Recent advances in agentic Artificial Intelligence (AI) systems have marked a shift in AI for Science: moving away from the use of individual AI systems for narrow task execution, toward multi-agent systems capable of orchestrating complex, end-to-end research workflows and performing (semi-)autonomous scientific disco...
Nenad Tomasev, Matija Franklin, Atoosa Kasirzadeh et al.· 0 citations
This work introduces a flexible and extensible mathematical modelling framework, rooted in social physics, aimed at answering macro-level questions regarding the evolving social norms in human populations under the assumption of frequent AI use, and advocates for the wider adoption of these kinds of social physics mode...
Nenad Tomasev, Matija Franklin, Simon Osindero· arXiv.org· 1 citation
How AI itself might continue to develop in a post-AGI world along the continuum of machine intelligence is investigated, which can intuitively be understood as a system that is more intelligent and cognitively capable than large organisations of humans.
Tim Genewein, Matija Franklin, Alexander Lerchner et al.· arXiv.org· 4 citations
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