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Tag: hallucination

  • Cloud Blog: 150 of the latest AI use cases from leading startups and digital natives

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/startups/150-ai-use-cases-leading-startups-and-digital-natives/ Source: Cloud Blog Title: 150 of the latest AI use cases from leading startups and digital natives Feedly Summary: We recently hosted our first-ever AI Builders Forum, where we gathered with hundreds of the top founders, VCs, advisors, researchers, and teams powering the startups who are building the future with AI. And…

  • Slashdot: A ‘Godfather of AI’ Remains Concerned as Ever About Human Extinction

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/10/01/1422204/a-godfather-of-ai-remains-concerned-as-ever-about-human-extinction?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: A ‘Godfather of AI’ Remains Concerned as Ever About Human Extinction Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Yoshua Bengio’s call for a pause in AI model development to prioritize safety standards, emphasizing the significant risks posed by advanced AI. Despite major investments in AI…

  • AWS News Blog: DeepSeek-V3.1 model now available in Amazon Bedrock

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/deepseek-v3-1-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: DeepSeek-V3.1 model now available in Amazon Bedrock Feedly Summary: AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses. AI Summary and Description: Yes…

  • Cloud Blog: Achieve agentic productivity with Vertex AI Agent Builder

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/get-started-with-vertex-ai-agent-builder/ Source: Cloud Blog Title: Achieve agentic productivity with Vertex AI Agent Builder Feedly Summary: Enterprises need to move from experimenting with AI agents to achieving real productivity, but many struggle to scale their agents from prototypes to secure, production-ready systems.  The question is no longer if agents deliver value, but how to…

  • Cloud Blog: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/financial-services/assembling-a-team-of-ai-agents-to-handle-complex-mortgage-questions-at-mr-cooper/ Source: Cloud Blog Title: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions Feedly Summary: In today’s world where instant responses and seamless experiences are the norm, industries like mortgage servicing face tough challenges. When navigating a maze of regulations, piles of financial documents, and the high…

  • Slashdot: OpenAI Says Models Programmed To Make Stuff Up Instead of Admitting Ignorance

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/09/17/1724241/openai-says-models-programmed-to-make-stuff-up-instead-of-admitting-ignorance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Says Models Programmed To Make Stuff Up Instead of Admitting Ignorance Feedly Summary: AI Summary and Description: Yes Summary: The text discusses OpenAI’s acknowledgment of the issue of “hallucinations” in AI models, specifically how these models frequently yield false outputs due to a training bias that rewards generating…

  • The Register: OpenAI says models are programmed to make stuff up instead of admitting ignorance

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    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/09/17/openai_hallucinations_incentives/ Source: The Register Title: OpenAI says models are programmed to make stuff up instead of admitting ignorance Feedly Summary: Even a wrong answer is right some of the time AI models often produce false outputs, or “hallucinations." Now OpenAI has admitted they may result from fundamental mistakes it makes when training its…