AI safety and harms · Friday 9 October 2026 · Topics · Singapore

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Researchers are studying how language-model agents develop polarisation.

2 reports · 9 Oct

Summary · from headlines2 points

Polarization emerges in networks of large language model agents.
A Mount Sinai study finds safety prompts can help AI models make safer clinical choices.

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Mount Sinai study finds safety prompts can help AI models make safer clinical choices

EurekAlert! Science News Releases9 Oct · 03:04

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Emergence of polarization in networks of large language model agents

Nature9 Oct · 03:04

Timeline 2 reports

9 Oct 20262 reportsToday

03:002 reports

Mount Sinai study finds safety prompts can help AI models make safer clinical choices EurekAlert! Science News Releases
Emergence of polarization in networks of large language model agents Nature

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Topic — AI safety and harms

Researchers are studying how language-model agents develop polarisation.

Timeline 2 reports

03:002 reports