Forget Python. The new software builders are riding high on vibes, drag, drop, done. In this episode, host Emily Laird breaks down “vibe coding,” the sticky magic of user retention, and the AI All‑Stars dominating the charts like it’s 2001 TRL. From ChatGPT to Cutout Pro, and yes, even JanitorAI (don’t ask), these are the tools you’ll be using even if you don’t know how they work.

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China’s not just building AI, it’s building a whole other version of the internet to run it on. In this episode, host Emily Laird take a sneaking step past the Great Firewall to explore China’s booming generative AI scene, where Quark, Doubao, and Kimi (not a band, but they should be) dominate with tools that make Western platforms look slow and sleepy. We break down why Chinese AI evolves faster, how VPN users are basically undercover agents, and why your favorite AI selfie app might just be a ByteDance export.

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The AI hype machine is cooling off, fewer shiny new toys, more serious contenders. In this episode, hostess with the mostest (of something) Emily Laird breaks down the latest a16z rankings, why the product flood slowed down, and how Google’s been quietly building an AI empire under everyone’s nose. Gemini’s rising, Grok’s flirting in anime, and Meta’s assistant accidentally aired its dirty laundry. We’re talking metrics, mobile surges, and the slow death of sketchy chatbot apps. Think of it as AI market analysis with a side of sarcasm and, as always, zero buzzwords.

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Venture capital powerhouse Andreessen Horowitz, aka a16z, because vowels are apparently optional in Silicon Valley, has been quietly shaping the generative AI boom with its biannual “Top 100” ranking of AI-first apps. In this episode, host Emily Laird breaks down how a16z went from a $300 million moonshot to a $46 billion kingmaker, why they’re tracking AI startups like it’s the Billboard charts, and what wildcards like DeepSeek are doing to dethrone the usual suspects. If you’ve ever wondered who’s really calling the shots in AI, spoiler: it’s the folks with the money, and they’ve got a list.

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AlphaGo didn’t just beat a Go champion, it rewrote the rules of competition. In this episode, host Emily Laird discusses Lee Sedol’s post-match arc, the rise of AlphaZero (a machine so next level it mastered three games in a day), and how that same AI playbook is coming for your office job. From coders and lawyers to journalists and teachers, the AlphaGo moment is already happening. But there’s hope, your creativity, your “Move 78,” still matters. Just don’t expect a standing ovation if you’re clinging to your typewriter.

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AlphaGo may have crushed Lee Sedol, but the aftermath wasn’t just about losing, it was about what humans still bring to the table. In this episode, host Emily Laird traces Sedol’s pivot from humiliation to adaptation, the birth of AlphaZero (the algorithm that mastered Go, Chess, and Shogi in a day), and how that same playbook is rewriting your workplace, from coding and law to journalism and academia.

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AlphaGo vs. Lee Sedol wasn’t just a board game, it was humanity staring down its algorithmic doppelgänger and wondering who gets the last laugh. In this episode, host Emily Laird continues her exploration of the 2016 Go showdown that shocked pros, spawned memes, and gave us two immortal moves: AlphaGo’s eerie, alien “Move 37” and Sedol’s legendary “God Move.” From overconfident predictions to existential gasps, we trace how a quiet Go board in Seoul turned into a global stage for the question: what happens when human intuition meets machine precision and loses?

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Go isn’t just old, it’s ancient, intimidating, and smarter than it looks. For decades, it stood as the Everest of board games, the one thing AI couldn’t conquer without looking like a confused intern at a philosophy lecture. That is, until Google's DeepMind came along with AlphaGo, a Frankenstein of neural nets, reinforcement learning, and sheer digital obsession.

In this episode, host Emily Laird rewinds to the moment when AI stopped being a party trick and started playing mind games, literally. We unpack how Go became AI’s final boss, why brute force wasn’t enough, and how AlphaGo flipped the script by teaching itself to win. Spoiler: it crushed a European champion like he was playing with oven mitts.

From ancient Chinese tea houses to the labs of Google DeepMind, this is the story of the game that broke the board and changed how we think about machines and intelligence forever.

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What do trivia night, jazz bands, and IKEA furniture have in common? They all make more sense once you understand Mixture of Experts. In this episode, host Emily Laird breaks down how LLMs are using conditional computation to get smarter and cheaper, without frying your GPU like a budget toaster. We’re talking expert networks, gating systems, and why the future of AI might look more like a five-star kitchen than a power-hungry robot army.

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Is ChatGPT here to help you ace the test or just do your homework for you? In this episode, host Emily Laird unpacks OpenAI’s new Study Mode, a feature that turns the AI from vending-machine answer bot into a never-tired tutor who actually makes you think. From math problems that fight back to privacy concerns and its big debut in schools via Canvas, we cover why teachers, parents, and even students are warming up to the idea. It might just be the first AI tool that raises grades and consciences.

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