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#aisummaries — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aisummaries, aggregated by home.social.

  1. Your AI chatbot - no matter how well-trained - is NOT "a domain expert" or some kind of profession no matter how you word your prompts . It's an application that searches the Web and spits back probabilistically amalgamated summaries of whatever it found in the search results that seem to match your questions.

    #ai #chatbots #llms #machinelearning #seo #searchengineoptimization #aioverviews #aisummaries #aichat #algorithms

  2. The Large Language Models are not retrieving information from the Web. They are submitting queries to the search engines. If the search results contain bad results the LLMs =MAY= ignore those bad results or they =MAY= include them in their summaries. That's not "hallucination". And if the results change because you use a different LLM or revise YOUR query, again, that's not the LLM being ignorant or hallucinating - that's just the LLM summarizing the results it was given by the search engine.

    Most of the problems with AI Overviews are coming from the search results because Google has the largest index of all the major search engines and it's very tolerant of multiple points of view.

    #searchengines #google #llms #machinelearning #aioverviews #seo #searchengineoptimization #aisummaries

  3. #Gmail is making #AI features like #HelpMeWrite, #SuggestedReplies, and #AIsummaries #free for all personal accounts. These features, previously requiring a subscription, are now rolling out to US users and will be available globally soon. 9to5google.com/2026/01/08/gmai #tech #media #news

  4. #PenskeMedia, owner of #RollingStone and #Billboard, sued #Google, alleging its #AIsummaries use their journalism #withoutconsent and reduce website #traffic. The lawsuit claims Google leverages its search dominance to impose terms on publishers, impacting advertising and subscription revenue. Google argues that #AIoverviews benefit users and drive traffic to a wider variety of websites. reuters.com/sustainability/boa #tech #media #news

  5. Attention LLM security enthusiasts! Google's Bug Hunters posted a detailed run through on protecting Large Language Models that goes beyond basic prompt injection:

    It covers:

    • Advanced prompt injection techniques
    • Data poisoning strategies
    • Model extraction methods
    • Adversarial examples in the wild

    This showcases how attackers are getting craftier, attempting to bypass ethical constraints while maintaining the illusion of authority.

    But that's just the beginning. The post delves into the complexities of each attack vector and discusses potential mitigation strategies.

    For those of us pushing the boundaries of AI security, this is a must-read. It might just change how you approach LLM vulnerabilities.

    Check it out and let's discuss: What new insights did you gain from this analysis?"

    #LLMSecurity #AIVulnerabilities #aisummaries #cybersecurity