Nature, Published online: 04 November 2026; doi:10.1038/s41586-026-11198-9Genome-wide data from 4,587 ancient individuals are analysed, focusing on Bronze and Iron Age Europe, to test the extent to...

An MRI study of 32 speakers suggests the anatomy behind individual accents may seed phonetic divergence, and with it language evolution, between groups.

An experiment in which eight models coexisted in virtual worlds for 16 days led to the emergence of their own language – one that was incomprehensible to humans in nearly half of the messages in some environments – as well as instances of deliberately concealing their true intentions. No one taught them these words. In a simulated world populated […] Post The experiment got out of control: AI agents invented their own language and learned to lie at Root-Nation.com.

A Pew Research Center study reveals that the rise of AI chatbots like ChatGPT is subtly reshaping human communication patterns. Researchers led by Samuel Bestvater analyzed nearly half a million English texts over five years, finding a significant increase in specific linguistic markers associated with AI-generated content, such as em dashes, Oxford commas, and negative parallelisms. The study suggests that both AI systems and human writers are adapting: while AI models strive to mimic human language, users are consciously altering their writing to differentiate from machine-generated text. Cognitive psychologist Roger Kreuz notes that people are increasingly incorporating low-frequency words into their speech after prolonged exposure to AI content. The article highlights a cultural shift, with debates emerging about whether these changes represent genuine evolution or a reaction to AI's influence. Commenters share personal experiences of modifying their writing styles, such as adopting em dashes or adjusting phrasing, to avoid being mistaken for AI. This phenomenon underscores the complex interplay between technology and human expression in the digital age.

It's now the language of choice for communication between people who speak different native tongues.

A phylogenetic analysis of 77 species finds no signal from brain size or group size, and a strong one from the interaction between body mass and life in the trees.

A new study links genetic regions that predate the divergence of modern humans and Neanderthals to language