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  • Episode 3: Documentation theater and the acceleration paradox (Podcast with Fabrizio Ferri Benedetti and Tom Johnson)

    Episode 3: Documentation theater and the acceleration paradox (Podcast with Fabrizio Ferri Benedetti and Tom Johnson)
    2025/11/30
    In this episode, Fabrizio Ferri Benedetti (from Passo Uno) and I discuss the concept of documentation theater with auto-generated wikis, why visual IDEs like Antigravity beat CLIs for writing, and the liberation vs. acceleration paradox where AI speeds up work but creates review bottlenecks. We also explore the dilemmas of labeling AI usage, why AI needs a good base of existing docs to function well, and how technical writers can stop doing plumbing work and start focusing on more challenging, high-value strategic initiatives instead, which might push the limits of what AI can even do.
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    1 時間
  • Recording, transcript, and notes for AI Book Club discussion of Yuval Noah Harari's Nexus

    Recording, transcript, and notes for AI Book Club discussion of Yuval Noah Harari's Nexus
    2025/11/22
    This is a recording of our AI Book Club discussion of Nexus: A Brief History of Information Networks from the Stone Age to AI by Yuval Noah Harari, held Nov 16, 2025. Our discussion touches upon a variety of topics, including self-correcting mechanisms, alien intelligence, corporate surveillance, algorithms, doomerism, stories and lists, democracy, printing press, alignment, dictator's dilemma, and more. This post also provides discussion questions, a transcript, and terms and definitions from the book.
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    59 分
  • MCP servers and the role tech writers can play in shaping AI capabilities and outcomes -- podcast with Fabrizio Ferri Beneditti and Anandi Knuppel

    MCP servers and the role tech writers can play in shaping AI capabilities and outcomes -- podcast with Fabrizio Ferri Beneditti and Anandi Knuppel
    2025/10/26
    In this podcast episode, Fabrizio Ferri Benedetti and I chat with guest Anandi Knuppel about MCP servers and the role that technical writers can play in shaping AI capabilities and outcomes. Anandi shares insights on how writers can optimize documentation for LLM performance and expands on opportunities to collaborate with developers around AI tools. Our discussion also touches on ways to automate style consistency in docs, and the future directions of technical writing given the abundance of AI tools, MCP servers, and the central role that language plays in it all.
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    1 時間 2 分
  • Recording of AI book club session of 'Hands-On Large Language Models: Language Understanding and Generation', by Jay Alammar and Maarten Grootendorst

    Recording of AI book club session of 'Hands-On Large Language Models: Language Understanding and Generation', by Jay Alammar and Maarten Grootendorst
    2025/10/26
    This is a recording of our AI book club discussion of Hands-On Large Language Models: Language Understanding and Generation by Jay Alammar and Maarten Grootendorst, held Oct 19, 2025. The book differs from other books in the series in that it's a more technical exploration of how LLMs work, without any ethics discussions. It's less narrative and more engineering-oriented. Our discussion focuses on understanding of conceptual details and whether, to use an analogy, understanding the plane's engine helps pilots fly the airplane better.
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    1 時間
  • Podcast: How AI is changing the role of technical writers to context curators and content directors

    Podcast: How AI is changing the role of technical writers to context curators and content directors
    2025/09/28
    In this conversational podcast, Fabrizio Ferri Benedetti (Passo.uno) and I talk about the impact of AI on the technical writing profession. We tackle the anxiety, seen and felt almost everywhere, but especially on Reddit, within the community about job security and analyze the evolution of the technical writer's role into a more strategic context curator or content director. We also cover practical applications of AI, such as using agents markdown files to guide language models (with style overrides or API reference contexts), and the role documentation plays in improving AI's outputs (Fabri's phrase AI must RTFM).
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    54 分
  • Recording of AI Book Club discussion of Karen Hao's Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI

    Recording of AI Book Club discussion of Karen Hao's Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
    2025/09/22
    This is a recording of the AI Book Club discussion about Karen Hao's Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI. The discussion is an informal, casual discussion with about half a dozen people online through Google Meet. You can also read a transcript and other details about the book here.
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    59 分
  • Recording of AI Book Club discussion about Kai-fu Lee's AI Superpowers

    Recording of AI Book Club discussion about Kai-fu Lee's AI Superpowers
    2025/08/19
    This is a recording of our AI Book Club session discussing Kai-Fu Lee's AI Superpowers: China, Silicon Valley, and the New World Order. There are 4 people in this book club discussion, and our conversation focuses on the emerging AI duopoly between the US and China. We share our own US-centric blind spots and weigh the political and cultural implications of China potentially winning the AI race. We also talk about Kai-Fu Lee's prediction of mass job displacement and his proposed social investment stipend, questioning both its feasibility and its potential drawbacks. The discussion also explores how our own professional...
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    1 時間 1 分
  • Will our next users be AI agents? The future of content delivery with Fabrice Lacroix, founder of Fluid Topics (podcast)

    Will our next users be AI agents? The future of content delivery with Fabrice Lacroix, founder of Fluid Topics (podcast)
    2025/07/05
    In this podcast, I chat with Fabrice Lacroix, founder of Fluid Topics, about the evolution of technical communication. Fabrice describes the industry's progression from (1) delivering static, monolithic PDFs to (2) using Content Delivery Platforms (CDPs) that provide dynamic, topic-based information directly to users to (3) developing content not just for human consumption, but for AI agents that will use this knowledge to automate complex tasks and workflows.
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    44 分