Summary In today's episode, I discuss a recent paper that challenges how we approach in-context learning and prompt engineering. Here's what this means for you. You will improve your AI interactions by focusing only on unique task elements instead of redefining known concepts. You'll also learn these concepts: how to avoid over-engineering prompts, why focusing…
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My first read of the GPT-5 model card shows something that the technical folks have long suspected: We are hitting a substantial wall of diminishing returns on single dense models. GPT-5 is not a single model. Rather, it is a router with submodels underneath it. The router sends queries where they need to go based…
Summary In today's episode, I walk through how to analyze freeform survey data with generative AI using both low-tech spreadsheet solutions and high-tech coding tools. Here's what this means for you. You'll see how unstructured responses can become a content calendar, a strategic plan, and even a sales pipeline without forcing respondents into outdated drop-down…
My inbox is filled with “What will happen in AI in 2026?” There’s a simple answer to that, at least on the technology front. What’s happening in labs now happens in the mainstream in 2026. If you’re not paying attention to the labs, you’ll be blindsided by what happens in the real world. I’ll give…
Summary In today's episode, I explain why text prompts often fail to produce consistent AI images and how you can overcome this limitation. Here's what this means for you. You can achieve much higher visual stability across multiple generations by changing your approach to prompting. You'll also learn these concepts: why language remains too imprecise…
Summary In today's episode, I introduce an upcoming AI workshop that targets tourism and destination marketing professionals. Here's what this means for you. You gain access to a professional toolkit that enables you to compete on a global scale with minimal resources. You'll also learn these concepts: how to apply the seven primary generative AI…
I listened to no podcasts today on my drive. You’re probably like, “And?” Normally when I do long distance drives, I catch up on podcasts. Today, I didn’t. Today, I listened to the NotebookLM summaries of papers I needed to catch up on, advanced AI papers from NeurIPS that I didn’t understand well. Over the…
Summary In today's episode, I explain how to craft effective prompts for complex tasks by using task decomposition. Here's what this means for you. You gain the ability to move beyond generic AI responses to produce unique, repeatable, and high-quality results. You'll also learn these concepts: how task decomposition prevents model confusion, why specific cognitive…
