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In recent months we have seen lifechanging technological advances in the capabilities and use of artificial intelligence. At the same time, we are witnessing new, life-threatening risks as a result of AI – from the propagation of disinformation, to mass surveillance, to the prospect of lethal autono
Foundational innovation in cloud technology and artificial intelligence will require more energy than ever before—shattering any illusion that we will restrict supplies.
After yet another summer of increased extreme weather events caused by the burning of fossil fuels, some of the world’s richest oil and gas companies are investing in artificial intelligence (AI) to speed up their extraction of new oil and gas.
Ask climate-related questions to the IPCC reports
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%
Machine learning is producing impressive results, and, for better or worse, researchers are now using it to address the climate crisis, writes Frederick Hewett.
