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The FIR Podcast Network Everything Feed

The FIR Podcast Network Everything Feed

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  • ALP 290: Balancing skills and personality when hiring a new team member

    ALP 290: Balancing skills and personality when hiring a new team member
    2025/12/08

    In this episode, Chip and Gini discuss the complexities of hiring in growing agencies. They highlight the challenges of finding skilled, reliable employees who align with agency values.

    Sharing personal experiences, Gini explains the pitfalls of hasty hiring and the benefits of thorough vetting and cultural fit. They stress the importance of a structured hiring process, including clear job roles, career paths, and appropriate compensation. They also underscore the value of meaningful interviews, proper candidate evaluations, and treating the hiring process as the start of a long-term relationship.

    Lastly, Chip and Gini emphasize learning from past mistakes to improve hiring effectiveness and employee retention. [read the transcript]

    The post ALP 290: Balancing skills and personality when hiring a new team member appeared first on FIR Podcast Network.
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    21 分
  • FIR #490: What Does AI Read?

    FIR #490: What Does AI Read?
    2025/12/01
    Studies purport to identify the sources of information that generative AI models like ChatGPT, Gemini, and Claude draw on to provide overviews in response to search prompts. The information seems compelling, but different studies produce different results. Complicating matters is the fact that the kinds of sources AI uses one month aren’t necessarily the same the next month. In this short midweek episode, Neville and Shel look at a couple of these reports and the challenges communicators face relying on them to help guide their content marketing placements. Links from this episode: Webinar: What is AI Reading? (Muck Rack)AI Search Volatility: Why AI Search Results Keep ChangingStudy finds nearly two-thirds of AI-generated citations are fabricated or contain errorsMajor AI conference flooded with peer reviews written fully by AI The next monthly, long-form episode of FIR will drop on Monday, December 29. We host a Communicators Zoom Chat most Thursdays at 1 p.m. ET. To obtain the credentials needed to participate, contact Shel or Neville directly, request them in our Facebook group, or email fircomments@gmail.com. Special thanks to Jay Moonah for the opening and closing music. You can find the stories from which Shel’s FIR content is selected at Shel’s Link Blog. You can catch up with both co-hosts on Neville’s blog and Shel’s blog. Disclaimer: The opinions expressed in this podcast are Shel’s and Neville’s and do not reflect the views of their employers and/or clients. Raw Transcript: Shel Holtz Hi everybody, and welcome to episode number 490 of For Immediate Release. I’m Shel Holtz. Neville Hobson And I’m Neville Hobson. One of the big questions behind generative AI is also one of the simplest: What is it actually reading? What are these systems drawing on when they answer our questions, summarize a story, or tell us something about our own industry? A new report from Muckrec in October offers one of the clearest snapshots we’ve seen so far. They analyzed more than a million links cited by leading AI tools and discovered something striking. When you switch citations on, the model doesn’t just add footnotes, it changes the answer itself. The sources it chooses shape the narrative, the tone, and even the conclusion. We’ll dive into this next. Those sources are overwhelmingly from earned media. Almost all the links AI sites come from non-paid content, and journalism plays a huge role, especially when the query suggests something recent. In fact, the most commonly cited day for an article is yesterday. It’s a very different ecosystem from SEO, where you can sometimes pay your way to the top. Here, visibility depends much more on what is credible, current, and genuinely covered. So that gives us one part of the picture. AI relies heavily on what is most available and most visible in the public domain. But that leads to another question, a more unsettling one raised by a separate study published in the JMIR Mental Health in November. Researchers examined how well GPT-4.0 performs when asked to generate proper academic citations. And the answer is not well at all. Nearly two thirds of the citations were either wrong or entirely made up. The less familiar the topic, the worse the accuracy became. In other words, when AI doesn’t have enough real sources to draw from, it fills the gaps confidently. When you put these two pieces of research side by side, a bigger story emerges. On the one hand, AI tools are clearly drawing on a recognizable media ecosystem: journalism, corporate blogs, and earned content. On the other hand, when those sources are thin, or when the task shifts from conversational answers to something more formal, like scientific referencing, the system becomes much less reliable. It starts inventing the citations it thinks should exist. We end up with a very modern paradox. AI is reading more than any of us ever could, but not always reliably. It’s influenced by what is published, recent, and visible, yet still perfectly capable of fabricating material when the trail runs cold. There’s another angle to this that’s worth noting. Nature reported last week that more than 20% of peer reviews for a major AI conference were entirely written by AI, many containing hallucinated citations and vague or irrelevant analysis. So if you think about that in the context of the Muckrec findings in particular, it becomes part of a much bigger story. AI tools are reading the public record, but increasing parts of that public record are now being generated by AI itself. The oversight layer that you use to catch errors is starting to automate as well. And that creates a feedback loop where flawed material can slip into the system and later be treated as legitimate source material. For communicators, that’s a reminder that the integrity of what AI reads is just as important as the visibility of what we publish. All this raises fundamental questions. How much has earned media ...
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    22 分
  • Circle of Fellows #122: Preparing Communication Professionals for the Future

    Circle of Fellows #122: Preparing Communication Professionals for the Future
    2025/11/26

    The forward-looking discussion was joined by five seasoned leaders: two professors shaping the next generation of communicators and three senior practitioners traversing today’s real-world pressures. Together, they bridge campus and workplace, theory and execution, to define what readiness really looks like in a world of constant change. Shel Holtz, SCMP, IABC Fellow, will moderate the session.

    This episode featured a candid, fast-paced discussion on the skills and mindsets that matter now — and the ones you’ll need next. From AI literacy and data comfort to ethical judgment, change agility, and human-centered storytelling, the panel will share practical frameworks you can apply immediately. You’ll hear how universities are evolving curricula, how employers can cultivate lifelong learning, and how individual pros can future-proof their careers without losing the craft that sets them apart.

    You’ll get actionable guidance, plenty of examples from classrooms and boardrooms. Whether you lead a team, teach, hire, or are building your own career path, this conversation will help you set priorities for the year ahead. If you can’t attend the live session, you can watch the video replay or listen to the podcast, which will be available shortly after the panel concludes.

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    The post Circle of Fellows #122: Preparing Communication Professionals for the Future appeared first on FIR Podcast Network.
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    1 時間 2 分
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