OpenAI’s o3 model scored at human level on a benchmark test for artificial general intelligence – far higher than any results before.
Articles on AGI
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AI systems more intelligent than humans in some ways already exist – but general-purpose superhuman intelligence is probably still a long way off.
Reaching artificial general intelligence is one thing; knowing when we’ve got there is another.
Is it possible to ‘align’ AI systems to human interest? A new plan to build an AI system to solve this problem highlights the limits of the idea.
I study artificial general intelligence, and I believe the ongoing fearmongering is at least partially attributable to large AI developers’ financial interests.
Some some said AI would not just reach human-level intelligence, but would probably surpass it.
Artificial general intelligence has suddenly become a pressing topic – but there’s more than one way to look at this issue.
Experts largely agree that AI with human-level capabilities is not that far off. How will this change out relationship with machines?
Top contributors
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PhD Student, School of Computing, Australian National University
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Biomedical Engineer and Neuroscientist, University of Sydney
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Philosopher, University of New England
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Lecturer in Business Analytics, University of Sydney
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Co-Director, Professor, Centre for Change and Complexity in Learning, Adelaide University
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Professor and Head of the Department of Philosophy, and Co-Director of the Macquire University Ethics & Agency Research Centre, Macquarie University
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Lecturer in AI and Data Science, Swinburne University of Technology
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Professor of Artificial Intelligence, Faculty of Business and Hospitality, Torrens University Australia
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Innovation Director, Surrey Institute of People-Centred AI, University of Surrey
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Professor, School of Computer Science and Engineering, inaugural Cisco Chair of Digital Transport & AI, UNSW
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Lecturer in the Philosophy of Science, University of New England
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Research Fellow, Stanford Center for Responsible Quantum Technology, Stanford University