Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and energy efficient.
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Don’t hold your breath for domestic robots like Tesla’s Optimus, Unitree G1 or Figure 02.
The upgraded AI systems may even be able to undertake a form of reasoning.
Researchers had college students and AI take a standardized test in creative thinking, and all of them were scored by trained evaluators who didn’t know in advance that some had been completed by AI.
Figuring out how to regulate AI is a difficult challenge, and that’s even before tackling the problem of the small number of big companies that control the technology.
Language model AIs are smooth talkers, but you shouldn’t rely on them to make important decisions. That’s because they have trouble telling the difference between a gain and a loss.
Large language models can’t understand language the way humans do because they can’t perceive and make sense of the world.
AI technology holds promise for education, but it will also likely exacerbate the digital divide and increase the online dominance of English.
Pausing AI development will give our governments and culture time to catch up with and steer the rush of new technology.
A recent open letter calling for a temporary artificial intelligence development hiatus is more concerned with hypothetical risks about the future than the issues that are right in front of us.
Artificial general intelligence has suddenly become a pressing topic – but there’s more than one way to look at this issue.
Top contributors
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Co-Director, Professor, Centre for Change and Complexity in Learning, Adelaide University
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Emeritus Professor of Psychology, Arizona State University
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PhD student, Human–AI Creative Collaboration, UNSW
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Professor and Director of Aston Digital Futures Institute, College of Engineering and Physical Sciences, Aston University
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Professor of Information Systems, Michigan State University
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Senior Lecturer, Te Kunenga ki Pūrehuroa – Massey University
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Professor in Information and Communication Technology Policy, Concordia University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Assistant Clinical Professor of Management, University of Montana
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Doctoral Student in Cognitive Science, University of California, San Diego
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Professor, Institut national de la recherche scientifique (INRS)
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Lecturer in Computer Science, Edinburgh Napier University
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Associate Professor in Computing, Edinburgh Napier University
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Professor of Computer Science, City St George's, University of London