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Tag: Large Language Models (LLMs)

  • Simon Willison’s Weblog: Claude Sonnet 4 now supports 1M tokens of context

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/12/claude-sonnet-4-1m/ Source: Simon Willison’s Weblog Title: Claude Sonnet 4 now supports 1M tokens of context Feedly Summary: Claude Sonnet 4 now supports 1M tokens of context Gemini and OpenAI both have million token models, so it’s good to see Anthropic catching up. This is 5x the previous 200,000 context length limit of the…

  • Slashdot: LLMs’ ‘Simulated Reasoning’ Abilities Are a ‘Brittle Mirage,’ Researchers Find

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/08/11/2253229/llms-simulated-reasoning-abilities-are-a-brittle-mirage-researchers-find?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: LLMs’ ‘Simulated Reasoning’ Abilities Are a ‘Brittle Mirage,’ Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: Recent investigations into chain-of-thought reasoning models in AI reveal limitations in their logical reasoning capabilities, suggesting they operate more as pattern-matchers than true reasoners. The findings raise crucial concerns for industries…

  • Simon Willison’s Weblog: AI for data engineers with Simon Willison

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/11/ai-for-data-engineers/#atom-everything Source: Simon Willison’s Weblog Title: AI for data engineers with Simon Willison Feedly Summary: AI for data engineers with Simon Willison I recorded an episode last week with Claire Giordano for the Talking Postgres podcast. The topic was “AI for data engineers" but we ended up covering an enjoyable range of different…

  • The Register: Meet President Willian H. Brusen from the great state of Onegon

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/08/gpt-5-fake-presidents-states/ Source: The Register Title: Meet President Willian H. Brusen from the great state of Onegon Feedly Summary: LLMs still struggle with accurate text within graphics hands on OpenAI’s GPT-5, unveiled on Thursday, is supposed to be the company’s flagship model, offering better reasoning and more accurate responses than previous-gen products. But when…

  • Cloud Blog: Looker debuts MCP Server to broaden AI developer access to data

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/business-intelligence/introducing-looker-mcp-server/ Source: Cloud Blog Title: Looker debuts MCP Server to broaden AI developer access to data Feedly Summary: As companies integrate AI into their workflows, connecting new tools to their existing data while ensuring consistent security and accuracy becomes increasingly important. We’re introducing Looker Model Context Protocol (MCP) Server, an integration in the…

  • Microsoft Security Blog: Announcing public preview: Phishing triage agent in Microsoft Defender

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    Kurt Seifried
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    Source URL: https://techcommunity.microsoft.com/blog/microsoftthreatprotectionblog/announcing-public-preview-phishing-triage-agent-in-microsoft-defender/4438301 Source: Microsoft Security Blog Title: Announcing public preview: Phishing triage agent in Microsoft Defender Feedly Summary: The Phishing Triage Agent in Microsoft Defender is now available in Public Preview. It tackles one of the most repetitive tasks in the SOC: handling reports of user-submitted phish. The post Announcing public preview: Phishing triage…

  • Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…