Experimental News Clipping Site

Tag: performance variability

  • Simon Willison’s Weblog: Quoting Ethan Mollick

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/9/ethan-mollick/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: The issue with GPT-5 in a nutshell is that unless you pay for model switching & know to use GPT-5 Thinking or Pro, when you ask “GPT-5” you sometimes get the best available AI & sometimes get one of the worst AIs…

  • Hacker News: Evaluating modular RAG with reasoning models

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    Kurt Seifried
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    Source URL: https://www.kapa.ai/blog/evaluating-modular-rag-with-reasoning-models Source: Hacker News Title: Evaluating modular RAG with reasoning models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the challenges and potential of Modular Retrieval-Augmented Generation (RAG) systems using reasoning models like o3-mini. It emphasizes the distinction between reasoning capabilities and practical experience in tool usage, highlighting insights…

  • Hacker News: Understanding SIMD: Infinite Complexity of Trivial Problems

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    Source URL: https://www.modular.com/blog/understanding-simd-infinite-complexity-of-trivial-problems Source: Hacker News Title: Understanding SIMD: Infinite Complexity of Trivial Problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements and challenges surrounding SIMD (Single Instruction, Multiple Data) operations, particularly in the context of high-performance computing for AI applications. The focus is on how to effectively leverage modern…

  • Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-handle-429-resource-exhaustion-errors-in-your-llms/ Source: Cloud Blog Title: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors Feedly Summary: Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to…

  • Wired: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be

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    Source URL: https://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/ Source: Wired Title: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be Feedly Summary: The new frontier in large language models is the ability to “reason” their way through problems. New research from Apple says it’s not quite what it’s cracked up to be. AI Summary and Description: Yes Summary: The study…