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Launched at the COP30 Belém Climate Summit, the Global Status of Multi-Hazard Early Warning Systems 2025 report provides a snapshot of progress in the implementation of the UN's flagship Early Warnings for All (EW4All) initiative, which aims to protect every person on Earth with an early warning system by 2027. The report reveals measurable progress, with 119 countries, or 60% of all countries, now reporting the existence of a Multi-Hazard Early Warning System. This is a 113% increase over the past 10 years. However, coverage gaps persist, especially among small island developing States, as only 43% of them reported having systems in place.

We investigate the potential implications of large language models (LLMs), such as Generative Pretrained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own. Using a new rubric, we assess occupations based on their alignment with LLM capabilities, integrating both human expertise and GPT-4 classifications. Our findings reveal that around 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of LLMs, while approximately 19% of workers may see at least 50% of their tasks impacted. We do not make predictions about the development or adoption timeline of such LLMs. The projected effects span all wage levels, with higher-income jobs potentially facing greater exposure to LLM capabilities and LLM-powered software. Significantly, these impacts are not restricted to industries with higher recent productivity growth. Our analysis suggests that, with access to an LLM, about 15%

The Atlantic Meridional Overturning Circulation (AMOC), a major ocean current system transporting warm surface waters toward the northern Atlantic, has been suggested to exhibit two distinct modes of operation. A collapse from the currently attained strong to the weak mode would have severe impacts on the global climate system and further multi-stable Earth system components. Observations and recently suggested fingerprints of AMOC variability indicate a gradual weakening during the last decades, but estimates of the critical transition point remain uncertain.