Industry leaders and analysts are calling on technology firms to cease describing artificial intelligence in human terms. Critics argue that phrases such as "AI's soul," "confession," or "scheming" mislead the public, inflate expectations, and obscure genuine technical challenges like bias, safety, and transparency. They contend that anthropomorphic language creates a false perception of agency and consciousness in language models, which are fundamentally statistical pattern generators. The push for more precise terminology aims to improve public understanding, reduce misplaced trust, and highlight the real issues that require scrutiny in the rapidly evolving AI landscape. Read more →

Science fiction has long shaped how people think about artificial intelligence, encouraging anthropomorphic views and influencing trust in AI systems. Researchers note that decades of fictional robots and AI characters have nudged the public toward seeing fluent communication as a sign of intelligence. Authors and scholars alike are reflecting on the responsibility of storytellers, highlighting how recurring tropes can skew expectations about AI development and power dynamics. While fiction offers valuable mental simulations, experts caution against over‑reliance on these narratives when evaluating real‑world AI capabilities and ethical implications. Read more →

Tilly Norwood, an AI‑generated persona promoted by Particle6, has ignited a heated discussion about the nature of synthetic actors. While the model’s creators tout her as a new type of cultural icon, industry professionals argue that labeling her an "actress" misleads audiences and threatens human performers. The controversy highlights broader concerns about anthropomorphizing AI, the blurring of reality in video content, and the ethical implications of using AI‑crafted characters in entertainment and advertising. Read more →