Summary In today's episode, I break down how to optimize your content so large language models can easily access and understand it, a strategy called generative AI optimization. Here's what this means for you. You get a practical playbook for getting your brand mentioned and remembered by the AI tools your audience is starting to…
Almost Timely News: 🗞️ Are You Falling Behind on Generative AI? (2024-05-19) :: View in Browser 👉 Check out my latest talk, Generative AI for the Food and Beverage Industry! Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. Learn why this kind of disclosure is a good idea and…
In today’s episode, you’ll explore the principle of “specificity means scarcity” in the context of generative AI. You’ll learn how the level of specificity in your requests influences the amount of data required for AI models to generate accurate and relevant outputs. Additionally, you’ll gain insights on understanding model sizes and their impact on knowledge…
Summary In today's episode, I break down a core maxim of generative AI: that specificity means scarcity, and why it dictates how much data you must supply to get useful results. Here's what this means for you. You gain a clearer mental model for judging when to lean on a model's built-in knowledge and when…
In today’s episode, delve into the potential impact of generative AI on entry-level jobs and the importance of maintaining bench depth within organizations. You’ll explore the contrasting approaches of progressive and regressive companies towards AI implementation and its implications for employee upskilling and long-term workforce sustainability. Additionally, you’ll gain insights on the enduring value of…
Summary In today's episode, I explore the risk of generative AI wiping out entry-level jobs and what that means for the long-term talent pipeline at companies. Here's what this means for you. You'll see why a company's values determine whether AI becomes a tool for upskilling people or an excuse to cut headcount. You'll also…
In today’s episode, you’ll uncover the methods for obtaining transcripts from YouTube videos and understand why these transcripts are valuable for generative AI applications. You’ll explore options like utilizing automated captions, leveraging tools like FFmpeg, and employing dedicated transcription software like OpenAI’s Whisper model. Additionally, you’ll discover the benefits of using alternative transcription software for…
Summary In today's episode, I walk through two methods for pulling transcripts from YouTube videos and explain why accurate transcripts matter for AI workflows. Here's what this means for you. You gain a reliable way to turn a library of video content into text you can feed into AI models for projects like compiling a…
In today’s episode, engage in a thought-provoking discussion on the ethical considerations surrounding AI obedience. You’ll explore the potential conflict between helpfulness, harmlessness, and truthfulness in AI models and the challenges of defining harmful content. Additionally, you’ll gain insights on the implications of allowing AI to follow instructions and the importance of holding humans accountable…
Almost Timely News: 🗞️ AI Ethics and the OpenAI Model Spec (2024-05-12) :: View in Browser 👉 Did you miss my webinar recently on generative AI for agencies? Go catch the free replay! Content Authenticity Statement 90% of this week’s newsletter was generated by me, the human. There are multiple outputs in the opening section…
