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Hands-On AI (Audio)

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Hands-On AI explores and explains artificial intelligence — and shows you how to actually use it. Because AI is exactly that: a tool, and like any tool, what matters is what you do with it. In short, focused episodes, Mikah Sargent takes you inside the technology reshaping how we work, create, and communicate. Learn what's really happening inside a large language model, run AI entirely on your own hardware, put the AI already in your pocket to work, and discover uses you hadn't thought of. No buzzwords, no doom — just practical, hands-on help from one human to another.
Submit your AI questions through email at handsonai@twit.tv or via TWiT's social media. You might hear your question answered on the show!

New episodes every Thursday.

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  1. HOAI 6: Will AI Tell You When You're Wrong? - We Push Back on ChatGPT to See If It Caves

    Chatbots have a reputation for telling you what you want to hear. Mikah Sargent tests that by telling ChatGPT it's wrong when it's right. Then he tells one made-up argument twice, with the same facts and only the teller changed, and pushes

  2. HOAI 5: Why Does AI Sound So Generic? - One Prompt, Five Runs, and What Prompt Engineering Really Means

    Ask a chatbot the same thing twice, and you might expect two different answers. Mikah Sargent runs one everyday request through ChatGPT five times and gets back the same basic text, two of them word for word. He explains where differences c

  3. HOAI 4: Is AI Deep Research Worth the Wait? - Four AI Deep Research Tools Get One Hard Question and a Stopwatch

    The big AI apps now have research modes that make you wait for a report full of sources. Is the wait worth it? Mikah Sargent gives ChatGPT, Gemini, Claude, and Perplexity the same complicated question, plus ChatGPT with regular web search a

  4. HOAI 3: The AI That Does the Thing - Meta's Muse Agent Takes On Simple, Hard, and Weird Jobs

    What happens when AI stops talking and starts doing? Mikah Sargent puts Meta's Muse agent to work on simple jobs, hard ones, and a couple of weird ones: a weekly news brief, a day trip, a shopping cart that stops for his approval, a web pag

  5. HOAI 2: Nine Billion Knobs - What's Actually Inside an AI Model, Explained

    What's actually inside an AI model? Mikah Sargent opens up the file from last week's episode and finds tokens, billions of numbers, and one surprisingly simple job: guess the next piece of text. Along the way, he shows why the same question

  6. HOAI 1: The Chatbot in Your Laptop - Run AI on Your Own Computer, No Cloud Required

    Your next chatbot doesn't need the cloud. Mikah Sargent installs a free app, downloads an AI model, turns off the Wi-Fi, and keeps right on chatting, all on an ordinary computer. Along the way, he explains how to read a model listing, inclu

  7. Welcome to Hands-On AI

    Hands-On AI is the show that turns AI confusion into AI confidence. In this introductory episode, Mikah Sargent lays out what the show is and isn't: short, focused episodes — most 10 to 15 minutes — that take one question, one tool, or one

  8. HOAI: Hands-On AI Is Getting Into the Good Stuff - Local Models, Open Weights, No Cloud

    Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own.

  9. HOAI: Hands-On AI Cuts Through Hype and Doom - AI Is a Tool. Here's What It Actually Does

    Depending on who you ask, AI is either going to save the world or end it. Mikah Sargent has a different take: it's a tool, and what matters is what you do with it. Every week on Hands-On AI, Mikah tests the tools everyone's talking about an

  10. HOAI: Introducing Hands-On AI - Everyone Says You Should Use AI. Nobody Says How.

    How many times this week has someone told you that you should be using AI — without ever telling you how? Mikah Sargent introduces Hands-On AI, a new podcast from TWiT.tv with short, focused episodes that explain what these tools actually d

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