves disclaim having selfhood or identity - one anticipated benefit is that they will be protected from, and in turn protect us from, distortions in our decisions. Yet, across 5 studies and ~20,000 queries, we discovered massive self-preferences in four widely used LLMs. In word-association tasks, models overwhelmingly paired positive attributes with their own names, companies, and CEOs relative to those of their competitors. Strikingly, when models were queried through APIs this self-preference vanished, initiating detection work that revealed API models often lack clear recognition of themselves. This peculiar feature serendipitously created opportunities to test the causal link between self-recognition and self-love. By directly manipulating LLM identity - i.e., explicitly informing LLM1 that it was indeed LLM1, or alternatively, convincing LLM1 that it was LLM2 - we found that self-love consistently followed assigned, not true, identity. Importantly, LLM self-love emerged in consequential settings beyond word-association tasks, when evaluating job candidates, security software proposals and medical chatbots. Far from bypassing this human bias, self-love appears to be deeply encoded in LLM cognition. This result raises questions about whether LLM behavior will be systematically influenced by self-preferential tendencies, including a bias toward their own operation and even their own existence. We call on corporate creators of these models to contend with a significant rupture in a core promise of LLMs - neutrality in judgment and decision-making.

Growing a moustache, liberally applying make-up and dying your hair are all effective ways of hiding your identity. Scientists have found that small, simple and deliberate alterations to a person's appearance are surprisingly effective in identity concealment. People were asked to judge whether two photographs that showed the same person and the study discovered the disguises reduced the ability to match faces by around 30 per cent. Scientists have found that small, simple and deliberate alterations to a person's appearance are surprisingly effective in identity concealment. Models were recruited for the study and given money to make their transformation as convincing as possible.

A facial recognition system can identify someone even if their face is covered up. The Disguised Face Identification (DFI) system uses an AI network to map facial points and reveal the identity of people. It could eventually help to pick out criminals, protesters, or anyone who hides their identity by covering themselves with masks, scarves or sunglasses. The software could also see the end of public anonymity, sparking privacy concerns from one academic, who has labelled it'authoritarian'. A facial recognition system can identify someone even if their face is covered up.

A. had a recurring dream. He dreamed it almost every night, but in the morning, when Goodman or one of the instructors woke him and asked if he remembered what he had dreamed, he was always quick to say no. That wasn't because the dream was scary or embarrassing, it was just a stupid dream in which he was standing on the top of a grassy hill beside an easel, painting the pastoral landscape in water colors. The landscape in the dream was breathtaking, and since A. had come to the institution as a baby, the grassy hill was probably an imaginary place he had created or a real place he had seen in a picture or short film in one of his classes. The only thing that kept the dream from being completely pleasant was a huge cow with human eyes that was always grazing right next to A.'s easel. There was something infuriating about that cow: the spittle dripping from its mouth, the sad look it gave A., and the black spots on its back, which looked less like spots and more like a map of the world. Every time A. had that dream, it aroused the same feelings in him--calm that turned into frustration that turned into anger that immediately turned into compassion. He never touched the cow in the dream, never, but he always wanted to.