Generative AI 101

GEO: Stop Writing for Robots (They’re Over It)

Keyword stuffing is as outdated as flip phones, and AI-driven search doesn’t care about your SEO tricks from 2012. AI isn’t just reading your content—it’s figuring out if it actually helps people. In this episode, we break down Generative Engine Optimization (GEO), the new way to create content AI trusts, references, and ranks. Learn why intent matters more than keywords, how AI interprets context, and what you can do today to make sure your content doesn’t get ignored. The rules have changed—write for humans, or get left behind.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about GEO than you did before!
 
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GEO: SEO's AI Replacement

Google’s midlife crisis is here, and AI search is taking over. By 2026, search traffic is predicted to drop by 25%, and if your content isn’t optimized for AI, you might as well be screaming into the void. In this episode, we break down Generative Engine Optimization (GEO)—the new way to make AI trust, cite, and use your content. Forget keyword stuffing and backlink games—AI search engines don’t just rank pages, they summarize and repackage them. Want to stay visible in the age of AI? Tune in to learn the new rules, or get left behind.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about GEO than you did before!
 
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SEO Is Dead. Long Live GEO!

Traditional search engines are in trouble, and AI-powered search is calling the shots. Welcome to the world of Generative Engine Optimization (GEO), where stuffing keywords like a Thanksgiving turkey won’t save you. In this episode, Emily Laird breaks down how AI search actually works, why Bob’s pizza blog is doomed, and what it takes to get noticed in an internet run by algorithms. If AI doesn’t cite you, you might as well be yelling into the void. Buckle up—it's time to get optimized.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about GEOthan you did before!
 
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DeepSeek: Fact vs Fiction

DeepSeek’s R1 model dropped, and the internet lost its mind. Some say it’s a game-changer. Others call it a Cold War villain. Is it really the end of OpenAI? A death blow to Nvidia? Or just another case of tech Twitter losing it? In this episode, we bust the biggest myths about DeepSeek—its origins, training costs, efficiency, and whether it “stole” from OpenAI. Plus, should the U.S. be worried about China’s AI progress? Spoiler: It’s complicated. Buckle up, buttercup—we’re cutting through the hype.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about reasoning models than you did before!
 
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Reasoning Models & Prompt Engineering: Ask Smarter, Get Smarter

If you've ever yelled at ChatGPT for giving you a dumb answer, maybe the problem isn’t the AI—it’s the way you asked. In this episode, we break down how to prompt reasoning models the right way. From skipping “think step by step” to using the “Self-Ask” trick, we’ll show you how to get AI to actually think instead of just parroting back words. Because when it comes to talking to AI, it’s not just what you ask—it’s how you ask it.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about reasoning models than you did before!
 
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Pop Quiz, AI: How Do You Test a Thinking Machine?

AI keeps bragging about its "reasoning skills," but is it actually getting smarter, or just better at faking it? In this episode, we put AI’s so-called intelligence to the test with hardcore benchmarks—BIG-Bench HARD, TruthfulQA, and more—to see if these models can truly problem-solve or if they're just memorizing answers like a sneaky high schooler. Spoiler: Not all AIs are built the same, and some are way better at bluffing than thinking. Tune in to find out who’s the real deal and who’s just a smooth talker.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about reasoning models than you did before!
 
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A Reasoning Model Thinks, Therefore It...Is?

AI isn’t just playing back what it’s heard, it’s starting to think (or at least fake it really well). In this episode, we break down Reasoning Large Language Models—how they work, why they matter, and whether AI is finally learning to reason or just getting better at pretending. From OpenAI’s o3-mini to DeepSeek’s brainy R1 we’re talking about the latest in AI that doesn’t just guess—it strategizes. Whether that’s thrilling or terrifying? Well, that’s for you to decide.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about reasoning models than you did before!
 
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AI Inference. Reading Between the Data Points.

Inference is the thing that makes AI seem smart—until it absolutely isn’t. It’s how AI predicts words, makes decisions, and sometimes convinces you it actually knows things (spoiler: it doesn’t). In this episode, we break down the different types of inference, why it’s so expensive, and how AI screws it up—because, let’s be honest, it does. Plus, a deep dive into reasoning models, logic rules that sound like Harry Potter spells, and why AI is still just a very fancy parrot on steroids.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about inference than you did before!
 
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AI Agents Are Unionizing (Kind of)

AI agents aren’t just here to help, they’re teaming up, getting specialized, and maybe even plotting to replace your personal assistant and your fridge. In this episode, we’re breaking down the biggest trends shaping AI agents in 2024 and beyond, from multi-agent systems (yes, AI needs teamwork too) to industry-specific specialization (because your doctor, lawyer, and financial advisor might all be AI soon). Oh, and AI is moving into your personal life, optimizing your grocery lists, home temperature, and Netflix queue—so at least you’ll always have good snacks and a binge-worthy show.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about trends shaping AI Agents than you did before!
 
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Silicon Valley’s New Favorite Money Pit: AI Agents

AI agents aren’t just changing the game, folks, they are the game, and everyone with a venture capital fund is betting big. In this episode, we follow the money, from record-breaking R&D spending at OpenAI, Microsoft, and NVIDIA (Jensen Huang, our Danny Zuko of AI, is back at it again) to the great AI startup shopping spree—where Amazon, Salesforce, and even Microsoft are acquiring companies like they’re collecting Pokémon.Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about investments in AI Agents than you did before!
 
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