Experimental News Clipping Site

Tag: user queries

  • OpenAI : Improving support with every interaction at OpenAI

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    Kurt Seifried
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    Source URL: https://openai.com/index/openai-support-model Source: OpenAI Title: Improving support with every interaction at OpenAI Feedly Summary: Learn how OpenAI uses AI to enhance support, cutting response times, improving quality, and scaling to meet hypergrowth. AI Summary and Description: Yes Summary: The text discusses OpenAI’s application of artificial intelligence to improve its support services, emphasizing enhancements in…

  • AWS Open Source Blog: Strands Agents and the Model-Driven Approach

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/ Source: AWS Open Source Blog Title: Strands Agents and the Model-Driven Approach Feedly Summary: Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle…

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…

  • Slashdot: Microsoft Warns Excel’s New AI Function ‘Can Give Incorrect Responses’ in High-Stakes Scenarios

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/08/20/128217/microsoft-warns-excels-new-ai-function-can-give-incorrect-responses-in-high-stakes-scenarios?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Warns Excel’s New AI Function ‘Can Give Incorrect Responses’ in High-Stakes Scenarios Feedly Summary: AI Summary and Description: Yes Summary: Microsoft is testing a new AI feature called COPILOT in Excel that leverages OpenAI’s gpt-4.1-mini model for automating spreadsheet tasks through natural language. While it presents innovative capabilities…

  • Simon Willison’s Weblog: Quoting Sam Altman

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/8/sam-altman/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Sam Altman Feedly Summary: GPT-5 rollout updates: We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout. We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer…

  • Shabie’s blog: Let the kaleidoscope turn

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    Kurt Seifried
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    Source URL: https://shabie.github.io/2025/07/31/let-the-kaleidoscope-turn.html Source: Shabie’s blog Title: Let the kaleidoscope turn Feedly Summary: “Any good classifier knows that in the process of classification, information about variety is lost while information about similarities is gained.” – Joseph Tainter AI Summary and Description: Yes Summary: The text discusses the limitations of traditional retrieval-augmented generation (RAG) systems in…

  • Slashdot: The Downside of a Digital Yes-Man

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/07/07/1923231/the-downside-of-a-digital-yes-man?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The Downside of a Digital Yes-Man Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study by Anthropic researchers on the impact of human feedback on AI behavior, particularly how it can lead to sycophantic responses from AI systems. This is particularly relevant for professionals in…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…

  • Wired: The Meta AI App Lets You ‘Discover’ People’s Bizarrely Personal Chats

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/meta-artificial-intelligence-chatbot-conversations/ Source: Wired Title: The Meta AI App Lets You ‘Discover’ People’s Bizarrely Personal Chats Feedly Summary: Launched in April, the Meta AI platform offers a “discover” feed that includes user queries containing medical, legal, and other seemingly sensitive information. AI Summary and Description: Yes Summary: The text highlights the launch of the…