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Produite à partir de cellules en prolifération dans des bioréacteurs, la « viande de culture » est présentée comme une solution à la demande grandissante en protéines animales sans certains des inconvénients de l’élevage. Ce premier article décrit les qualités sanitaires, nutritionnelles et organoleptiques à partir des connaissances disponibles. Un point d’attention concerne la composition et le coût du milieu de culture, notamment concernant les alternatives au sérum de veau fœtal. L’innocuité de ce nouvel aliment fait débat entre les scientifiques, avec, d’un côté ceux qui affirment que la consommation de la « viande de culture » sera plus sûre que celle de la viande conventionnelle, et ceux qui, au contraire, sont plus prudents, considérant que les risques sanitaires ne sont pas entièrement connus.

Cell-based food production, which is the field of growing animal agricultural products directly from cell cultures, has been explored as an alleged sustainable alternative to the conventional livestock agricultural system. As commercial cell-based food production continues to expand, the urgency increases to address one of the most important questions of consumers, the question of food safety. Thus, the Food and Agriculture Organization of the United Nations (FAO), in collaboration with the World Health Organization (WHO), has developed the present document to engage with respective Members and relevant stakeholders by proactively sharing the current knowledge to identify concrete ways to inform consumers and all other stakeholders about the food safety considerations for cell-based food products. This document includes a literature synthesis of relevant terminology issues, principles of cell-based food production processes and the global landscape of regulatory frameworks for cell-based food production.

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%

L'intelligence artificielle (IA) est un « ensemble de théories et de techniques mises en œuvre en vue de réaliser des machines capables de simuler l'intelligence humaine ».