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Tag: computational demand

  • The Register: Pennsylvania’s once top coal power plant eyed for revival as 4.5GW gas-fired AI campus

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/04/02/pennsylvanias_largest_coal_plant/ Source: The Register Title: Pennsylvania’s once top coal power plant eyed for revival as 4.5GW gas-fired AI campus Feedly Summary: Seven gas turbines planned to juice datacenter demand by 2027 Developers on Wednesday announced plans to bring up to 4.5 gigawatts of natural gas-fired power online by 2027 at the site of…

  • Slashdot: OpenAI’s o1-pro is the Company’s Most Expensive AI Model Yet

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/20/0227246/openais-o1-pro-is-the-companys-most-expensive-ai-model-yet?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s o1-pro is the Company’s Most Expensive AI Model Yet Feedly Summary: AI Summary and Description: Yes Summary: OpenAI has recently introduced the o1-pro AI model, an enhanced version of their reasoning model, which is currently accessible to select developers at a significantly higher cost than previous models. This…

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

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    Kurt Seifried
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    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • Simon Willison’s Weblog: Quoting Ethan Mollick

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/ethan-mollick/ Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: After publishing this piece, I was contacted by Anthropic who told me that Sonnet 3.7 would not be considered a 10^26 FLOP model and cost a few tens of millions of dollars to train, though future models will be much bigger. —…

  • Hacker News: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.12962 Source: Hacker News Title: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach called InfiniRetri, which enhances long-context processing capabilities of Large Language Models (LLMs) by utilizing their own attention mechanisms for improved retrieval accuracy. This…

  • Simon Willison’s Weblog: Introducing GPT-4.5

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/27/introducing-gpt-45/#atom-everything Source: Simon Willison’s Weblog Title: Introducing GPT-4.5 Feedly Summary: Introducing GPT-4.5 GPT-4.5 is out today as a “research preview" – it’s available to OpenAI Pro ($200/month) customers but also to developers with an API key. OpenAI also published a GPT-4.5 system card. I’ve started work adding it to LLM but I don’t…

  • Slashdot: Jensen Huang: AI Has To Do ‘100 Times More’ Computation Now Than When ChatGPT Was Released

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/27/0158229/jensen-huang-ai-has-to-do-100-times-more-computation-now-than-when-chatgpt-was-released?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Jensen Huang: AI Has To Do ‘100 Times More’ Computation Now Than When ChatGPT Was Released Feedly Summary: AI Summary and Description: Yes Summary: Nvidia CEO Jensen Huang states that next-generation AI will require significantly more computational power due to advanced reasoning approaches. He discusses the implications of this…

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • Cloud Blog: Operationalizing generative AI apps with Apigee

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/api-management/using-apigee-api-management-for-ai/ Source: Cloud Blog Title: Operationalizing generative AI apps with Apigee Feedly Summary: Generative AI is now well  beyond the hype and into the realm of practical application. But while organizations are eager to build enterprise-ready gen AI solutions on top of large language models (LLMs), they face challenges in managing, securing, and…

  • Hacker News: Has DeepSeek improved the Transformer architecture

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    Kurt Seifried
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    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…