environmental impact – Page 7 – Experimental News Clipping Site

Hacker News: Things we learned out about LLMs in 2024

Dec 31, 2024

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Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/ Source: Hacker News Title: Things we learned out about LLMs in 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant advancements and trends in Large Language Models (LLMs) throughout 2024, highlighting new technologies, efficiency improvements, cost reductions, and issues such as model usability and environmental impact. It…

Simon Willison’s Weblog: Things we learned out about LLMs in 2024

Dec 31, 2024

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Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

AlgorithmWatch: A Year of Challenging Choices – 2024 in review

Dec 23, 2024

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Source URL: https://algorithmwatch.org/en/a-year-of-challenging-choices-2024-in-review/ Source: AlgorithmWatch Title: A Year of Challenging Choices – 2024 in review Feedly Summary: 2024 was a “super election" year and it marked the rise of generative Artificial Intelligence. With the adoption of the AI Act, it seemed poised to be the moment we finally gained control over automated systems. Yet, that…

The Register: Fining Big Tech isn’t working. Make them give away illegally trained LLMs as public domain

Dec 22, 2024

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Source URL: https://www.theregister.com/2024/12/22/ai_poisoned_tree/ Source: The Register Title: Fining Big Tech isn’t working. Make them give away illegally trained LLMs as public domain Feedly Summary: It’s all made from our data, anyway, so it should be ours to use as we want Opinion Last year, I wrote a piece here on El Reg about being murdered…

Wired: Generative AI and Climate Change Are on a Collision Course

Dec 18, 2024

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Source URL: https://www.wired.com/story/true-cost-generative-ai-data-centers-energy/ Source: Wired Title: Generative AI and Climate Change Are on a Collision Course Feedly Summary: From energy to resources, data centers have grown too greedy. AI Summary and Description: Yes Summary: The text highlights the environmental impact of AI, particularly the energy consumption and resource use associated with large language models (LLMs)…

Wired: Big Tech Will Scour the Globe in Its Search for Cheap Energy

Dec 16, 2024

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Source URL: https://www.wired.com/story/big-tech-data-centers-cheap-energy/ Source: Wired Title: Big Tech Will Scour the Globe in Its Search for Cheap Energy Feedly Summary: Warehouses full of servers are hungry for power, no matter who supplies it. AI Summary and Description: Yes Summary: The text discusses the burgeoning industry of data centers in Johor, Malaysia, particularly fueled by generative…

The Register: Google thinks the grid can’t support AI, so it’s spending on solar for future datacenters

Dec 12, 2024

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Source URL: https://www.theregister.com/2024/12/12/google_solar_energy_datacenter/ Source: The Register Title: Google thinks the grid can’t support AI, so it’s spending on solar for future datacenters Feedly Summary: Deal with Intersect Power will see gigawatts of compute capacity come online Google believes the US electricity grid can’t deliver the energy needed to power datacenters that deliver AI services, so…

Simon Willison’s Weblog: Meta AI release Llama 3.3

Dec 6, 2024

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Source URL: https://simonwillison.net/2024/Dec/6/llama-33/#atom-everything Source: Simon Willison’s Weblog Title: Meta AI release Llama 3.3 Feedly Summary: Meta AI release Llama 3.3 This new Llama-3.3-70B-Instruct model from Meta AI makes some bold claims: This model delivers similar performance to Llama 3.1 405B with cost effective inference that’s feasible to run locally on common developer workstations. I have…

Hacker News: Accelerated AI Inference via Dynamic Execution Methods

Dec 3, 2024

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Source URL: https://arxiv.org/abs/2411.00853 Source: Hacker News Title: Accelerated AI Inference via Dynamic Execution Methods Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper discusses innovative Dynamic Execution methods that optimize AI inference by improving computational efficiency and reducing resource demands. These methods can enhance performance in generative AI applications like large language models…

Hacker News: What happens if we remove 50 percent of Llama?

Dec 2, 2024

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Source URL: https://neuralmagic.com/blog/24-sparse-llama-smaller-models-for-efficient-gpu-inference/ Source: Hacker News Title: What happens if we remove 50 percent of Llama? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document introduces Sparse Llama 3.1, a foundational model designed to improve efficiency in large language models (LLMs) through innovative sparsity and quantization techniques. The model offers significant benefits in…

Tag: environmental impact