Generative AI 101

When AI Tells You What You Want to Hear

Your AI chatbot thinks your ideas are brilliant. That might be the problem. In this episode of Generative AI 101, host Emily Laird examines AI sycophancy, the tendency of

Your AI Should Not Agree With Everything You Say

Your chatbot thinks your idea is brilliant, and that should worry you. In this episode of Generative AI 101, host Emily Laird explains AI sycophancy: why models trained o

Why AI Should Interview You First

Ask AI to build a workshop and it will hand you a polished agenda without knowing who’s attending, how much time you have, or what success looks like. In this episode, ho

How to Evaluate an AI Model

One AI model can win gold at the International Mathematical Olympiad while another leading model can only read an analog clock about half the time, so what do those recor

What is Context Engineering?

Bigger context windows were supposed to solve everything, but research on “lost in the middle” and context rot shows that AI can have the right answer in front of it and

Stop Prompting AI. Start Managing It.

Generative AI has outgrown the question-and-answer routine, and treating it like a well-read search engine now leaves real value (and real risk) on the table. In this epi

AI Conspiracy Theories: Happy Halloween 🎃

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 fr

Improve Your AI Written Emails

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 a

From Messy Notes to Useful Work

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 t

How to Make AI Actually Read Your Documents

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 mention

Please Be Kind to Claude

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 m

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

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 a

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

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,

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'

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 fourt

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

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 G

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, ho