Month: March 2023

  • Mind Readings: 6 Month AI Pause?

    Is the call for a six-month pause in AI development warranted? In my latest video, we’ll take a closer look at the open letter to the AI community and explore the real concerns of AI that are often overlooked. Join me as we dive into this controversial topic and examine the potential consequences of AI

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  • Almost Timely News, March 26, 2023: What Could Go Wrong With AI?

    Almost Timely News: What Could Go Wrong With AI? (2023-03-26) :: View in Browser 👉 Less than 100 days until Google Analytics’ Universal Analytics shuts down. Take my GA4 course to get going now on Google Analytics 4 ➡️ Watch This Newsletter On YouTube 📺 Click here for the video 📺 version of this newsletter

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  • You Ask, I Answer: Impressions as a PR Measurement?

    Meredith asks, “What are the current industry thoughts on using impressions as a metric to measure PR?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching

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  • Mind Readings: Large Language Model Bakeoff: Google Bard, Microsoft Bing + GPT-4, ChatGPT + GPT-4

    Today, we’re going to do a large language model bakeoff, pitting Google Bard, Microsoft Bing, and OpenAI’s GPT-4 against a series of 11 questions that will test their capabilities and compare outputs for a set of common tasks, informational and generative. Here are the 11 questions I tested: What do you know about marketing expert

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  • You Ask, I Answer: PR’s Value to Non-PR Stakeholders?

    Del asks, “Which metric will be most important to communicate PR’s value to a non-PR audience?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the

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  • You Ask, I Answer: Primary Research vs. Secondary Data?

    Eric asks, “Under what circumstances would you support primary research vs using imperfect secondary data?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.

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  • You Ask, I Answer: Unifying Marketing Data?

    Jose asks, “What is your best advice about collecting data from different platforms? How to unified data for better reading? Is there any recommended tool?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain

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  • You Ask, I Answer: Marketing Reporting Frequency?

    Monica asks, “What frequency should our reporting be?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video. In today’s episode, Monica asks, “What frequency

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  • Almost Timely News: How Large Language Models Are Changing Everything

    Almost Timely News: How Large Language Models Are Changing Everything (2023-03-19) :: View in Browser 👉 Take my new free course on how to improve your LinkedIn profile and make yourself more appealing to hiring companies ➡️ Watch This Newsletter On YouTube 📺 Click here for the video 📺 version of this newsletter on YouTube

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  • Almost Timely News, March 12, 2023: Broken Agreements

    Almost Timely News: Broken Agreements (2023-03-12) :: View in Browser 👉 Take my new free course on how to improve your LinkedIn profile and make yourself more appealing to hiring companies ➡️ Watch This Newsletter On YouTube 📺 Click here for the video 📺 version of this newsletter on YouTube » Click here for an

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