Generative AI 101

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 detection software: he simply designed a test the fakes could not afford to sit...

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 thousand pages of schematics, and the executive accused of asking job ca...

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: the four things that make red teaming legitimate. Host Emily Laird walks ...

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 agreement feels comforting but costs you later. This episode is a reality ...

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 traces back to one cash-burning customer. This is the story of a company g...

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 less like patriotism and more like the most expensive insurance policy in c...

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 reinforcement learning that never stops running. The real contest isn't mode...

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 technology does not exist, you will get a precise blueprint for building ...

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 government pressure, lab accountability, and why regulating the mod...

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 the uncomfortable fact that frontier models are now being watched w...

In this episode of Generative AI 101, host Emily Laird breaks down recursive self-improvement, the feedback loop where AI begins helping build better AI. The reality check: this is not a chatbot fantasy, it is frontier labs using models to write code, run tests, build evaluations, and speed up the next generation of systems. When Anthropic says Claude authored more th...

AI scams have gone full Death Star, scaling panic with cloned voices, deepfakes, fake romances, and corporate video-call trickery. Host Emily Laird breaks down how fraud became a factory in 2026, from virtual kidnappings to pig butchering bots with the charm of a Tinder date and the soul of a parking ticket. The fix is gloriously low-tech: slow down, call back, use co...

SpaceX goes public, and suddenly rockets, Starlink, xAI, and AI data centers are all part of the same very expensive storyline. Host Emily Laird breaks down why this IPO is bigger than Wall Street hype, it is a fight over launch, bandwidth, compute, and control of the next tech stack. Come for the rockets, stay for the uncomfortable realization that generative AI runs...

Host Emily Laird breaks down Claude Fable 5, Anthropic’s powerful new AI model that launched with big agentic promises, then got pulled after a U.S. government export-control directive. This episode explains what Fable 5 could do, why its safeguards mattered, and how a jailbreak concern turned a product launch into a national-security drama. Think Silicon Valley...

Host Emily Laird rips into Apple’s WWDC 2026 AI pitch, where Siri gets rebuilt, privacy gets a black turtleneck, and your iPhone tries to stop being dumb about the small stuff. From Apple Intelligence and Visual Intelligence to child safety controls and developer tools, this episode asks whether Cupertino finally has an AI plan or just a shinier hologram. The ve...

Host Emily Laird delivers a sharp, funny Monday reset on where AI is heading and why it does not have to melt your brain. This episode breaks down five practical tips for working with AI in 2026, from picking one useful task to verifying outputs like your career depends on it. Agents, multimodal tools, data boundaries, and human judgment all get their moment under the...

Host Emily Laird calls time on 2023-style prompting and shows why the real AI skill now is directing, not begging a chatbot for magic. From giant context windows to “lost in the middle” failures, this episode explains how to brief AI with sharper context, better examples, and less corporate soup. Think less wizard robe, more Spielberg with a chainsaw and a...