Podcast
Generative AI 101
Hosted by Emily Laird · EN
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.
56episodes
Episodes
Newest firstAll episodes
Kimi K3: Open Weights, Locked Door
6d ago00:08:43Tap to summarizeMoonshot AI just gave away the largest open-weight model ever built, and the chip stocks still bled. Host Emily Laird breaks down Kimi K3: 2.8 trillion parameters, free to download, and completely impossible for you to actually run. The catch isn't the price of the model. It's who owns the machines that serve it. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
Transcribe →GPT 5.6: The Model That Needed A Permission Slip
1w ago00:09:33Tap to summarizeOpenAI just shipped GPT-5.6 and ChatGPT Work, but the ship date was set by a phone call from the Commerce Department. Host Emily Laird breaks down the three-model pricing play, the office agent that is secretly a coding agent, and the efficiency pitch that contradicts its own premium feature. Then the real story: a "voluntary" government review that decided when America's most famous software product could launch, and what that precedent means for anyone building on a single frontier model. The framework behind it still doesn't exist, and that should bother you. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
Transcribe →Use Case Monday
1w ago00:10:21Tap to summarizeUsing AI is rarely the scandal. Hiding it is. Host Emily Laird examines academic misconduct, workplace secrecy, and Meta’s Project Cannes to show why documentation without disclosure can become evidence against you. This episode offers a practical four-step system for creating an AI paper trail that protects your work instead of exposing it. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
Transcribe →96 vs. 48: The Brown University AI Cheating Scandal
2w ago00:09:47Tap to summarizeA take-home midterm at Brown University averaged 96, then the same students averaged 48 on the in-person final, and that gap tells the whole story. Host Emily Laird walks through how economist Roberto Serrano, a professional game theorist, caught roughly fifty suspected AI cheaters without detection software: he simply designed a test the fakes could not afford to sit. This episode covers the statistical fingerprint of unedited ChatGPT proofs, the students who confessed by dropping the course, and why a room full of desks outperformed the entire AI-detection industry. If you evaluate people for a living, Serrano just handed you the template. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
Transcribe →Apple v. OpenAI
2w ago00:08:30Tap to summarizeApple just sued OpenAI for trade secret theft, and the complaint reads less like a spy novel and more like a group chat with subpoena power. Host Emily Laird walks through the two former Apple employees at the center of the case: the engineer who allegedly kept his company laptop and downloaded a thousand pages of schematics, and the executive accused of asking job candidates to bring actual Apple parts to interviews. Along the way, she breaks down the one legal doctrine that explains why hiring 400 former Apple employees is perfectly legal but keeping the offboarding document is not. Seven minutes, zero hype, and a reality check on what happens when the AI hardware race runs straight through Cupertino's supply chain. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
Transcribe →Meta's Fake Teen Factory
2w ago00:07:26Tap to summarizeMeta paid contractors to pose as children, flood rival chatbots with prompts about suicide, eating disorders, and abuse, then log every response in spreadsheets. The company calls it "industry-standard safety benchmarking," but the operation had no consent, no disclosure, and no shared findings: the four things that make red teaming legitimate. Host Emily Laird walks through the Wired investigation, the 45,000-prompt testing rounds, and the court testimony showing what Meta knew about its own failure rates while it was busy documenting everyone else's. This is the difference between a shield and a sword, and the paperwork says sword.──────────── 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird
Transcribe →Use Case Thursday: Make AI Disagree with You
3w ago00:10:04Tap to summarizeHost Emily Laird breaks down why chatbots so often agree with your worst instincts, then shows how a pre-mortem prompt turns that people-pleasing machinery against your plan. The stakes are practical: job offers, house purchases, program launches, hard conversations, and every other moment when agreement feels comforting but costs you later. This episode is a reality check on AI sycophancy, decision stress-testing, and the simple question that can make a yes-machine finally tell you what might fail.────────────── 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN
Transcribe →Microsoft's 4,800 Layoffs
3w ago00:08:40Tap to summarizeMicrosoft cut 4,800 jobs, and the savings cover roughly two days of its AI infrastructure spending. Host Emily Laird runs the arithmetic the press release skipped: a $190 billion capex bill, an Xbox division losing 64 cents on every dollar, and a $625 billion backlog where nearly half the money traces back to one cash-burning customer. This is the story of a company growing 18 percent while shedding a trillion dollars in market value. The layoffs were never a savings plan, they were a message. ────────────────── 📑READ DEAN BALL'S ESSAY https://www.hyperdimensional.co/p/what-should-be-done 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird ────────────────── You now know more about Microsoft's recent layoffs than you did before you arrived.
Transcribe →OpenAI & the $42 Billion Gift
3w ago00:09:20Tap to summarizeOpenAI just offered the US government a 5% ownership stake, and host Emily Laird checks the receipts on what that $42.6 billion gift actually costs. This episode traces the timeline from frozen model releases to a confidential IPO filing, and explains why handing equity to your regulator looks less like patriotism and more like the most expensive insurance policy in corporate history. From the Alaska Permanent Fund plumbing to Bernie Sanders wanting ten times more, the whole deal gets priced out in plain English. It's a reality check on who owns what when the referee asks to join the team. ────────────────── 📑READ DEAN BALL'S ESSAY https://www.hyperdimensional.co/p/what-should-be-done 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird ────────────────── You now know more about OpenAI's repoted government gift than you did before you arrived.
Transcribe →Grok 4.5 & the Closed-Loop Machine
3w ago00:10:06Tap to summarizeElon Musk says Grok 4.5 rivals Claude Opus, but there's no public benchmark, no model card, and no outside lab backing the claim. Host Emily Laird peels the branding off and looks at what actually matters: a closed-loop AI machine built from SpaceX engineers, Tesla codebases, Cursor data, and reinforcement learning that never stops running. The real contest isn't model versus model, it's feedback loop versus feedback loop. Find out why the loudest claim in the announcement might be the least important part. ────────────────── 📑READ DEAN BALL'S ESSAY https://www.hyperdimensional.co/p/what-should-be-done 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup 📩 EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ 💬 CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird ────────────────── You now know more about Grok 4.5 than you did before you arrived.
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