All articles tagged with #human cognition
Innovation theorist John Nosta argues that AI trains humans to think backward by providing polished answers before understanding, which may weaken human judgment and cognitive processes, especially at work, as AI emphasizes fluency over comprehension and can lead to a decline in independent thinking skills.
The article discusses the importance of critical thinking, scientific skepticism, and humility in understanding the world, highlighting Carl Sagan's work and the challenges of overcoming cognitive biases and magical thinking in human nature.
Scientists trained a large language model called Centaur on over 10 million responses from psychological experiments to mimic human behavior across various tasks, demonstrating its potential to serve as a tool for understanding human cognition, though it does not yet provide new theories of the mind.
A new study led by researchers at the University of Oxford challenges the belief that brain preservation in the archaeological record is extremely rare. The team compiled a new archive of preserved human brains, revealing that nervous tissues persist in much greater abundances than previously thought, with over 4,000 preserved human brains from over two hundred sources across six continents. The study sheds light on the environmental conditions and mechanisms that contribute to brain preservation, offering unique insights into ancient health, disease, and the evolution of human cognition and behavior.
Researchers have found that observers can accurately discern the intentions of gift shakers, determining whether they are trying to determine the quantity or shape of the items inside the box. This study highlights the human ability to interpret others' investigative actions and understand their learning objectives. The research demonstrates that subtle differences in actions can reveal underlying intentions, providing insights into human cognition.
Scientists have developed a neural network with the ability to generalize language, similar to humans. The AI system performs well in incorporating newly learned words into existing vocabulary and using them in different contexts, a key aspect of human cognition known as systematic generalization. This breakthrough could lead to more natural interactions between machines and humans. The neural network's performance surpassed that of the chatbot ChatGPT, which converses in a human-like manner but struggles with systematic generalization. The study demonstrates the potential for neural networks to emulate human cognition and improve language processing in AI systems.
A new study published in the journal PLoS ONE suggests that the ability to recognize and remember sequential information is likely unique to humans. The study tested the memory abilities of bonobos, one of humans' closest relatives, and found that they struggled to learn the order of stimuli. In contrast, humans were able to quickly distinguish between short sequences. The findings support the hypothesis that the ability to remember and process sequences evolved in humans, contributing to language, planning ability, and sequential thinking.