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Tag: fraud

  • Slashdot: Google’s ‘AI Overview’ Pointed Him to a Customer Service Number. It Was a Scam

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    by

    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/08/18/0223228/googles-ai-overview-pointed-him-to-a-customer-service-number-it-was-a-scam?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s ‘AI Overview’ Pointed Him to a Customer Service Number. It Was a Scam Feedly Summary: AI Summary and Description: Yes Summary: The text highlights a fraudulent scheme involving AI-generated chatbots and search engine results that led a real estate developer to fall victim to a scam when searching…

  • Slashdot: Google’s ‘AI Overview’ Pointed Him to a Customer Number. It Was a Scam

    —

    by

    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/08/18/0223228/googles-ai-overview-pointed-him-to-a-customer-number-it-was-a-scam?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s ‘AI Overview’ Pointed Him to a Customer Number. It Was a Scam Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a scam where a real estate developer was tricked into providing credit card information to an impersonator posing as a customer service representative for a…

  • Slashdot: AI Is Forcing the Return of the In-Person Job Interview

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    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/08/12/1913202/ai-is-forcing-the-return-of-the-in-person-job-interview?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Is Forcing the Return of the In-Person Job Interview Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a trend among major companies like Google, Cisco, and McKinsey to reinstate in-person interviews to counteract AI-assisted cheating during technical assessments. This move comes amid growing concerns about…

  • The Register: Deepfake detectors are slowly coming of age, at a time of dire need

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    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/11/deepfake_detectors_fraud/ Source: The Register Title: Deepfake detectors are slowly coming of age, at a time of dire need Feedly Summary: By video, picture, and voice – the fakers are coming for your money DEF CON While AI was on everyone’s lips in Las Vegas this week at the trio of security conferences in…

  • Slashdot: $1M Stolen in ‘Industrial-Scale Crypto Theft’ Using AI-Generated Code

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    by

    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/08/11/0037258/1m-stolen-in-industrial-scale-crypto-theft-using-ai-generated-code?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: $1M Stolen in ‘Industrial-Scale Crypto Theft’ Using AI-Generated Code Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a sophisticated cybercrime operation, GreedyBear, which utilizes a highly coordinated strategy, weaponizing browser extensions and phishing sites to facilitate industrial-scale crypto theft. The group’s innovative techniques, including the modification…

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

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    by

    Kurt Seifried
    in

    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…

  • Shabie’s blog: Let the kaleidoscope turn

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    by

    Kurt Seifried
    in

    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…