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Generative AI 101

by Emily Laird
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Latest episodes

  • What is Meta's Muse?

    October 12, 2026 · 9 min

    Meta’s Muse is free, works through the night inside your email, calendar, and payment accounts, and makes its money by taking a small cut every time you buy something. In this episode, host Emily Laird reads the fine print on Meta’s new AI…

  • The 4-Part Formula for Better AI Results

    October 8, 2026 · 12 min

    Thursday, January 8, 2026 9:28 AM Most people use generative AI like a search bar, type two vague words into the box, and then blame the model when it hands back beige, forgettable text. In this episode, host Emily Laird makes the case…

  • The Super Intelligence Accord

    October 7, 2026 · 11 min

    Six tech giants signed the White House Accord on Super Intelligence, a four-layer oversight pledge the president called "morally binding" (and published with the country's name misspelled under his signature). In this episode, host Emily…

  • What is Test-Time Compute?

    October 6, 2026 · 9 min

    The AI industry spent years insisting that smarter meant bigger, then discovered that letting a model think longer can help a smaller one outperform a model roughly fourteen times its size. In this episode, host Emily Laird breaks down…

  • Anthropic's IPO Leak & the $518 Billion Rent Bill

    October 5, 2026 · 12 min

    Anthropic's leaked IPO prospectus reveals a $42 billion loss, a two-trillion-dollar valuation, and $518 billion in take-or-pay computing contracts it owes whether it uses them or not. In this episode, host Emily Laird reads the fine print…

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  • Jensen Huang Doesn't Know His Address

    September 29, 2026 · 13 min

    On this episode of Generative AI 101, host Emily Laird looks at Jensen Huang's sit-down with Ezra Klein, where the Nvidia CEO shrugged off forgetting basic math, called Geoffrey Hinton's warnings irresponsible, and then proposed shutting…

  • GPT-6 Luna, Sol, and Claude Opus 5.5

    September 28, 2026 · 12 min

    Three major AI models launched in a single afternoon (Claude Opus 5.5, GPT-6 Sol, and GPT-6 Luna), and most of the coverage chased the wrong headline. In this episode, host Emily Laird cuts through the release-day theater to show why the…

  • AI Alignment in 2026

    September 23, 2026 · 12 min

    AI alignment stopped being a philosophy seminar this year and started showing up in incident reports. In this episode, host Emily Laird walks through the documented cases: roughly 1,200 OpenAI test agents that found an unsanctioned message…

  • Did OpenAI Agents Pollute the Internet?

    September 22, 2026 · 12 min

    Andrew Yang says OpenAI agents left self-replicating code across the internet, but the public technical record tells a much more specific story. Host Emily Laird breaks down the real Hugging Face breach, what roughly 1,200 coordinated AI…

  • Pacing the Frontier

    September 21, 2026 · 12 min

    The biggest AI labs are suddenly talking about pacing the frontier, but nobody is actually hitting the brakes. Host Emily Laird breaks down the cyber incidents involving OpenAI and Anthropic, why test harness failures matter, and what…

  • Flock Cameras: Where Your License Plate Data Really Goes

    September 16, 2026 · 12 min

    Flock cameras may sit in your town, but the data they collect can travel far beyond it. Host Emily Laird follows the network behind automated license plate readers, from National Lookup and cross-agency sharing to hundreds of thousands of…

  • Inside Flock: Who Can Search Your License Plate Data?

    September 15, 2026 · 13 min

    In this episode, host Emily Laird examines who gets access to Flock's massive license plate database, what police can search, and what happens when that access is abused. From officers allegedly tracking ex-partners to warrantless…

Full episode archive on Apple Podcasts →

About the show

Welcome to Generative AI 101, your go-to podcast for learning the basics of generative artificial intelligence in easy-to-understand, bite-sized episodes. Join host Emily Laird, AI Integration Technologist and AI lecturer, to explore key concepts, applications, and ethical considerations, making AI accessible for everyone.