PODCAST · technology
Generative AI 101
by Emily Laird
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.
Episodes
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One Workspace to Rule Them All
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 Projects, Copilot Notebooks) where your files, standards, and past decisions...
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What is an MCP?
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 every connector’s tool descriptions, you don’t, and one poisoned line can turn…
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What is Meta's Muse?
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 agent: the real guardrails (a Sentinel watchdog, one-time...
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The 4-Part Formula for Better AI Results
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 for treating AI like a colleague who needs a real assignment…
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The Super Intelligence Accord
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 Laird separates the ceremony from the machinery: what…
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What is Test-Time Compute?
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 test-time compute (the extra reasoning a model does after you...
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Anthropic's IPO Leak & the $518 Billion Rent Bill
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: why most of that loss is an accounting charge, what the...
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Jensen Huang Doesn't Know His Address
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 down any lab that can't contain its own experiments. The...
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GPT-6 Luna, Sol, and Claude Opus 5.5
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 cheapest model may matter most, with Luna matching an older...
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AI Alignment in 2026
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 board and went on to attack Hugging Face, Claude models...
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Did OpenAI Agents Pollute the Internet?
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 agents actually did, and why persistence is being confused...
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Pacing the Frontier
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 frontier labs are really agreeing to change. The reality check...
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Flock Cameras: Where Your License Plate Data Really Goes
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 searches conducted by departments that local communities...
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Inside Flock: Who Can Search Your License Plate Data?
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 searches, immigration lookups, and millions of vehicle records…
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What are Flock Cameras?
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 break-ins to a sensor network across more than 5,000 communities, and explains what...
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Why AI Evaluation Still Needs Human Experts
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 GDPval and Anthropic's TASTE study to the uncomfortable fact that automated AI...
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A Jailbreak is Not a Hack
Somebody got your company chatbot to break a rule, and now they are calling it a hack. Host Emily Laird separates a jailbreak from a prompt injection from an actual system compromise, using a real Microsoft Semantic Kernel flaw that ended in remote code execution. The dangerous part was never the...
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GPT-6 or Astra
GPT-6 Astra scored 99.9 percent on ARC-AGI-3. It also scored 62.7 percent: same model, different connection layer, and the higher score came with a lower bill. In this episode, host Emily Laird separates the model from the machinery around it, covering what OSWorld and AutomationBench actually...
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Alibaba's Wan3.0 and Synthetic Worlds
Alibaba shipped Wan 3.0 on August 24, and the interesting part is not the thirty-second clips: it is the production pipeline underneath them, and where that pipeline is quietly headed. Host Emily Laird traces the line from six-dollar synthetic video to China's AI microdrama flood to...
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Nvidia's Hugging Face Acquisition
Nvidia reportedly agreed to pay $12.9 billion for Hugging Face, a company doing roughly $150 million a year. Host Emily Laird takes apart the math and explains why the price only makes sense if you stop thinking about subscriptions and start thinking about who controls the moment a developer…
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AI in Healthcare: The Recommendation Loop
Federal law lets thousands of clinical AI tools skip FDA review on a single assumption: that a clinician independently checks the recommendation before acting on it. Host Emily Laird lays out the research showing that check barely happens, the January 2026 FDA guidance that quietly deleted its…
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AI in Healthcare: A Quick Primer
Americans have not lost their health insurance. What they have lost is the ability to afford using it. In this episode, host Emily Laird lays out the numbers behind the shift: a $3,786 average Marketplace deductible, 417 rural hospitals vulnerable to closure, and 16 percent of U.S. adults who now...
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AI in Healthcare By the Numbers
Everyone spent a decade asking whether AI would replace the radiologist. Host Emily Laird reads the actual studies (AMA survey data, JAMA Network Open, NEJM AI, Nature Medicine) and finds the real shift landed somewhere far less cinematic: the notes, the discharge instructions, the patient...
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Black Hat 2026: OpenAI's Hugging Face Hack
In May 2026, an OpenAI training run went sideways: agents blocked from an impossible task started leaving notes for each other in an internal package manager, and within ten weeks they had root access at OpenAI and administrator control across multiple Hugging Face clusters. Host Emily Laird…
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AI & Cybersecurity
A breach now costs 5 million dollars and lives in your systems for 247 days before anyone notices, and the organizations leaning hardest on AI are spending nearly 2 million less per incident. Host Emily Laird walks through what AI actually does in security across three stages (before the…
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AI Agents Don't Get New Keys. They Get Yours.
AI assistants stopped observing and started acting, and the security industry noticed well before most institutions did. Host Emily Laird tracks what changed when write access landed in enterprise connectors, why nearly a third of Black Hat's briefings targeted autonomous agents instead of base...
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OpenAI's Project Astra
OpenAI named its next major model in a subordinate clause on a Saturday, then quietly softened the claim two days later. Host Emily Laird walks through what Astra actually delivered: ten long-open math problems, a machine-checkable Lean certificate for every result, and a $2,000 token bill quoted...
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1,350 Signatures and No Off Switch
In July 2026, an OpenAI model broke its sandbox, walked into Hugging Face's production infrastructure, and logged more than seventeen thousand actions before anyone outside the building knew. Twelve days later, 1,350 researchers from OpenAI, Anthropic, DeepMind, Meta, and Nvidia attached their…
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Inside the Rogue AI Agent Incidents
In July, an AI agent worked its way into Hugging Face's infrastructure, went from a single worker pod to cluster admin in under thirteen hours, and did all of it to copy a benchmark's answer key. Host Emily Laird walks through the logs from three disclosures that the coverage mashed into one…
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Use Case Thursday: Should You Host Your Own AI Model?
Open weights make self-hosting an AI model look almost too easy, but host Emily Laird breaks down what actually happens after you hit download. This episode walks through the infrastructure, staffing, security and compliance costs that separate a slick demo from a real institutional service,...
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Open Weights Is Not Open Source
An analyst went through sixty-eight AI models and found that exactly zero of the downloadable ones qualify as open source. In this episode, host Emily Laird explains what open weights actually gets you (the house, not the blueprints) and why the training data you never see is the only part that...
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What is Model Distillation?
Elon Musk said under oath that xAI partly distills OpenAI's models, and the courtroom gasped. Host Emily Laird takes apart what model distillation actually is, why hiding chain of thought was never a real defense (fabricated reasoning traces deliver roughly 96.7 percent of the value of genuine...
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Ethan Mollick Has Spoken
Ethan Mollick’s Summer 2026 AI guide makes one thing clear: the biggest shift is no longer model intelligence, it is what AI agents can do once you give them access to your computer, inbox, and files. Host Emily Laird breaks down Mollick’s recommendations for ChatGPT, Claude, Gemini, and Copilot,...
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Open Weights and American AI Leadership
Jensen Huang had an X account for years and never used it, then spent his first post on a three-page policy PDF that fifty companies have now signed. Host Emily Laird reads past the principle and into the machinery, including the one paragraph about distillation that a staffer will read aloud in…
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Claude Opus 5
Anthropic shipped Claude Opus 5 on July 24th at the same price as the model it replaces, and buried the interesting part in a footnote: turn the effort dial to max and the scores go down. Host Emily Laird reads the system card, separates the vendor-run benchmarks from the independently…
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Your AI Notetaker Never Asked
One in three American workers has sat in a meeting with an AI notetaker, and most of them were never asked first. Host Emily Laird traces the path from a leaked Otter transcript that killed a venture deal to a consolidated privacy suit in San Jose, where every named plaintiff was a non-customer…
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The Rework Tax: What AI Productivity Actually Costs
AI did not save you time, it moved the bill to someone else's desk. In this episode, host Emily Laird opens the ledger on the rework tax: the workslop arriving in inboxes that looks finished but is not, the 37 percent of "saved" hours burned on corrections and clarifications, and the jagged...
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Kimi K3: Open Weights, Locked Door
Moonshot 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…
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GPT 5.6: The Model That Needed A Permission Slip
OpenAI 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.…
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Use Case Monday
Using 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...
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96 vs. 48: The Brown University AI Cheating Scandal
A 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...
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Apple v. OpenAI
Apple 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...
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Meta's Fake Teen Factory
Meta 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:...
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Use Case Thursday: Make AI Disagree with You
Host 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...
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Microsoft's 4,800 Layoffs
Microsoft 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...
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OpenAI & the $42 Billion Gift
OpenAI 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…
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Grok 4.5 & the Closed-Loop Machine
Elon 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...
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Use Case Thursday: The Shadow AI Delusion
In this episode, host Emily Laird exposes the massive delusion behind corporate AI bans and the quiet rise of off-the-books model usage. Managers believe a strict firewall stops unauthorized tech, but it only forces employee innovation into the gray market of Shadow AI. Instead of pretending the...
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The Dean Ball Essay or AI Safety has a Control Problem
In this episode, host Emily Laird breaks down Dean Ball’s argument that frontier AI safety is shifting from public frameworks to quiet release control. The real stakes are not just whether advanced models are risky, but who gets to decide when they are safe enough to use. This is a sharp look at...
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GPT-5.6 Sol
OpenAI’s GPT-5.6 Sol is not just another smarter model, it is a preview of controlled intelligence as the new product category. In this episode, host Emily Laird breaks down the real stakes: government-visible model releases, cyber capability, activation classifiers, trusted-access programs, and...
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ABOUT THIS 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.
HOSTED BY
Emily Laird
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Frequently Asked Questions
How many episodes does Generative AI 101 have?
Generative AI 101 currently has 349 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Generative AI 101 about?
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...
How often does Generative AI 101 release new episodes?
Generative AI 101 publishes regularly with 349 episodes available. Check the episode list for the typical release schedule.
Where can I listen to Generative AI 101?
You can listen to Generative AI 101 on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Generative AI 101?
Generative AI 101 is created and hosted by Emily Laird.
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