Month: August 2023

  • You Ask, I Answer: Is AI Cheating?

    In today’s episode, I tackle a complex question around AI and ethics. Is using AI cheating? I discuss how AI changes rules around education, work, and more. Tune in to hear perspectives on how societies may adapt to increasingly capable AI systems. Can’t see anything? Watch it on YouTube here. Listen to the audio here:…

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  • You Ask, I Answer: Operating an LLM on Your Own Data?

    In today’s episode, I answer whether small businesses can reasonably fine-tune large language models. We discuss the capabilities required, potential use cases, evaluating model performance, and alternatives to tuning. I recommend clearly defining your purpose and process before investing time in tuning models. Tune in to hear my full perspective on this key question for…

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  • You Ask, I Answer: Zoom AI Policies?

    In today’s episode, I discuss the controversial Zoom AI policy change. I explain why companies want proprietary data for competitive advantage. I advise asking customers permission and offering incentives over unilateral Terms of Service changes. Tune in to hear my full analysis of this important AI ethics situation. Can’t see anything? Watch it on YouTube…

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  • You Ask, I Answer: Is AI Cheating?

    Summary In today's episode, I unpack whether using AI counts as cheating by examining real cases from education and e-commerce. Here's what this means for you. You get a practical framework for judging when AI use crosses from productivity boost into misrepresentation. You'll also learn these concepts: how the purpose of education must shift from…

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  • You Ask, I Answer: Operating an LLM on Your Own Data?

    Summary In today's episode, I explore whether small businesses can realistically fine-tune a large language model on their own data and when doing so actually makes sense. Here's what this means for you. You get a practical decision framework that keeps you from sinking weeks into tuning when off-the-shelf models would handle the job just…

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  • You Ask, I Answer: Zoom AI Policies?

    Summary In today's episode, I unpack the Zoom AI terms of service fiasco and what it signals about the data race happening across the tech industry. Here's what this means for you. You'll grasp why your data is now a strategic asset and how companies should be asking for permission rather than assuming consent. You'll…

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  • Almost Timely News, August 13, 2023: Perfect Memory and Uncensored AI Models

    Almost Timely News: Perfect Memory and Uncensored AI Models (2023-08-13) :: View in Browser πŸ‘‰ πŸ“• Get my new book, The Woefully Incomplete Book of Generative AI, absolutely free of financial cost πŸ“• πŸ‘‰ Watch the newest version of my talk, the Marketing Singularity, recorded live at MAICON 2023! πŸ“Ί Content Authenticity Statement 95% of…

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  • So What? How to audit your marketing tactics with the 5Ps

    Summary In today's episode, I walk through how to audit your marketing tactics using the five Ps framework because tactics change rapidly with AI and new tech. Here's what this means for you. You'll gain a simple one-page checklist for evaluating whether your marketing efforts actually serve a clear purpose and deliver measurable results. You'll…

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  • Almost Timely News, August 6, 2023: The Fallacy of the Single AI

    Almost Timely News: The Fallacy of the Single AI (2023-08-06) :: View in Browser πŸ‘‰ πŸ“• Get my new book, The Woefully Incomplete Book of Generative AI, absolutely free of financial cost πŸ“• πŸ‘‰ Watch the newest version of my talk, the Marketing Singularity, recorded live at MAICON 2023! πŸ“Ί Content Authenticity Statement 100% of…

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  • So What? Pre-requisites for Large Language Model AI Fine-Tuning

    Summary In today's episode, I walk through the prerequisites for fine-tuning large language models before you start the actual training process. Here's what this means for you. You'll understand the strategic groundwork needed to avoid costly mistakes when customizing models like Llama 2 for specific business use cases. You'll also learn these concepts: the trade-offs…

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