Month: May 2023

  • Mind Readings: Build DEI into AI From The Start

    In today’s episode, I delve into the intricacies of integrating diversity, equity, and inclusion (DEI) initiatives into Artificial Intelligence (AI) models. It’s a complex and intriguing discussion, and I shed light on some key questions: Should we train our models from scratch or leave them ‘raw’? What does it mean to incorporate DEI principles from…

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  • Mind Readings: The Real Danger to the News Industry Isn’t AI

    In today’s episode, I delve into the looming crisis for the news industry: will AI be the final nail in the coffin? It’s not AI generated content that’s threatening the industry, rather, the danger lies in the fluff-filled articles that bury the actual news beneath paragraphs of filler. AI, especially models like GPT-4, can distill…

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  • Mind Readings: AI Prompts Aren’t 100% Portable

    In today’s episode, I delve into the fascinating world of generative AI systems like ChatGPT, GPT-4, Bing, Bard, and more. Remember, AI models aren’t all created equal, each has unique quirks and requirements when it comes to crafting prompts. Just like different operating systems require different apps, so do AI models. And if you want…

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  • Mind Readings: The Real Danger to the News Industry Isn’t AI

    Summary In today's episode, I explore why the news industry's real threat isn't AI itself but rather the flood of filler content publishers produce, and how AI summarization tools will accelerate that disruption. Here's what this means for you. You need to create genuinely valuable content and rethink your revenue model before machines distill your…

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  • Mind Readings: Build DEI into AI From The Start

    Summary In today's episode, I explore the debate around where diversity, equity, and inclusion principles belong in AI development – in the training data or in the model itself. Here's what this means for you. Investing in curated, equitable training data upfront saves significant work balancing outputs later and protects you from liability. You'll also…

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  • Almost Timely News, May 21, 2023: Hot Takes on AI Congressional Hearing

    Almost Timely News: Hot Takes on AI Congressional Hearing (2023-05-21) :: View in Browser 👉 Watch my brand new keynote, The Marketing Singularity, all about how generative AI is the end of marketing as we know it » Content Authenticity Statement 100% of this newsletter was written by me, the human. When AI is used…

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  • So What? Q2 2023 Generative AI Bake-off

    Summary In today's episode, I walk through a live bake-off testing four major large language models—Bing, Bard, Chat GPT, and GPT4All—across six task categories with 12 scored challenges. Here's what this means for you. You save hours of setup and trial-and-error by getting a clear side-by-side comparison of which AI tool fits which job. You'll…

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  • Almost Timely News, May 14, 2023: Resistance to AI

    Almost Timely News: Resistance to AI (2023-05-14) :: View in Browser 👉 Watch my brand new keynote, The Marketing Singularity, all about how generative AI is the end of marketing as we know it » Content Authenticity Statement 100% of this newsletter was written by me, the human. When AI is used to generate content…

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  • You Ask, I Answer: Company Claims of AI Generated Content?

    Xiaoli asks, “If something is done by AI, can a company still claim that the output belongs to them?” In this episode, I address a question about whether a company can claim ownership of content generated by AI. From a legal standpoint, according to the US Copyright Office, content created by machines is ineligible for…

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  • So What? Social Scheduling Tools Bake-off

    Summary In today's episode, I walk through a live bake-off comparing five social scheduling tools, including Sprout, Buffer, Agora Pulse, Hootsuite, and Sprinklr. Here's what this means for you. You'll discover why starting with user stories and requirements beats chasing popular tool names every time. You'll also learn these concepts: how to test for a…

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