I would love to see that level of detail — it would be enormously helpful to reporters like myself as we try to understand and communicate to our readers about the environmental costs of AI.
SUSTAINABILITY
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Training Cost Estimation Errors in Large Language Models
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I guess this is where we disagree about whether an error of 3261X in estimating the cost of training a language model, or conflating a completely different one-time task to perform a neural architecture search (and overestimating that cost by 88X) to find more energy efficient
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IBM NASA develop AI model for weather climate prediction
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Developed by IBM and NASA, with contributions from Oak Ridge National Laboratory, the model is claimed to offer a flexible, scalable way to address a variety of challenges related to short-term weather as well as long-term climate projection. Click on the link to know more!
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IEEE SA Panel on Planet Positive 2030 and AI Ethics Budapest
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Excited to be at the Humans In Charge symposium in Budapest with brilliant friends @maria_axente
, @arkoene and the amazing @KayFButterfield
. Speaking on a panel later today about our work at @IEEESA on Planet Positive 2030, Age Appropriate Design and AI Ethics. -
Qlik Joins UN Global Compact Using AI Data Sustainability
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Scaling Sustainability and Equality Impact! With the power of Data and AI! As @qlik announces its participation in the UN Global Compact @UN See: http://
bit.ly/QlikUNGlobalCo
mpact
… This deepens a 10-year partnership between #Qlik and the @UN to support a variety of global -
Environmental impacts of AI: keeping discussion civil
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I'd prefer if we kept the discussion around the actual topic of environmental impacts of AI. Please don't introduce incivility into a civilized discussion.
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AI Environmental Claims: Misinformation and Carbon Footprint Accuracy
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But you're also aware that the "lifetime of five cars" number is wrong by orders of magnitude. Yet, just last month, you're a co-author on a blog post that continues to propagate this misinformation. https://
huggingface.co/blog/sasha/ai-
environment-primer
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Environmental costs of AI research and data integrity issues
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I'm all for that. However that single number is still clouding people's assessment of the environmental costs (e.g. see how this thread started), and @strubell has flatly refused to amend the Arxiv or ACL paper with correct data, and has even co-authored papers after knowing
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AI Agent Proliferation Drives Energy Demand Explosion
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I meant mainly energy for inference, not training. Even if each AI agent consumed little (say, 1 iPhone's worth), the demand will explode as people want more agents – 2, then 10, 100, millions per person. It's this proliferation, not individual inefficiency, that'll drive energy
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AI and Finance Transform Energy Sector at ADIPEC 2024
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How can industries use #AI and #finance to transform the #energy sector? #ADIPEC 2024 will highlight how these forces are coming together to shape the future of energy!
— Harold Sinnott #MWC26 (@HaroldSinnott) 6 octobre 2024
Join @ADIPECOfficial #ADNOC @Hal_Good @gvalan @Analytics_699
Watch the video:pic.twitter.com/CUPDNAt6EHHow can industries use #AI and #finance to transform the #energy sector? #ADIPEC 2024 will highlight how these forces are coming together to shape the future of energy! Join @ADIPECOfficial #ADNOC @Hal_Good @gvalan @Analytics_699 Watch the video: