The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Traditionally, cognitive and computer scientists have viewed intelligence solipsistically, as a
property of unitary agents devoid of social context. Given the success of contemporary …

Psychologists and neuroscientists extensively rely on computational models for studying
and analyzing the human mind. Traditionally, such computational models have been hand …

Humans learn to master open-ended repertoires of skills by imagining and practicing their
own goals. This autotelic learning process, literally the pursuit of self-generated (auto) goals …

The ongoing global race for bigger and better artificial intelligence (AI) systems is expected
to have a profound societal and environmental impact by altering job markets, disrupting …

An agent trained within a closed system can master any desired capability, as long as the
following three conditions hold:(a) it receives sufficiently informative and aligned …

This survey summarises the most recent methods for building and assessing helpful, honest,
and harmless neural language models, considering small, medium, and large-size models …

Humans often pursue idiosyncratic goals that appear remote from functional ends, including
information gain. We suggest that this is valuable because goals (even prima facie foolish or …

This study explored the potential of manual augmentation in enhancing the comprehension
and translation capabilities of large language models, specifically focusing on the LLaMA …

The interaction of language with perception, action, and cognition has been a recurring
theme across the cognitive sciences. Recently, research has emphasized the role of …