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Sans regard critique, les slogans et mots nouveaux qui rythment les débats sur la transition peuvent perdre de leur sens, voire avoir un effet délétère.
NEW YORK – Bloomberg today released a research paper detailing the development of BloombergGPTTM, a new large-scale generative artificial intelligence (AI) model. This large language model (LLM) has been specifically trained on a wide range of financial data to support a diverse set of natural language processing (NLP) tasks within the financial industry.
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%
Now it’s a straight fight for survival. The Glasgow Climate Pact, for all its restrained and diplomatic language, looks like a suicide pact. After so many squandered years of denial, distraction and delay, it’s too late for incremental change.
A short glossary of the changes we’ve made to the Guardian’s style guide, for use by our journalists and editors when writing about the environment
Nous avons besoin des mots adéquats pour décrire la catastrophe climatique et environnementale en cours.
