Search results for: “wow”
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Opportunity costs and GW2 vs. WoW
I started playing Guild Wars 2 last week, and one of the most significant changes as a Warcraft player (and no, I haven’t given up on Warcraft, it’s just that the content for Patch 5.3 ran out REALLY fast) is that GW2 permits you to spend real world currency for in-game currency. You go to…
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You Ask, I Answer: Generative AI and Public Relations, Part 4 of 5
In part four of my five-part interview with Stephanie Moore, you’ll gain practical insights into ensuring the responsible and ethical use of AI in your public relations work. Discover the importance of fostering a company culture that prioritizes ethics and learn effective strategies for disclosing AI use to clients without fear of negative repercussions. We’ll…
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You Ask, I Answer: Generative AI and Public Relations, Part 3 of 5
In today’s episode, we tackle the challenges and ethical dilemmas of integrating AI into public relations in part three of my five-part interview with Stephanie Moore. You’ll discover the critical importance of understanding how AI works, its limitations, and how to mitigate potential issues like hallucinations. We’ll delve into the complex world of AI ethics,…
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Mind Readings: Events That Don’t Pay Speakers
In today’s episode, I’m going on a rant about events that don’t pay their speakers. You’ll discover the hidden costs of not compensating speakers and how it ultimately impacts the quality of the event for attendees and sponsors alike. I’ll also share my perspective on the value that paid speakers bring to an event, and…
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Mind Readings: AGI Part 4: The Peril of AGI – Unintended Consequences and Risks
In today’s episode, we’re shifting gears to address the potential downsides of AGI, moving beyond science fiction tropes to focus on the real-world risks. You’ll discover the social and economic challenges AGI presents, such as job displacement and widening income inequality. You’ll learn why these issues demand immediate attention and what steps we can take…
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Almost Timely News, July 7, 2024: 🗞️ AI Creates Jobs In the Content Supply Chain
Almost Timely News: 🗞️ AI Creates Jobs In the Content Supply Chain (2024-07-07) :: View in Browser 👉 Register for my upcoming Generative AI in Real Estate webinar 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 might be…
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Mind Readings: Why Large Context Generative AI Models Matter
In today’s episode, you’ll delve into the groundbreaking world of Google’s Gemini 1.5 and its massive 2-million-token context window. Discover how this expanded “short-term memory” for AI models is revolutionizing what’s possible with generative AI. You’ll gain a clear understanding of what this technological leap means for you and your business, unlocking a world of…
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Mind Readings: Why I Hired a Human Musician Instead of AI
In today’s episode, you’ll get a behind-the-scenes look at the creation of my YouTube theme song and discover why I chose to hire a human musician instead of using AI. You’ll learn about the legal implications of AI-generated content and the potential copyright issues that can arise. You’ll also gain valuable insights into the strengths…
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Mind Readings: Generative AI Performs Best With Uniquely Human Inputs
In today’s episode, you’ll learn how to transform a simple piece of writing into a captivating song using the power of generative AI. You’ll discover the importance of providing AI with specific, detailed instructions and how to use the Trust Insights PAIR framework to guide your process. We’ll explore tools like Suno and Gemini, using…
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Mind Readings: Retrieval Augmented Generation vs. Fine Tuning in Generative AI
In today’s episode, you’ll gain valuable insights into two powerful techniques for enhancing generative AI models: retrieval augmented generation and fine-tuning. I’ll use a simple yet effective analogy of a librarian and a library to illustrate the key differences between these approaches and when to apply each one. Whether you’re dealing with limited data or…