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At the heart of the discipline of artificial intelligence is the idea that one day we'll be able to build a machine that's as smart as a human. Such a system is often referred to as an artificial general intelligence, or AGI, which is a name that distinguishes the concept from the broader field of study. It also makes it clear that true AI possesses intelligence that is both broad and adaptable. To date, we've built countless systems that are superhuman at specific tasks, but none that can match a rat when it comes to general brain power.

Published: December 24, 2024 6.50am CET Michael Timothy Bennett, Australian National University, Elija Perrier, Stanford University A new artificial intelligence (AI) model has just achieved human-level results on a test designed to measure "general intelligence". On December 20, OpenAI's o3 system scored 85% on the ARC-AGI benchmark, well above the previous AI best score of 55% and on par with the average human score. It also scored well on a very difficult mathematics test.

"The teaching professions face rapidly changing demands, which require a new, broader and more sophisticated set of competences than before. The ubiquity of digital devices and applications, in particular, requires educators to develop their digital competence. The European Framework for the Digital Competence of Educators (DigCompEdu) is a scientifically sound framework describing what it means for educators to be digitally competent. It provides a general reference frame to support the development of educator-specific digital competences in Europe. DigCompEdu is directed towards educators at all levels of education, from early childhood to higher and adult education, including general and vocational education and training, special needs education, and non-formal learning contexts."

We've trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization-all without task-specific training.

The emergence of new media and platforms has compelled media literacy scholars to review their theoretical frameworks and methodological approaches. Based on a new conception -'transmedia literacy'- that moves from traditional media lite-racy (teaching critical media skills at school) to informal learning and participatory cultures, the research behind the present article aims to understand how new generations are doing things with media and how they learn to do the things they do. The outputs of this international research that involved 8 countries were organised into three sections: 1) transmedia skills, 2) informal learning strategies and 3) emergent issues regarding teens, new media and collaborative cultures. Finally, the article deals with the future perspectives of transmedia literacy as a research and action programme.

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Large language models such as OpenAI's o1 have electrified the debate over achieving artificial general intelligence, or AGI. But they are unlikely to reach this milestone on their own.

Artificially intelligent tools for naturally creative humans

As AI pushes the boundaries of chip design, it raises a dilemma: can we trust systems we don't fully understand?