Month: September 2024

  • Fireside Chat: Music and AI, Part 3: The Ethics of AI Music: Consent and the Future of Musicians

    In today’s episode, we dive into the ethical dilemmas surrounding AI music. You’ll join a critical discussion about consent in the digital age, exploring how AI challenges traditional notions of ownership and attribution in music creation. We’ll also discuss the future of musicians in a world where AI can generate music on demand, exploring potential

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  • Fireside Chat: Music and AI, Part 2: The Human Touch: Imperfections and Intent

    In today’s episode, we’re continuing our exploration of music and AI with composer Ruby King. You’ll listen to more AI-generated compositions and uncover the surprising ways AI interprets and replicates musical styles. We’ll discuss the concept of “human touch” in music and how AI attempts to capture those subtle nuances. Tune in to discover the

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  • Fireside Chat: Music and AI, Part 1: Defining Music in the Age of AI

    In today’s episode, we’re diving deep into the world of music and AI. You’ll join me and composer Ruby King for a fascinating discussion about what music is in the age of artificial intelligence. You’ll learn what makes music “good” and explore the capabilities of AI in creating it. Tune in to discover how AI

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  • Almost Timely News: 🗞️ Next Generation AI Models (2024-09-15)

    Almost Timely News: 🗞️ Next Generation AI Models (2024-09-15) :: View in Browser 👉 Watch my new talk from MAICON 2024 about why open models are your answer to data privacy and AI Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. Learn why this kind of disclosure is a

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  • Mind Readings: Generative AI Prompts Are Recipes

    In today’s episode, you’ll learn how to write better prompts for generative AI, using the analogy of a recipe. You’ll discover why simply giving the AI a task isn’t enough to get high-quality output and how to provide the necessary “ingredients” for success. I’ll walk you through a real-world example of prompting AI to create

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  • Mind Readings: The Gold Standard of Marketing Attribution

    In today’s episode, you’ll discover the gold standard of attribution for marketers in an age of increasing privacy concerns. You’ll learn why traditional tracking methods are becoming less reliable and explore a powerful, yet often overlooked, alternative: simply asking your audience how they found you. I’ll explain how this straightforward approach, combined with the capabilities

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  • Mind Readings: The Problem with Generative AI System Prompts

    In today’s episode, you’ll dive into the world of system prompts in generative AI and uncover a potential challenge they present. You’ll learn what system prompts are, how they work, and why companies use them. I’ll also reveal a key problem: the difficulty of overriding system prompts when they hinder your desired use case. Discover

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  • Mind Readings: Tool Handling and Non-Language Generative AI Tasks

    In today’s episode, you’ll learn how generative AI is evolving to tackle non-language tasks more effectively through the power of tool handling. Discover how models like Llama 3.1 are integrating tools, similar to Batman’s utility belt, to access external functions and overcome their limitations. You’ll also gain valuable insights into the emerging market for AI

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  • Mind Readings: Turning a Lavalier Mic Into a Handheld Mic

    In today’s episode, you’ll see a simple hack to transform a lavalier microphone into a handheld microphone. I’ll walk you through how I used a Rode Wireless Go transmitter, a power bank, and a USB-C connector to create a more ergonomic and acoustically sound setup. You’ll learn why this method, while not ideal for a

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  • Almost Timely News: 🗞️ The Basics of How To Launch a Podcast From Scratch (2024-09-08)

    Almost Timely News: 🗞️ The Basics of How To Launch a Podcast From Scratch (2024-09-08) :: View in Browser 👉 Download my newly updated Generative AI Power Pack of Cheat Sheets Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. In the video version, you’ll see some stuff in Google

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