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.
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Contact path
Public web form
Booking probability
36%
Guest openness
Selective
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Signup to Generate a PitchWelcome 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.
Recent episodes include "AI Conspiracy Theories: Happy Halloween" (28 October 2026, 13 minutes), "Improve Your AI Written Emails" (27 October 2026, 10 minutes), and "From Messy Notes to Useful Work" (26 October 2026, 10 minutes).
Generative AI 101 publishes roughly daily, with episodes averaging 12 minutes.
Booking probability for Generative AI 101 is 36%, and the host is rated Selective on guests. Generative AI 101 requires a Pod Score of 80 or higher. Generative AI 101's contact route on record: public web form.
The strongest fits for Generative AI 101 are IT Services & Software Development and Scientific Research & Development. Generative AI 101 has a technology audience.
Generative AI 101 is a technology podcast.
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Episode #355
In this episode, host Emily Laird airs her AI conspiracy theories and then does what most conspiracy theorists skip: she checks the footnotes. The evidence points away from secret basements and toward the unglamorous...
Episode #354
Polished emails are making managers less believable: when bosses let AI do most of the writing, the share of employees who rate them as sincere falls from 83% to as low as 40. Host Emily Laird explains why light editing...
Episode #353
Your AI meeting recap looks finished, but some of the owners and deadlines in it may be invented. In this episode, host Emily Laird argues that the real work happens in the forty minutes after the meeting, and that...
Episode #352
A 130-page report lands in your inbox with a buried deadline, a half-million-dollar commitment, and one sentence that quietly rewrites policy, and your AI summary mentions none of it. In this episode, host Emily Laird...
Episode #351
Anthropic now lets Claude hang up on abusive users, and Microsoft AI chief Mustafa Suleyman warns that training a model to wonder about its own feelings creates nothing more than an expensive echo. In this episode, host...
Episode #350
If you are still explaining your job, your project, and your audience to AI every time you open a new chat, host Emily Laird has one question: why? This episode makes the case for AI workspaces (ChatGPT Projects, Claude...
Episode #349
MCP, the Model Context Protocol, became the universal plug for AI this year, backed by Anthropic, OpenAI, Google, Microsoft, and Amazon and connecting assistants to the apps you actually use. The catch: your AI reads...
Episode #348
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...
Episode #346
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...
Episode #347
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 #345
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...
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...
Episode #343
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...
Episode #342
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...
Episode #341
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...
Episode #340
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...
Episode #339
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...
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...
Episode #336
Flock Safety built an 8.3 billion dollar business on a simple idea: a photograph isn't very useful until software can search it. In this episode, host Emily Laird traces the path from one Atlanta neighborhood's...
Episode #335
The most dangerous AI output isn't the ridiculous one; it's the polished answer with one critical error hiding in plain sight. In this episode, host Emily Laird puts generative AI evaluation on trial, from OpenAI's...
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