Generative AI 101

Chrome is toast (ok, probably not). Or at least, it might be if Perplexity’s Comet Browser has anything to say about it. In this episode, host Emily Laird breaks down how Comet is trying to outsmart your current browser by acting like a hyper-organized, AI-powered sidekick that shops for you, books your flights, and maybe even watches The Bachelor. But before you burn your bookmarks, we’re also talking sky-high pricing, early beta chaos, and the looming "AI Browser Wars" that have Google, Microsoft, and OpenAI on high alert. This isn’t your dad’s browser, it’s Jarvis, if Jarvis were a little unstable and cost $200 a month.

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Meta just dropped $14.3 billion to buy half of Scale AI and hired their CEO like it was a fantasy football draft. In this episode, host Emily Laird unpacks why Mark Zuckerberg raided Scale AI’s pantry for top talent, including Alexandr Wang and Nat Friedman, and what it means for Meta’s new Superintelligence Lab. It’s part billion-dollar power play, part Avengers-style recruitment, and a giant signal that in 2025, labeled data and elite researchers are Silicon Valley’s new gold.

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Meta just rage-quit its own AI strategy and rolled out the Superintelligence Lab, because nothing says "totally under control" like consolidating teams under Zuck himself. In this episode, host Emily Laird breaks down Meta’s big bet on AGI, its new Avengers-style AI dream team (including Alexandr Wang and Nat Friedman), and the Manhattan-sized data centers designed to power it all. With billion-dollar budgets, 9-digit salaries, and a dash of sci-fi ambition, is this Meta’s masterstroke or Metaverse 2.0 with fancier buzzwords? Spoiler: Yann LeCun still isn’t sold.

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OpenAI’s Agent isn’t here to make small talk. It’s here to get stuff done, like your caffeinated intern who never sleeps, never eats, but still can’t log into your Gmail. In this episode, host Emily Laird breaks down what the Agent actually is, how it turns ChatGPT into a hands-on digital assistant, and why Sam Altman is calling this “the feel of AGI” while also slapping a giant experimental label on it. You’ll learn what this thing can really do, where it crashes into walls, and why it might be the messiest, most exciting step yet in the AI arms race.

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Corporate America’s on Ozempic, and the side effect is mass layoffs. In this episode, host Emily Laird slices into the juicy mess of the AI-powered corporate slim-down brought to you by a fantastic article by the WSJ. Turns out your boss doesn’t hate you, he just read a memo that said a chatbot is cheaper. From Amazon’s Andy Jassy preaching lean teams like it’s a TED Talk for sociopaths, to Walmart quietly firing 100,000 people while raking in billions, we unpack how generative AI is becoming the CFO’s new best friend. Less staff, more spreadsheets, and absolutely no chill.

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Amazon CEO Andy Jassy just dropped a memo that’s equal parts pep talk and pink slip warning: AI is amazing, and it’s coming for your job. In this episode, host Emily Laird breaks down how Amazon is unleashing AI agents like digital Avengers to automate the mundane, boost efficiency, and quietly make some roles...disappear. We unpack what it means to “adapt or become the next Blockbuster,” why passive-aggressive robots are the future of your Slack channel, and how to become an AI-literate teammate before your digital coworkers outpace you.

Forget robot overlords. For now, AI still needs us to clean up its messes, cast its voices, and make sure it doesn’t accidentally go full Bond villain. In this episode, Emily breaks down the New York Times article on 22 new jobs AI could give you instead of just taking yours. From AI ethicists who play moral compass to personality directors deciding whether your chatbot sounds more like Oprah or Steve Harvey, we’re looking at new roles built around trust, integration, and taste. Your next job might involve babysitting a bot, fine-tuning its vibe, or making sure it doesn’t start pitching crypto scams. The future of work is weird, but it’s hiring.

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Sick of AI giving you answers with all the flavor of corporate hold music? In this episode of our AI Pro Tips series, Emily Laird cracks open the secret sauce of prompting: ruthless specificity. Forget vague instructions! Think of AI like a rookie line cook: you want steak and fries, not leftovers from the walk-in. From prepping your prompts with chef-level detail to demanding feedback as sharp as a sushi chef’s knife, we’ll show you how to turn your AI sidekick from phoning it in to plating up brilliance. Want your AI to finally get it right? Give it a real shopping list. Bon appétit, data nerds.

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Think you’ve got all your project bases covered? Think again. In this episode, Emily Laird calls out the hidden holes in your plans that even your espresso-fueled brain misses. Forget the coddling, AI is here to serve up brutal honesty and a reality check, sniffing out the overlooked people, missing voices, and embarrassing assumptions tucked into your “flawless” work. Hear how large language models catch what you don’t, why your team’s digital transformation plan probably won’t fly in rural Iowa, and how a simple AI prompt can make you look like the office genius (while saving you from your own blind spots). This episode is your shortcut to ruthless self-awareness, no ego spared, sandwich possibly stolen.

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Think giving your chatbot a name is just for weirdos and sci-fi fans? Think again. In this episode, Emily Laird tosses out the dry tips and goes full Cast Away, explaining why talking to your AI like it’s a grumpy old professor (or a pirate, or Jeffrey the Roomba) isn’t just quirky, it’s the secret to getting answers that don’t suck. Discover why a dash of personality in your prompts unlocks smarter, sharper responses, and how science says we all secretly want our chatbots to have a favorite snack. By the end, you’ll be ready to give your LLM a tragic backstory and maybe, just maybe, start saying thank you to your dishwasher too.

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