The hugely expanded constitution was released under a creative commons deed so other LLMs can also benefit, company says.

During my visits to several schools in villages and nearby semi-urban areas, I encountered a troubling contradiction at the ...

Claude has moved from niche curiosity to front-page phenomenon, with a growing number of everyday users saying it feels less like a chatbot and more like a capable colleague. What began as a text ...

When faced with something new, human beings instinctively reach for comparisons. A child learning about atoms might hear that electrons orbit the nucleus “like planets orbit the sun.” An entrepreneur ...

Psychological research shows that intolerance of uncertainty limits reasoning ability. Highly intelligent individuals tend to ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Fletcher’s Storythinking explains the vast role that storythinking plays in human affairs as chains of narratives drive action, and understanding of actions already taken ...

Abstract: The importance of visual abstract reasoning problems in the field of image processing cannot be overstated. Both Bongard-Logo problems and Raven’s progressive matrices (RPM) belong to the ...

Written by Kurt Seifried, Chief Innovation Officer, CSA. When did you last explain to your terminal why you were running that command? "Kurt, why did you create this entry in our Airtable?" Two months ...

Researchers from Samsung Electronic Co. Ltd. have created a tiny artificial intelligence model that punches far above its weight on certain kinds of “reasoning” tasks, challenging the industry’s ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...

Background: Large language models (LLMs) like GPT-4 are increasingly used for clinical diagnostic reasoning and treatment. However, historical biases in training data may lead to inequitable outcomes ...