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Scenarios serve as a critical tool in climate change analysis, enabling the exploration of future evolution of the climate system, climate impacts, and the human system (including mitigation and adaptation actions). This paper describes the scenario framework for ScenarioMIP as part of CMIP7. The design process has involved various rounds of interaction with the research community and user groups at large. The proposal covers a set of scenarios exploring high levels of climate change (to explore high-end climate risks), medium levels of climate change (anchored to current policy), and low levels of climate change (aligned with current international agreements). These scenarios follow very different trajectories in terms of emissions, with some likely to experience peaks and subsequent declines in greenhouse gas concentrations in this century. An important innovation is that most scenarios are intended to be run, if possible, in emission-driven mode, providing a better representation of the Earth system uncert

A California outfit has used artificial intelligence to design viral genomes before they were then built and tested in a laboratory. Following this, bacteria was then successfully infected with a number of these AI-created viruses, proving that generative models can create functional genetics. "The first generative design of complete genomes." That's what researchers at Stanford University and the Arc Institute in Palo Alto called the results of these experiments. A biologist at NYU Langone Health, Jef Boeke, celebrated the experiment as a substantial step towards AI-designed lifeforms, according to MIT Technology Review. "They saw viruses with new genes, with truncated genes, and even different gene orders and arrangements," Boeke said.

Identifying the socio-economic drivers behind greenhouse gas emissions is crucial to design mitigation policies. Existing studies predominantly analyze short-term CO2 emissions from fossil fuels, neglecting long-term trends and other GHGs. We examine the drivers of all greenhouse gas emissions between 1820–2050 globally and regionally. The Industrial Revolution triggered sustained emission growth worldwide—initially through fossil fuel use in industrialized economies but also as a result of agricultural expansion and deforestation. Globally, technological innovation and energy mix changes prevented 31 (17–42) Gt CO2e emissions over two centuries. Yet these gains were dwarfed by 81 (64–97) Gt CO2e resulting from economic expansion, with regional drivers diverging sharply: population growth dominated in Latin America and Sub-Saharan Africa, while rising affluence was the main driver of emissions elsewhere. Meeting climate targets now requires the carbon intensity of GDP to decline 3 times faster than the global

Climate change will affect every aspect of our lives – including the buildings we live and work in. Most people in the US, for example, spend about 90% of their time indoors. Climate change is fundamentally altering the environmental conditions in which these buildings are designed to function.