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    Roundup: The Long-Term Impact of OpenAI’s Current Search


    To most users, whatever work has been done under the hood won’t matter so much as the ability to search up-to-date information.



    Last month, OpenAI began rolling out its “Google-Killer search engine.” Now, users can take advantage of ChatGPT’s chatbot interface to search news and other current information, as well as historical data.

    This isn’t the first time AI has been applied to searches of current information. In May 2024, for example, Google began adding AI-generated summaries to its search results, sparing users the need to click deeper when researching a subject.

    While Google and OpenAI tend to get most of the attention, today a variety of AI-based search engines are available, including Perplexity AI, Microsoft Bing and you.com. Besides handling ad hoc searches, many of these support specific use cases, such as identifying keywords for SEO optimization or improving the tone of a user’s writing.

    In the 25 years since Google launched, people have gotten used to the idea of easily searching deep sets of information. So, the limited nature of OpenAI’s search universe always felt artificial. To the great majority of users, some argue, whatever work the company’s done under the hood won’t matter so much as the ability to search an up-to-date set of information.

    The wider search through ChatGPT’s chatbot interface is sure to add momentum to the use of chatbots in general. Already, their growth has proved dynamic: Since 2019, the use of chatbots increased 92%. In the realm of customer service, the number of chats per agent rose 23% year-on-year in 2023 alone.

    In many ways, this strength is due to the simplicity of interacting with chatbots. With their conversational approach, chatbots are easy to use, respond quickly to queries and provide personalized information. Because most chatbots approach conversations in similar, if not identical, ways users don’t need to learn a variety of interfaces and the unique commands of each one.

    At the same time, however, the conversational interface is more than a mere way station on the way to more powerful interaction. Already, there’s talk of “aiOS,” or an AI operating system, that makes its capabilities available through a combination of conversational interface, autonomous agents, adaptive learning (to better understand user preferences) and improved management of computing resources.

    Such interfaces do more than simply find information. They tailor themselves to each user in ways that make searches more productive, as well as simpler to conduct.

    Upgrade to paidThe NewsGoogle’s CEO Sees AI Development Slowing in 2025

    Speaking at this week’s New York Times Dealbook summit, Google CEO Sundar Pichai said he expects AI’s continued progress to slow down in the near term. "I think the progress is going to get harder when I look at '25. The low-hanging fruit is gone," he said, according to Business Insider. "The hill is steeper." Read more]

    HR Must Strengthen Tech Skills to Successfully Lead Transformation


    HR departments must strengthen their expertise with data and technology if they’re to keep up with demands from both their organization and their workforce. As the new year dawns, they’ll need to focus especially on developing internal talent pipelines, retention and managing labor costs. Read more]

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    Podcast: Prompt Design's Potential, with Perpeta's Paul Carney

    Prompts set up real conversations with AI … if you know how to craft them. My guest is Paul Carney, the founder of Perpeta. He’s a CHRO who knows how to create prompts that get detailed results out of AI. There’s a lot more to prompting than you might think, and that’s what we’re going to get into. Listen here]

    Visier’s New Agentic AI Platform Offers Low-Code Data Solutions


    Visier introduced a new agent-based platform that allows HRIT leaders and people technology product teams to create agentic AI solutions. The platform, which Visier said is the first of its kind, brings together all available enterprise data regarding people and work. Read more]

    How AI’s Development Uses Social Factors


    AI’s impact on the labor market, and society in general, depends on issues besides technology. Demographic, social, institutional and political forces are all in play, as well, according to a recent study. AI’s development should take society’s shared value into account, it said, and be used to enhance people’s well-being, augment collective capabilities and support the future workforce. Read more]
     

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