Author

Simon Osindero

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Preprint Sep 2026

Agentic Economies for Autonomous Scientific Discovery

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

#machine learning Open access Mar 2026

Causal evidence that language models use confidence to drive behaviour

Metacognition—assessing the quality of one’s own cognitive performance—guides adaptive behaviour across species. Confidence signals can be extracted from language model outputs, yet a fundamental question remains: do models actually use these signals to decide whether to answer or abstain? Here we developed a four-phas...

D. Kumaran, N. Daw, Simon Osindero et al. · Nature Machine Intelligence · 11 citations

Jul 2026

AI Value Alignment for Evolving Social Norms

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