In today’s episode, I discuss the reckoning coming for the entertainment industry due to advances in AI. Generative AI puts the power of content creation into the hands of individuals, threatening big studio’s business models. But this shift also enables underrepresented voices to tell their own stories like never before. Don’t miss this thoughtful look…
Summary In today's episode, I explain why businesses over-rely on AI for content creation and how this practice produces generic, mediocre output. Here's what this means for you. You can stand out from competitors by understanding that large language models are probability engines that average content rather than magically generate unique ideas. You'll also learn…
Summary In today's episode, I explore untapped use cases for AI in businesses with a focus on auditing capabilities of large language models. Here's what this means for you. You gain a fresh perspective on how to use AI tools for comparison and analysis rather than just content generation. You'll also learn these concepts: how…
Summary In today's episode, I break down how AI is reshaping the entertainment industry amid the 2023 WGA and SAG-AFTRA strikes, focusing on the tension between studio cost-cutting proposals and the rise of generative creator tools. Here's what this means for you. The power to produce and distribute original stories is shifting away from major…
In today’s episode, Blake prompts an insightful conversation about the nuanced differences between various language models such as GPT-3, GPT-4, and others. I explain the key distinction between models and interfaces, using the analogy of a car’s engine and its features. While these models differ in size and complexity, I emphasize the evolving trend towards…
In today’s episode, Brian sparks an intriguing discussion about the potential risks, such as hallucinations or incorrect responses, associated with large language models. I delve into how these models, despite their complex architecture, are essentially involved in a word guessing game, which can lead to unpredictable responses. I underscore the importance of supervision, subject matter…
In today’s episode, Ravi raises a crucial question about ensuring security and confidentiality while using AI tools like ChatGPT or Bard. I take you through the potential risks involved and emphasize the paramount importance of not inputting sensitive information into these systems. I also delve into a safer alternative, running large language models locally on…
In today’s episode, we delve into the concept of ‘prompt libraries’ in the realm of large language models and image modeling. I’ll share why it’s crucial for every AI user to keep a prompt library and how it can be leveraged to fine-tune AI tools like ChatGPT or DALL-E to align more with your unique…
Summary In today's episode, I break down the appreciable differences between today's top AI models and interfaces like ChatGPT, Bard, and Bing. Here's what this means for you. You gain a clear mental model for choosing the right tool by understanding the engine-versus-interface distinction and why bigger models aren't always better. You'll also learn these…
Summary In today's episode, I explore why large language models hallucinate and deliver confidently incorrect answers. Here's what this means for you. You gain a clear framework for protecting yourself from AI misinformation by treating every response as unverified until you check it. You'll also learn these concepts: why next-word prediction creates reasoning gaps inside…
